IEEE PES Task Force on Benchmark Systems for Stability Controls

Size: px
Start display at page:

Download "IEEE PES Task Force on Benchmark Systems for Stability Controls"

Transcription

1 IEEE PES Task Force on Benchmark Systems for Stability Controls Report on Benchmark #2 The Brazilian 7 Bus (Equivalent Model) Version 1 - October 23 rd, 214 Fernando J. de Marco, Leonardo Lima and Nelson Martins The results presented in this report correspond to time-domain simulations of different disturbances and eigenvalue calculations for the Benchmark System #2 performed with and /PacDyn software. This system, as described in [1], is oscillatory unstable without power system stabilizers. All linear techniques for locating stabilizers (e.g., transfer function residues, participation factors, etc.) indicate that the unstable mode can be stabilized by a PSS at Itaipu (bus #4). However, the key characteristic of this system is the presence of a zero in the transfer function associated with the PSS at Itaipu (bus #4) that precludes proper damping of the mode with just one PSS at Itaipu [1]. Therefore, stabilizers at the other machines (except the equivalent machine at bus #7) are necessary to eliminate this poorly located transfer function zero and thus achieve sufficient damping for the unstable oscillation mode. Time domain simulations The main objective associated with the selection of these disturbances is to assess the system damping and the effectiveness of the proposed stabilizers in providing damping to these oscillations. Both disturbances excite the unstable interarea mode of.85 Hz. Results are presented for the system without PSS, with PSS at Itaipu only, and with PSS at all generators except the equivalent (at bus #7). The first set of simulations comprises the connection of a 5 Mvar reactor at the Ivaiporã 765 kv bus (bus #6) at t = 1. second. The reactor is disconnected 1 ms later, without any further changes in the system topology. The second set of simulations corresponds to a 2% step in voltage reference at the Itaipu machine (bus #4), applied at t = 1. second. The step is removed (i.e., 2% step is applied) at t = 11. seconds. Eigenanalysis The eigenanalysis consists in the calculation of the linear system eigenvalues and participation factors. The results are summarized in tables.

2 1. System model 1.1 /PacDyn Dynamic Simulation Models The models and associated parameters for the dynamic simulation models used in the /PacDyn setup are described in this section. 1.1.a) Synchronous Machines The generator model used to represent the salient pole units is the library model Synchronous Machine Model 2, shown in the block diagram in Figure 1, which is a 5 th order dynamic model. Saturation effects are neglected in all cases. Details about the implementation of the model are available in the software documentation [2]. a) Quadrature axis b) Direct axis Figure 1: Block Diagram for the s synchronous Machine Model b) Excitation Systems The excitation systems of all generators are represented by the s library model Voltage Regulator Model 2 shown in Figure 2, with the parameters in Table 1.

3 Figure 2: Block Diagram for the Anatem s Voltage Regulator Model 2. Table 1: Parameters of the Automatic Voltage Regulators Modeled in Parameter T m K a T 1 T 2 T 3 T 4 L min L max Value. s 3. pu. s.5 s 1. s 1. s -4. pu 5. pu 1.1.c) Power System Stabilizers The power system stabilizers are represented in by the library model Stabilizer Model 1 shown in the block diagram in Figure 3, with the parameters in Table 2. Figure 3: Power System Stabilizer Modeled in. Table 2: Parameters of the Power System Stabilizers Modeled in. Parameter Value Units 1, 2 and 3 Unit4 K 3 pu 48 pu T 3. s 3. s T 1.3 s.52 s T 2.75 s.65 s T 3.3 s.52 s T 4.75 s.65 s L min -.1 pu -.1 pu L max.1 pu.1 pu

4 1.2 Dynamic Simulation Models The models and associated parameters for the dynamic simulation models used in the setup are described in this section. 1.2.a) Synchronous Machines The generator model used to represent the salient pole units is the PSS E model GENSAE, shown in the block diagram in Figure 4. This is a 5 th order dynamic model with the saturation represented by the geometric (exponential) function S = S1. E X, where X = ln(s1.2/s1.)/ln(e1.) and E is the input. Speed damping D is set to zero for all generators, as should be the case when using sub-transient generator models. Details about the implementation of the model are available in the software documentation [3]. Figure 4: Block Diagram for the Model GENSAE. The details associated with the representation of the saturation of the generators should not dramatically interfere with the results of a small-signal (linearized) analysis of the system performance. On the other hand, the proper representation of saturation is extremely important

5 for transient stability and the determination of rated and ceiling conditions (minimum and maximum generator field current and generator field voltage) for the excitation system. The assumed saturation factors S(1.) =.1 and S(1.2) =.1 essentially neglect saturation effects. 1.2.b) Excitation Systems All excitation systems are considered identical and are represented by the same dynamic model and set of parameters. It is used the PSS E simplified excitation system model SEXS [3], shown in Figure 5, with the parameters presented in Table 3. Figure 5: Block Diagram for the Model SEXS. Table 3: Dynamic Model Data for the Excitation Systems ( Model SEXS) Parameters Description Symbol Value Unit TGR block 1 transient gain T A /T B 1 TGR block 1 denominator time constant Exciter gain Exciter time constant Max. AVR outpu Min. AVR outpu T B K T E E min E max c) Power System Stabilizers This benchmark system considers power system stabilizers (PSS) in all machines except the machine connected to bus #7 (EQUIVALENT). All PSSs are derived from rotor speed deviation and have the same structure, namely two lead-lag blocks, one wash-out block, and a gain. The IEEE Std (25) model PSS1A [4] are used to represent the power system stabilizers. This model can be represented in PSS E by the IEEEST model [3]. The block diagram of the IEEEST model is shown in Figure 6 and the used parameters are given in Table 4. The output limits are set to +/ 1%, while the logic to switch off the PSS for voltages outside a normal operation range is ignored (parameters V CU and V CL set to zero). The input signal is rotor speed deviation. s pu s pu pu

6 Input Signal 2 1+A 5S +A 6S 2 (1 +A 1S +A 2 2S )(1 +A 3S +A ) 4S 1+sT 2 1+sT 1 1+sT 3 1+sT 4 L SMAX Output Limiter K S st 5 1+sT 6 V SS V S = V SS,if (V CU > V CT >V CL ) V S =, if (V CT < V CL ) V S =, if (V CT < V CU ) VOTHSG L SMIN Figure 6: Power System Stabilizer ( Model IEEEST). Table 4: Dynamic Model Data for Power System Stabilizers ( Model IEEEST) Parameters Buses Description Symbol Unit 1, 2, nd order denominator coefficient A 1 2 nd order denominator coefficient A 2 2 nd order numerator coefficient A 3 2 nd order numerator coefficient A 4 2 nd order denominator coefficient A 5 2 nd order denominator coefficient A 6 1 st lead-lag numerator time constant T 1 s st lead-lag denominator time constant T 2 s nd lead-lag numerator time constant T 3 s nd lead-lag denominator time constant T 4 s Washout block numerator time constant T 5 s 3 3 Washout block denominator time constant T 6 s 3 3 PSS gain K S pu 1 16 PSS max. output L Smax pu.1.1 PSS min. output L Smin pu Upper voltage limit for PSS operation V CU pu Lower voltage limit for PSS operation V CL pu

7 2. Comparison of results /PacDyn vs 2.1Time-domain simulation results The time-domain responses for the two perturbations simulated with and programs are compared in Sections 2.1.a) and. An acceptable matching is qualitatively appreciated between the results of both programs, for the cases with and without PSS. 2.1 a) Case A: 5 MVAr Reactor Applied to Bus #6 4 3 CaseA-noPSS - Gen # CaseA-PSSita - Gen # CaseA-allPSS - Gen # Figure 7: Output power Response of Generator #1 to a 5 MVAr Reactor Applied to Bus #6. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

8 CaseA-noPSS - Gen # CaseA-PSSita - Gen # CaseA-allPSS - Gen # Figure 8: Output power Response of Generator #2 to a 5 MVAr Reactor Applied to Bus #6. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

