A Comprehensive Approach for Bulk Power System Reliability Assessment
|
|
- George Robertson
- 5 years ago
- Views:
Transcription
1 PAPER D: #44 1 A Comprehensive Approach for Bulk Power System Reliability Assessment Fang Yang, Student Member, EEE, A. P. Sakis Meliopoulos, Fellow, EEE, George J. Cokkinides, Member, EEE, and George K. Stefopoulos, Student Member, EEE Abstract This paper proposes a comprehensive approach for bulk power system reliability assessment. Specifically, a framework of security-constrained adequacy evaluation (SCAE) based on analytical techniques is developed to assess the ability of a bulk power system to supply electric load while satisfying security constraints. This approach encompasses three main steps: (a) critical contingency selection, (b) effects analysis, and (c) reliability index computation. Based on an advanced singlephase quadratized power flow, a state linearization approach is developed to improve contingency selection accuracy, and a nondivergent optimal quadratized power flow (NDOQPF) algorithm is proposed to perform contingency effects analysis realistically and efficiently while assuring the convergence of power flow solution. The NDOQPF algorithm is also capable of solving the RTO/SO operational model in the deregulated environment. n addition, a breaker-oriented system network model is developed, based on which the SCAE framework can include the effects of protection system hidden failures on bulk power system reliability as well. The comprehensive approach is demonstrated with EEE reliability test systems. ndex Terms Bulk power system reliability assessment, contingency selection, effects analysis, reliability index, protection system hidden failure, security-constrained adequacy evaluation, single-phase quadratized power flow model.. NTRODUCTON N bulk power system planning and operating procedures, reliability assessment aims to assure reliable and acceptable electricity service to customers[1~4]. With the increase in the complexity of modern power systems and the movement toward power industry deregulation, system models and algorithms of traditional reliability assessment techniques become obsolete as they suffer from the lack of realistic system modeling and slow convergence (even nonconvergence) when the system is heavily stressed. n addition, recent research shows that protection system hidden failures may lead to cascading tripping events and are recognized as a contributing factor in power system disturbances [5~7]. Since protection systems are generally assumed to be perfect when considering bulk power system reliability, the effects of hidden failures in protection systems have not been considered in the current reliability assessment practice. This work was supported in part by the Power System Engineering Research Center (PSERC). Authors are with the Georgia nstitute of Technology, Atlanta, GA 3332, USA. The obective of this study is to advance bulk power system reliability assessment techniques to allow more realistic system modeling and efficient reliability assessment. For this purpose, a framework of security-constrained adequacy evaluation (SCAE) based on analytical techniques is proposed, which includes three main steps: (a) critical contingency selection, (b) effects analysis, and (c) reliability index computation. An advanced single-phase quadratized power flow (SPQPF) model is applied as a basis for the first two steps. Based on the SPQPF model, a state linearization approach is developed to improve contingency selection accuracy, and a non-divergent optimal quadratized power flow (NDOQPF) algorithm is proposed to perform contingency effects analysis realistically and efficiently while assuring the convergence of power flow solution. The NDOQPF algorithm is applicable in both regulated and deregulated operational models. n addition, a breaker-oriented system network model is developed such that the effects of protection system hidden failures can be included in the reliability assessment in the SCAE framework. The proposed comprehensive approach is demonstrated with EEE reliability test systems.. METHODOLOGY The overall computational algorithm of the proposed SCAE methodology for bulk power system reliability assessment is shown in Figure 1. First of all, feasible contingencies up to a certain level are defined. Then a contingency enumeration and selection is applied to enumerate and rank contingencies in each level according to their impact on system operation. The most critical contingencies are then subected to contingency effects analysis. n contingency effects analysis, two options are available in branches A and B: the network solution with remedial actions and the market simulation, which provide the means to perform effects analysis in the regulated or deregulated environment. The results of contingency effects analysis are stored and processed to calculate reliability indices that indicate system reliability levels in a quantitative way. The formulation of SPQPF, maor steps in the SCAE framework, and the evaluation of protection system hidden failures are described in following sections. A. Single-Phase Quadratized Power Flow [8] Traditional power flow models usually suffer from the lack of ability to model complex component characteristics and /7/$ EEE 1587 PowerTech 27
2 PAPER D: #44 2 slow convergence. To improve accuracy and efficiency in contingency selection and effects analysis, a single-phase quadratized power flow (SPQPF) model is applied in the proposed SCAE methodology. The SPQPF model is set up based on the application of the Kirchhoff s current law at each bus, with the intention that most of power flow equations are linear in bulk power systems. Also, system states are expressed in Cartesian coordinates (bus voltage real and imaginary parts) that can avoid trigonometric terms and make power flow equations less complex. Moreover, since Newton s method is ideally suitable to solve quadratic equations, all power flow equations are quadratized, which are achieved by introducing additional state variables. All these considerations in the formulation of the quadratized power flow model can effectively reduce nonlinearity and complexity in the power flow model and provide superior performance in two aspects: (a) faster convergence and (b) ability to model complex load characteristics in the quadratized form. Figure 1. Overall computational algorithm of SCAE methodology for bulk power system reliability assessment. B. Contingency Enumeration and Selection All feasible contingencies are enumerated according to different outage levels. Contingency selection is then applied to each level to identify critical contingencies that may lead to system unreliability, such as system loss of load. Traditional contingency selection based on performance index (P) linearization methods is prone to misranking due to the highly nonlinear nature of the traditional power flow model. n this work, a state linearization approach [9] is applied to reduce the error introduced by the P linearization. n this approach, the contingency ranking problem is reformulated using the SPQPF model that has milder nonlinearities (by construction), and an indirect differentiation procedure is used to yield higher order sensitivity terms in calculating the P of postcontingency situation as shown in Equation (1). Specifically, instead of linearizing performance index directly as in the traditional contingency selection methods, the system state variables are linearized with respect to the contingency control variable, the performance index of post-contingency is then calculated using the linearized post-contingency system state variables, which includes higher-order terms in Taylor s series and provides traces of indices with curvature, which can follow the highly nonlinear variations of the original performance indices to some extent. Results of the state linearization approach have shown promising results in improving contingency ranking accuracy [1~12]. The change in performance index ( J ) from pre-contingency to postcontingency is then used for contingency ranking. After contingency ranking, the