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Optimal Power Flow with TCSC and TCPS Modeling using Craziness and Turbulent Crazy Particle Swarm Optimization

Optimal Power Flow with TCSC and TCPS Modeling using Craziness and Turbulent Crazy Particle Swarm Optimization

P. K. Roy, S. P. Ghoshal, S. S. Thakur
Copyright: © 2010 |Volume: 1 |Issue: 3 |Pages: 17
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781609608934|DOI: 10.4018/jsir.2010070103
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MLA

Roy, P. K., et al. "Optimal Power Flow with TCSC and TCPS Modeling using Craziness and Turbulent Crazy Particle Swarm Optimization." IJSIR vol.1, no.3 2010: pp.34-50. http://doi.org/10.4018/jsir.2010070103

APA

Roy, P. K., Ghoshal, S. P., & Thakur, S. S. (2010). Optimal Power Flow with TCSC and TCPS Modeling using Craziness and Turbulent Crazy Particle Swarm Optimization. International Journal of Swarm Intelligence Research (IJSIR), 1(3), 34-50. http://doi.org/10.4018/jsir.2010070103

Chicago

Roy, P. K., S. P. Ghoshal, and S. S. Thakur. "Optimal Power Flow with TCSC and TCPS Modeling using Craziness and Turbulent Crazy Particle Swarm Optimization," International Journal of Swarm Intelligence Research (IJSIR) 1, no.3: 34-50. http://doi.org/10.4018/jsir.2010070103

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Abstract

This paper presents two new Particle swarm optimization methods to solve optimal power flow (OPF) in power system incorporating flexible AC transmission systems (FACTS). Two types of FACTS devices, thyristor-controlled series capacitor (TCSC) and thyristor controlled phase shifting (TCPS), are considered. In this paper, the problems of OPF with FACTS are solved by using particle swarm optimization with the inertia weight approach (PSOIWA), real coded genetic algorithm (RGA), craziness based particle swarm optimization (CRPSO), and turbulent crazy particle swarm optimization (TRPSO). The proposed methods are implemented on modified IEEE 30-bus system for four different cases. The simulation results show better solution quality and computation efficiency of TRPSO and CRPSO algorithms over PSOIWA and RGA. The study also shows that FACTS devices are capable of providing an economically attractive solution to OPF problems.

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