计算机科学
MATLAB语言
功率流
遗传算法
变压器
电力系统
交流电源
数学优化
电压
功率流研究
算法
功率(物理)
电气工程
数学
操作系统
工程类
量子力学
机器学习
物理
作者
Mimoun Younes,Mostefa Rahli,Lahouari Abdelhakem-Koridak
出处
期刊:Journal of Information Science and Engineering
[Institute of Information Science]
日期:2007-11-01
卷期号:23 (6): 1801-1816
被引量:52
标识
DOI:10.6688/jise.2007.23.6.10
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.
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