most critical contingencies are subected to the effects analysis. post dx J J ( x ( uc 1), uc) du post o dx pre o J J x u 1, c uc J x, uc 1. (1) duc where J performance index pre J pre-contingency performance index post J post-contingency performance index x system state variable x pre-contingency state variable u contingency control variable c Note that the value of contingency control variable u c is one (1.) for the pre-contingency condition and changes to zero () for the post-contingency case. C. Effects Analysis Based on NDOQPF Algorithm A non-divergent optimal quadratized power flow algorithm[13,14] is presented for effects analysis to simulate the system response to the most critical contingencies, including maor controls and operational practices. Consider a system and let vectors x and u represent the system state variables and control variables of remedial actions (RAs) such as unit real/reactive generation adustments, switched capacitors/ reactors, transformer tap/phase shift adustments, and the last RA would be used is load shedding. Assug a given operating state vector x and control variable vector u and considering a general system bus k as shown in Figure 2, unless x and u represent a power flow solution, a mismatch value exists at bus k equal to mk _ r. mk _ i Assume that a fictitious current source ( mk _ r ) is mk _ i placed at bus k and let the output of the current source be equal to the mismatch value mk _ r, the Kirchhoff s mk _ i current law is then satisfied at bus k. Similar fictitious sources/mismatches can be assumed for other SPQPF equations such that x and u represent the current operating condition of the system. The actual operating condition can be obtained by gradually driving the output of the fictitious 1588
3 PAPER D: #44 3 sources/mismatches to zero. This transition can be achieved along a traectory that maintains feasibility and optimality. Mathematically, above procedure is formulated as a constrained optimization problem. n r Minimize J m i u i1 Subect to G( x, u, m) V ~ P Q 1 ~ V V 1,, 1,, l g g u P g Q g u P Q g g u 1,, 1,, 1,, b ged g pv m m 1,, n, (2) where penalty coefficient for mismatches m mismatch value of the i th SPQPF equation i th weight coefficient of the remedial action u th amount of the remedial action adustment n number of SPQPF equations r number of total control variables G ( x, u, m) SPQPF equations x, u, m state, control, mismatch variable vectors respectively b number of buses l number of circuit branches g number of generators participating economic dispatch ed g number of PV generators pv r solution that may include load shedding. n the deregulated environment, power market participants submit their energy bids to the SO/RTO, and the SO/RTO deteres the least expensive dispatch of generation while satisfying customers demand and system reliability requirements [15, 16]. f transmission congestion occurs, energy bids and other remedial actions are appropriately selected to relieve congestion. Mathematically, such SO/RTO operational procedure is formulated as a constrained optimization problem. The obective is to imize the overall system cost in terms of generator bids while satisfying system constraints. The formulated constrained optimization problem in the deregulated environment is no different from that in the regulated environment. Therefore, the proposed NDOQPF algorithm is capable of efficiently solving such the generic SO/RTO operational model as well. D. Effects of Protection System Hidden Failures on Bulk Power System Reliability To take into account the performance of protection systems in reliability assessment, the system network model based on the breaker-oriented substation model is developed [17,18]. An example of breaker-oriented substation model is shown in Figure 3, which includes maor protection system components such as transducers (CT and VT), relays, and circuit breakers. Each component may suffer from hidden failures depending on its inherent mechanism. For example, transducers may not provide outputs that faithfully represent the primary outage or current due to the saturation, a relay may fail to detect the system status correctly and trip the intact system components as a result of an outdated setting, and any failures in the trip mechanism of a circuit breaker, such as the open circuit of trip coils or the circuit breaker plates fail to separate because of welding, will lead to circuit breaker fail to trip. Bus A CB1 TC1 Protection System 1 CB6 L1 F1 CT1 CT2 VT R1 L4 Figure 2. A general bus k in a power system with a fictitious current source. CB2 CB5 The mismatch variable v is reduced gradually from 1 to during the solution procedure. Given v in each step, the solution of the above optimization problem provides new control settings. These controls are implemented in the system and the power flow solution is updated. Any violated operating constraints are included in the set of active constraints. A nonzero value of mismatch variable indicates that the algorithm has not converged yet. The procedure is repeated until no mismatch and no constraint violation exist. The proposed algorithm achieves power flow non-divergence by introducing fictitious sources/mismatches that are driven to zero as the solution progresses. Therefore, the NDOQPF algorithm guarantees convergence if a solution exists; if a solution does not exist, the algorithm provides a sub-optimal L2 CB3 TC3 CT3 Bus B L3 CB4 Protection System 2 Figure 3. A breaker-and-a-half bus arrangement substation model Nowadays, various types of intelligent electronic devices (EDs) in power system substations are able to provide more redundant, accurate, and real time system data and make the system real time monitoring and analysis technologies possible. Such technologies can be used to perform real-time validation and verification for transducer outputs and relay CT4 TC4 R2 1589
4 PAPER D: #44 4 settings by means such as the substation level state estimation and real time system modeling. Therefore, the advanced system monitoring and analysis capability can detect hidden failures existing in transducers and relays considerably. However, such techniques do not detect the circuit breaker s ability to trip. Hidden failures in the circuit breaker trip mechanisms will remain uncovered until circuit breakers fail to open during disturbances. n this work, the consideration of protection system hidden failures concentrates on hidden failures in the circuit breaker trip mechanism (CBTM). The example substation shown in Figure 3 has six circuit breakers, each CBTM can cycle between normal and hidden failure statuses. This process can be modeled as a two-state Markov process. We assume that the occurrences of such hidden failures are independent with their own failure and repair rates. Two-state Markov models for the six CBTMs (CBTM1 to CBTM6) are shown in Figure 4, in which and represent failure and repair rates of each CBTM, CBTM1 1 1 CBTM2 CBTM3 CBTM4 CBTM5 CBTM Figure 4. Two-state Markov models of CBTMs The probabilities of normal and hidden failure statuses of each CBTM are given in following expressions: p ( t) exp( ( ) t), q ( t) 1 p ( t) exp( ( ) t). (3) Hidden failures in CBTMs can cause the trip of intact equipment following system disturbances, which reduces the system reliability level. n this section, an approach of hidden failure effects analysis is proposed to obtain possible hidden failure outages following any initial faults. This approach is illustrated with the following example. We assume that the trip mechanism of circuit breaker 2 (CB2) in the example substation has hidden failure that can cause CB2 fail to open. f an initial fault F1 occurs on transmission line L1, circuit breakers 1 and 2 should open to isolate the faulty circuit L1 accordingly. Since CB2 fail to open due to its hidden failure, circuit breaker 3 (CB3) that is adacent to CB2 will open and cause the outage of intact component transmission line L2. Such effects analysis procedure can be repeated for all other possible initial faults. The hidden failure effects analysis procedure can be performed for all substations in