Optimal Configuration Strategy of Energy Storage System Considering Wind Power Fluctuation Rate

DOI：

 作者 单位 陈泽西1，2，孙玉树3，张妍4，李美成1 （1. 华北电力大学 新能源学院，北京 102206；2. 国网北京城区供电公司，北京 100034； 3. 中国科学院电工研究所，北京 100190；4. 华北电力大学 经济与管理学院，北京 102206）

为了减缓风电出力波动性对电网的影响，提出应用模型预测控制算法来分析不同波动率风电的储能系统的优化配置. 首先，基于模型预测控制方法，研究储能平抑风电波动的控制策略，并建立优化配置模型；其次，提出风电的正负波动率和累计波动率的概念，并梯次分析了3种典型波动率下的储能系统功率和容量的配置策略；最后，基于MATLAB软件，从构建的标准正弦风电到随机选取的风电等3种典型场景进行算例分析，验证本文所提出的基于模型预测控制的风电波动平抑策略和采用累计波动率差值作为储能容量的评价指标有效性，为可再生能源的友好并网及储能优化配置提供一种参考.

In order to mitigate the impact of wind power fluctuation on the power grid, a model predictive control algorithm is proposed to analyze the optimal allocation of energy storage system with different fluctuation rate of wind power. Firstly, based on the model predictive control (MPC) algorithm, the control strategy of using energy storage to smooth the wind power fluctuation is studied, and an optimal configuration model is established. Secondly，the concepts of positive and negative fluctuation rate and cumulative fluctuation rate of wind power are proposed，and the power and capacity allocation strategies of energy storage system under three typical fluctuation rates are analyzed in steps. Finally, three typical scenarios, from the established standard sinusoidal wind power to the randomly selected wind power, are analyzed based on MATLAB software to verify the effectiveness of wind power fluctuation mitigation strategy based on model predictive control algorithm and the cumulative fluctuation rate difference as energy storage size evaluation index, which provides a reference for the friendly grid connection of renewable energy and energy storage optimal configuration.