9 CaseA-noPSS - Gen # CaseA-PSSita - Gen # CaseA-allPSS - Gen #3 Figure 9: Output power Response of Generator #3 to a 5 MVAr Reactor Applied to Bus #6. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

10 1 5 CaseA-noPSS - Gen # CaseA-PSSita - Gen # CaseA-allPSS - Gen # Figure 1: Output power Response of Generator #4 to a 5 MVAr Reactor Applied to Bus #6. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

11 CaseA-noPSS - Gen # CaseA-PSSita - Gen # CaseA-allPSS - Gen # Figure 11: Output power Response of Generator #7 to a 5 MVAr Reactor Applied to Bus #6. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

12 2.1.b) Case B: Step applied to the AVR reference of Generator # CaseB-noPSS - Gen # CaseB-PSSita - Gen # CaseB-allPSS - Gen # Figure 12: Output power response of Generator #1 to step applied to the AVR reference of Generator #4. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

13 CaseB-noPSS - Gen # CaseB-PSSita - Gen # CaseB-allPSS - Gen # Figure 13: Output power response of Generator #2 to step applied to the AVR reference of Generator #4. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

14 CaseB-noPSS - Gen # CaseB-PSSita - Gen # CaseB-allPSS - Gen # Figure 14: Output power response of Generator #3 to step applied to the AVR reference of Generator #4. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

15 CaseB-noPSS - Gen # CaseB-PSSita - Gen # CaseB-allPSS - Gen # Figure15: Output power response of Generator #4 to step applied to the AVR reference of Generator #4. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

16 -15-2 CaseB-noPSS - Gen # CaseB-PSSita - Gen # CaseB-allPSS - Gen # Figure 16: Output power response of Generator #7 to step applied to the AVR reference of Generator #4. Top: no PSS; Center: PSS at Itaipu; Bottom: PSS at all generators.

17 2.2 Eigenanalysis 2.2.a) PacDyn vs PSSPLT Comparison This section provides the system eigenvalues calculated with both software for the cases with no PSS, with PSS at generator #4 only, and with PSS at all generators. In the first case, good matching is observed for the electromechanical modes. In the last two cases (with PSS), the results obtained with PSSPLT highly depend on the processed signal. System with no PSS Imag (rad/s) a) Imag (rad/s) b) Real (1/s) Real (1/s) Figure 17: Eigenvalues Calculated with PSS E Program PSSPLT and PacDyn for the system with no PSS. a) Complete set of eigenvalues; b) Enlarged view in the region of the electromechanical modes. System with PSS at generator #4 5 a) 15 b) 4 1 Imag (rad/s) 3 2 Imag (rad/s) Real (1/s) Real (1/s) Figure 18: Eigenvalues Calculated with PSS E Program PSSPLT and PacDyn for the system with PSS at generator #4 (Itaipu). results from Table 11 (Itaipu active power). a) Complete set of eigenvalues; b) Enlarged view in the region of the electromechanical modes.

18 5 a) 15 b) 4 1 Imag (rad/s) 3 2 Imag (rad/s) Real (1/s) Figure 19: Eigenvalues Calculated with PSS E Program PSSPLT and PacDyn for the system with PSS at generator #4 (Itaipu). results from Table 12 (Santiago active power). a) Complete set of eigenvalues; b) Enlarged view in the region of the electromechanical modes. System with PSS at all generators Real (1/s) 5 a) 15 b) 4 1 Imag (rad/s) 3 2 Imag (rad/s) Real (1/s) Real (1/s) Figure 2: Eigenvalues Calculated with PSS E Program PSSPLT and PacDyn for the system with PSS at all generators. results from Table 13 (Itaipu active power). a) Complete set of eigenvalues; b) Enlarged view in the region of the electromechanical modes. 6 5 a) 15 b) 4 1 Imag (rad/s) 3 2 Imag (rad/s) Real (1/s) Real (1/s) Figure 21: Eigenvalues Calculated with PSS E Program PSSPLT and PacDyn for the system with PSS at all generators. results from

19 (Santiago active power). a) Complete set of eigenvalues; b) Enlarged view in the region of the electromechanical modes.

20 2.2.b) PacDyn Results Table 5: Eigenvalues Calculated with PacDyn for the system without PSS # Real Imaginary Module Freq. (Hz) Damp(%) Part. Factor DELT S Santiago # DELT FOZ AREIA # WW S Segredo # EQ' S Segredo # WW EQUIV SE # EQ' EQUIV SE # EQ'' ITAIPU # ED'' S Santiago # E DELT EQUIV SE # ED'' S Segredo # EQ'' S Santiago # EQ'' FOZ AREIA # EQ'' S Segredo # x 5 AVR-G7 # x 5 AVR-G4 # x 5 AVR-G3 # ED'' FOZ AREIA # ED'' EQUIV SE # EQ' EQUIV SE # EQ' S Santiago # EQ' S Segredo # E

21 Table 6: Eigenvalues Calculated with PacDyn for the system with PSS at generator #4 (Itaipu) # Real Imaginary Module Freq. (Hz) Damp(%) Part. Factor WW ITAIPU # WW S Santiago # DELT FOZ AREIA # WW EQUIV SE # EQ' S Segredo # DELT ITAIPU # ED'' EQUIV SE # ED'' S Santiago # E E DELT ITAIPU # ED'' S Segredo # EQ' ITAIPU # EQ'' S Santiago # EQ'' FOZ AREIA # EQ'' S Segredo # EQ' ITAIPU # x 5 AVR-G7 # x 5 AVR-G3 # ED'' FOZ AREIA # ED'' ITAIPU # EQ' ITAIPU # EQ' ITAIPU # EQ' S Santiago # x 8 PSSDW # EQ' S Segredo # x 3 PSSDW # E E

22 Table 7: Eigenvalues Calculated with PacDyn for the system with PSS at generators #1, #2, #3 and #4. # Real Imaginary Module Freq. (Hz) Damp(%) Part. Factor WW S Santiago # WW ITAIPU # WW S Segredo # EQ'' S Santiago # WW FOZ AREIA # 1 x 5 AVR-G3 # WW EQUIV SE # DELT ITAIPU # x 5 PSSDW # ED'' EQUIV SE # ED'' FOZ AREIA # DELT FOZ AREIA # DELT FOZ AREIA # x 5 PSSDW 11 # x 5 PSSDW 11 # ED'' S Segredo # EQ' ITAIPU # ED'' S Santiago # EQ' ITAIPU # ED'' S Santiago # x 5 AVR-G7 7 # ED'' ITAIPU # EQ' FOZ AREIA # EQ' ITAIPU # EQ' ITAIPU # x 8 PSSDW 11 # x 8 PSSDW 33 # x 8 PSSDW # x 8 PSSDW 33 # EQ' S Segredo # x 3 PSSDW # x 3 PSSDW 22 # x 3 PSSDW # DELT FOZ AREIA #

23 2.2.c) Results PSS E auxiliary program PSSPLT 1 can estimate the dominant modes of a system by decomposing its oscillatory response. The following tables show the results using the Least Square decomposition method applied separately to time-domain responses of the speeds of machines #2 and #4. Table 8 shows the original JCITA system eigenvalues. It can be seen that there is a complex pair with positive real part which characterizes an unstable mode. Erro! Fonte de referência não encontrada. and Erro! Fonte de referência não encontrada. show the system with PSS at the Itaipu Generator (#4), where the poor damping achieved is characterized. Erro! Fonte de referência não encontrada. and Erro! Fonte de referência não encontrada. show the system eigenvalues with PSSs in all machines (except the equivalent generator #7). No PSS Table 8: Eigenvalues Calculated with PSS E Program PSSPLT for the system without PSS. PTI INTERACTIVE POWER SYSTEM SIMULATOR-- SUN, NOV :38 IEEE BENCHMARK SYSTEM BRAZILIAN 7-BUS EQUIVALENT SYSTEM EIGENVALUES: NO. REAL IMAG DAMP FREQ E E E E E E E E-2 1 Provided as part of the PSS E installation, for users with the proper license. Consult the software vendor if you are not sure about your license.

