最优潮流问题综述:传统解与元启发式解

P. Charles, F. Mehazzem, T. Soubdhan
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引用次数: 4

摘要

电力系统最优潮流(OPF)是在尊重相等约束和不相等约束的情况下,解决一个与经济或技术准则(称为适应度函数)有关的优化问题。本文选取的优化准则为发电燃料成本。为此,我们将对文献中使用的大多数传统和元启发式解决方法进行回顾。为了证明元启发式方法相对于传统方法在OPF问题求解中的优越性,我们提出了内点法(IPM)和粒子群优化(PSO)的应用实例。复习研究让我们更好地理解了文献中给出的OPF问题和方法解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Review on Optimal Power Flow Problems: Conventional and Metaheuristic Solutions
Optimal power flow (OPF) of power system consists in solving an optimization problem in relation to a criterion (economic or technic), called fitness function, while respecting equality and inequality constraints. The selected optimization criterion in this paper is the fuel cost of generation. For this, we are going to present a review of most conventional and metaheuristic solution methods used in literature. In order to demonstrate the advance of metaheuristic methods compared to conventional ones for OPF problem solution, we propose an application example using both interior point method (IPM) and the particle swarm optimization (PSO). The review study allowed us a better understanding of OPF problem and method solutions given in literature.
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