IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 9, No 1: March 2020

Supervised evolutionary programming based technique for multi-DG installation in distribution system

Muhammad Firdaus Shaari (Universiti Teknologi MARA Malaysia)
Ismail Musirin (Universiti Teknologi MARA)
Muhamad Faliq Mohamad Nazer (UCSI University)
Shahrizal Jelani (UCSI University)
Farah Adilah Jamaludin (UCSI University)
Mohd Helmi Mansor (Universiti Tenaga Nasional)
A.V.Senthil Kumar (Hindusthan College of Arts and Science)

Article Info

Publish Date
01 Mar 2020

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. 

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Journal Info
IAES International Journal of Artificial Intelligence (IJ-AI)
Website

Abbrev

IJAI

Publisher

Institute of Advanced Engineering and Science

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...