Please use this identifier to cite or link to this item:
Title: Application of immune log-normal evolutionary programming in distributed generation installation
Authors: Mansor, M.H. 
Musirin, I. 
Othman, M.M. 
Shaaya, S.A. 
Syed Mustaffa, S.A. 
Issue Date: 2017
Abstract: Nowadays, the location and sizing of distributed generation (DG) units in power system network are crucial to be at optimal as it will affect the power system operation in terms of stability and security. In this paper, a new technique termed as Immune Log-Normal Evolutionary Programming (ILNEP) is applied to find the optimal location and size of distributed generation units in power system network. Voltage stability is considered in solving this problem. The proposed technique has been tested on the IEEE 26 bus Reliability Test System to find the optimal location and size of distributed generation in transmission network. In order to study the performance of ILNEP technique in solving DG Installation problem, the results produced by ILNEP were compared with other meta-heuristic techniques like evolutionary programming (EP) and artificial immune system (AIS). It is found that the proposed technique gives better solution in term of lower total system loss compared to the other two techniques. © 2017 Institute of Advanced Engineering and Science. All rights reserved.
Appears in Collections:COE Scholarly Publication

Show full item record

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.