24 Table 9: Eigenvalues Calculated with PSS E Program PSSPLT for the system without PSS. Results obtained processing generator #4 speed. CHANNEL FILE: run_fault_bus_6_rea_5_pss_none.out IEEE BENCHMARK SYSTEM BRAZILIAN 7-BUS EQUIVALENT SYSTEM CHANNEL: CHNL# 34: [SPD 4[ITAIPU 765.]1] TIME INTERVAL: SEC. MODAL COMPONENTS COMP. EIGENVALUE EIGENVECTOR NO REAL IMAGINARY MAGNITUDE ANGLE REMARKS E FREQ.:.866 HZ E-5 -- TCNST:.46 SC E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ. PERC. ERROR: SIGNAL/NOISE: 34.7 METHODS: EIGENVALUE - LEAST SQUARE, EIGENVECTOR - LEAST SQUARE ORDER: 3 Table 1: Eigenvalues Calculated with PSS E Program PSSPLT for the system without PSS. Results obtained processing generator #2 speed. CHANNEL FILE: run_fault_bus_6_rea_5_pss_none.out IEEE BENCHMARK SYSTEM BRAZILIAN 7-BUS EQUIVALENT SYSTEM CHANNEL: CHNL# 32: [SPD 2[S. SANTIAGO 5.]1] TIME INTERVAL: SEC. MODAL COMPONENTS COMP. EIGENVALUE EIGENVECTOR NO REAL IMAGINARY MAGNITUDE ANGLE REMARKS E-5 -- TCNST:.368 SC E FREQ.:.872 HZ E FREQ.: 1.61 HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ. PERC. ERROR: 3.64 SIGNAL/NOISE: 27.1 METHODS: EIGENVALUE - LEAST SQUARE, EIGENVECTOR - LEAST SQUARE ORDER: 27

25 PSS at Itaipu Table 11: Eigenvalues Calculated with PSS E Program PSSPLT for the system with PSS at generator #4. Results obtained processing generator #4 speed. NUMBER OF SELECTED DATA POINTS IS 86 AND TIME STEP IS.8 SELECT AN NPLT OF 8 TO REDUCE THE NUMBER OF POINTS TO ABOUT 1 EFFECTIVE NUMBER OF DATA POINTS IS 286 AND EFFECTIVE TIME STEP IS.25 CHANNEL FILE: run_fault_bus_6_rea_5_pss_ita.out IEEE BENCHMARK SYSTEM BRAZILIAN 7-BUS EQUIVALENT SYSTEM CHANNEL: CHNL# 34: [SPD 4[ITAIPU 765.]1] TIME INTERVAL: SEC. MODAL COMPONENTS COMP. EIGENVALUE EIGENVECTOR NO REAL IMAGINARY MAGNITUDE ANGLE REMARKS E FREQ.:.618 HZ E E FREQ.:.929 HZ E E-6 -- TCNST: SC E FREQ.: 2.26 HZ E-7 -- TCNST:.8 SC E FREQ.: HZ E FREQ.: HZ E FREQ.: 5.14 HZ E FREQ.: 4.27 HZ E FREQ.: HZ E FREQ.: 7.66 HZ E FREQ.: 9.2 HZ. PERC. ERROR: SIGNAL/NOISE: METHODS: EIGENVALUE - LEAST SQUARE, EIGENVECTOR - LEAST SQUARE ORDER: 42

26 Table 12: Eigenvalues Calculated with PSS E Program PSSPLT for the system with PSS at generator #4. Results obtained processing generator #2 speed. NUMBER OF SELECTED DATA POINTS IS 967 AND TIME STEP IS.8 SELECT AN NPLT OF 9 TO REDUCE THE NUMBER OF POINTS TO ABOUT 1 EFFECTIVE NUMBER OF DATA POINTS IS 322 AND EFFECTIVE TIME STEP IS.25 CHANNEL FILE: run_fault_bus_6_rea_5_pss_ita.out IEEE BENCHMARK SYSTEM BRAZILIAN 7-BUS EQUIVALENT SYSTEM CHANNEL: CHNL# 32: [SPD 2[S. SANTIAGO 5.]1] TIME INTERVAL: SEC. MODAL COMPONENTS COMP. EIGENVALUE EIGENVECTOR NO REAL IMAGINARY MAGNITUDE ANGLE REMARKS E E FREQ.:.928 HZ E FREQ.:.613 HZ E FREQ.: 1.51 HZ E FREQ.: 2.27 HZ E-6 -- TCNST: SC E FREQ.: 7.99 HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: 9.99 HZ E FREQ.: 4.23 HZ. PERC. ERROR: SIGNAL/NOISE: METHODS: EIGENVALUE - LEAST SQUARE, EIGENVECTOR - LEAST SQUARE ORDER: 41

27 PSS at All Machines Table 13: Eigenvalues Calculated with PSS E Program PSSPLT for the system with PSS at generator1 #1, #2, #3 and #4. Results obtained processing generator #4 speed. NUMBER OF SELECTED DATA POINTS IS 693 AND TIME STEP IS.8 SELECT AN NPLT OF 6 TO REDUCE THE NUMBER OF POINTS TO ABOUT 1 EFFECTIVE NUMBER OF DATA POINTS IS 231 AND EFFECTIVE TIME STEP IS.25 CHANNEL FILE: run_fault_bus_6_rea_5_pss_all.out IEEE BENCHMARK SYSTEM BRAZILIAN 7-BUS EQUIVALENT SYSTEM CHANNEL: CHNL# 34: [SPD 4[ITAIPU 765.]1] TIME INTERVAL: SEC. MODAL COMPONENTS COMP. EIGENVALUE EIGENVECTOR NO REAL IMAGINARY MAGNITUDE ANGLE REMARKS E FREQ.:.778 HZ E FREQ.:.544 HZ E FREQ.: HZ E E-6 -- TCNST: SC E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: 9.5 HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ. PERC. ERROR:.8675 SIGNAL/NOISE: METHODS: EIGENVALUE - LEAST SQUARE, EIGENVECTOR - LEAST SQUARE ORDER: 43

28 Table 14: Eigenvalues Calculated with PSS E Program PSSPLT for the system with PSS at generator1 #1, #2, #3 and #4. Results obtained processing generator #2 speed. NUMBER OF SELECTED DATA POINTS IS 783 AND TIME STEP IS.8 SELECT AN NPLT OF 7 TO REDUCE THE NUMBER OF POINTS TO ABOUT 1 EFFECTIVE NUMBER OF DATA POINTS IS 261 AND EFFECTIVE TIME STEP IS.25 CHANNEL FILE: run_fault_bus_6_rea_5_pss_all.out IEEE BENCHMARK SYSTEM BRAZILIAN 7-BUS EQUIVALENT SYSTEM CHANNEL: CHNL# 32: [SPD 2[S. SANTIAGO 5.]1] TIME INTERVAL: SEC. MODAL COMPONENTS COMP. EIGENVALUE EIGENVECTOR NO REAL IMAGINARY MAGNITUDE ANGLE REMARKS E FREQ.:.769 HZ E-5 -- TCNST:.294 SC E-5 -- TCNST:.7 SC E FREQ.: 1.53 HZ E-6 -- TCNST: 5.49 SC E FREQ.: HZ E FREQ.: 6.92 HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ E FREQ.: HZ. PERC. ERROR: 4.59 SIGNAL/NOISE: METHODS: EIGENVALUE - LEAST SQUARE, EIGENVECTOR - LEAST SQUARE ORDER: 42

29 References [1] MARTINS, Nelson; LIMA, L. T. G. Eigenvalue and Frequency Domain Analysis of Small-Signal Electromechanical Stability Problems, IEEE Symposium on Application of Eigenanalysis and Frequency Domain Method for System Dynamic Performance, 1989,.p [2] CEPEL, Users Manual V1.4.6 (in Portuguese), March 212. [3] Siemens PTI, 32. Online Documentation, June 29. [4] IEEE Recommended Practice for Excitation System Models for Power System Stability Studies, IEEE Standard 421.5(25), April 26.

