Power System Security. S. Chakrabarti

Similar documents
Real Time Voltage Control using Genetic Algorithm

Module 6 : Preventive, Emergency and Restorative Control. Lecture 27 : Normal and Alert State in a Power System. Objectives

Reliability of Bulk Power Systems (cont d)

Analyzing the Effect of Loadability in the

Sensitivity-Based Line Outage Angle Factors

Role of Synchronized Measurements In Operation of Smart Grids

Cascading Outages in Power Systems. Rui Yao

SINGLE OBJECTIVE RISK- BASED TRANSMISSION EXPANSION

Power System Security Analysis. B. Rajanarayan Prusty, Bhagabati Prasad Pattnaik, Prakash Kumar Pandey, A. Sai Santosh

Application of Monte Carlo Simulation to Multi-Area Reliability Calculations. The NARP Model

Branch Outage Simulation for Contingency Studies

Power System Stability and Control. Dr. B. Kalyan Kumar, Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India

Generalized Injection Shift Factors and Application to Estimation of Power Flow Transients

Minimization of Energy Loss using Integrated Evolutionary Approaches

Introduction to State Estimation of Power Systems ECG 740

Contents Economic dispatch of thermal units

A STATIC AND DYNAMIC TECHNIQUE CONTINGENCY RANKING ANALYSIS IN VOLTAGE STABILITY ASSESSMENT

Automatic Generation Control. Meth Bandara and Hassan Oukacha

Chapter 8 VOLTAGE STABILITY

An Efficient Decoupled Power Flow Control Method by use of Phase Shifting Transformers

Congestion Alleviation using Reactive Power Compensation in Radial Distribution Systems

Research 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

Blackouts in electric power transmission systems

PowerApps Optimal Power Flow Formulation

Software Tools: Congestion Management

11.1 Power System Stability Overview

POWER SYSTEM DYNAMIC SECURITY ASSESSMENT CLASSICAL TO MODERN APPROACH

Automatic Slow Voltage Controller for Large Power Systems

Reactive Power Compensation for Reliability Improvement of Power Systems

Weighted Least Squares Topology Error Detection And Identification

Power grid vulnerability analysis

On-Line TSA and Control at EMS Control Centers for Large Power Grids

Chapter 2. Planning Criteria. Turaj Amraee. Fall 2012 K.N.Toosi University of Technology

ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 8 - Voltage Stability

Commissioning and Testing of AVR and PSS

UNITED STATES OF AMERICA BEFORE THE FEDERAL ENERGY REGULATORY COMMISSION. Interconnection for Wind Energy ) Docket No. RM

GIS Solution For Electric Utilities With Integration With Distribution Management System

Notes on Power System Voltage Stability

UNIVERSIDAD DE CASTILLA-LA MANCHA

ECE 476. Exam #2. Tuesday, November 15, Minutes

Stochastic Unit Commitment with Topology Control Recourse for Renewables Integration

Adaptive under frequency load shedding using synchrophasor measurement

STATE ESTIMATION IN DISTRIBUTION SYSTEMS

Keeping medium-voltage grid operation within secure limits

Composite System Reliability Evaluation using State Space Pruning

Control Strategies for Microgrids

New Formulations of the Optimal Power Flow Problem

Security Monitoring and Assessment of an Electric Power System

Dynamic Decomposition for Monitoring and Decision Making in Electric Power Systems

Sample average approximation and cascading failures of power grids. Daniel Bienstock, Guy Grebla, Tingjun Chen, Columbia University GraphEx 15

Cyber Attacks, Detection and Protection in Smart Grid State Estimation

ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 7 - Transient Stability

New criteria for Voltage Stability evaluation in interconnected power system

A Benders Decomposition Approach to Corrective Security Constrained OPF with Power Flow Control Devices

Bulk Power System Reliability Assessment Considering Protection System Hidden Failures

Dynamic Voltage Stability Enhancement of a Microgrid with Static and Dynamic Loads Using Microgrid Voltage Stabilizer

ELEC4612 Power System Analysis Power Flow Analysis

Risk Based Maintenance. Breakers using

Optimal PMU Placement

WIDE AREA CONTROL THROUGH AGGREGATION OF POWER SYSTEMS

A Novel Technique to Improve the Online Calculation Performance of Nonlinear Problems in DC Power Systems

A Comprehensive Approach for Bulk Power System Reliability Assessment

elgian energ imports are managed using forecasting software to increase overall network e 칁 cienc.

