Coordinated design of PSS and TCSC based on Fuzzy controller using global signals
Abstract
This paper presents a modified chaotic gravitational search algorithm (CGSA) as a novel heuristic algorithm for coordinatedesign of fuzzy logic controller-based thyristor controlled series capacitor (FLC-TCSC) and power system stabilizers (PSSs)in multi-machine power system. The coordinate design of PSS and FLC-TCSC damping controllers is converted to a singleoptimization problem with the time-domain objective function which is solved by the proposed CGSA algorithm which hasstrong ability for finding the most optimistic results. By minimizing the employed fitness function in which oscillatory characteristicsbetween areas are included, the interactions among the FLC-TCSC controller and PSS under transient conditionsin the multi-machine power system are enhanced. The generator speed and the electrical power are chosen as global inputsignals. The system performance is assessed through the time multiplied absolute value of the error (ITAE), Eigenvalues andfigure of demerit (FD) analysis performance indices. The robustness is tested by considering several operating conditions toestablish the superior performance with the proposed controller over the other stabilizers.References
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power system stabilizers using fuzzy gravitational search algorithm,
International Journal of Electrical Power & Energy Systems 51 (2013)
190–200.
[2] H. Shayeghi, A. Ghasemi, Multiple pss design using an improved
honey bee mating optimization algorithm to enhance low frequency
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of statcom and excitation system controllers for multi-machine
power systems using zero dynamics method, International Journal of
Electrical Power & Energy Systems 49 (2013) 269–279.
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control for generator excitation and thyristor controlled series compensation
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statcom for rotor angle stability and voltage regulation enhancement of
power systems, IEE Proceedings-Generation, Transmission and Distribution
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series compensation (asc) steady-state, transient stability, and subsynchronous
resonance studies, in: Proceedings of Flexible AC Transmission
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performance tests of the slatt thyristor-controlled series capacitor,
IEEE Transactions on Power Delivery 11 (2) (1996) 1112–1119.
[9] H. Chen, Y. Wang, R. Zhou, Transient stability enhancement via coordinated
excitation and upfc control, International journal of electrical
power & energy systems 24 (1) (2002) 19–29.
[10] A. A. Hashmani, Y. Wang, T. Lie, Enhancement of power system transient
stability using a nonlinear coordinated excitation and tcps controller,
International journal of electrical power & energy systems 24 (3)
(2002) 201–214.
[11] L. Cong, Y. Wang, D. Hill, Transient stability and voltage regulation enhancement
via coordinated control of generator excitation and svc, International
Journal of Electrical Power & Energy Systems 27 (2) (2005)
121–130.
[12] N. Mithulananthan, C. A. Canizares, J. Reeve, G. J. Rogers, Comparison
of pss, svc, and statcom controllers for damping power system
oscillations, IEEE transactions on power systems 18 (2) (2003) 786–
792.
[13] L.-Y. Sun, J. Zhao, G. M. Dimirovski, Adaptive coordinated passivation
control for generator excitation and thyristor controlled series compensation
system, Control Engineering Practice 17 (7) (2009) 766–772.
[14] P. Pourbeik, M. J. Gibbard, Simultaneous coordination of power system
stabilizers and facts device stabilizers in a multimachine power system
for enhancing dynamic performance, IEEE Transactions on Power
Systems 13 (2) (1998) 473–479.
[15] L.-J. Cai, I. Erlich, Simultaneous coordinated tuning of pss and facts
damping controllers in large power systems, IEEE Transactions on
Power Systems 20 (1) (2005) 294–300.
[16] Y. Abdel-Magid, M. Abido, Robust coordinated design of excitation and
tcsc-based stabilizers using genetic algorithms, Electric Power Systems
Research 69 (2-3) (2004) 129–141.
[17] X. Lei, E. N. Lerch, D. Povh, Optimization and coordination of damping
controls for improving system dynamic performance, IEEE Transactions
on Power Systems 16 (3) (2001) 473–480.
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coordinated design using pso in multi-machine power system, Energy
Conversion and Management 51 (12) (2010) 2930–2937.
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design using simulated annealing, International journal of electrical
power & energy systems 22 (8) (2000) 543–554.
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stability performance of power system, IEEE Transactions on Neural
Networks 17 (2) (2006) 461–470.
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statcom, in: Electrical and Control Engineering (ICECE), 2010 International
Conference on, IEEE, 2010, pp. 3520–3524.
[23] A. Ghasemi, A fuzzified multi objective interactive honey bee mating
optimization for environmental/economic power dispatch with valve
point effect, International Journal of Electrical Power & Energy Systems
49 (2013) 308–321.
[24] L. C. Saikia, N. Sinha, J. Nanda, Maiden application of bacterial foraging
based fuzzy idd controller in agc of a multi-area hydrothermal
system, International Journal of Electrical Power & Energy Systems
45 (1) (2013) 98–106.
