Voltage control of renewable-penetrated distribution network

Mengran Fang, L. Zeng, Dandan Guo, Shuang Fang, Chunling Zhang
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Abstract

The issue needs to be solved in this article is optimising voltage control of renewable-penetrated distributed network. The IEEE-33 system will be analysed in the article. The system includes many units, which are renewable energy, capacitor banks and diesel engine. The approach adopted in this paper is simulation in a fitness function by Matlab. Data management is the first step. It includes transfer active power, transfer reactive power and PV penetration. Next is model decision. Then, Genetic Algorithm is the chosen optimization method. The optimal result is illustrated at the end of this research.
可再生能源渗透配电网电压控制
本文要解决的问题是可再生能源分布式电网电压控制的优化问题。本文将对IEEE-33系统进行分析。该系统包括可再生能源、电容器组和柴油发动机等多个单元。本文采用的方法是用Matlab对适应度函数进行仿真。数据管理是第一步。包括输送有功功率、输送无功功率和光伏渗透。接下来是模型决策。然后,选择遗传算法作为优化方法。最后给出了优化结果。
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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