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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Mohd. Murtadha Othman
Universiti Teknologi MARA

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Chaotic Local Search Based Algorithm for Optimal DGPV Allocation Sharifah Azma Syed Mustaffa; Ismail Musirin; Mohd. Murtadha Othman; Mohamad Khairuzzaman Mohamad Zamani; Akhtar Kalam
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: July 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i1.pp113-120

Abstract

The advent of advanced technology has led to the increase of electricity demand in most countries in the world. This phenomenon has made the power system network operate close to the stability limit. Therefore, the power utilities are looking forward to the solution to increase the loadability of the existing infrastructure. Integration of renewable energy into the grid such as Distributed Generation Photovoltaic (DGPV) can be one of the possible solutions. In this paper, Chaotic Mutation Immune Evolutionary Programming (CMIEP) algorithm is used as the optimization method while the chaotic mapping was employed in the local search for optimal location and sizing of DGPV. The chaotic local search has the capability of finding the best solution by increasing the possibility of exploring the global minima. The proposed technique was applied to the IEEE 30 Bus RTS with variation of load. The simulation results are compared with Evolutionary Programming (EP)  and it is found that CMIEP performed better in most of the cases.
Co-Authors Akhtar Kalam Ismail Musirin Mohamad Khairuzzaman Mohamad Zamani Sharifah Azma Syed Mustaffa