Title: Principal component analysis-based real coded genetic algorithm for optimal reactive power dispatch

Authors: Amit Saraswat; Ashish Saini

Addresses: Department of Electrical Engineering, Faculty of Engineering, Dayalbagh Educational Institute, Agra-282110, Uttar Pradesh, India ' Department of Electrical Engineering, Faculty of Engineering, Dayalbagh Educational Institute, Agra-282110, Uttar Pradesh, India

Abstract: This paper presents a new solution method for optimal reactive power dispatch (ORPD) problem based on principal component analysis (PCA). In heavily loaded power system, security, reliability and economy are some unavoidable concerns. Therefore, ORPD becomes an essential tool to achieve these goals. It is a highly non-linear constrained optimisation problem. A PCA-based real coded genetic algorithm (PCA-RCGA) is proposed in this paper to deal with such type of problem. In PCA-RCGA, PCA theory is applied in mutation operator to enhance convergence of conventional genetic algorithm by guiding the direction of stochastic search to reach near the global optimal solution effectively. The proposed PCA-RCGA is tested on standard IEEE-30 bus and IEEE-118 bus system for ORPD problem. The simulation results for both cases are compared with various optimisation techniques applied to ORPD available in literature.

Keywords: optimal reactive power dispatch; ORPD; principal component analysis; PCA; real coded genetic algorithms; RCGA; global optimisation; IEEE-30 bus; IEEE-118 bus; simulation.

DOI: 10.1504/IJPEC.2014.061761

International Journal of Power and Energy Conversion, 2014 Vol.5 No.2, pp.135 - 154

Received: 03 Sep 2011
Accepted: 28 Aug 2012
Published online: 05 Jul 2014 *

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