Title: Particle swarm optimisation technique using Gaussian and Cauchy probability distribution function for optimal power flow problem
Authors: N. Balasubramanian Muthuselvan; P. Somasundaram
Department of Electrical and Electronics Engineering, SSN College of Engineering, Old Mahabalipuram Road SSN Nagar - 603 110 Tamil Nadu, India.
Department of Electrical and Electronics Engineering, SSN College of Engineering, Old Mahabalipuram Road SSN Nagar - 603 110 Tamil Nadu, India
Abstract: This paper presents a modified particle swarm optimisation (PSO) algorithm for solving optimal power flow (OPF) problem through the application of Gaussian and Cauchy probability distributions. The modified PSO approach introduces diversification into the particle thus preventing PSO algorithm from premature convergence. The controllable system quantities are optimised to minimise fuel cost of the power generation. An IEEE 30-bus system is taken for investigation. The optimal power flow results obtained using modified PSO are compared with those obtained using standard PSO, GA and conventional methods. The investigation reveals that the proposed algorithm is relatively simple, reliable and efficient and suitable for online applications.
Keywords: optimal power flow; OPF; particle swarm optimisation; PSO; Gaussian probability distribution; Cauchy probability distribution; fuel costs.
Int. J. of Power and Energy Conversion, 2012 Vol.3, No.1/2, pp.42 - 53
Available online: 17 Dec 2011