Aug 2015 PES-TR18. Benchmark Systems for Small-Signal Stability Analysis and Control. IEEE Power & Energy Society TECHNICAL REPORT

Aug 2015 PES-TR18. Benchmark Systems for Small-Signal Stability Analysis and Control. IEEE Power & Energy Society TECHNICAL REPORT IEEE Power & Energy Society Aug 25 TECHNICAL REPORT PES-TR8 Benchmark Systems for Small-Signal Stability Analysis and Control PREPARED BY THE Power System Dynamic Performance Committee Power System Stability

More information

IEEE PES Task Force on Benchmark Systems for Stability Controls

IEEE PES Task Force on Benchmark Systems for Stability Controls IEEE PES Task Force on Benchmark Systems for Stability Controls Report on the 68-bus system (New England / New York Test System) Version 4.0 - June 20 th, 2014 Rodrigo A. Ramos, Roman Kuiava, Tatiane C.

More information

AMONG POWER SYSTEM CONTROLS IMPACT OF INTERACTIONS EPRI/NSF WORKSHOP PLAYACAR, APRIL 2002 GLOBAL DYNAMIC OPTIMISATION OF THE ELECTRIC POWER GRID

AMONG POWER SYSTEM CONTROLS IMPACT OF INTERACTIONS EPRI/NSF WORKSHOP PLAYACAR, APRIL 2002 GLOBAL DYNAMIC OPTIMISATION OF THE ELECTRIC POWER GRID EPRI/NSF WORKSHOP PLAYACAR, APRIL 00 GLOBAL DYNAMIC OPTIMISATION OF THE ELECTRIC POWER GRID IMPACT OF INTERACTIONS AMONG POWER SYSTEM CONTROLS NELSON MARTINS JULIO C.R. FERRAZ, SERGIO GOMES JR. CEPEL COPPE/UFRJ

More information

ECE 585 Power System Stability

ECE 585 Power System Stability Homework 1, Due on January 29 ECE 585 Power System Stability Consider the power system below. The network frequency is 60 Hz. At the pre-fault steady state (a) the power generated by the machine is 400

More information

CHAPTER 3 SYSTEM MODELLING

CHAPTER 3 SYSTEM MODELLING 32 CHAPTER 3 SYSTEM MODELLING 3.1 INTRODUCTION Models for power system components have to be selected according to the purpose of the system study, and hence, one must be aware of what models in terms

More information

IV SEPOPE IV SIMPOSIUM OF SPECIALISTS IN ELECTRIC OPERATIONAL AND EXPANSION PLANNING Foz do Iguaçu May, 1994

IV SEPOPE IV SIMPOSIUM OF SPECIALISTS IN ELECTRIC OPERATIONAL AND EXPANSION PLANNING Foz do Iguaçu May, 1994 IV SEPOPE IV SIMPOSIUM OF SPECIALISTS IN ELECTRIC OPERATIONAL AND EPANSION PLANNING Foz do Iguaçu May, 1994 TCSC CONTROL STRUCTURES FOR LINE POWER SCHEDULING AND METHODS TO DETERMINE THEIR LOCATION AND

More information

Using a TCSC for Line Power Scheduling and System Oscillation Damping Small Signal and Transient Stability Studies

Using a TCSC for Line Power Scheduling and System Oscillation Damping Small Signal and Transient Stability Studies Using a TCSC for Line Power Scheduling and System Oscillation Damping Small Signal and Transient Stability Studies Nelson Martins - CEPEL Herminio Pinto - CEPEL John J. Paserba - Mitsubishi Electric Products,

More information

The Effects of Machine Components on Bifurcation and Chaos as Applied to Multimachine System

The Effects of Machine Components on Bifurcation and Chaos as Applied to Multimachine System 1 The Effects of Machine Components on Bifurcation and Chaos as Applied to Multimachine System M. M. Alomari and B. S. Rodanski University of Technology, Sydney (UTS) P.O. Box 123, Broadway NSW 2007, Australia

More information

Determination of stability limits - Angle stability -

Determination of stability limits - Angle stability - Workshop Increased Utilisation of the Nordic Power Transmission System NTNU/SINTEF 30-31. October 2002 Determination of stability limits Magni Þ. Pálsson AS Trondheim 1 Contents Definitions and descriptions

More information

IEEE PES Task Force on Benchmark Systems for Stability Controls

IEEE PES Task Force on Benchmark Systems for Stability Controls IEEE PES Task Force on Benchmark Systems for Stability Controls Ian Hiskens November 9, 3 Abstract This report summarizes a study of an IEEE -generator, 39-bus system. Three types of analysis were performed:

More information

Power System Stability GENERATOR CONTROL AND PROTECTION

Power System Stability GENERATOR CONTROL AND PROTECTION Power System Stability Outline Basis for Steady-State Stability Transient Stability Effect of Excitation System on Stability Small Signal Stability Power System Stabilizers Speed Based Integral of Accelerating

More information

Power System Linear Modeling. Application for Small Signal Stability Analysis

Power System Linear Modeling. Application for Small Signal Stability Analysis Power System Linear Modeling. Application for Small Signal Stability Analysis Carlos E. Biteznik, Jorge L. Agüero y Mario C. Beroqui Instituto de Investigaciones Tecnológicas para Redes y Equipos Eléctricos

More information

QFT Framework for Robust Tuning of Power System Stabilizers

QFT Framework for Robust Tuning of Power System Stabilizers 45-E-PSS-75 QFT Framework for Robust Tuning of Power System Stabilizers Seyyed Mohammad Mahdi Alavi, Roozbeh Izadi-Zamanabadi Department of Control Engineering, Aalborg University, Denmark Correspondence

More information

APPLICATIONS OF CONTROLLABLE SERIES CAPACITORS FOR DAMPING OF POWER SWINGS *

APPLICATIONS OF CONTROLLABLE SERIES CAPACITORS FOR DAMPING OF POWER SWINGS * APPLICATIONS OF CONTROLLABLE SERIES CAPACITORS FOR DAPING OF POWER SWINGS *. Noroozian P. Halvarsson Reactive Power Compensation Division ABB Power Systems S-7 64 Västerås, Sweden Abstract This paper examines

More information

Oscillation energy based sensitivity analysis and control for multi-mode oscillation systems

Oscillation energy based sensitivity analysis and control for multi-mode oscillation systems Oscillation energy based sensitivity analysis and control for multi-mode oscillation systems Horacio Silva-Saravia, Yajun Wang, Héctor Pulgar-Painemal, Kevin Tomsovic Department of Electrical Engineering

More information

Comparative Study of Synchronous Machine, Model 1.0 and Model 1.1 in Transient Stability Studies with and without PSS

Comparative Study of Synchronous Machine, Model 1.0 and Model 1.1 in Transient Stability Studies with and without PSS Comparative Study of Synchronous Machine, Model 1.0 and Model 1.1 in Transient Stability Studies with and without PSS Abhijit N Morab, Abhishek P Jinde, Jayakrishna Narra, Omkar Kokane Guide: Kiran R Patil

More information

ECEN 667 Power System Stability Lecture 20: Oscillations, Small Signal Stability Analysis

ECEN 667 Power System Stability Lecture 20: Oscillations, Small Signal Stability Analysis ECEN 667 Power System Stability Lecture 20: Oscillations, Small Signal Stability Analysis Prof. Tom Overbye Dept. of Electrical and Computer Engineering Texas A&M University, overbye@tamu.edu 1 Announcements

More information

DEVELOPMENTS IN STABILITY

DEVELOPMENTS IN STABILITY Panel Session on Recent Applications of Linear Analysis Techniques SOME RECENT DEVELOPMENTS IN SMALL-SIGNAL STABILITY AND CONTROL NELSON MARTINS 1 SERGIO GOMES JR 1 JULIO CR FERRAZ 1,3 SERGIO L VARRICCHIO

More information

Unified Power Flow Controller (UPFC) Based Damping Controllers for Damping Low Frequency Oscillations in a Power System

Unified Power Flow Controller (UPFC) Based Damping Controllers for Damping Low Frequency Oscillations in a Power System Unified Power Flow Controller (UPFC) Based Damping Controllers for Damping Low Frequency Oscillations in a Power System (Ms) N Tambey, Non-member Prof M L Kothari, Member This paper presents a systematic

