期刊
ENERGY REPORTS
卷 6, 期 -, 页码 724-730出版社
ELSEVIER
DOI: 10.1016/j.egyr.2019.11.145
关键词
Battery energy storage system; Improved particle swarm optimization; Microgrid; Mitigating; PV smoothing; Voltage fluctuation
资金
- Faculty of Engineering, Chiang Mai University, Thailand
- Provincial Electricity Authority (PEA), Thailand
The variability and intermittency of light intensity, caused by cloud movement and weather conditions, can create fluctuation in the photovoltaic (PV) power generation. In a microgrid with a high PV penetration, these can affect severe microgrid voltage fluctuation problem. However, the battery energy storage system (BESS) is an equipment that can be used to smooth PV fluctuation and enhance the flexibility of the microgrid. In this paper, an improved particle swarm optimization (I-PSO) is developed to mitigate the voltage fluctuation by optimizing both BESS active and reactive power. The I-PSO is developed and implemented in MATLAB, while the time sweep load flow is calculated by using DIgSILENT PowerFactory. The proposed method is tested on the practical 22 kV Mae Sa Riang microgrid in Thailand which has encountered from voltage fluctuation problem. The simulation results show that the I-PSO is more effective in determining the optimal BESS operation and mitigating the PV voltage fluctuation than the PV smoothing mode in the microgrid. (C) 2019 Published by Elsevier Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据