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

机译:基于萤火虫算法基于算法的能量损耗最小化方法,用于分布式发电的最优尺寸和放置

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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:本文提出了一种萤火虫算法(FA),用于径向分布系统中的分布式发电(DG)的最佳放置和尺寸,以最小化总实际功率损耗并改善电压曲线。 FA是一种由萤火虫的闪烁行为的启发的成群质算法。 Firefly的Flash的主要目的是充当吸引其他萤火虫的信号系统。综合性算法被广泛被认为是硬度优化问题最实用的方法之一。成群质主义最具吸引力的特征是其应用在优化问题上不需要特殊知识。在本文中,使用IEEE 33总线分配测试系统来显示FA的有效性。还给出了与混洗蛙跳跃算法(SFLA)的比较。

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