电测与仪表2017，Vol.54Issue(15)：50-57,8.
基于超短期风电功率预测的混合储能控制策略研究
Research on hybrid energy storage control strategy based on ultra-short-term wind power prediction
摘要
Abstract
An operation control strategy based on ultra-short-term wind power prediction for hybrid energy storage is proposed in order to improve the output characteristics of wind farm.Firstly, the low frequency signals are extracted from the wind signals by analytical mode decomposition (AMD) method, and the penalty parameter and kernel function parameter of support vector machines (SVM) are found by using improved cuckoo search algorithms (ICSA) to predict the future wind power.Then, the power fluctuation index of the 1 min time scale and the 30 min time scale of low frequency predicted signal is established to judge whether the battery is triggered.If triggered, the cut-off frequency of low frequency predicted signals are adjusted to meet the requirement of grid-connected and determine the instruction of compensation power for battery.Finally, the cut-off frequency of original wind power is adjusted self-adaptively based on the state of charge (SOC) of battery and the instruction of compensation power of battery, and the high frequency component is compensated by super capacitor through fuzzy control.The simulation results show that the proposed strategy can smooth the fluctuation of wind power effectively, reduce the number of battery recycling greatly, ensure the smooth capacity of battery, avoid overcharging and over discharging, and extend the life of battery.关键词
混合储能/解析模态分解/改进布谷鸟/超短期功率预测/功率波动/自适应调节Key words
hybrid energy storage/AMD/ICSA/ultra-short-term wind power prediction/power fluctuation/adjusted self-adaptively分类
信息技术与安全科学引用本文复制引用
李燕青,袁燕舞,郭通,王子睿,仝年,史依茗..基于超短期风电功率预测的混合储能控制策略研究[J].电测与仪表,2017,54(15):50-57,8.基金项目
国家自然科学基金资助项目(51177047) （51177047）
