Universiti Teknologi Malaysia Institutional Repository

A new optimization approach for transmission usage allocation in deregulated power system

Mustafa, Mohd. Wazir and Sulaiman, Mohd. Herwan (2010) A new optimization approach for transmission usage allocation in deregulated power system. Journal of Energy and Power Engineering, 4 (6). pp. 45-54. ISSN 1934-8975

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Official URL: https://pdfs.semanticscholar.org/63d3/92f0d1ed49b4...

Abstract

Deregulation of power system industry is a very large complex exercise based on respective national energy strategies and policies. A lot of matters and knowledge need to be studied before the idea of deregulation can be implemented. Theoretically, it is said that deregulation can make a large impact to increase efficiency and encourage the competitiveness among related parties. However, to implement the concept of deregulation to electric power supply is very tough challenge. In deregulation environment, regardless of market structure, to know the transmission usage allocation is vital and very a complex problem. Thus, a lot of algorithms have been proposed to overcome it. This paper intends to solve the transmission usage allocation problem using optimization approach. The optimization tool that will be utilized is Genetic Algorithm (GA). GA is probabilistic search technique that has its roots in the principle of genetics and strives for survival. In addition, GA is very robust. Since the nonlinear nature of power flow, it is expected that GA can give optimize results that equitable and acceptable. In this paper, 4-bus and Klos-Kerner 11-bus systems are used for analysis studies. Comparison with other method is also given in this paper.

Item Type:Article
Uncontrolled Keywords:Deregulation, genetic algor ithm (GA), optimization, tran smission usage allocation
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:37012
Deposited By: Fazli Masari
Deposited On:09 Mar 2014 16:39
Last Modified:30 Sep 2018 16:15

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