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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Farah Adilah Jamaludin
UCSI University
Computer Science & IT Engineering

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Supervised evolutionary programming based technique for multi-DG installation in distribution system Muhammad Firdaus Shaari; Ismail Musirin; Muhamad Faliq Mohamad Nazer; Shahrizal Jelani; Farah Adilah Jamaludin; Mohd Helmi Mansor; A.V.Senthil Kumar
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (650.398 KB) | DOI: 10.11591/ijai.v9.i1.pp11-17

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. 
Co-Authors A.V.Senthil Kumar Ismail Musirin Mohd Helmi Mansor Muhamad Faliq Mohamad Nazer Muhammad Firdaus Shaari Shahrizal Jelani