A solution to the optimal power flow using genetic algorithm

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 g...

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Vydáno v:Applied mathematics and computation Ročník 155; číslo 2; s. 391 - 405
Hlavní autoři: Osman, M.S., Abo-Sinna, M.A., Mousa, A.A.
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY Elsevier Inc 06.08.2004
Elsevier
Témata:
Calculus of variations and optimal control
Economic dispatch
Exact sciences and technology
Genetic algorithms
Load flow
Mathematical analysis
Mathematics
Nonlinear programming
Numerical analysis
Numerical analysis. Scientific computation
Numerical methods in mathematical programming
Numerical methods in mathematical programming, optimization and calculus of variations
Sciences and techniques of general use
Economic dispatch
Nonlinear programming
Genetic algorithms
Load flow
Non linear programming
Optimal power flow
Genetic algorithm
Applied mathematics
ISSN:0096-3003, 1873-5649
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Shrnutí: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.
ISSN:0096-3003
1873-5649
DOI:10.1016/S0096-3003(03)00785-9