the system. E. Reliability ndex Computation Reliability indices are computed on the basis of identifying the set of contingencies that satisfy a specific failure criterion and the transition rates from any contingency inside the set to a contingency outside the set. Three different classes of reliability indices, including probability, frequency, and duration indices, are computed.. APPROACH DEMONSTRATON n this section, the EEE 24-bus reliability test system and its derivation, the circuit breaker-oriented 24-substation reliability test system, are used to demonstrate advanced techniques developed in the proposed comprehensive approach for bulk power system reliability assessment. The EEE 24-bus reliability test system [19] was developed by the EEE reliability subcommittee for testing various reliability analysis methods. This system is used to test the system state linearization approach and the non-divergent optimal quadratized power flow algorithm. n addition, the hidden failure effects analysis method for evaluating the impact of protection system hidden failures on bulk power system reliability is demonstrated with the circuit breaker-oriented 24-substation reliability test system, which is derived from the EEE 24-bus reliability test system by converting each bus in the original system to a substation with a specific bus arrangement. A. State Linearization Approach To demonstrate the effectiveness of the state linearization approach for critical contingency selection and ranking, the first-level contingencies of the EEE 24-bus reliability test system are ranked using three different contingency selection and ranking methods in terms of the current-based circuit loading index. The three methods include (1) the full power flow solution method, (2) the traditional performance index linearization method, and (3) the proposed system state linearization method. The full power flow solution method calculates the exact performance index changes resulting from contingencies and provides a complete accurate ranking of the contingencies, which is used as the standard to verify the performance of other two methods. The second method is the traditional performance index linearization method that predicts the linear approximation of the exact performance index change. The third method is the proposed state linearization method that predicts the nonlinearity of performance index changes to a certain extent by including higher-order terms in Taylor s series. Based on the three methods, changes in the circuit loading index are computed for the first-level contingencies resulting from independent transmission circuit outages, based on which these contingencies are ranked. Part of ranking results is provided in Table 1, which demonstrates that the proposed state linearization method can reduce misranking significantly in critical contingency selection and ranking compared to the traditional performance index linearization technique. B. Non-Divergent Optimal Quadratized Power Flow Algorithm Based on the results of contingency selection and ranking, the non-divergent optimal quadratized power flow (NDOQPF) algorithm is applied to the most critical contingencies for their effects analysis. Part of the contingency effects analysis results for first-level contingencies resulting from independent circuit outages is listed in Table 2. For each contingency, the 159
5 PAPER D: #44 5 result shows if it causes any operating constraint violations; when constraint violations occur, the result shows if load shedding is required to maintain normal system operation; whenever load shedding is necessary, the corresponding contingency is recorded as a system failure state and make a contribution to system unreliability. Table 2 shows that six contingencies cause constraint violations and require load shedding for the system to operate normally. They represent system failure states. The remaining contingencies may cause constraint violations, but remedial actions without load shedding can maintain normal system operation. Such evaluation results reflect the ability of the NDOQPF algorithm to simulate contingencies in a realistic manner to capture the system response including all maor controls and adustments. Regarding the second-level or higher-level contingencies, using the traditional power flow algorithm to conduct the effects analysis may produce non-convergence because of the severe impact of high-level contingencies on system operation. This non-convergence problem can be solved using the NDOQPF algorithm. For example, consider a second-level contingency that involves the outages of two circuits C3-9 (first level) and C15-24 (second level). The traditional power flow under this second-level contingency diverges, while the NDOQPF algorithm converges and provides a list of remedial actions. For illustrative purposes, the effects analysis procedure and results of this contingency are detailed below. Table 1: Contingency ranking based on three methods. Outage Circuit Exact Ranking P Linearization Ranking State Linearization Ranking C C C C C C C C C C Table 2: SCAE of First Level ndependent Contingencies for EEE 24-Bus RTS (C: Circuit G: Generator) Rank No. Outage Component Constraint Violations (Yes/No) RAs w/o load shedding (Yes/No) Load Shedding (Yes/No) 1 C6-1 Yes Yes Yes 2 C15-24 Yes Yes Yes 3 C3-24 Yes Yes Yes 4 C16-17 Yes Yes Yes 5 C2-6 Yes Yes Yes 6 C13-23 Yes Yes Yes 7 C12-23 Yes Yes No 8 C16-19 Yes Yes No 9 C15-21 Yes Yes No 1 C15-16 Yes Yes No The first-level outage of circuit C3-9 does not cause any constraint violations. The solution after the first-level outage, represented with x (the vector of system state variables) and u (the vector of system control variables), is used as the base case for the second-level outage of C Under the operating point ( x, u ), after the first-level outage and given the additional outage of circuit C15-24, the mismatch vector m is calculated first. The artificial control variable v is then gradually reduced as follows: v : Note that when v is 1., the mismatch vector is m, and the operating point is x andu, the system does not have any constraint violations. n the progress of the solution, the optimization problem shown in Equation (2) is formulated at each step of the control variable v if constraint violations exist and solved using the linear programg technique. The procedure is repeated until variable v reaches zero. During the solution procedure, maor active constraints include the following two inequality constraints: V, V. 3 V 3 24 V 24 Such violated constraints cannot be eliated completely by the available remedial actions (excluding load shedding). Therefore, to maintain the normal system operating conditions, load shedding is applied, and 63% of the system load at bus 3 is tripped as a result. Load shedding _ bus MW 23. 4MVAR. Corresponding to this load change, the reduction in the total amounts of system real power and reactive power outputs are as follows: P MW, Q 23. 4MW. The solution of this second-level contingency illustrates the maor advantage of the NDOQPF algorithm in achieving the non-divergent solution when the system is overstressed by multi-level contingencies. C. Protection System Hidden Failure Effects Analysis The effects of protection system hidden failures on bulk power system reliability are evaluated using a circuit breakeroriented, 24-substation reliability test system, which is mostly derived from the original EEE 24-bus reliability test system. The approach used to develop the circuit breaker-oriented system is to replace each node (bus) of the original system with a substation that has specific bus arrangement (e.g., ring, breaker and a half, and so on). The bus arrangement at each node and the location of each circuit breaker become the explicit part of the network model. Based on the circuit breaker-oriented system model, the effects analysis of the circuit breaker trip mechanism (CBTM) hidden failure is performed for each substation. After the contingencies resulting from CBTM hidden failures for all substations are obtained and consolidated, the securityconstrained adequacy evaluation approach is applied to 1591