More information

Minimax Approximation Synthesis in PSS Design by Embedding

Minimax Approximation Synthesis in PSS Design by Embedding Minimax Approximation Synthesis in PSS Design by Embedding Gravitational Search Algorithm Dr. Akash Saxena Department of Electrical Engineering Swami Keshvanand Institute of Technology Jaipur, India Power

More information

Chapter 3 AUTOMATIC VOLTAGE CONTROL

Chapter 3 AUTOMATIC VOLTAGE CONTROL Chapter 3 AUTOMATIC VOLTAGE CONTROL . INTRODUCTION TO EXCITATION SYSTEM The basic function of an excitation system is to provide direct current to the field winding of the synchronous generator. The excitation

More information

Delayed Feedback Controller for Stabilizing Subsynchronous Oscillations in Power Systems

Delayed Feedback Controller for Stabilizing Subsynchronous Oscillations in Power Systems Delayed Feedback Controller for Stabilizing Subsynchronous Oscillations in Power Systems Yaar Küçükefe 1 and Adnan Kaypmaz 2 1 National Power Enerji, Tekirda, Turkey yasar.kucukefe@ieee.org 2 stanbul Technical

More information

CURENT Course Power System Coherency and Model Reduction

CURENT Course Power System Coherency and Model Reduction CURENT Course Power System Coherency and Model Reduction Prof. Joe H. Chow Rensselaer Polytechnic Institute ECSE Department November 1, 2017 Slow Coherency A large power system usually consists of tightly

More information

1 Unified Power Flow Controller (UPFC)

1 Unified Power Flow Controller (UPFC) Power flow control with UPFC Rusejla Sadikovic Internal report 1 Unified Power Flow Controller (UPFC) The UPFC can provide simultaneous control of all basic power system parameters ( transmission voltage,

More information

CHAPTER 2 DYNAMIC STABILITY MODEL OF THE POWER SYSTEM

CHAPTER 2 DYNAMIC STABILITY MODEL OF THE POWER SYSTEM 20 CHAPTER 2 DYNAMIC STABILITY MODEL OF THE POWER SYSTEM 2. GENERAL Dynamic stability of a power system is concerned with the dynamic behavior of the system under small perturbations around an operating

More information

DYNAMIC RESPONSE OF A GROUP OF SYNCHRONOUS GENERATORS FOLLOWING DISTURBANCES IN DISTRIBUTION GRID

DYNAMIC RESPONSE OF A GROUP OF SYNCHRONOUS GENERATORS FOLLOWING DISTURBANCES IN DISTRIBUTION GRID Engineering Review Vol. 36 Issue 2 8-86 206. 8 DYNAMIC RESPONSE OF A GROUP OF SYNCHRONOUS GENERATORS FOLLOWING DISTURBANCES IN DISTRIBUTION GRID Samir Avdaković * Alija Jusić 2 BiH Electrical Utility Company

More information

Testing and Model Validation of Cumberland Power Plant

Testing and Model Validation of Cumberland Power Plant Testing and Model Validation of Cumberland Power Plant Leonardo T. G. Lima, James W. Feltes and F. P. de Mello Siemens Power Transmission & Distribution, Inc. Cumberland Unit 1 Original analog UNITROL

More information

STABILITY ANALYSIS OF HVDC CONTROL LOOPS

STABILITY ANALYSIS OF HVDC CONTROL LOOPS STABILITY ANALYSIS OF HVDC CONTROL LOOPS Dragan Jovcic Nalin Pahalawaththa Mohamed Zavahir University of Auckland University of Auckland Trans Power NZ Ltd address for correspondence: Dragan Jovcic Electrical

More information

DESIGN OF POWER SYSTEM STABILIZER USING FUZZY BASED SLIDING MODE CONTROL TECHNIQUE

DESIGN OF POWER SYSTEM STABILIZER USING FUZZY BASED SLIDING MODE CONTROL TECHNIQUE DESIGN OF POWER SYSTEM STABILIZER USING FUZZY BASED SLIDING MODE CONTROL TECHNIQUE LATHA.R Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Coimbatore, 641004,

More information

Self-Tuning Control for Synchronous Machine Stabilization

Self-Tuning Control for Synchronous Machine Stabilization http://dx.doi.org/.5755/j.eee.2.4.2773 ELEKTRONIKA IR ELEKTROTECHNIKA, ISSN 392-25, VOL. 2, NO. 4, 25 Self-Tuning Control for Synchronous Machine Stabilization Jozef Ritonja Faculty of Electrical Engineering

More information

Dynamic simulation of a five-bus system

Dynamic simulation of a five-bus system ELEC0047 - Power system dynamics, control and stability Dynamic simulation of a five-bus system Thierry Van Cutsem t.vancutsem@ulg.ac.be www.montefiore.ulg.ac.be/~vct November 2017 1 / 16 System modelling

More information

DAMPING OF SUBSYNCHRONOUS MODES OF OSCILLATIONS

DAMPING OF SUBSYNCHRONOUS MODES OF OSCILLATIONS Journal of Engineering Science and Technology Vol. 1, No. 1 (26) 76-88 School of Engineering, Taylor s College DAMPING OF SUBSYNCHRONOUS MODES OF OSCILLATIONS JAGADEESH PASUPULETI School of Engineering,

More information

Prediction of Instability Points Using System Identification

Prediction of Instability Points Using System Identification Prediction of Instability Points Using System Identification Hassan Ghasemi laudio A. añizares John Reeve hassan@thunderbox.uwaterloo.ca ccanizar@engmail.uwaterloo.ca J.Reeve@ece.uwaterloo.ca Department

More information

IEEE PES Task Force on Benchmark Systems for Stability Controls Report on the 68-Bus, 16-Machine, 5-Area System

IEEE PES Task Force on Benchmark Systems for Stability Controls Report on the 68-Bus, 16-Machine, 5-Area System IEEE PES Task Force on Benchmark Systems for Stability Controls Report on the 68-Bus, 16-Machine, 5-Area System Version 3.3-3 rd Dec, 2013 Abhinav Kumar Singh; and Bikash C. Pal The present report refers

More information

Predicting, controlling and damping inter-area mode oscillations in Power Systems including Wind Parks

Predicting, controlling and damping inter-area mode oscillations in Power Systems including Wind Parks 3rd IASME/WSEAS Int. Conf. on Energy & Environment, University of Cambridge, UK, February 3-5, 008 Predicting, controlling and damping inter-area mode oscillations in Power Systems including Wind Parks

More information

ANALYSIS OF SUBSYNCHRONOUS RESONANCE EFFECT IN SERIES COMPENSATED LINE WITH BOOSTER TRANSFORMER

ANALYSIS OF SUBSYNCHRONOUS RESONANCE EFFECT IN SERIES COMPENSATED LINE WITH BOOSTER TRANSFORMER ANALYSIS OF SUBSYNCHRONOUS RESONANCE EFFECT IN SERIES COMPENSATED LINE WITH BOOSTER TRANSFORMER G.V.RAJASEKHAR, 2 GVSSNS SARMA,2 Department of Electrical Engineering, Aurora Engineering College, Hyderabad,

More information

ELECTROMECHANICAL oscillations have been observed

ELECTROMECHANICAL oscillations have been observed 1 Comparison of PSS, SVC and STATCOM Controllers for Damping Power System Oscillations N. Mithulananthan, Student Member, IEEE, Claudio A. Cañizares, Senior Member, IEEE, John Reeve, Fellow, IEEE, and

More information

FLEXIBLE ac transmission system (FACTS) devices give

FLEXIBLE ac transmission system (FACTS) devices give 694 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 19, NO. 2, APRIL 2004 A Newton-Type Current Injection Model of UPFC for Studying Low-Frequency Oscillations Kwang M. Son, Member, IEEE, and Robert H. Lasseter,

More information

Artificial immune system based algorithms for optimization and self-tuning control in power systems

Artificial immune system based algorithms for optimization and self-tuning control in power systems Scholars' Mine Masters Theses Student Research & Creative Works 007 Artificial immune system based algorithms for optimization and self-tuning control in power systems Mani Hunjan Follow this and additional

