基于萤火虫算法的分布式发电最优规模与布局的能量损失最小化方法

Ketfi Nadhir, Djabali Chabane, B. Tarek
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引用次数: 26

摘要

本文提出了一种萤火虫算法,用于径向配电系统中分布式电源的最优布局和优化配置,以最大限度地减少实际功率损耗并改善电压分布。FA是一种受萤火虫闪烁行为启发的元启发式算法。萤火虫闪光的主要目的是作为一个信号系统来吸引其他萤火虫。元启发式算法被广泛认为是解决难优化问题最实用的方法之一。元启发式最吸引人的特点是它的应用不需要对优化问题有专门的了解。本文以IEEE 33总线配电测试系统为例,验证了该方法的有效性。并与shuffle Frog leapalgorithm (SFLA)进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Firefly algorithm based energy loss minimization approach for optimal sizing & placement of distributed generation
This paper propose a Firefly algorithm (FA) for optimal placement and sizing of distributed generation (DG) in radial distribution system to minimize the total real power losses and to improve the voltage profile. FA is a metaheuristic algorithm which is inspired by the flashing behavior of fireflies. The primary purpose of firefly's flash is to act as a signal system to attract other fireflies. Metaheuristic algorithms are widely recognized as one of the most practical approaches for hard optimization problems. The most attractive feature of a metaheuristic is that its application requires no special knowledge on the optimization problem. In this paper, IEEE 33-bus distribution test system is used to show the effectiveness of the FA. Comparison with Shuffled Frog Leaping Algorithm (SFLA) is also given.
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