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International Journal of

Recent Trends in Engineering

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International Journal of Recent Trends in Engineering (IJRTE)

ISSN 1797-9617

Volume 1, Number 3, May 2009

Issue on Electrical & Electronics

Page(s): 124-128

Reactive Power Planning using Real GA Comparison with Evolutionary Programming

S.K.Nandha Kumar, and P.Renuga

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Abstract

This paper proposes an application of real coded genetic algorithm (RGA) to reactive power planning (RPP). Several techniques have been developed to make RGA practicable to solve a real power system problem and other practical problems. The proposed approach has been used in the IEEE 30-bus system. Simulation results, compared with those obtained by using the evolutionary programming(EP), are presented to show that the present method is better for power system planning. In the case of optimization of non-continuous and non-smooth function, RGA gives much better results than EP. The comprehensive simulation results show a great potential for applications of RGA in power system economical and secure operation, planning and reliability assessment.

Index Terms

Power systems, real coded genetic algorithm, reactive power planning, artificial intelligence, evolutionary programming

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