More information

MITIGATION OF POWER SYSTEM SMALL SIGNAL OSCILLATION USING POSICAST CONTROLLER AND EVOLUTIONARY PROGRAMMING

MITIGATION OF POWER SYSTEM SMALL SIGNAL OSCILLATION USING POSICAST CONTROLLER AND EVOLUTIONARY PROGRAMMING Journal of Engineering Science and Technology Special Issue on Applied Engineering and Sciences, October (2014) 39-50 School of Engineering, Taylor s University MITIGATION OF POWER SYSTEM SMALL SIGNAL

More information

Coordinated Design of Power System Stabilizers and Static VAR Compensators in a Multimachine Power System using Genetic Algorithms

Coordinated Design of Power System Stabilizers and Static VAR Compensators in a Multimachine Power System using Genetic Algorithms Helwan University From the SelectedWorks of Omar H. Abdalla May, 2008 Coordinated Design of Power System Stabilizers and Static VAR Compensators in a Multimachine Power System using Genetic Algorithms

More information

DESIGN OF A HIERARCHICAL FUZZY LOGIC PSS FOR A MULTI-MACHINE POWER SYSTEM

DESIGN OF A HIERARCHICAL FUZZY LOGIC PSS FOR A MULTI-MACHINE POWER SYSTEM Proceedings of the 5th Mediterranean Conference on Control & Automation, July 27-29, 27, Athens - Greece T26-6 DESIGN OF A HIERARCHICAL FUY LOGIC PSS FOR A MULTI-MACHINE POWER SYSTEM T. Hussein, A. L.

More information

Research Paper ANALYSIS OF POWER SYSTEM STABILITY FOR MULTIMACHINE SYSTEM D. Sabapathi a and Dr. R. Anita b

Research Paper ANALYSIS OF POWER SYSTEM STABILITY FOR MULTIMACHINE SYSTEM D. Sabapathi a and Dr. R. Anita b Research Paper ANALYSIS OF POWER SYSTEM STABILITY FOR MULTIMACHINE SYSTEM D. Sabapathi a and Dr. R. Anita b Address for Correspondence a Research Scholar, Department of Electrical & Electronics Engineering,

More information

In these notes, we will address (2) and then return to (1) in the next class.

In these notes, we will address (2) and then return to (1) in the next class. Linearized Analysis of the Synchronous Machine for PSS Chapter 6 does two basic things:. Shows how to linearize the 7-state model (model #2, IEEE #2., called full model without G-cct. ) of a synchronous

More information

Extension of the Complex Torque Coefficient Method for Synchronous Generators to Auxiliary Devices in Electrical Networks

Extension of the Complex Torque Coefficient Method for Synchronous Generators to Auxiliary Devices in Electrical Networks Extension of the Complex Torque Coefficient Method for Synchronous Generators to Auxiliary Devices in Dr. SWISS FEDERAL INSTITUTE OF TECHNOLOGY Electrical Engineering Department, Laboratory of Electromechanics

More information

Transient Stability Analysis with PowerWorld Simulator

Transient Stability Analysis with PowerWorld Simulator Transient Stability Analysis with PowerWorld Simulator T11: Single Machine Infinite Bus Modeling (SMIB) 21 South First Street Champaign, Illinois 6182 +1 (217) 384.633 support@powerworld.com http://www.powerworld.com

More information

Aldi Mucka Tonin Dodani Marjela Qemali Rajmonda Bualoti Polytechnic University of Tirana, Faculty of Electric Engineering, Republic of Albania

Aldi Mucka Tonin Dodani Marjela Qemali Rajmonda Bualoti Polytechnic University of Tirana, Faculty of Electric Engineering, Republic of Albania 8. СОВЕТУВАЊЕ Охрид, 22 24 септември Aldi Mucka Tonin Dodani Marjela Qemali Rajmonda Bualoti Polytechnic University of Tirana, Faculty of Electric Engineering, Republic of Albania REHABILITATIONS OF EXCITATION

More information

Control Lyapunov Functions for Controllable Series Devices

Control Lyapunov Functions for Controllable Series Devices IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 4, NOVEMBER 2001 689 Control Lyapunov Functions for Controllable Series Devices Mehrdad Ghandhari, Member, IEEE, Göran Andersson, Fellow, IEEE, and Ian

More information

POWER SYSTEM STABILIZER CONTROL FOR WIND POWER TO ENHANCE POWER SYSTEM STABILITY

POWER SYSTEM STABILIZER CONTROL FOR WIND POWER TO ENHANCE POWER SYSTEM STABILITY PHYSCON 2011, León, Spain, September, 5 September, 8 2011 POWER SYSTEM STABILIZER CONTROL FOR WIND POWER TO ENHANCE POWER SYSTEM STABILITY José Luis Domínguez-García Electrical Engineering Area IREC Spain

More information

Power Grid Partitioning: Static and Dynamic Approaches

Power Grid Partitioning: Static and Dynamic Approaches Power Grid Partitioning: Static and Dynamic Approaches Miao Zhang, Zhixin Miao, Lingling Fan Department of Electrical Engineering University of South Florida Tampa FL 3320 miaozhang@mail.usf.edu zmiao,

More information

SIMPLIFIED 14-GENERATOR MODEL OF THE SE AUSTRALIAN POWER SYSTEM

SIMPLIFIED 14-GENERATOR MODEL OF THE SE AUSTRALIAN POWER SYSTEM SIMPLIFIED -GENERATOR MODEL OF THE SE AUSTRALIAN POWER SYSTEM Mike Gibbard & David Vowles School of Electrical & Electronic Engineering The University of Adelaide, South Australia June 2 Revision REF:

More information

TCSC-Based Wide Area Damping Controller (WADC) for Inter-area oscillations in Saudi Power Network

TCSC-Based Wide Area Damping Controller (WADC) for Inter-area oscillations in Saudi Power Network -Based Wide Area Damping Controller (WADC) for Inter-area oscillations in Saudi Power Network Saleh M. Bamasak (1)(2) *, Yusuf A. Al-Turki (1), Sreerama Kumar R. (1) & Malek M. Al-Hajji (2) 1 King Abdulaziz

More information

Low Frequency Transients

Low Frequency Transients Page 1 IEEE Power Engineering Society Summer Meeting Edmonton, July 18-22, 1999 Tutorial: Power System Overvoltages Low Frequency Transients Presented by Bruce Mork Work Done by Slow Transients Task Force

More information

COMPARISON OF DAMPING PERFORMANCE OF CONVENTIONAL AND NEURO FUZZY BASED POWER SYSTEM STABILIZERS APPLIED IN MULTI MACHINE POWER SYSTEMS

COMPARISON OF DAMPING PERFORMANCE OF CONVENTIONAL AND NEURO FUZZY BASED POWER SYSTEM STABILIZERS APPLIED IN MULTI MACHINE POWER SYSTEMS Journal of ELECTRICAL ENGINEERING, VOL. 64, NO. 6, 2013, 366 370 COMPARISON OF DAMPING PERFORMANCE OF CONVENTIONAL AND NEURO FUZZY BASED POWER SYSTEM STABILIZERS APPLIED IN MULTI MACHINE POWER SYSTEMS

More information

A Study on Performance of Fuzzy And Fuzyy Model Reference Learning Pss In Presence of Interaction Between Lfc and avr Loops

A Study on Performance of Fuzzy And Fuzyy Model Reference Learning Pss In Presence of Interaction Between Lfc and avr Loops Australian Journal of Basic and Applied Sciences, 5(2): 258-263, 20 ISSN 99-878 A Study on Performance of Fuzzy And Fuzyy Model Reference Learning Pss In Presence of Interaction Between Lfc and avr Loops

More information

Avoiding and Suppressing Oscillations

Avoiding and Suppressing Oscillations FINAL REPORT FOR PSerc PROJECT Avoiding and Suppressing Oscillations December 1999 POWER SYSTEMS ENGINEERING RESEARCH CENTER Research Team Faculty: Fernando Alvarado Chris DeMarco Ian Dobson Pete Sauer