= V I = Bus Admittance Matrix. Chapter 6: Power Flow. Constructing Ybus. Example. Network Solution. Triangular factorization. Let

Optimal Locating and Sizing of TCPST for Congestion Management in Deregulated Electricity Markets

Master Thesis on An Approach for Optimal Placement of SVC to Minimize Load Curtailment

Quantifying Cyber Security for Networked Control Systems

Lossy DC Power Flow. John W. Simpson-Porco. Universidad de Chile Santiago, Chile. March 2, 2017

DISTRIBUTION SYSTEM OPTIMISATION

A NEW STATE TRANSITION MODEL FOR FORECASTING-AIDED STATE ESTIMATION FOR THE GRID OF THE FUTURE

Course notes for EE394V Restructured Electricity Markets: Locational Marginal Pricing

PMU-Based Power System Real-Time Stability Monitoring. Chen-Ching Liu Boeing Distinguished Professor Director, ESI Center

Enterprise GIS to Support ADMS ESRI GeoConx EGUG 2016 Parag Parikh

POWER SYSTEM STABILITY

Section 5. TADS Data Reporting Instruction Manual DRAFT Section 5 and Associated Appendices With Proposed Event Type Numbers

Peterborough Distribution Inc Ashburnham Drive, PO Box 4125, Station Main Peterborough ON K9J 6Z5

Analysis of Coupling Dynamics for Power Systems with Iterative Discrete Decision Making Architectures

Optimal Power Flow. S. Bose, M. Chandy, M. Farivar, D. Gayme S. Low. C. Clarke. Southern California Edison. Caltech. March 2012

International Workshop on Wind Energy Development Cairo, Egypt. ERCOT Wind Experience

A New Approach to Constructing Seasonal Nomograms in Planning and Operations Environments at Idaho Power Co.

SPEED-GRADIENT-BASED CONTROL OF POWER NETWORK: CASE STUDY

Long-term voltage stability : load aspects

Economic Operation of Power Systems

1 Unified Power Flow Controller (UPFC)

Power Grid State Estimation after a Cyber-Physical Attack under the AC Power Flow Model

Smart Grid State Estimation by Weighted Least Square Estimation

Probabilistic Assessment of Atc in the Deregulated Network

A preventive control model for static voltage stability and thermal stability based on power transfer capabilities of weak branches

Fine Tuning Of State Estimator Using Phasor Values From Pmu s

The DC Optimal Power Flow

Regular paper. Particle Swarm Optimization Applied to the Economic Dispatch Problem

ECE 522 Power Systems Analysis II 3.3 Voltage Stability

Assessment of Available Transfer Capability Incorporating Probabilistic Distribution of Load Using Interval Arithmetic Method

False Data Injection Attacks Against Nonlinear State Estimation in Smart Power Grids

A Scenario-based Transmission Network Expansion Planning in Electricity Markets

VOLTAGE stability has become a major concern for the

Modelling and Simulation of TCPAR for Power System Flow Studies

Real power-system economic dispatch using a variable weights linear programming method

Reactive Power Contribution of Multiple STATCOM using Particle Swarm Optimization

Reading a GE PSLF *.epc into PWS. Tracy Rolstad Avista System Planning WECC PWSUG, 14 March 2012

Transcription:

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 outage distribution factor Algorithm for contingency analysis

What is power system security? Power system security may be looked upon as the probability of the system s operating point remaining within acceptable ranges, given the probabilities of changes in the system (contingencies) and its environment.

