基于粒子群算法的配电网光伏系统优化配置

2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO) Pub Date : 2017-04-01 DOI:10.1109/ICMSAO.2017.7934886

Mohammed H. Albadi, H. Soliman, E. El-Saadany, M. A. Thani, A. Al-Alawi, S. Al-Ismaili, A. Al-Nabhani, H. Baalawi

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引用次数: 6

摘要

本文提出了一个案例研究，利用粒子群优化(PSO)来确定配电网络中光伏系统的最佳位置和规模，从而改善网络电压分布并将损失降至最低。阿曼马西拉岛的配电网络被认为是一个案例研究系统。利用MATLAB负载流工具箱对测试系统进行了建模和仿真。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal allocation of PV systems in distribution networks using PSO

This manuscript presents a case study to determine the optimal location and size of photovoltaic systems in an electric distribution networks using particle swarm optimization (PSO) such that network voltage profile is improved and losses are minimized. The distribution network of Masirah Island, Oman, is considered as a case study system. The test system is modeled and simulated using MATLAB load flow toolbox.

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来源期刊

2017 7th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO)

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