Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/15180
Title: Supervised evolutionary programming based technique for multi-DG installation in distribution system
Authors: Muhammad Firdaus Shaari 
Ismail Musirin 
Muhamad Faliq Mohamad Nazer 
Shahrizal Jelani 
Farah Adilah Jamaludin 
Mohd Helmi Mansor 
A.V.Senthil Kumar 
Issue Date: Mar-2020
Journal: IAES International Journal of Artificial Intelligence (IJ-AI) 
Abstract: Installing DG in network system, has supported the distribution system to provide the increasing number of consumer demand and load, in order to achieve that this paper presents an efficient and fast converging optimization technique based on a modification of traditional evolutionary programming method for obtain the finest optimal location and power loss in distribution systems. The proposed algorithm that is supervised evolutionary programming is implemented in MATLAB and apply on the 69-bus feeder system in order to minimize the system power loss and obtaining the best optimal location of the distributed generators.
URI: http://dspace.uniten.edu.my/jspui/handle/123456789/15180
Appears in Collections:UNITEN Scholarly Publication

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