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A solution to the optimal power flow using genetic algorithm
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DOI：10.1016/S0096-3003(03)00785-9.png)
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Abstract
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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.
Keywords:
nonlinear programming
genetic algorithms
load flow
economic dispatch
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