[25] A. Abbadi, L. Nezli, D. Boukhetala, A nonlinear voltage controller
based on interval type 2 fuzzy logic control system for multimachine
power systems, International Journal of Electrical Power & Energy
Systems 45 (1) (2013) 456–467.
[26] H. Shayeghi, A. Ghasemi, A multi objective vector evaluated improved
honey bee mating optimization for optimal and robust design of power
system stabilizers, International Journal of Electrical Power & Energy
Systems 62 (2014) 630–645.
[27] C. A. Canizares, Power flow and transient stability models of facts controllers
for voltage and angle stability studies, in: Power Engineering
Society Winter Meeting, 2000. IEEE, Vol. 2, IEEE, 2000, pp. 1447–
1454.
[28] S. Panda, N. Padhy, R. Patel, Modelling, simulation and optimal tun-
ing of tcsc controller., International Journal of Simulation Modelling
(IJSIMM) 6 (1).
[29] C. Fuerte-Esquivel, E. Acha, H. Ambriz-Perez, A thyristor controlled
series compensator model for the power flow solution of practical
power networks, IEEE transactions on power systems 15 (1) (2000)
58–64.
[30] E. Rashedi, H. Nezamabadi-Pour, S. Saryazdi, Gsa: a gravitational
search algorithm, Information sciences 179 (13) (2009) 2232–2248.
[31] D. Yang, G. Li, G. Cheng, On the efficiency of chaos optimization algorithms
for global optimization, Chaos, Solitons & Fractals 34 (4) (2007)
1366–1375.
[32] H. Shayeghi, H. Shayanfar, A. Ghasemi, A robust abc based pss design
for a smib power system, International Journal on Technical and
Physical Problems of Engineering (IJTPE) 3 (2011) 86–92.
[33] K. Padiyar, Power system dynamics, BS publications, 2008.
[34] T. K. Das, G. K. Venayagamoorthy, U. O. Aliyu, Bio-inspired algorithms
for the design of multiple optimal power system stabilizers: Sppso and
bfa, IEEE Transactions on Industry Applications 44 (5) (2008) 1445–
1457.
power system stabilizers using fuzzy gravitational search algorithm,
International Journal of Electrical Power & Energy Systems 51 (2013)
190–200.
[2] H. Shayeghi, A. Ghasemi, Multiple pss design using an improved
honey bee mating optimization algorithm to enhance low frequency
oscillations, International Review of Electrical Engineering 6 (7).
[3] A. Khodabakhshian, M. J. Morshed, M. Parastegari, Coordinated design
of statcom and excitation system controllers for multi-machine
power systems using zero dynamics method, International Journal of
Electrical Power & Energy Systems 49 (2013) 269–279.
[4] L.-Y. Sun, J. Zhao, G. M. Dimirovski, Adaptive coordinated passivation
control for generator excitation and thyristor controlled series compensation
system, Control Engineering Practice 17 (7) (2009) 766–772.
[5] L. Cong, Y. Wang, Co-ordinated control of generator excitation and
statcom for rotor angle stability and voltage regulation enhancement of
power systems, IEE Proceedings-Generation, Transmission and Distribution
149 (6) (2002) 659–666.
[6] N. Christl, Advanced series compensation with thyristor controlled
impedance, CIGRE, 14/37/38-05.
[7] B. Agrawal, R. Hedin, R. Johnson, A. Montoya, B. Vossler, Advanced
series compensation (asc) steady-state, transient stability, and subsynchronous
resonance studies, in: Proceedings of Flexible AC Transmission
Systems (FACTS) Conference, Boston, MA, 1992.
[8] R. Piwko, C. Wegner, S. Kinney, J. Eden, Subsynchronous resonance
performance tests of the slatt thyristor-controlled series capacitor,
IEEE Transactions on Power Delivery 11 (2) (1996) 1112–1119.
[9] H. Chen, Y. Wang, R. Zhou, Transient stability enhancement via coordinated
excitation and upfc control, International journal of electrical
power & energy systems 24 (1) (2002) 19–29.
[10] A. A. Hashmani, Y. Wang, T. Lie, Enhancement of power system transient
stability using a nonlinear coordinated excitation and tcps controller,
International journal of electrical power & energy systems 24 (3)
(2002) 201–214.
[11] L. Cong, Y. Wang, D. Hill, Transient stability and voltage regulation enhancement
via coordinated control of generator excitation and svc, International
Journal of Electrical Power & Energy Systems 27 (2) (2005)
121–130.
[12] N. Mithulananthan, C. A. Canizares, J. Reeve, G. J. Rogers, Comparison
of pss, svc, and statcom controllers for damping power system
oscillations, IEEE transactions on power systems 18 (2) (2003) 786–
792.
[13] L.-Y. Sun, J. Zhao, G. M. Dimirovski, Adaptive coordinated passivation
control for generator excitation and thyristor controlled series compensation
system, Control Engineering Practice 17 (7) (2009) 766–772.
