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CLC number: TM762

On-line Access: 2010-08-02

Received: 2009-09-06

Revision Accepted: 2010-01-05

Crosschecked: 2010-06-09

Cited: 9

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.8 P.645-653

http://doi.org/10.1631/jzus.C0910551


Coordination of PSS and TCSC controller using modified particle swarm optimization algorithm to improve power system dynamic performance


Author(s):  Alireza Rezazadeh, Mostafa Sedighizadeh, Ahmad Hasaninia

Affiliation(s):  Faculty of Electrical and Computer Engineering, Shahid Beheshti University, Tehran 1983963113, Iran, Faculty of Engineering and Technology, Imam Khomeini International University, Ghazvin 34194, Iran

Corresponding email(s):   m_sedighi@sbu.ac.ir

Key Words:  Coordination, Particle swarm optimization (PSO), Power system stabilizer (PSS), Small signal stability, Thyristor controlled series compensator (TCSC) controller


Alireza Rezazadeh, Mostafa Sedighizadeh, Ahmad Hasaninia. Coordination of PSS and TCSC controller using modified particle swarm optimization algorithm to improve power system dynamic performance[J]. Journal of Zhejiang University Science C, 2010, 11(8): 645-653.

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DOI - 10.1631/jzus.C0910551


Abstract: 
This paper develops a modified optimization procedure for coordination of a power system stabilizer (PSS) and a thyristor controlled series compensator (TCSC) controller to enhance the power system small signal stability. The new approach employs eigenvalue-based and time-domain simulation based objective functions simultaneously to improve the optimization convergence rate. A modified particle swarm optimization (MPSO) algorithm is used as the optimization algorithm. The results of simulations and eigenvalue analysis for a single machine infinite bus (SMIB) system equipped with the proposed PSS and TCSC controllers confirm that the new approach is effective in enhancing the system stability.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[4]Dubey, M., Dubey, A., 2006. Simultaneous Stabilization of Multimachine Power System Using Genetic Algorithm Based Power System Stabilizer. Proc. 41st Int. Universities Power Engineering Conf., p.426-431.

[5]Gibbard, M.J., Vowles, D.J., Pourbeik, P., 2000. Interaction between, and effectiveness of, power system stabilizers and FACTS device stabilizers in multimachine systems. IEEE Trans. Power Syst., 15(2):748-755.

[6]Kennedy, J., Eberhart, R.C., 1995. Particle Swarm Optimization. Proc. Int. Conf. on Neural Networks, 4:1942-1948.

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[8]Larsen, E.V., Sanches-Gasca, J.J., Chow, J.H., 1995. Concept for design of FACTS controllers to damp power swings. IEEE Trans. Power Syst., 10(2):948-956.

[9]Noroozian, M., Ängquist, L., Ingeström, G., 1999. Series Compensation in Flexible AC Transmission Systems (FACTS). Institution of Electrical Engineers, London.

[10]Panda, S., Padhy, N.P., 2008a. Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design. Appl. Soft Comput., 8(4):1418-1427.

[11]Panda, S., Padhy, N.P., 2008b. Optimal location and controller design of STATCOM for power system stability improvement using PSO. J. Franklin Inst., 345(2):166-181.

[12]Panda, S., Padhy, N.P., Patel, R.L., 2007. Robust coordinated design of PSS and TCSC using PSO technique for power system stability enhancement. J. Electr. Syst., 3:109-123.

[13]Pourbeik, P., Gibbard, M.J., 1998. Simultaneous coordination of power system stabilizers and FACTS device stabilizers in a multimachine power system for enhancing dynamic performance. IEEE Trans. Power Syst., 13(2):473-479.

[14]Wang, H.F., 1999. Oscillation Stability Analysis and Control in Flexible AC Transmission Systems (FACTS). Institution of Electrical Engineers, London.

[15]Wang, H.F., Xu, H.Z., 2004. FACTS-Based Stabilizers to Damp Power System Oscillations: a Survey. 39th Int. Universities Power Engineering Conf., 1:318-321.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

sebaa@univeristy of médéa<k_sebaa@gmail.com>

2010-08-04 16:15:21

good paper

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