Optimization method of distribution network energy storage and capacity planning considering uncertainty of new energy sources

作者：Junyu Zhou, Guoming Luo, Zhangguo Chen · 发表于：Journal of Physics Conference Series · 年份：2022 · DOI：10.1088/1742-6596/2360/1/012011 · 被引用次数：4 · 研究领域：Optimal Power Flow Distribution、Smart Grid Energy Management、Integrated Energy Systems Optimization

The large-scale connection of the renewable energy with random and fluctuating output of the grid has a serious impact on the safe and stable operation of the grid. Considering the high cost of energy storage and the fluctuation of load, in this study, an optimization approach for designing the distribution network’s energy storage capacity is presented. This paper analyzes the uncertainty of new energy, and constructs a single distribution network energy storage station model based on the analysis results. In this paper, the typical daily total network loss is taken as the objective function for site selection and capacity planning. In this paper, particle swarm optimization algorithm is used to optimize the energy storage and capacity planning of distribution network. The experimental results show that this method can reduce the operating cost of distribution network and restrain the system load fluctuation. This method optimizes the economy and reliability of distribution network system.