[14] P. Pourbeik, M. J. Gibbard, Simultaneous coordination of power system
stabilizers and facts device stabilizers in a multimachine power system
for enhancing dynamic performance, IEEE Transactions on Power
Systems 13 (2) (1998) 473–479.
[15] L.-J. Cai, I. Erlich, Simultaneous coordinated tuning of pss and facts
damping controllers in large power systems, IEEE Transactions on
Power Systems 20 (1) (2005) 294–300.
[16] Y. Abdel-Magid, M. Abido, Robust coordinated design of excitation and
tcsc-based stabilizers using genetic algorithms, Electric Power Systems
Research 69 (2-3) (2004) 129–141.
[17] X. Lei, E. N. Lerch, D. Povh, Optimization and coordination of damping
controls for improving system dynamic performance, IEEE Transactions
on Power Systems 16 (3) (2001) 473–480.
[18] H. Shayeghi, A. Safari, H. Shayanfar, Pss and tcsc damping controller
coordinated design using pso in multi-machine power system, Energy
Conversion and Management 51 (12) (2010) 2930–2937.
[19] M. Abido, Pole placement technique for pss and tcsc-based stabilizer
design using simulated annealing, International journal of electrical
power & energy systems 22 (8) (2000) 543–554.
[20] A. Khodabakhshian, R. Hooshmand, R. Sharifian, Power system stability
enhancement by designing pss and svc parameters coordinately
using rcga, in: Electrical and Computer Engineering, 2009.
CCECE’09. Canadian Conference on, IEEE, 2009, pp. 579–582.
[21] S. Mishra, Neural-network-based adaptive upfc for improving transient
stability performance of power system, IEEE Transactions on Neural
Networks 17 (2) (2006) 461–470.
[22] Z. Min, L. Wei, Decentralized robust control for power systems with
statcom, in: Electrical and Control Engineering (ICECE), 2010 International
Conference on, IEEE, 2010, pp. 3520–3524.
[23] A. Ghasemi, A fuzzified multi objective interactive honey bee mating
optimization for environmental/economic power dispatch with valve
point effect, International Journal of Electrical Power & Energy Systems
49 (2013) 308–321.
[24] L. C. Saikia, N. Sinha, J. Nanda, Maiden application of bacterial foraging
based fuzzy idd controller in agc of a multi-area hydrothermal
system, International Journal of Electrical Power & Energy Systems
45 (1) (2013) 98–106.
[25] A. Abbadi, L. Nezli, D. Boukhetala, A nonlinear voltage controller
based on interval type 2 fuzzy logic control system for multimachine
power systems, International Journal of Electrical Power & Energy
Systems 45 (1) (2013) 456–467.
[26] H. Shayeghi, A. Ghasemi, A multi objective vector evaluated improved
honey bee mating optimization for optimal and robust design of power
system stabilizers, International Journal of Electrical Power & Energy
Systems 62 (2014) 630–645.
[27] C. A. Canizares, Power flow and transient stability models of facts controllers
for voltage and angle stability studies, in: Power Engineering
Society Winter Meeting, 2000. IEEE, Vol. 2, IEEE, 2000, pp. 1447–
1454.
[28] S. Panda, N. Padhy, R. Patel, Modelling, simulation and optimal tun-
ing of tcsc controller., International Journal of Simulation Modelling
(IJSIMM) 6 (1).
[29] C. Fuerte-Esquivel, E. Acha, H. Ambriz-Perez, A thyristor controlled
series compensator model for the power flow solution of practical
power networks, IEEE transactions on power systems 15 (1) (2000)
58–64.
[30] E. Rashedi, H. Nezamabadi-Pour, S. Saryazdi, Gsa: a gravitational
search algorithm, Information sciences 179 (13) (2009) 2232–2248.
[31] D. Yang, G. Li, G. Cheng, On the efficiency of chaos optimization algorithms
for global optimization, Chaos, Solitons & Fractals 34 (4) (2007)
1366–1375.
[32] H. Shayeghi, H. Shayanfar, A. Ghasemi, A robust abc based pss design
for a smib power system, International Journal on Technical and
Physical Problems of Engineering (IJTPE) 3 (2011) 86–92.
[33] K. Padiyar, Power system dynamics, BS publications, 2008.
[34] T. K. Das, G. K. Venayagamoorthy, U. O. Aliyu, Bio-inspired algorithms
for the design of multiple optimal power system stabilizers: Sppso and
bfa, IEEE Transactions on Industry Applications 44 (5) (2008) 1445–
1457.
Published
2018-04-27
How to Cite
GHASEMI, Ali; SHAYEGHI, h.
Coordinated design of PSS and TCSC based on Fuzzy controller using global signals.
Journal of Power Technologies, [S.l.], v. 98, n. 1, p. 106–120, apr. 2018.
ISSN 2083-4195.
Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/797>. Date accessed: 22 dec. 2024.
Issue
Section
Electrical Engineering
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