基于粒子群算法的配电网中最优分布式发电布局与规模研究综述

Gulnar Niazi, M. Lalwani
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引用次数: 14

摘要

分布式能源在配电网中的整合已成为优化配电网运行和规划的重要手段。分布式发电的最优放置包括获得待放置dg的最优尺寸和位置。到目前为止,已经使用了各种方法和技术来获得最佳DG放置的最佳结果,其目标和结果各不相同。本文概述了粒子群优化算法在最优分布式发电布局问题中的研究与发展,并对该领域的几种模型和方法进行了分析和比较。本文还讨论了修改PSO在ODGP中的应用的未来可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PSO based optimal distributed generation placement and sizing in power distribution networks: A comprehensive review
Integration of the distributed energy resources in power distribution network has emerged as a significant method to optimize the operation and planning of the power distribution network. The optimal distributed generation placement comprises of obtaining the optimal size and location of the DGs to be placed. Various methods and techniques have been used to obtain the best possible results for optimal DG placement so far with varying objectives and outcomes. This paper gives an overview of the research and development of the particle swarm optimization (PSO) algorithm for the optimal distributed generation placement (ODGP) problems, examining and segregating the several models and methods in this field. Future possibilities in modifying the application of PSO for ODGP have also been discussed in this paper.
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