基于布谷鸟搜索算法的智能配电网DG优化分配

Wirote Buaklee, K. Hongesombut
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引用次数: 39

摘要

在智能配电网环境下,分布式发电技术得到了广泛的应用。使用这些应用程序可以对配电系统产生积极和消极的影响。为了获得最大的效益,安装的尺寸和位置是应该考虑的问题。本文将布谷鸟搜索(Cuckoo Search, CS)用于智能配电系统中DG的最优配置和选址,以使故障水平和电压变化保持在可接受的范围内,从而使实际功率损耗最小。CS的灵感来自于一些杜鹃物种的专性幼虫寄生,它们把卵放在其他物种的巢里。为了证明所提出方法的有效性,选择了泰国省电力局(PEA)的一个简化的9总线径向配电系统,使用DIgSILENT软件进行计算机模拟,以探索最佳DG放置的好处和CS的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal DG allocation in a smart distribution grid using Cuckoo Search algorithm
In a smart distribution grid environment, the applications of Distributed Generation (DG) are widely employed. Using these applications can have both positive and negative impacts on the distribution system. The sizing and location of their installations are the issues that should be taken into consideration to gain the maximum benefit. This paper presents an application of the Cuckoo Search (CS) for the optimal sizing and siting of DG in a smart distribution power system in order to minimize real power losses by maintaining the fault level and the voltage variation within the acceptable limit. The CS is inspired by the obligate brood parasitism of some cuckoo species by putting their eggs in the nests of other species. To demonstrate the effectiveness of the proposed methodology, a simplify 9-bus radial distribution system of the Provincial Electricity Authority of Thailand (PEA) is selected for the computer simulation with DIgSILENT software to explore the benefit of the optimal DG placement and the performance of the CS.
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