6 PAPER D: #44 6 evaluate contingencies resulting from independent, commonmode, and hidden failure outages. The reliability evaluation result of first-level contingencies resulting from transmission circuit outages shows that six contingencies that result from independent outages, four contingencies that result from the common-mode outages, and forty-seven contingencies that result from hidden failure outages lead to system unreliability. Therefore, most of contingencies that lead to system failures are contingencies resulting from hidden failure outages because of intact system component outages following initial system faults, which exacerbate an already stressed system. Part of these contingencies is provided in Table 3. Table 3: List of contingencies leading to system unreliability. Contingency Type Contingency Outage Component Number ndependent 1 C6-1 outage 2 C C C C2-6 Common-mode 6 C19-2A,B outage 7 C2-23A,B Hidden failure 8 C3-9,C3-24 outage 9 C2-4,C4-9 1 C5-1,C C6-1,C C8-1,C C6-1,C C11-14,C14-16 The reliability indices of probability, frequency, and duration of such system loss-of-load events are calculated for both situations with and without the consideration of contingencies resulting from hidden failure outages. All these results are shown in Table 4, which indicate that hidden failures in protection systems can downgrade the system reliability level considerably. Table 4: Comparison of reliability indices with and without contingencies resulting from hidden failure outages. Reliability ndex W/O Hidden Failure Outages With Hidden Failure Outages Probability 6.976e e-4 Frequency(/yr) Duration(hrs) V. CONCLUSONS A comprehensive security-constrained adequacy evaluation (SCAE) methodology based on analytical techniques is proposed for bulk power system reliability assessment. Advanced techniques are developed to improve contingency selection and effects analysis performance. This work also investigates the effects of protection system hidden failures on bulk power system reliability. The advanced techniques in the proposed methodology are demonstrated with EEE reliability test systems. REFERENCES [1] R. Billinton and W. Li, Reliability Assessment of Electric Power Systems Using Monte Carlo Methods, Plenum Press, [2] R. Billinton and R. N. Allan, Reliability Evaluation of Power Systems, Plenum Press, [3] J. Endrenyi, Reliability Modeling in Electric Power System, John Wiley & Sons Ltd., [4] A. P. Meliopoulos, R. Kovacs, N. J. Balu, M. Lauby, N. D. Reppen, M. P. Bhavarau, and R. Billinton, A Probabilistic Method for Transmission Planning, The 2 nd nternational Symposium on Probability Method Applied in Power Systems, Sept [5] D. C. Elizondo and J. De La Ree, Analysis of Hidden Failures of Protection Schemes in Large nterconnected Power Systems, EEE Power Engineering Society General Meeting, 24. [6] A. G. Phadke and J. S. Thorp, Expose Hidden Failures to Prevent Cascading Outages, EEE Computer Application in Power, Vol. 9, No. 3, pp.2-23, [7] D. C. Elizondo, J. De La Ree, A. G. Phadke, and S. Horowitz, Hidden Failures in Protection Systems and Their mpact on Wide-Area Disturbance, Power Engineering Society Winter Meeting, Vol. 2, pp , 21. [8] A. P. S. Meliopoulos, Power System Modeling, Analysis and Control, Georgia nstitute of Technology, 22 [9] S. W. Kang, A New Approach for Power Transaction Evaluation and Transfer Capability Analysis, Ph.D. Dissertation, Georgia nstitute of Technology, 21. [1] PSERC Proect Report, Comprehensive Power System Reliability Assessment, 23. [11] G. Stefopoulos, F. Yang, A. P. S. Meliopoulos, An mproved Contingency Ranking Method, 35 th North American Power Symposium, Oct. 23. [12] G. Stefopoulos, F. Yang, G. J. Cokkinides, and A. P. Meliopoulos, Advanced Contingency Selection Methodology, 37 th North American Power Symposium, Oct. 25. [13] F. Yang, A. P. Meliopoulos, G. J. Cokkinides, and G. Stefopoulos, A Bulk Power System Reliability Assessment Methodology, 8 th nternational Conference on Probabilistic Methods Applied to Power Systems, September 24. [14] F. Yang, A. P. Meliopoulos, G. J. Cokkinides, and G. Stefopoulos, Security-Constrained Adequacy Evaluation of Bulk Power System Reliability, 9 th nternational Conference on Probabilistic Methods Applied to Power Systems, June 25. [15] M. Sasson, Power System Security and Reliability Aspects Under SMD: The New York Experience, EEE Power Engineering Society General Meeting, pp , June 24. [16] D. J. Papakammenos and E. N. Dialynas, Reliability and Cost Assessment of Power Transmission Networks in the Competitive Electrical Energy Market, EEE Transactions on Power Systems, vol. 19, No. 1, pp , Feb. 24. [17] PSERC Proect, New mplications of Power System Fault Current Limits, 25. [18] F. Yang, A. P. S. Meliopoulos, G. J. Cokkinides, and Q. B. Dam, Effects of Protection System Hidden Failures on Bulk Power System Reliability, 38 th North American Power Symposium, June 26. [19] Reliability Test System Task Force of the EEE Subcommittee on the Application of Probability Methods, EEE Reliability Test System, EEE Transactions on Power Apparatus and Systems, vol. PAS-98, No. 6, pp , Nov./Dec
Bulk Power System Reliability Assessment Considering Protection System Hidden Failures
2007 irep Symposium- Bulk Power System Dynamics and Control - V, Revitalizing Operational Reliability August 19-24, 2007, Charleston, SC, USA Bulk Power System Reliability Assessment Considering Protection
More informationPower System Security. S. Chakrabarti
Power System Security S. Chakrabarti Outline Introduction Major components of security assessment On-line security assessment Tools for contingency analysis DC power flow Linear sensitivity factors Line
More informationPowerApps Optimal Power Flow Formulation
PowerApps Optimal Power Flow Formulation Page1 Table of Contents 1 OPF Problem Statement... 3 1.1 Vector u... 3 1.1.1 Costs Associated with Vector [u] for Economic Dispatch... 4 1.1.2 Costs Associated
More informationReliability Evaluation in Transmission Systems
Reliability Evaluation in Transmission Systems Chanan Singh 1 and Joydeep Mitra 2 1 Texas A&M University, College Station, TX, USA 2 Michigan State University, East Lansing, MI, USA 1 Introduction In reliability
More informationSINGLE OBJECTIVE RISK- BASED TRANSMISSION EXPANSION
Vol.2, Issue.1, Jan-Feb 2012 pp-424-430 ISSN: 2249-6645 SINGLE OBJECTIVE RISK- BASED TRANSMISSION EXPANSION V.Sumadeepthi 1, K.Sarada 2 1 (Student, Department of Electrical and Electronics Engineering,
More informationModule 6 : Preventive, Emergency and Restorative Control. Lecture 27 : Normal and Alert State in a Power System. Objectives
Module 6 : Preventive, Emergency and Restorative Control Lecture 27 : Normal and Alert State in a Power System Objectives In this lecture you will learn the following Different states in a power system
More informationReactive Power Compensation for Reliability Improvement of Power Systems
for Reliability Improvement of Power Systems Mohammed Benidris, Member, IEEE, Samer Sulaeman, Student Member, IEEE, Yuting Tian, Student Member, IEEE and Joydeep Mitra, Senior Member, IEEE Department of
More informationComposite System Reliability Evaluation using State Space Pruning
Composite System Reliability Evaluation using State Space Pruning C. Singh, Fellow, IEEE J. Mitra, Student Member, IEEE Department of Electrical Engineering Texas A & M University College Station, Texas
More informationAnalyzing the Effect of Loadability in the
Analyzing the Effect of Loadability in the Presence of TCSC &SVC M. Lakshmikantha Reddy 1, V. C. Veera Reddy 2, Research Scholar, Department of Electrical Engineering, SV University, Tirupathi, India 1
More informationCascading Outages in Power Systems. Rui Yao
Cascading Outages in Power Systems Rui Yao yaorui.thu@gmail.com Outline Understanding cascading outages Characteristics of cascading outages Mitigation of cascading outages Understanding cascading outages
More informationCriticality in a cascading failure blackout model
Electrical Power and Energy Systems 28 (2006) 627 633 www.elsevier.com/locate/ijepes Criticality in a cascading failure blackout model Dusko P. Nedic a, Ian Dobson b, *, Daniel S. Kirschen a, Benjamin
