%0 Journal Article
%T OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM
%J ERJ. Engineering Research Journal
%I Menoufia University, Faculty of Engineering
%Z 1110-1180
%A A. Abou El-Ela, Adel
%A E. M. Aly, Gamal
%A A. E. Shammali, Abeer
%D 2009
%\ 01/01/2009
%V 32
%N 1
%P 1-10
%! OPTIMAL SITTING AND SIZING OF CAPACITOR BANKS USING MULTI-OBJECTIVE GENETIC ALGORITHM
%K Optimal placement of capacitor banks — performance indices — Multi-objective
%K functions — Genetic Algorithms — Radial distribution systems
%R 10.21608/erjm.2009.69383
%X This paper presents a proposed optimization procedure (POP) to find the optimal sitting and sizingof capacitor banks in order to reduce the power and energy losses, increase the available capacityof the feeders and improve the feeder voltage profile. This technique uses the voltage regulationindex (VRI) and loading performance index (LPJ) to find the optimal placement of capacitor banksin the radial distribution systems (RDS). The multi-objective Genetic algorithm (MOGA) is usedas an optimization technique to achieve the multi-nonlinear inflected objective functions foroptimal sitting and sizing of capacitor banks problem. These objective functions are: minimizingthe 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 objectivefunctions are achieved simultaneously, while many radial distribution system constraints aresatisfied. Actual power distribution systems, as apart of Egyptian distribution network, are used toshow the capability of the proposed technique to improve the feeder performance throughoptimally sitting and sizing of capacitor banks.
%U https://erjm.journals.ekb.eg/article_69383_ec70bc5e48991d7ae52d87de22deb54b.pdf