A New Optimization Approach for Transmission Usage Allocation in Deregulated Power System
A New Optimization Approach for Transmission Usage Allocation in Deregulated Power System作者机构：Faculty of Electrical Engineering University Technology Malaysia Johor 81310 Malaysia School of Electrical System Engineering University Malaysia Perlis Perlis 01000 Malaysia
出 版 物：《Journal of Energy and Power Engineering》 (能源与动力工程（美国大卫英文）)
年 卷 期：2010年第4卷第6期
页 面：45-54页
学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 080802[工学-电力系统及其自动化] 0808[工学-电气工程] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 0701[理学-数学]
主 题：Deregulation genetic algorithm (GA) optimization transmission usage allocation.
摘 要：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.
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