More informationOptimal PMU Placement
Optimal PMU Placement S. A. Soman Department of Electrical Engineering Indian Institute of Technology Bombay Dec 2, 2011 PMU Numerical relays as PMU System Observability Control Center Architecture WAMS
More informationA PROBABILISTIC MODEL FOR POWER GENERATION ADEQUACY EVALUATION
A PROBABILISTIC MODEL FOR POWER GENERATION ADEQUACY EVALUATION CIPRIAN NEMEŞ, FLORIN MUNTEANU Key words: Power generating system, Interference model, Monte Carlo simulation. The basic function of a modern
More informationResearch on the Effect of Substation Main Wiring on the Power System Reliability Yuxin Zhao 1, a, Tao Liu 2,b and Yanxin Shi 3,c
International Power, Electronics and aterials Engineering Conference (IPEEC 2015) esearch on the Effect of ubstation ain Wiring on the Power ystem eliability Yuxin Zhao 1, a, Tao Liu 2,b and Yanxin hi
More informationPower System Research Group Electrical Engineering Dept., University of Saskatchewan Saskatoon, Canada
Abstract Failure Bunching Phenomena in Electric Power Transmission Systems Roy Billinton Gagan Singh Janak Acharya Power System Research Group Electrical Engineering Dept., University of Saskatchewan Saskatoon,
More informationPOWER SYSTEM DYNAMIC SECURITY ASSESSMENT CLASSICAL TO MODERN APPROACH
Abstract POWER SYSTEM DYNAMIC SECURITY ASSESSMENT CLASSICAL TO MODERN APPROACH A.H.M.A.Rahim S.K.Chakravarthy Department of Electrical Engineering K.F. University of Petroleum and Minerals Dhahran. Dynamic
More informationCongestion Alleviation using Reactive Power Compensation in Radial Distribution Systems
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 11, Issue 6 Ver. III (Nov. Dec. 2016), PP 39-45 www.iosrjournals.org Congestion Alleviation
More informationA possible notion of short-term value-based reliability
Energy Laboratory MIT EL 1-13 WP Massachusetts Institute of Technology A possible notion of short-term value-based reliability August 21 A possible notion of short-term value-based reliability Yong TYoon,
More informationSection 5. TADS Data Reporting Instruction Manual DRAFT Section 5 and Associated Appendices With Proposed Event Type Numbers
Section 5 TADS Data Reporting Instruction Manual DRAFT Section 5 and Associated Appendices With Proposed Event Type Numbers Rev. 5/10/2010 1 Section 5 Form for Event ID and Event Type Number Data TO s
More informationPreventing Voltage Collapse with Protection Systems that Incorporate Optimal Reactive Power Control
PSERC Preventing Voltage Collapse with Protection Systems that Incorporate Optimal Reactive Power Control Final Project Report Power Systems Engineering Research Center A National Science Foundation Industry/University
More informationECE 522 Power Systems Analysis II 3.3 Voltage Stability
ECE 522 Power Systems Analysis II 3.3 Voltage Stability Spring 2018 Instructor: Kai Sun 1 Content Basic concepts Voltage collapse, Saddle node bifurcation, P V curve and V Q curve Voltage Stability Analysis
More informationThe Impact of Distributed Generation on Power Transmission Grid Dynamics
The Impact of Distributed Generation on Power Transmission Grid Dynamics D. E. Newman B. A. Carreras M. Kirchner I. Dobson Physics Dept. University of Alaska Fairbanks AK 99775 Depart. Fisica Universidad
More informationFine Tuning Of State Estimator Using Phasor Values From Pmu s
National conference on Engineering Innovations and Solutions (NCEIS 2018) International Journal of Scientific Research in Computer Science, Engineering and Information Technology 2018 IJSRCSEIT Volume
More informationECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 8 - Voltage Stability
ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 8 - Voltage Stability Spring 2014 Instructor: Kai Sun 1 Voltage Stability Voltage stability is concerned with the ability of a
More informationCIGRE US National Committee 2015 Grid of the Future Symposium. Setting-less Protection: Laboratory Experiments and Field Trials
http : //www.cigre.org CIGRE US National Committee 2015 Grid of the Future Symposium Setting-less Protection: Laboratory Experiments and Field Trials A. P. MELIOPOULOS, G.J. COKKINIDES Georgia Institute
More informationRole of Synchronized Measurements In Operation of Smart Grids
Role of Synchronized Measurements In Operation of Smart Grids Ali Abur Electrical and Computer Engineering Department Northeastern University Boston, Massachusetts Boston University CISE Seminar November
More informationRisk Based Maintenance. Breakers using
Risk Based Maintenance Scheduling of Circuit Breakers using Condition-Based d Data Satish Natti Graduate Student, TAMU Advisor: Dr. Mladen Kezunovic Outline Introduction CB Monitoring Maintenance Quantification
More informationEVALUATION OF WIND ENERGY SOURCES INFLUENCE ON COMPOSITE GENERATION AND TRANSMISSION SYSTEMS RELIABILITY
EVALUATION OF WIND ENERGY SOURCES INFLUENCE ON COMPOSITE GENERATION AND TRANSMISSION SYSTEMS RELIABILITY Carmen Lucia Tancredo Borges João Paulo Galvão carmen@dee.ufrj.br joaopaulo@mercados.com.br Federal
More informationIncorporation of Asynchronous Generators as PQ Model in Load Flow Analysis for Power Systems with Wind Generation
Incorporation of Asynchronous Generators as PQ Model in Load Flow Analysis for Power Systems with Wind Generation James Ranjith Kumar. R, Member, IEEE, Amit Jain, Member, IEEE, Power Systems Division,
More informationAn Importance Sampling Application: 179 Bus WSCC System under Voltage Based Hidden Failures and Relay Misoperations
An Importance Sampling Application: Bus WS System under Voltage Based idden Failures and Relay isoperations Koeunyi Bae ames S. Thorp kbae@ee.cornell.edu thorp@ee.cornell.edu School of lectrical ngineering
More informationMixed Integer Linear Programming and Nonlinear Programming for Optimal PMU Placement
Mied Integer Linear Programg and Nonlinear Programg for Optimal PMU Placement Anas Almunif Department of Electrical Engineering University of South Florida, Tampa, FL 33620, USA Majmaah University, Al
More informationTrajectory Sensitivity Analysis as a Means of Performing Dynamic Load Sensitivity Studies in Power System Planning
21, rue d Artois, F-75008 PARIS CIGRE US National Committee http : //www.cigre.org 2014 Grid of the Future Symposium Trajectory Sensitivity Analysis as a Means of Performing Dynamic Load Sensitivity Studies
More informationReliability of Bulk Power Systems (cont d)
Reliability of Bulk Power Systems (cont d) Important requirements of a reliable electric power service Voltage and frequency must be held within close tolerances Synchronous generators must be kept running
More informationCongestion and Price Prediction in Locational Marginal Pricing Markets Considering Load Variation and Uncertainty
The Department of Electrical Engineering and Computer Science Congestion and Price Prediction in Locational Marginal Pricing Markets Considering Load Variation and Uncertainty Dissertation Defense Rui
More informationAssessment of Interruption Costs in Electric Power Systems using the Weibull-Markov Model
Assessment of Interruption Costs in Electric Power Systems using the Weibull-Markov Model JASPER VAN CASTEREN Department of Electric Power Engineering CHALMERS UNIVERSITY OF TECHNOLOGY Göteborg, Sweden,
More informationVedant V. Sonar 1, H. D. Mehta 2. Abstract
Load Shedding Optimization in Power System Using Swarm Intelligence-Based Optimization Techniques Vedant V. Sonar 1, H. D. Mehta 2 1 Electrical Engineering Department, L.D. College of Engineering Ahmedabad,
More informationProbabilistic Evaluation of the Effect of Maintenance Parameters on Reliability and Cost
Probabilistic Evaluation of the Effect of Maintenance Parameters on Reliability and Cost Mohsen Ghavami Electrical and Computer Engineering Department Texas A&M University College Station, TX 77843-3128,
More informationA COMPUTER PROGRAM FOR SHORT CIRCUIT ANALYSIS OF ELECTRIC POWER SYSTEMS
NIJOTECH VOL. 5 NO. 1 MARCH 1981 EJEBE 46 A COMPUTER PROGRAM FOR SHORT CIRCUIT ANALYSIS OF ELECTRIC POWER SYSTEMS BY G.C. EJEBE DEPARTMENT OF ELECTRICAL/ELECTRONIC ENGINEERING UNIVERSITY OF NIGERIA, NSUKKA.
