Application of immune log-normal evolutionary programming in distributed generation installation

M. H. Mansor, I. Musirin, M. M. Othman, S. A. Shaaya, S. A. Syed Mustaffa

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)730-736
Number of pages7
JournalIndonesian Journal of Electrical Engineering and Computer Science
Volume6
Issue number3
DOIs
Publication statusPublished - Jun 2017

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Control and Optimization
  • Electrical and Electronic Engineering

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