Optimal Power Flow Analysis of IEEE-30 bus System using Genetic Algorithm Techniques

Hari Om1, Shuchi Shukla2

Abstract— This paper is focused at providing a solution to optimal power flow problem in power systems by using Genetic Algorithm approach. The proposed approach finds the optimal setting of OPF control variables which include generator active output, generator bus voltages, transformer tap-setting and shunt devices with the objective function of minimizing the fuel cost. The proposed Genetic Algorithm technique is modelled to be flexible for implementation to any power systems with the given system line,   bus   data,   generator fuel   cost parameter and forecasted load demand. Proposed genetic algorithm technique has been analyzed and tested on the standard benchmark IEEE 30-bus system. Results obtained after applying both optimization techniques on American Electric IEEE 30-bus system with the same control variable maximum & minimum limits and system data have been compared and analyzed. Proposed method efficiently optimizes and solves the optimal power flow problem with high efficiency and wide flexibility for implementation and analysis on different power system networks.

Keywords Optimal power flow, Fuel cost minimization, Genetic algorithm.

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