More informationNew criteria for Voltage Stability evaluation in interconnected power system
New criteria for Stability evaluation in interconnected power system Lavanya Neerugattu Dr.G.S Raju MTech Student, Dept.Of EEE Former Director IT, BHU Email: nlr37@gmail.com Visiting Professor VNR Vignana
More informationChapter 2. Planning Criteria. Turaj Amraee. Fall 2012 K.N.Toosi University of Technology
Chapter 2 Planning Criteria By Turaj Amraee Fall 2012 K.N.Toosi University of Technology Outline 1- Introduction 2- System Adequacy and Security 3- Planning Purposes 4- Planning Standards 5- Reliability
More information11.1 Power System Stability Overview
11.1 Power System Stability Overview This introductory section provides a general description of the power system stability phenomena including fundamental concepts, classification, and definition of associated
More informationMonte Carlo Simulation for Reliability Analysis of Emergency and Standby Power Systems
Monte Carlo Simulation for Reliability Analysis of Emergency and Standby Power Systems Chanan Singh, Fellow, IEEE Joydeep Mitra, Student Member, IEEE Department of Electrical Engineering Texas A & M University
More informationMeshed power system reliability estimation techniques
Energy Production and Management in the 21st Century, Vol. 1 235 Meshed power system reliability estimation techniques S. A. Gusev, O. M. Kotov & V. P. Oboskalov Ural Federal University, Russia Abstract
More information= V I = Bus Admittance Matrix. Chapter 6: Power Flow. Constructing Ybus. Example. Network Solution. Triangular factorization. Let
Chapter 6: Power Flow Network Matrices Network Solutions Newton-Raphson Method Fast Decoupled Method Bus Admittance Matri Let I = vector of currents injected into nodes V = vector of node voltages Y bus
More informationPower System Stability and Control. Dr. B. Kalyan Kumar, Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India
Power System Stability and Control Dr. B. Kalyan Kumar, Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India Contents Chapter 1 Introduction to Power System Stability
More informationFault Location in Distribution Feeders with Distributed Generation using Positive Sequence Apparent Impedance
Fault Location in Distribution Feeders with Distributed Generation using Positive Sequence Apparent Impedance ARTURO SUMAN BRETAS Federal University of Rio Grande do Sul Department of Electrical Engineering
More informationModern Power Systems Analysis
Modern Power Systems Analysis Xi-Fan Wang l Yonghua Song l Malcolm Irving Modern Power Systems Analysis 123 Xi-Fan Wang Xi an Jiaotong University Xi an People s Republic of China Yonghua Song The University
More informationA Comparison of Local vs. Sensory, Input- Driven, Wide Area Reactive Power Control
1 A Comparison of Local vs. Sensory, Input- Driven, Wide Area Reactive Power Control Jonathan W. Stahlhut, Member IEEE, Gerald. T. Heydt, Fellow IEEE, and Elias Kyriakides, Member IEEE Abstract In the
More informationRegular paper. Particle Swarm Optimization Applied to the Economic Dispatch Problem
Rafik Labdani Linda Slimani Tarek Bouktir Electrical Engineering Department, Oum El Bouaghi University, 04000 Algeria. rlabdani@yahoo.fr J. Electrical Systems 2-2 (2006): 95-102 Regular paper Particle
More informationOPTIMAL POWER FLOW BASED ON PARTICLE SWARM OPTIMIZATION
U.P.B. Sci. Bull., Series C, Vol. 78, Iss. 3, 2016 ISSN 2286-3540 OPTIMAL POWER FLOW BASED ON PARTICLE SWARM OPTIMIZATION Layth AL-BAHRANI 1, Virgil DUMBRAVA 2 Optimal Power Flow (OPF) is one of the most
More informationEffects of Capacitor Bank Installation in a Medium Voltage (MV) Substation
Effects of Capacitor Bank Installation in a Medium Voltage (MV) Substation Adesina, Lambe Mutalub Department of Engineering & Standardization, Eko Electricity Distribution Plc, 24/25, Marina, Lagos Island,
More informationUNITED STATES OF AMERICA BEFORE THE FEDERAL ENERGY REGULATORY COMMISSION. Interconnection for Wind Energy ) Docket No. RM
UNITED STATES OF AMERICA BEFORE THE FEDERAL ENERGY REGULATORY COMMISSION Interconnection for Wind Energy ) Docket No. RM05-4-000 REQUEST FOR REHEARING OF THE NORTH AMERICAN ELECTRIC RELIABILITY COUNCIL
More informationA Scenario-based Transmission Network Expansion Planning in Electricity Markets
A -based Transmission Network Expansion ning in Electricity Markets Pranjal Pragya Verma Department of Electrical Engineering Indian Institute of Technology Madras Email: ee14d405@ee.iitm.ac.in K.S.Swarup
More informationSlack Bus Treatment in Load Flow Solutions with Uncertain Nodal Powers
8 th International Conference on Probabilistic Methods Applied to Power Systems, Iowa State University, Ames, Iowa, September 12-16, 2004 Slack Bus reatment in Load Flow Solutions with Uncertain Nodal
More informationDetermination of Fault Location in Shunt Capacitor Bank through Compensated Neutral Current
International Journal of Advances in Scientific Research and Engineering (ijasre) E-ISSN : 2454-8006 DOI: http://dx.doi.org/10.7324/ijasre.2018.32630 Volume 4, Issue 3 March - 2018 Determination of Fault
More informationReactive Power Solutions
GE Digital Energy Reactive Power Solutions Effects of Series Capacitors on Line Protection Relaying Design and Settings Presented by: Paul Datka, GE Energy Consulting Luis Polanco, GE Energy Consulting
More informationState Estimation and Power Flow Analysis of Power Systems
JOURNAL OF COMPUTERS, VOL. 7, NO. 3, MARCH 01 685 State Estimation and Power Flow Analysis of Power Systems Jiaxiong Chen University of Kentucky, Lexington, Kentucky 40508 U.S.A. Email: jch@g.uky.edu Yuan
More informationStudy on Identification of Harmonic Contributions Between Utility and Customer
Study on Identification of Harmonic Contributions Between Utility and Customer SVD Anil Kumar Assoc. Professor, Dept.of Electrical and Electronics Engg, St.Ann s College of Engg and T ech., Chirala, Andhra
More informationStochastic Unit Commitment with Topology Control Recourse for Renewables Integration
1 Stochastic Unit Commitment with Topology Control Recourse for Renewables Integration Jiaying Shi and Shmuel Oren University of California, Berkeley IPAM, January 2016 33% RPS - Cumulative expected VERs