T.E. Dy Liacco, The Adaptive Reliability Control System, IEEE Trans. PAS, Vol. PAS-86, No.5, May 1967, PP.517.531. Dy Liacco first pointed out in 1967 that a power system may be identified to be operating in a number of states. Figur: Operating States of the Power System

Preventive state The preventive state is actually the normal state. The term preventive was used to stress the Security aspect of the normal operation. Normal operating condition usually means that all the apparatus are running within their prescribed limits, and all the system variables are within acceptable ranges. The system should also continue to operate normally even in the case of credible contingencies. The operator should foresee such contingencies (disturbances) and take preventive control actions (as economically as possible) such that the system integrity and quality of power supply is maintained.

Emergency state The power system enters an emergency state when some of the components operating limits are violated; some of the states wander outside the acceptable ranges, or when the system frequency starts to decrease. The control objective in the emergency state is to relieve system stress by appropriate actions. Economic considerations become secondary at this stage.

Restorative state Restorative state is the condition when some parts (or whole) of the system has lost power. The control objective in this state is to steer the system to a normal state again by taking appropriate actions.

L. H. Fink and K. Carlsen, Operating under stress and strain, IEEE Fink and Carlson Spectrum, further refined the model March, of power system 1978 states, as shown in Fig. 5.2,,, h,, ( ) Figur: State. transition 5.2 diagram (Fink and Carlsen) Power system operation can be described by three sets of generic equations: one

State transition diagram, Fink, Carlsen,... contd. Power system operation can be described by three sets of generic equations: one differential, and two algebraic. Of the two sets of algebraic equations, one comprises of equality constraints(e), which is the balance between generation and load demand. The other set consists of inequality constraints (I) which ensure that the various components in the system and the states (e.g. voltages and currents) remain within safe or acceptable limits.

State transition diagram, Fink, Carlsen,... contd. If the generation falls below certain threshold, load increases beyond some limit, or a potentially dangerous disturbance becomes imminent, the system is said to enter the alert state. Though the equality (E) and inequality (I) constraints are still maintained, preventive controls should be brought into action to steer the system out of the alert state. If preventive control fails, or the disturbance is reverse, the system may enter into an emergency state, though the demand is still met by the generation, one or more component or state violate the prescribed operation limits. Emergency control actions should immediately be brought into action to bring the system back to the normal state.

State transition diagram, Fink, Carlsen,... contd. If the emergency control actions also fail, the system may enter extremis state which is characterized by disintegration of the entire system into smaller islands, or a complete system blackout. It may take anywhere between few seconds to few minutes for a system to enter an extremis state from a normal state. The restoration process however is very slow. It may take several hours or even days to bring the system back to normal.

Major components of security assessment System monitoring Contingency analysis Preventive and corrective actions

System monitoring The prerequisite for security assessment of a power system is the knowledge of the system states. Monitoring the system is therefore the first step. Measurement devices dispersed throughout the system help in getting a picture of the current operating state. The measurements can be in the form of power injections, power flows, voltage, current, status of circuit breakers, switches, transformer taps, generator output etc., which are telemetered to the control centre. Usually a state estimator is used in the control centre to process these telemetered data and compute the best estimates of the system states. Remote control of the circuit breakers, disconnector switches, transformer taps etc. is generally possible. The entire measurement and control system is commonly known as supervisory control and data acquisition (SCADA) system.

Contingency analysis Once the current operating state is known, the next task is the contingency analysis. Results of contingency analysis allow the system to be operated defensively. Major components of contingency analysis are: Contingency definition Contingency selection Contingency evaluation

Contingency analysis...contd. Contingency definition involves preparing a list of probable contingencies. Contingency selection process consists of selecting the set of most probable contingencies in preferred; they need to be evaluated in terms of potential risk to the system. Usually, fast power flow solution techniques such as DC power flow are used to quickly evaluate the risks associated with each contingency. Finally, the selected contingencies are ranked in order of their security, till no violation of operating limits is observed.