More information

Transient Stability Analysis with PowerWorld Simulator

Transient Stability Analysis with PowerWorld Simulator Transient Stability Analysis with PowerWorld Simulator T1: Transient Stability Overview, Models and Relationships 2001 South First Street Champaign, Illinois 61820 +1 (217) 384.6330 support@powerworld.com

More information

Transient stability improvement by using PSS and increasing inertia of synchronous machine

Transient stability improvement by using PSS and increasing inertia of synchronous machine American Journal of Electrical Power and Energy Systems 2014; 3(2): 45-49 Published online April 20, 2014 (http://www.sciencepublishinggroup.com/j/epes) doi:10.11648/j.epes.20140302.15 Transient stability

More information

LOC-PSS Design for Improved Power System Stabilizer

LOC-PSS Design for Improved Power System Stabilizer Journal of pplied Dynamic Systems and Control, Vol., No., 8: 7 5 7 LOCPSS Design for Improved Power System Stabilizer Masoud Radmehr *, Mehdi Mohammadjafari, Mahmoud Reza GhadiSahebi bstract power system

More information

Excitation control for improving transient stability limit and voltage regulation with dynamic loads

Excitation control for improving transient stability limit and voltage regulation with dynamic loads Excitation control for improving transient stability limit and voltage regulation with dynamic loads M. J. Hossain, H. R. Pota, M. A. Mahmud, R. A. Ramos, SEIT, UNSW@ADFA, Canberra, ACT-2600, Australia.

More information

Energy Conversion and Management

Energy Conversion and Management Energy Conversion and Management 52 (2011) 1622 1629 Contents lists available at ScienceDirect Energy Conversion and Management journal homepage: www.elsevier.com/locate/enconman Assessment of effect of

More information

Transient Stability Assessment of Synchronous Generator in Power System with High-Penetration Photovoltaics (Part 2)

Transient Stability Assessment of Synchronous Generator in Power System with High-Penetration Photovoltaics (Part 2) Journal of Mechanics Engineering and Automation 5 (2015) 401-406 doi: 10.17265/2159-5275/2015.07.003 D DAVID PUBLISHING Transient Stability Assessment of Synchronous Generator in Power System with High-Penetration

More information

KNOWING the zeros of a transfer function is important for

KNOWING the zeros of a transfer function is important for IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 22, NO. 4, NOVEMBER 2007 1657 Computation of Transfer Function Dominant Zeros With Applications to Oscillation Damping Control of Large Power Systems Nelson Martins,

More information

SCHOOL OF ELECTRICAL, MECHANICAL AND MECHATRONIC SYSTEMS. Transient Stability LECTURE NOTES SPRING SEMESTER, 2008

SCHOOL OF ELECTRICAL, MECHANICAL AND MECHATRONIC SYSTEMS. Transient Stability LECTURE NOTES SPRING SEMESTER, 2008 SCHOOL OF ELECTRICAL, MECHANICAL AND MECHATRONIC SYSTEMS LECTURE NOTES Transient Stability SPRING SEMESTER, 008 October 7, 008 Transient Stability Transient stability refers to the ability of a synchronous

More information

Performance Of Power System Stabilizerusing Fuzzy Logic Controller

Performance Of Power System Stabilizerusing Fuzzy Logic Controller IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 9, Issue 3 Ver. I (May Jun. 2014), PP 42-49 Performance Of Power System Stabilizerusing Fuzzy

More information

DESIGNING POWER SYSTEM STABILIZER WITH PID CONTROLLER

DESIGNING POWER SYSTEM STABILIZER WITH PID CONTROLLER International Journal on Technical and Physical Problems of Engineering (IJTPE) Published by International Organization on TPE (IOTPE) ISSN 2077-3528 IJTPE Journal www.iotpe.com ijtpe@iotpe.com June 2010

More information

Modeling Capacitor Commutated Converters in Power System Stability Studies

Modeling Capacitor Commutated Converters in Power System Stability Studies IEEE/PES Summer Meeting, July 2002. Published in Transactions on Power Systems, May 2002. Modeling Capacitor Commutated Converters in Power System Stability Studies Sergio Gomes Jr. (CEPEL) Nelson Martins

More information

Micro-grid to System Synchronization Based on Pre-Insertion Impedance Method (Version 1.0) By Peter Zhou University of Alberta Jan 30 th, 2015

Micro-grid to System Synchronization Based on Pre-Insertion Impedance Method (Version 1.0) By Peter Zhou University of Alberta Jan 30 th, 2015 Micro-grid to System Synchronization Based on Pre-Insertion Impedance Method (Version 1.0) By Peter Zhou University of Alberta Jan 30 th, 2015 Outline 1. What is Synchronization? 2. Synchronization Concerns?

More information

B.E. / B.Tech. Degree Examination, April / May 2010 Sixth Semester. Electrical and Electronics Engineering. EE 1352 Power System Analysis

B.E. / B.Tech. Degree Examination, April / May 2010 Sixth Semester. Electrical and Electronics Engineering. EE 1352 Power System Analysis B.E. / B.Tech. Degree Examination, April / May 2010 Sixth Semester Electrical and Electronics Engineering EE 1352 Power System Analysis (Regulation 2008) Time: Three hours Answer all questions Part A (10

More information

Analysis of Bifurcations in a Power System Model with Excitation Limits

Analysis of Bifurcations in a Power System Model with Excitation Limits Analysis of Bifurcations in a Power System Model with Excitation Limits Rajesh G. Kavasseri and K. R. Padiyar Department of Electrical Engineering Indian Institute of Science, Bangalore, India Abstract

More information

Application of Posicast Controller on Power System Stabilizer and Its Effect on Oscillatory Stability

Application of Posicast Controller on Power System Stabilizer and Its Effect on Oscillatory Stability 76 Application of Posicast Controller on Power System Stabilizer and Its Effect on Oscillatory Stability Shojaeddin Mirfendereski 1, Noor Izzri Abdul Wahab 2, Jasronita Jasni 3 and Mohammad Lutfi Othman

More information

How to Study and Distinguish Forced Oscillations

How to Study and Distinguish Forced Oscillations 1 How to Study and Distinguish Forced Oscillations Lei CHEN PhD, Associate Professor Department of Electrical Engineering Tsinghua University chenlei08@tsinghua.edu.cn 2 Natural and Forced Oscillations

More information

Bifurcation Control for Mitigating Subsynchronous Oscillations in Power Systems

Bifurcation Control for Mitigating Subsynchronous Oscillations in Power Systems Bifurcation Control for Mitigating Subsynchronous Oscillations in Power Systems A. M. Harb A. H. Nayfeh L. Mili Bradley Department of Electrical and Computer Engineering Department of Engineering Science

More information

7. Transient stability

7. Transient stability 1 7. Transient stability In AC power system, each generator is to keep phase relationship according to the relevant power flow, i.e. for a certain reactance X, the both terminal voltages V1and V2, and

More information

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

Reading a GE PSLF *.epc into PWS. Tracy Rolstad Avista System Planning WECC PWSUG, 14 March 2012 Reading a GE PSLF *.epc into PWS Tracy Rolstad Avista System Planning WECC PWSUG, 14 March 2012 Open Case, Select What Options (these are defaults)? Start with GE Nothing

More information

SSSC Modeling and Damping Controller Design for Damping Low Frequency Oscillations

SSSC Modeling and Damping Controller Design for Damping Low Frequency Oscillations SSSC Modeling and Damping Controller Design for Damping Low Frequency Oscillations Mohammed Osman Hassan, Ahmed Khaled Al-Haj Assistant Professor, Department of Electrical Engineering, Sudan University

More information

QUESTION BANK ENGINEERS ACADEMY. Power Systems Power System Stability 1

QUESTION BANK ENGINEERS ACADEMY. Power Systems Power System Stability 1 ower ystems ower ystem tability QUETION BANK. A cylindrical rotor generator delivers 0.5 pu power in the steady-state to an infinite bus through a transmission line of reactance 0.5 pu. The generator no-load

More information

1. Introduction. Keywords Transient Stability Analysis, Power System, Swing Equation, Three-Phase Fault, Fault Clearing Time

1. 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 information

Behaviour of synchronous machine during a short-circuit (a simple example of electromagnetic transients)

Behaviour of synchronous machine during a short-circuit (a simple example of electromagnetic transients) ELEC0047 - Power system dynamics, control and stability (a simple example of electromagnetic transients) Thierry Van Cutsem t.vancutsem@ulg.ac.be www.montefiore.ulg.ac.be/~vct October 2018 1 / 25 Objectives

More information

The Operation of a Generator on Infinite Busbars

The Operation of a Generator on Infinite Busbars The Operation of a Generator on Infinite Busbars In order to simplify the ideas as much as possible the resistance of the generator will be neglected; in practice this assumption is usually reasonable.