More informationProper Security Criteria Determination in a Power System with High Penetration of Renewable Resources
Proper Security Criteria Determination in a Power System with High Penetration of Renewable Resources Mojgan Hedayati, Kory Hedman, and Junshan Zhang School of Electrical, Computer, and Energy Engineering
More informationGeneralized Injection Shift Factors and Application to Estimation of Power Flow Transients
Generalized Injection Shift Factors and Application to Estimation of Power Flow Transients Yu Christine Chen, Alejandro D. Domínguez-García, and Peter W. Sauer Department of Electrical and Computer Engineering
More informationSecurity Monitoring and Assessment of an Electric Power System
International Journal of Performability Engineering Vol. 10, No. 3, May, 2014, pp. 273-280. RAMS Consultants Printed in India Security Monitoring and Assessment of an Electric Power System PUROBI PATOWARY
More informationThe Effect of the Harmonics, the Fault Location and the Fault Resistance on the Performance of the Impedance-Type Distance Relay
American Journal of Applied Sciences 6 (4): 788-796, 2009 SSN 1546-9239 2009 Science Publications The Effect of the Harmonics, the Fault Location and the Fault esistance on the Performance of the mpedance-type
More informationLambda-gaga: Toward a New Metric for the Complex System State of the Electrical Grid
2015 48th Hawaii International Conference on System Sciences Lambda-gaga: Toward a New Metric for the Complex System State of the Electrical Grid B. A. Carreras D. E. Newman I. Dobson Depart. Fisica Universidad
More informationContents Economic dispatch of thermal units
Contents 2 Economic dispatch of thermal units 2 2.1 Introduction................................... 2 2.2 Economic dispatch problem (neglecting transmission losses)......... 3 2.2.1 Fuel cost characteristics........................
More informationPower System Security Analysis. B. Rajanarayan Prusty, Bhagabati Prasad Pattnaik, Prakash Kumar Pandey, A. Sai Santosh
849 Power System Security Analysis B. Rajanarayan Prusty, Bhagabati Prasad Pattnaik, Prakash Kumar Pandey, A. Sai Santosh Abstract: In this paper real time security analysis is carried out. First contingency
More informationBranch Outage Simulation for Contingency Studies
Branch Outage Simulation for Contingency Studies Dr.Aydogan OZDEMIR, Visiting Associate Professor Department of Electrical Engineering, exas A&M University, College Station X 77843 el : (979) 862 88 97,
More informationModule 4-2 Methods of Quantitative Reliability Analysis
Module 4-2 Methods of Quantitative Reliability Analysis Chanan Singh Texas A&M University METHODS OF QUANTITATIVE RELIABILITY ANALYSIS ANALYTICAL METHODS - STATE SPACE USING MARKOV PROCESSES - NETWORK
More informationRisk-Based Composite Power System Vulnerability Evaluation to Cascading Failures Using Importance Sampling
1 Risk-Based Composite Power System Vulnerability Evaluation to Cascading Failures Using Importance Sampling Quan Chen, Student Member, IEEE and Lamine Mili, Senior Member, IEEE Abstract Large-scale blackouts
More informationMulti-Objective Optimization and Online Adaptation Methods for Robust Tuning of PSS Parameters
MEPS 06, September 6-8, 2006, Wrocław, Poland 187 Multi-Objective Optimization and Online Adaptation Methods for Robust Tuning of PSS Parameters G. K. Befekadu, O. Govorun, I. Erlich Institute of Electrical
More informationVOLTAGE stability has become a major concern for the
IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 21, NO. 1, FEBRUARY 2006 171 Continuation-Based Quasi-Steady-State Analysis Qin Wang, Member, IEEE, Hwachang Song, Member, IEEE, and Venkataramana Ajjarapu, Senior
More information1. Introduction. Keywords Transient Stability Analysis, Power System, Swing Equation, Three-Phase Fault, Fault Clearing Time
Energy and Power 17, 7(1): -36 DOI: 1.593/j.ep.1771.3 Numerical Simulations for Transient Stability Analysis of Two-Machine Power System Considering Three-Phase Fault under Different Fault Clearing Times
More informationMinimization of load shedding by sequential use of linear programming and particle swarm optimization
Turk J Elec Eng & Comp Sci, Vol.19, No.4, 2011, c TÜBİTAK doi:10.3906/elk-1003-31 Minimization of load shedding by sequential use of linear programming and particle swarm optimization Mehrdad TARAFDAR
More informationWenhui Hou* Department of Mechanical Engineering, Tangshan Polytechnic College, Tangshan , China *Corresponding author(
Rev. Téc. Ing. Univ. Zulia. Vol. 39, Nº 3, 238-245, 216 doi:1.21311/1.39.3.31 Reliability Assessment Algorithm of Rural Power Network Based on Bayesian Network Yunfang Xie College of Mechanical and Electrical
More informationDeregulated Electricity Market for Smart Grid: A Network Economic Approach
Deregulated Electricity Market for Smart Grid: A Network Economic Approach Chenye Wu Institute for Interdisciplinary Information Sciences (IIIS) Tsinghua University Chenye Wu (IIIS) Network Economic Approach
More informationReal Time Voltage Control using Genetic Algorithm
Real Time Voltage Control using Genetic Algorithm P. Thirusenthil kumaran, C. Kamalakannan Department of EEE, Rajalakshmi Engineering College, Chennai, India Abstract An algorithm for control action selection
More informationReal-Time Wide-Area Dynamic Monitoring Using Characteristic Ellipsoid Method
Real-Time Wide-Area Dynamic Monitoring Using Characteristic Ellipsoid Method Funded by DOE through CERTS Presented by Dr. Yuri V. Makarov on behalf of the project team NASPI Meeting Orlando, FL February
More informationA Framework for Multi-Level Reliability Evaluation of Electrical Energy Systems
A Framework for Multi-Level Reliability Evaluation of Electrical Energy Systems Alejandro D. Domínguez-García and Philip T. Krein Grainger Center for Electric Machinery and Electromechanics Department
More informationOPTIMAL DISPATCH OF REAL POWER GENERATION USING PARTICLE SWARM OPTIMIZATION: A CASE STUDY OF EGBIN THERMAL STATION
OPTIMAL DISPATCH OF REAL POWER GENERATION USING PARTICLE SWARM OPTIMIZATION: A CASE STUDY OF EGBIN THERMAL STATION Onah C. O. 1, Agber J. U. 2 and Ikule F. T. 3 1, 2, 3 Department of Electrical and Electronics
