OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM

A. Abou El-Ela, Adel; E. M. Aly, Gamal; A. E. Shammali, Abeer

doi:10.21608/erjm.2009.69383

OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM

Document Type : Original Article

Authors

¹ Faculty of Engineering,Minoufiya University

² Faculty of Engineering,Tanta University

³ South Delta Electricity Distribution Company SDEDC

10.21608/erjm.2009.69383

Abstract

This paper presents a proposed optimization procedure (POP) to find the optimal sitting and sizing
of capacitor banks in order to reduce the power and energy losses, increase the available capacity
of the feeders and improve the feeder voltage profile. This technique uses the voltage regulation
index (VRI) and loading performance index (LPJ) to find the optimal placement of capacitor banks
in the radial distribution systems (RDS). The multi-objective Genetic algorithm (MOGA) is used
as an optimization technique to achieve the multi-nonlinear inflected objective functions for
optimal sitting and sizing of capacitor banks problem. These objective functions are: minimizing
the cost of power losses, minimizing the cost of energy losses, minimizing of voltage deviation,
minimizing the cost of capacitor banks and maximizing ofthe feeder power factor. These objective
functions are achieved simultaneously, while many radial distribution system constraints are
satisfied. Actual power distribution systems, as apart of Egyptian distribution network, are used to
show the capability of the proposed technique to improve the feeder performance through
optimally sitting and sizing of capacitor banks.

Keywords