用于提升风电场短期功率预测准确率的储能系统出力控制策略  

The energy storage system output control strategy to improve the short term wind power forecasting accuracy rate

作　　者：李娜[1,2] 白恺 柳玉[1,2] 王开让 巩宇[1,2] 董建明 

机构地区：[1]国家电网公司风光储联合发电运行技术实验室,北京100045 [2]国网冀北电力有限公司电力科学研究院,北京10045

出　　处：《储能科学与技术》2018年第1期100-107,共8页Energy Storage Science and Technology

基　　金：国家电网公司科技项目(52018K16005V)

摘　　要：目前对于储能系统应用于平抑新能源发电的波动性、移峰填谷等场景的控制策略已有文献研究,但对于风功率预测准确率影响风电场效益的机制下储能系统应用的可行性尚未见研究。本文提出了一种以减小风电场短期功率预测偏差为目标的储能系统出力控制策略,控制策略以风电场实时出力数据(秒级)为数据源,采用线性外推加以移动平均优化的方法预测下一时刻风电场出力,通过比较风电场短期功率预测值与实时预测值,计算储能系统期望出力,并根据储能系统不同SOC区间内的出力能力进行约束,输出储能系统出力指令,最后进行了仿真验证。结果表明,本文提出的储能系统出力控制策略,能够使风电场通过配置储能系统,减少短期功率预测准确度考核,对风电场的精益化运行具有指导意义。At present, literature research on the energy storage system which is applied to control the fluctuation of new energy power generation and the control strategy of peak load shifting and valley filling has been done. Nevertheless, the feasibility of the application of the energy storage system under the mechanism of wind power prediction accuracy and the impact of wind farm benefits has not been studied. This paper proposes a control strategy of the system output to reduce wind farm short-term power prediction error for the target storage, which treats the real-time output data of wind farm （second level） as the data source and adopts the linear extrapolation method to predict the output of the wind farm at the next moment by moving average optimization. By comparing the short-term power forecast value and the real-time forecast value of wind farm and calculating the expected output of the energy storage system, simulation verification is carried out eventually after the output capacity of the energy storage system is restrained according to the output capacity of the SOC interval in the different energy storage system. The results show that the proposed control strategy of energy storage power system, can help the wind farm to meet the requirement of the short-trem power prediction accuracy assessment through the allocation of energy storage system, and has the guiding significance of lean-oriented operation and management of wind farm.

关 键 词：储能系统 风电场短期功率预测 准确率 荷电状态(SOC) 

分 类 号：TM72[电气工程—电力系统及自动化]