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Firefly algorithm based energy loss minimization approach for optimal sizing placement of distributed generation

机译:基于Firefly算法的能量损失最小化方法,可优化分布式发电的规模和布局

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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.
机译:本文提出了一种Firefly算法(FA),用于径向分布系统中分布式发电(DG)的最佳放置和大小确定,以最大程度地减少总有功功率损耗并改善电压分布。 FA是一种元启发式算法,其灵感来自萤火虫的闪烁行为。萤火虫的闪光的主要目的是充当吸引其他萤火虫的信号系统。元启发式算法被广泛认为是解决硬优化问题的最实用方法之一。元启发式方法最吸引人的特点是,其应用不需要关于优化问题的专门知识。在本文中,使用IEEE 33总线配电测试系统来证明FA的有效性。还给出了与改组蛙跳算法(SFLA)的比较。

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