Preventive and corrective actions Preventive and corrective actions are needed to maintain a secure operation of a system or to bring it to a secure operating state. Corrective actions such as switching of VAR compensating devices, changing transformer taps and phase shifters etc. are mainly automatic in nature, and involve short duration. Preventive actions such as generation rescheduling involve longer time scales. Security-constrained optimal power flow is an example of rescheduling the generations in the system in order to ensure a secure operation.

On-line security assessment In earlier days, security assessment in a power system was mainly offline in nature. Predefined set of rules or nomographs were used to assist the operators in the decision-making process. However, due to the highly interconnected nature of modern power systems, and deregulated energy market scenarios, operating conditions and even the topology of a power system changes frequently. Off-line techniques for security assessment are therefore no- longer reliable in modern power systems. On-line security assessment techniques use near-real-time measurements from different locations in a power system, and continuously update the security assessment of the system.

N. Balu et.al., On-line power system security analysis, Proc. of the IEEE, Vol 80, No. 2, Feb. 1992, pp. 262-280.

DC power flow Active power flow between buses i and j is given by, P ij = V iv j X ij sin(θ i θ j ) (1) Assuming V i = V j = 1 p.u., and sin(θ i θ j ) (θ i θ j ), (since (θ i θ j ) is usually very small), Power injection at bus i therefore is given by, P ij (θ i θ j ) X ij (2) P i = N P ij = j=1 N j=1 (θ i θ j ) X ij (3)

DC power flow...contd. Hence, Now, P i θ i = N j=1 1 x ij (4) P i = 1 (5) θ j x ij P i = P i θ 1 +... + P i θ N (6) θ 1 θ N Iterative equations for power flow then become: P 1 B 11 B 12... B 1N θ 1... =.............. (7)....... P N B N1 B N2... B NN θ N Or, P = [B][ θ] (8)

Linear sensitivity factors Analyzing in details a large number of contingencies is a difficult task. An easy (approximate) way to quickly compute any possible violation of operating limits is the one of linear sensitivity factors. Two such sensitivity factors for checking line flow violations are generation shift factors and line outage distribution factors.

Generation shift factors They calculate the effect of change in generation on the line flows, as shown below: a li = f l P i (9) where a li is the linearized generation shift factor for the lth line for a change in output of ith generator; f l is the MW change in power flow in the lth line; P i is the change in generation at the ith bus.

Generation shift factors...contd. It is assumed here that the change in generation at the ith bus is picked up by the reference bus. The new values of power flows in each line can be found from: f new l = f old l + a li P i ; l = 1, 2,..., L (10) where fl old is the power flow in the lth line before the ith generator went out. Assuming Pi old to be the output of the ith generator before fault, above equation can be expressed as, f new l = f old l a li Pi old ; l = 1, 2,..., L; [ P i = Pi old ]. (11)

Generation shift factors...contd. Once the new values of flows are computed for all the lines, they are compared with corresponding line flow limits. Operators are alarmed in case of any limit violations. In a practical power system, due to governor actions, the loss of generation at the bus i may be compensated by their generators throughout the system. A frequently used method is to assume that the loss of generation is distributed among participating generators in proportion to their maximum MW rating.

Generation shift factors...contd. Therefore, the proportion of generation pickup by the jth generator is given by, γ ji = N G k=1 k i Pmax j P max k (12) where Pk max is the maximum MW rating of the kth generator; N G is the number of participating generators; γ ji is the proportionality factor for pickup on generating unit j when unit i fails. The new line flows are then given by, f new l = f old l N G + a li P i (a li γ ji P i ) (13) j=1 i Note: It is assumed here that no unit hits its generating limit.

Line outage distribution factor Line outage distribution factors are used to quickly check line overloading as a result of outage of any transmission line, and are defined as follows: d lk = f l fk old (14) where d lk is the line outage distribution factor for line l after an outage of line k; f l is the change in MW flow in line l due to the outage of line k; fk old is the flow in line k before its outage. The new value of line flow is given by, f new l = f old l + d lk f old k (15)

Algorithm for contingency analysis Algorithm for contingency analysis h =1 =1 =. =. h = +1 = = +1 =.5.4 h