A Review on Optimal Power Flow Solutionsunder Variable Load

Asmita D. Chandekar, D. Subroto
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Abstract

This paper reviews the optimal power flow solutions under variable load conditions. In this article we review the recent trend towards non-deterministic (random) search techniques and hybrid methods for OPF and give the review conclusions. These methods have become popular because they have a theoretical advantage over the deterministic methods with respect to handling of non convexity, dynamics, and discrete variables. Present commercial OPF programs can solve very large and complex power systems optimization problems in a relatively less time. In recent years many different solution methods have been suggested to solve OPF problems. The review contributes a comprehensive discussion of specific optimization techniques that can be applied to OPF Solution methodology.
变负荷下最优潮流研究进展
本文综述了变负荷条件下的最优潮流解。本文综述了OPF的非确定性(随机)搜索技术和混合搜索方法的最新发展趋势,并给出了总结。这些方法之所以流行,是因为它们在处理非凸性、动力学和离散变量方面比确定性方法具有理论优势。目前的商用OPF程序可以在相对较短的时间内解决非常庞大和复杂的电力系统优化问题。近年来,人们提出了许多求解OPF问题的方法。这篇综述对可应用于OPF解决方案方法论的具体优化技术进行了全面的讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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