使用 GA、PSO 和 BA 对径向配电系统中的风电机组进行优化布置以实现最小实际功率损耗的比较

Mr. E. Anil Kumar, Prof. M. Gopichand Naik
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引用次数: 0

摘要

本文主要探讨如何将可再生能源系统作为分布式发电机(DGs)有效地集成到配电网中,以最大限度地减少系统中因其存在而造成的损失。为实现这一目标,研究提出了在配电网络的最佳位置对分布式发电机进行战略布局和大小调整的建议。为应对这一挑战,我们精心选择并应用了四种基于启发式搜索的方法。本文的主要目标有两个方面:首先,本文试图通过损耗最小化标准找到风电机组的理想位置和大小。其次,研究旨在比较所选的四种基于启发式搜索的方法的性能,以实现减少损耗的目标。通过评估这些方法的结果,研究人员可以确定在径向网络中最有效的风电机组位置和大小确定方法。为了进行分析,采用了 IEEE 33 径向母线测试系统作为代表性配电系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of Optimal DG Placement Using GA, PSO and BA for Minimum Real Power Loss in Radial Distribution System
The below paper concentrates on the efficient integration of Renewable Energy Systems as Distributed Generators (DGs) within the distribution sector, aiming to minimize losses occurring from their presence in the system. To achieve this objective, the study proposes the strategic placing and sizing of DGs at optimal locations within the distribution network. To tackle this challenge, four heuristic search-based methods have been carefully selected and applied. The primary objectives of the paper are twofold: Firstly, it seeks to find  the ideal location and sizing of DGs by  loss minimization criteria. Secondly, the study aims to compare the performance of  four chosen heuristic search-based methods TO achieve  the loss reduction goals. By evaluating these methods' outcomes, researchers can identify the most effective method for DG placement and its   sizing in the radial network. For the analysis, the IEEE 33 radial bus test system is utilized as a representative distribution system.
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