Optimal placement and sizing of renewable distributed generation via gravitational search algorithm

Daud, Sa’adah and Abdul Kadir, Aida Fazliana and Gan, Chin Kim and Abdullah, Abdul Rahim and Sulaima, Mohamad Fani and Shamsudin, Nur Hazahsha (2015) Optimal placement and sizing of renewable distributed generation via gravitational search algorithm. Applied Mechanics and Materials, 785. pp. 556-560. ISSN 1660-9336

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Abstract

The installation of distributed generation (DG) gives advantages to the environment such as, it contribute in the reduction of non-peak operating cost, diversification of energy resources, lower losses thus improving overall organization. These advantages might be rescinded if no proper location and sizing of DGs are considered before the DG’s installation. This paper offers an optimal location and sizing of multiple DGs using heuristic method called gravitational search algorithm (GSA). The suggested algorithm is tested on 13-bus radial distribution system. This method is being compared with particle swarm optimization (PSO) in terms of system power loss, voltage deviation and total voltage harmonic distortion (THDv). GSA shows the ability to locate and sized DG optimally with a better performance and more reliable than PSO.

Item Type:	Article
Uncontrolled Keywords:	Distributed Generation (DG), Optimal placement and sizing, Gravitational Search Algorithm (GSA), Particle Swarm Optimization (PSO)
Divisions:	Faculty of Electrical Engineering
Depositing User:	Muhammad Afiz Ahmad
Date Deposited:	20 Sep 2017 08:26
Last Modified:	01 Jun 2023 16:35
URI:	http://eprints.utem.edu.my/id/eprint/19121
Statistic Details:	View Download Statistic

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