Constriction factor based particle swarm optimization for analyzing tuned reactive power dispatch

Abstract

The reactive power dispatch (RPD) problem is a very critical optimization problem of power system which minimizes the real power loss of the transmission system. While solving the said problem, generator bus voltages and transformer tap settings are kept within a stable operating limit. In connection with the RPD problem, solving reactive power is compensated by incorporating shunt capacitors. The particle swarm optimization (PSO) technique is a swarm intelligence based fast working optimization method which is chosen in this paper as an optimization tool. Additionally, the constriction factor is included with the conventional PSO technique to accelerate the convergence property of the applied optimization tool. In this paper, the RPD problem is solved in the case of the two higher bus systems, i.e., the IEEE 57-bus system and the IEEE 118-bus system. Furthermore, the result of the present paper is compared with a few optimization technique based results to substantiate the effectiveness of the proposed study.

Key words： real power loss minimization; voltage stability; constriction factor; particle swarm optimization (PSO)

Acknowledgements

Gratitude goes to Jadavpur University for providing a soothing research environment for the conduction of this research. Acknowledgement also goes to the funding organization, the Department of Science and Technology (DST), Govt. of India, for their funding through INSPIRE Fellowship.

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