More informationOutage Coordination and Business Practices
Outage Coordination and Business Practices 1 2007 Objectives What drove the need for developing a planning/coordination process. Why outage planning/coordination is crucial and important. Determining what
More informationDISTRIBUTION SYSTEM OPTIMISATION
Politecnico di Torino Dipartimento di Ingegneria Elettrica DISTRIBUTION SYSTEM OPTIMISATION Prof. Gianfranco Chicco Lecture at the Technical University Gh. Asachi, Iaşi, Romania 26 October 2010 Outline
More informationECE 476. Exam #2. Tuesday, November 15, Minutes
Name: Answers ECE 476 Exam #2 Tuesday, November 15, 2016 75 Minutes Closed book, closed notes One new note sheet allowed, one old note sheet allowed 1. / 20 2. / 20 3. / 20 4. / 20 5. / 20 Total / 100
More informationKeeping medium-voltage grid operation within secure limits
Chaire académique ORES «Smart Grids Smart Metering» Journée d études, Fac. Polytech. UMons, 20 nov. 2014 Keeping medium-voltage grid operation within secure limits Thierry Van Cutsem Hamid Soleimani Bidgoli
More informationPerformance Improvement of the Radial Distribution System by using Switched Capacitor Banks
Int. J. on Recent Trends in Engineering and Technology, Vol. 10, No. 2, Jan 2014 Performance Improvement of the Radial Distribution System by using Switched Capacitor Banks M. Arjun Yadav 1, D. Srikanth
More informationMitigation of Distributed Generation Impact on Protective Devices in a Distribution Network by Superconducting Fault Current Limiter *
Energy and Power Engineering, 2013, 5, 258-263 doi:10.4236/epe.2013.54b050 Published Online July 2013 (http://www.scirp.org/journal/epe) Mitigation of Distributed Generation Impact on Protective Devices
More informationPrice Correction Examples
Price Correction Examples Billing and Price Correction Task Force September 19, 2005 Nicole Bouchez, Ph.D. Sr. Economist Market Monitoring and Performance Price Correction Examples Data Input Errors Bad
More informationMonte Carlo simulation for evaluating retail wheeling effects
Electric Power Systems Research 60 (2002) 137 144 www.elsevier.com/locate/epsr Monte Carlo simulation for evaluating retail wheeling effects A.G. Bakirtzis a, *, Yong-Ha Kim b,1, A.P. Sakis Meliopoulos
More informationSmart Grid State Estimation by Weighted Least Square Estimation
International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 8958, Volume-5, Issue-6, August 2016 Smart Grid State Estimation by Weighted Least Square Estimation Nithin V G, Libish T
More informationMin-max Transfer Capability: A New Concept
roceedings of the 34th Hawaii International Conference on System Sciences - 00 Min-max Transfer Capability: A New Concept D. Gan X. Luo D. V. Bourcier dgan@iso-ne.com xluo@iso-ne.com dbourcie@iso-ne.com
More informationTransmission congestion tracing technique and its application to recognize weak parts of bulk power systems
J. Mod. Power Syst. Clean Energy DOI 10.1007/s40565-016-0230-7 Transmission congestion tracing technique and its application to recognize weak parts of bulk power systems Ming GAN 1,2, Kaigui XIE 1, Chunyan
More informationDecision making under uncertainty in power system using Benders decomposition
Graduate Theses and Dissertations Graduate College 2008 Decision making under uncertainty in power system using Benders decomposition Yuan Li Iowa State University Follow this and additional works at:
More informationApplication of the Three-Phase STATCOM in Voltage Stability
Application of the Three-Phase STATCOM in oltage Stability uan M.Ramírez 1 and.l. Murillo Pérez 1 Center for Research and Advanced Studies, National Polytechnic Institute Prolongación López Mateos Sur
More informationPower System Analysis Prof. A. K. Sinha Department of Electrical Engineering Indian Institute of Technology, Kharagpur
Power System Analysis Prof. A. K. Sinha Department of Electrical Engineering Indian Institute of Technology, Kharagpur Lecture - 9 Transmission Line Steady State Operation Welcome to lesson 9, in Power
More informationPursuant to Section 205 of the Federal Power Act ( FPA ) 1 and the Commission s
PJM Interconnection 2750 Monroe Boulevard Norristown, PA 19403-2497 Steven R. Pincus Associate General Counsel 610.666.4370 fax 610.666.8211 steven.pincus@pjm.com July 31, 2017 Honorable Kimberly D. Bose
More informationNew Formulations of the Optimal Power Flow Problem
New Formulations of the Optimal Power Flow Problem Prof. Daniel Kirschen The University of Manchester 2010 D. Kirschen and The University of Manchester 1 2010 D. Kirschen and The University of Manchester
More informationTRANSMISSION lines are important components of modern
6 CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, VOL 2, NO 4, DECEMBER 216 Dynamic State Estimation Based Protection of Mutually Coupled Transmission Lines Yu Liu, Student Member, IEEE, A P Meliopoulos, Fellow,
More informationReal power-system economic dispatch using a variable weights linear programming method
Open Access Journal Journal of Power Technologies 95 (1) (2015) 34 39 journal homepage:papers.itc.pw.edu.pl Real power-system economic dispatch using a variable weights linear programming method M. Rahli,
More informationReliability Assessment and Modeling of Cyber Enabled Power Systems with Renewable Sources and Energy Storage
Reliability Assessment and Modeling of Cyber Enabled Power Systems with Renewable Sources and Energy Storage Final Project Report T-53 Power Systems Engineering Research Center Empowering Minds to Engineer
More informationAdaptive Distance Relaying Scheme for Power Swing Tripping Prevention
Adaptive Distance Relaying Scheme for Power Swing Tripping Prevention 1 NOR ZULAILY MOHAMAD, AHMAD FARID ABIDIN, 3 ISMAIL MUSIRIN Centre of Electrical Power Engineering Studies Universiti Teknologi MARA
More informationAutomatic Slow Voltage Controller for Large Power Systems
Automatic Slow Voltage Controller for Large Power Systems Mani V. Venkatasubramanian Washington State University Pullman WA 2003 Washington State University, Pullman, WA 1 Objectives Automatic switching
More information