Optimal power flow based on hybrid genetic algorithm

被引：0

作者：

Younes, M. ^{[1
]}

Rahli, M. ^{[1
]}

Abdelhakem-Koridak, L. ^{[1
]}

机构：

[1] Univ Sci & Technol Oran, Fac Elect Engn, Power Syst Optimizat Lab, Oran 31000, Algeria

来源：

JOURNAL OF INFORMATION SCIENCE AND ENGINEERING | 2007年 / 23卷 / 06期

关键词：

optimal power flow; genetic algorithm; power systems; economic dispatch; Matpower software;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Optimal Power Flow (OPF) is one of the main functions of Power Generation Operation and Control. It determines the optimal settings of generating units, bus voltage, and transformer tap and shunt elements in Power System with the objective of minimizing total production costs or losses while the system is operating within its security limits. The aim of this paper is to propose a methodology (GA-Matpower-OPF) that solves OPF including both active and reactive power dispatches. It is based on combining the Genetic Algorithm (GA) to obtain a near global solution, and the package of Matlab m-files for solving power flow and optimal power flow problems (Matpower) to determine the optimal global solution. This method was tested on the modified IEEE 57 bus test system. The results obtained by this method are compared with those obtained with GA or Matpower separately.

引用

页码：1801 / 1816

页数：16

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