Title: A Hybrid Particle Swarm Optimisation approach for Reactive Power Optimisation in electricity market
Authors: P. Rajkumar, D. Devaraj
Addresses: Department of Electrical and Electronics Engineering, Kalasalingam University, Krishnankoil 626 190, India. ' Department of Electrical and Electronics Engineering, Kalasalingam University, Krishnankoil 626 190, India
Abstract: Reactive Power Optimisation (RPO) is an important issue in deregulated electricity market. This paper presents a Hybrid Particle Swarm Optimisation (HPSO) approach for solving the RPO problem in electricity market. Particle Swarm Optimisation (PSO) is a population-based search algorithm for global optimisation and has a minimum number of control parameters. In the proposed HPSO, to avoid the possibility of trapping in local optimum, genetic operators namely crossover and mutation are applied to the PSO algorithm. The proposed algorithm has been applied to find the optimal reactive power control variables in IEEE 30-bus system and promising results have been obtained.
Keywords: HPSO; hybrid PSO; particle swarm optimisation; deregulated electricity markets; RPO; reactive power optimisation; reactive power control variables.
International Journal of Energy Technology and Policy, 2011 Vol.7 No.4, pp.379 - 392
Published online: 28 Mar 2011 *Full-text access for editors Access for subscribers Purchase this article Comment on this article