A solution to the optimal power flow using genetic algorithm

被引:130
作者
Osman, MS
Abo-Sinna, MA [1 ]
Mousa, AA
机构
[1] Moenoufia Univ, Fac Engn, Dept Basic Engn Sci, Shibin Al Kawm, Egypt
[2] High Technol Inst, Ramadan, Egypt
关键词
nonlinear programming; genetic algorithms; load flow; economic dispatch;
D O I
10.1016/S0096-3003(03)00785-9
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Optimal power flow (OPF) is one of the main functions of power generation operation and control. It determines the optimal setting of generating units. It is therefore of great importance to solve this problem as quickly and accurately as possible. This paper presents the solution of the OPF using genetic algorithm technique. This paper proposes a new methodology for solving OPF. This methodology is divided into two parts. The first part employs the genetic algorithm (GA) to obtain a feasible solution subject to desired load convergence, while the other part employs GA to obtain the optimal solution. The main goal of this paper is to verify the viability of using genetic algorithm to solve the OPF problem simultaneously composed by the load flow and the economic dispatch problem. Six buses system are used to highlight the goodness of this solution technique. (C) 2003 Elsevier Inc. All rights reserved.
引用
收藏
页码:391 / 405
页数:15
相关论文
共 11 条
[1]  
[Anonymous], 1989, GENETIC ALGORITHM SE
[2]  
Gen M., 2000, Genetic Algorithms and Engineering Optimization
[3]  
Gregory J., 1995, NONLINEAR PROGRAMMIN
[4]  
MICHALEWICZ Z, 1995, FROM ANIM ANIMAT, P135
[5]  
MICHALEWICZ Z, 1996, GENETIC ALGORITHMS D
[6]   Evolutionary Algorithms for Constrained Parameter Optimization Problems [J].
Michalewicz, Zbigniew ;
Schoenauer, Marc .
EVOLUTIONARY COMPUTATION, 1996, 4 (01) :1-32
[7]  
NAGRATH IJ, 1999, MODERN POWER SYSTEM
[8]   A solution to the optimal power flow using simulated annealing [J].
Roa-Sepulveda, CA ;
Pavez-Lazo, BJ .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2003, 25 (01) :47-57
[9]  
Stevenson W.D., 1982, Elements of Power System Analysis
[10]  
Weber JD, 1997, THESIS U ILLINOIS UR