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2014 | OriginalPaper | Chapter

Comparative Performance Analysis of Particle Swarm Optimization and Interval Type-2 Fuzzy Logic-Based TCSC Controller Design

Authors : Manoj Kumar Panda, G. N. Pillai, Vijay Kumar

Published in: Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Publisher: Springer India

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Abstract

In this paper, an interval type-2 fuzzy logic controller (IT2FLC) is proposed for thyristor-controlled series capacitor (TCSC) to improve power system damping. It has been tested on the single-machine infinite-bus (SMIB) system. The proposed controller performance is compared with particle swarm optimization (PSO) and type-1 fuzzy logic controller (T1FLC)-based TCSC. In this problem, the PSO algorithm is applied to find out the optimal values of parameters of lead-lag compensator-based TCSC controller. The comparative performance is analyzed based on the simulation results obtained for rotor speed deviation and power angle deviation plot, and it has been found that for damping oscillations of SMIB system, the proposed IT2FLC is quite effective. The proposed controller is also robust subjected to different operating conditions and parameter variation of the power system.

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Appendix
Available only for authorised users
Literature
1.
Valle, Y.D., Venayagamoorthy, G.K., Mohagheghi, S., Hernandez, J.C., Harley R.G.: Particle swarm optimization: basic concepts, variants and applications in power systems. In: IEEE transaction on evolutionary computation. vol. 12(2), pp. 171–195 (2008)
2.
Civicioglu, P., Besdok, E.: A conceptual comparison of the Cuckoo search, particle swarm optimization, differential evolution and artificial bee colony algorithm. Artif Intell Rev. (2011). doi:10.​1007/​s10462-011-9276-0
3.
Aguero, J.R., Vargas, A.: Calculating functions of interval type-2 fuzzy numbers for fault current analysis. IEEE Trans. Fuzzy Syst. 15(1), 31–40 (2007). FebruaryCrossRef
4.
Lin, P.Z., Lin, C.M., Hsu, C.F., Lee, T.T.: Type-2 fuzzy controller design using a sliding-mode approach for application to DC-DC converters. IEE Proc. Electr. Power Appl. 152(6), 1482–1488 (2005). NovCrossRef
5.
Tripathy, M., Mishra, S.: Interval type-2 based thyristor controlled series capacitor to improve power system stability. IET Gener. Transm. Distrib. 5(2), 209–222 (2011)CrossRefMathSciNet
6.
Panda, M.K., Pillai, G.N., Kumar, V.: Design of an Interval Type-2 Fuzzy Logic Controller for Automatic Voltage Regulator System. Electric Power Compon. Syst. 40(2), 219–235 (2012)CrossRef
7.
Hingorani, N.G., Gyugyi, L.: Understanding FACTS: Concepts and Technology of Flexible ac Transmission Systems. IEEE Press, New York (2000)
8.
Mathur, R.M., Verma, R.K.: Thyristor-based FACTS Controllers for Electrical Transmission Systems. IEEE Press, Piscataway (2002)
9.
Panda S.,, Padhy, N.P., Patel, R.N.: Genetically optimized TCSC controller for transient stability improvement. Int. J. Comput. Inf. Syst. Sci. Eng. 1(1) 2008
10.
Panda, S., Padhy, N.P.: Comparison of particle swarm optimization and genetic algorithm for FACTS-based controller design. Electric Power Syst. Res. (2008)
11.
Hameed, S., Das, B., Pant, V.: A self tuning PI controller for TCSC to improve power system stability. Electric Power Syst. Res. 78, 1726–1735 (2008)
12.
Padiyar,K.R.: Power System Dynamics: Stability and Control. Wiley, New York (1996)
Metadata
Title
Comparative Performance Analysis of Particle Swarm Optimization and Interval Type-2 Fuzzy Logic-Based TCSC Controller Design
Authors
Manoj Kumar Panda
G. N. Pillai
Vijay Kumar
Copyright Year
2014
Publisher
Springer India
Book
Proceedings of the Second International Conference on Soft Computing for Problem Solving (SocProS 2012), December 28-30, 2012

Print ISBN: 978-81-322-1601-8

Electronic ISBN: 978-81-322-1602-5

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-81-322-1602-5_8

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