基于多目标差分优化技术的分布式发电机组和电容器的优化配置

A. Saleh, A. Mohamed, A. Hemeida
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引用次数: 13

摘要

本文介绍了飞蛾群算法(MSA)和鲸鱼优化算法(WOA)两种不同优化技术的性能,并通过确定分布式能源(DER)和电容器(C)的最优配置,对径向配电系统中单目标和多目标(即网络总损耗和电压偏差)的最小化进行了比较。为此,在两种负载功率因数(即所提出的算法已在33总线径向配电网上进行了测试。在不同的系统运行条件下,比较了不同优化算法与其他进化优化技术的性能。仿真结果观察了基于不同技术在适当位置积分合适尺寸的DER的影响,有和没有C。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Allocation of Distributed Generations and Capacitor Using Multi-Objective Different Optimization Techniques
In this paper, the performance of different optimization techniques namely, Moth Swarm Algorithm (MSA) and Whale Optimization Algorithm (WOA) are presented and compared for minimization of single and multi-objective namely, (total network power losses, and voltage deviation) in radial distribution systems by identify the Optimal Placement of Distributed Energy Resources (DER) together with capacitor (C). In this regard, multiple-DER units are analyzed under two load power factors (i.e., unity and optimal) with and without C. The proposed algorithms have been tested on the 33-bus radial distribution network. The performance of the different optimization algorithms has been compared with other evolutionary optimization technique under different system operating conditions. The simulation results observed the impact of integrating the proper size of DER at the suitable placement based on different techniques with and without C.
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