Optimal Sizing and Locations of Capacitors Using Slime Mould Algorithm

Author:

Ali E. S.1,Elazim S. M. Abd2

Affiliation:

1. Electric Department, Faculty of Engineering, Jazan University, Jazan, KINGDOM OF SAUDI ARABIA

2. Computer Science Department, Faculty of Computer Science and Information Technology, Jazan University, KINGDOM OF SAUDI ARABIA

Abstract

A new and powerful approach called Slime Mould Algorithm (SMA) is suggested in this paper, for optimal siting and sizing of capacitors for an IEEE distribution network. First, the most nominee buses for installing capacitors are developed using various indices. Loss Sensitivity Factors (LSF), Voltage Stability Index (VSI), and Power Loss Index (PLI) are employed to determine the selected buses. Then the proposed SMA is used to deduce the size of capacitors and their positions from the picked buses. The objective function is introduced to minimize the net cost and then, increase the total saving per year. The developed approach is tested on the IEEE distribution network. The obtained results are compared with others to highlight the advantages of the developed approach. Also, the results are presented to confirm its influence in minifying the losses, and net cost and to improve the voltage profile and total saving for a radial distribution network.

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Subject

Electrical and Electronic Engineering,Energy (miscellaneous)

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