More information

Dynamic Behavior of Three phase Inductions Motors as Loads in an Electric Power System with Distributed Generation, a Case of Study.

Dynamic Behavior of Three phase Inductions Motors as Loads in an Electric Power System with Distributed Generation, a Case of Study. Dynamic Behavior of Three phase Inductions Motors as Loads in an Electric Power System with Distributed Generation, a Case of Study. Marcelo Rodrigo García Saquicela, Ernesto Ruppert Filho, José Luis Azcue

More information

POWER SYSTEM STABILITY

POWER SYSTEM STABILITY LESSON SUMMARY-1:- POWER SYSTEM STABILITY 1. Introduction 2. Classification of Power System Stability 3. Dynamic Equation of Synchronous Machine Power system stability involves the study of the dynamics

More information

Power 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 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 information

Adaptive Fuzzy Gain of Power System Stabilizer to Improve the Global Stability

Adaptive Fuzzy Gain of Power System Stabilizer to Improve the Global Stability Bulletin of Electrical Engineering and Informatics ISSN: 2302-9285 Vol. 5, No. 4, December 2016, pp. 421~429, DOI: 10.11591/eei.v5i4.576 421 Adaptive Fuzzy Gain of Power System Stabilizer to Improve the

More information

Accounting for the Effects of Power System Controllers and Stability on Power Dispatch and Electricity Market Prices

Accounting for the Effects of Power System Controllers and Stability on Power Dispatch and Electricity Market Prices Accounting for the Effects of Power System Controllers and Stability on Power Dispatch and Electricity Market Prices by Sameh K. M. Kodsi A thesis presented to the University of Waterloo in fulfillment

More information

Time Response Analysis (Part II)

Time Response Analysis (Part II) Time Response Analysis (Part II). A critically damped, continuous-time, second order system, when sampled, will have (in Z domain) (a) A simple pole (b) Double pole on real axis (c) Double pole on imaginary

More information

EE 422G - Signals and Systems Laboratory

EE 422G - Signals and Systems Laboratory EE 4G - Signals and Systems Laboratory Lab 9 PID Control Kevin D. Donohue Department of Electrical and Computer Engineering University of Kentucky Lexington, KY 40506 April, 04 Objectives: Identify the

More information

IEEE PES Task Force on Benchmark Systems for Stability Controls

IEEE PES Task Force on Benchmark Systems for Stability Controls IEEE PES Task Force on Benchmark Systems for Stability Controls Report on the EMTP-RV 39-bus system (New England Reduced Model) Version 1.5 - Mars 04, 2015 Author: Luc Gérin-Lajoie Contributor: O. Saad,

More information

Minimization of Shaft Torsional Oscillations by Fuzzy Controlled Braking Resistor Considering Communication Delay

Minimization of Shaft Torsional Oscillations by Fuzzy Controlled Braking Resistor Considering Communication Delay Proceedings of the 7th WSEAS International Conference on Power Systems, Beijing, China, September 15-17, 2007 174 Minimization of Shaft Torsional Oscillations by Fuzzy Controlled Braking Resistor Considering

More information

Power System Stability Enhancement Using Adaptive and AI Control

Power System Stability Enhancement Using Adaptive and AI Control Power System Stability Enhancement Using Adaptive and AI Control O.P. Malik University of Calgary Calgary, Canada 1 Controller Design Requirements Selection of: System model Control signal Scaling of signals

More information

Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory

Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory Design A Robust Power System Stabilizer on SMIB Using Lyapunov Theory Yin Li, Stuent Member, IEEE, Lingling Fan, Senior Member, IEEE Abstract This paper proposes a robust power system stabilizer (PSS)

More information

Impact of Distributed Synchronous Generators on Distribution Feeder Stability

Impact of Distributed Synchronous Generators on Distribution Feeder Stability Impact of Distributed Synchronous Generators on Distribution Feeder Stability F. M. Gonzalez-Longatt, Student Member Abstract The distributed generation is rapidly becoming a reality. Some technologies

More information

Robust Tuning of Power System Stabilizers Using Coefficient Diagram Method

Robust Tuning of Power System Stabilizers Using Coefficient Diagram Method International Journal of Electrical Engineering. ISSN 0974-2158 Volume 7, Number 2 (2014), pp. 257-270 International Research Publication House http://www.irphouse.com Robust Tuning of Power System Stabilizers

More information

Power System Model Reduction. Fall 2014 CURENT Course

Power System Model Reduction. Fall 2014 CURENT Course Power System Model Reduction Fall 04 CURENT Course October 9, 04 Joe H. Chow Rensselaer Polytechnic Institute, Troy, New York, USA www.ecse.rpi.edu/homepages/chowj Model Reduction of Large Power Systems.

More information

Dynamics of the synchronous machine

Dynamics of the synchronous machine ELEC0047 - Power system dynamics, control and stability Dynamics of the synchronous machine Thierry Van Cutsem t.vancutsem@ulg.ac.be www.montefiore.ulg.ac.be/~vct October 2018 1 / 38 Time constants and

More information

STUDY OF SMALL SIGNAL STABILITY WITH STATIC SYNCHRONOUS SERIESCOMPENSATOR FOR AN SMIB SYSTEM

STUDY OF SMALL SIGNAL STABILITY WITH STATIC SYNCHRONOUS SERIESCOMPENSATOR FOR AN SMIB SYSTEM STUDY OF SMLL SIGNL STBILITY WITH STTIC SYNCHRONOUS SERIESCOMPENSTOR FOR N SMIB SYSTEM K.Geetha, Dr.T.R.Jyothsna 2 M.Tech Student, Electrical Engineering, ndhra University, India 2 Professor,Electrical

More information

A Computer Application for Power System Control Studies

A Computer Application for Power System Control Studies A Computer Application for Power System Control Studies Dinis C. A. Bucho Student nº55262 of Instituto Superior Técnico Technical University of Lisbon Lisbon, Portugal Abstract - This thesis presents studies

More information

Location-Dependent Impacts of Resource Inertia on Power System Oscillations

Location-Dependent Impacts of Resource Inertia on Power System Oscillations Proceedings of the 51 st Hawaii International Conference on System Sciences 2018 Location-Dependent Impacts of Resource Inertia on Power System Oscillations Ti Xu, Wonhyeok Jang, Thomas Overbye Department

More information

ABSTRACT IMPLICATIONS OF THE DICHOTOMY OF MODAL PARTICIPATION FACTORS FOR MONITORING AND CONTROL OF ELECTRIC POWER NETWORKS

ABSTRACT IMPLICATIONS OF THE DICHOTOMY OF MODAL PARTICIPATION FACTORS FOR MONITORING AND CONTROL OF ELECTRIC POWER NETWORKS ABSTRACT Title of thesis: IMPLICATIONS OF THE DICHOTOMY OF MODAL PARTICIPATION FACTORS FOR MONITORING AND CONTROL OF ELECTRIC POWER NETWORKS Paul Kenton Tschirhart, Master of Science, 2013 Thesis directed

More information

Dynamic analysis of Single Machine Infinite Bus system using Single input and Dual input PSS

Dynamic analysis of Single Machine Infinite Bus system using Single input and Dual input PSS Dynamic analysis of Single Machine Infinite Bus system using Single input and Dual input PSS P. PAVAN KUMAR M.Tech Student, EEE Department, Gitam University, Visakhapatnam, Andhra Pradesh, India-533045,

More information