Improved strategy of particle swarm optimisation algorithm for reactive power optimisation

Authors:
Jin-gui Lu;Li Zhang;Hong Yang;Jie Du
Affiliations:
Centre of CAD, Nanjing University of Technology, Nanjing 210009 Jiangsu Province, P.R. China.;Centre of CAD, Nanjing University of Technology, Nanjing 210009 Jiangsu Province, P.R. China.;Centre of CAD, Nanjing University of Technology, Nanjing 210009 Jiangsu Province, P.R. China.;Department of Computer, Nanjing University of Information Science & Technology, Nanjing Jiangsu Province, P.R. China
Venue:
International Journal of Bio-Inspired Computation
Year:
2010

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Abstract

This paper involves the application of particle swarm optimisation in the optimisation problem of reactive power. The optimisation model of reactive power is first introduced and the improved strategy of particle swarm optimisation is proposed for the problem of optimisation of reactive power in this paper. In order to improve the local search ability, the disturbance item is given for the updating equation of the particle in the improved strategy. The numerical examples of standard IEEE-6 and IEEE-30 power systems for the improved strategy of particle swarm optimisation are performed for the reactive power optimisation. The effectiveness of the improved strategy proposed in this paper has been demonstrated preliminarily from the numerical examples.