Title: A novel optimal capacitor placement algorithm using Nelder-Mead PSO

Authors: Pradeep Kumar; Asheesh K. Singh; Anurag K. Srivastava

Addresses: Department of Electrical Engineering, MNNIT Allahabad, Allahabad-211004, India ' Department of Electrical Engineering, MNNIT Allahabad, Allahabad-211004, India ' School of Electrical Engineering and Computer Science, Washington State University, P.O. Box 642752, Pullman, WA 99164, USA

Abstract: In this paper, a new efficient algorithm is developed for optimal placement of capacitor using Nelder-Mead particle swarm optimisation (NM-PSO). The developed capacitor placement problem (CPP) has been formulated to make the objective function (i.e., planning method) more realistic by incorporating essential economic factors, viz., maintenance cost, interest on investment cost and inflation. This developed CPP is found capable of providing more cost-effective solution than existing approaches. Simulation results are obtained for IEEE 9-bus and 69-bus radial distribution system. Results obtained with NM-PSO, are compared with the PSO approach. For both the IEEE test systems, simulation results reveal more effective and profitable planning with NM-PSO. In addition, sensitivity analysis is carried out to highlight the impact of newly incorporated economic factors, justifying their inclusion in CPP.

Keywords: optimal capacitor placement; particle swarm optimisation; Nelder-Mead PSO; NM-PSO; power distribution; maintenance cost; interest on investment cost; inflation; simulation; economic factors; radial distribution systems.

DOI: 10.1504/IJBIC.2014.065012

International Journal of Bio-Inspired Computation, 2014 Vol.6 No.4, pp.290 - 302

Received: 23 Mar 2013
Accepted: 14 Mar 2014

Published online: 21 Oct 2014 *

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