Principal component analysis-based real coded genetic algorithm for optimal reactive power dispatch. (1st January 2014)

• Record Type: Journal Article
• Authors: Saraswat, Amit; Saini, Ashish
• Is Part Of: International journal of power and energy conversion. Volume 5:Number 2(2014)
• Page Start: 135
• Page End: 154
• Publication Date: 2014-01-01
• Subjects: optimal reactive power dispatch -- ORPD -- principal component analysis -- PCA -- real coded genetic algorithm -- RCGA -- global optimal solution; Energy conversion -- Periodicals; Power resources -- Periodicals; Electric power production -- Periodicals; 621.31205
• Languages: English
• ISSNs: 1757-1154

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.