基于风电功率预测的复合储能超前优化控制策略

发布时间：2018-03-13 19:36

本文选题：功率预测　切入点：优化策略　出处：《电力系统自动化》2015年23期 　论文类型：期刊论文

【摘要】：超短期风电功率预测的可靠性及精度均逐步提升,文中将其引入风电场复合储能系统(HESS)控制过程,并利用预测功率信息提出了HESS超前优化控制策略。通过相邻充放电区间时长的概率分布统计,确定预测信息的时长区间,并将其作为优化控制策略中的超前控制时间区间;通过分析影响HESS运行效率的主要约束,构建了高效的HESS充放电控制策略;以荷电状态偏移方差最小为目标函数,构建HESS各存储介质同步启动情况下的优化控制模型,并考虑充放电功率和容量限值约束,获取未来时间区间HESS介质的充放电功率控制模式;最后,给出了求解算法和实现步骤。以实际风电场运行数据进行算例分析,计算结果表明本文所提方法可有效实现HESS的高效控制,具有一定实际应用价值。
[Abstract]:The reliability and precision of ultra-short term wind power prediction are improved step by step. In this paper, it is introduced into the control process of wind farm composite energy storage system (HESS). Using the predictive power information, the paper puts forward the HESS advanced optimal control strategy. Through the probability distribution statistics of the adjacent charge and discharge interval, the time interval of the prediction information is determined, and it is regarded as the advanced control time interval in the optimal control strategy. By analyzing the main constraints that affect the efficiency of HESS, an efficient HESS charge and discharge control strategy is constructed, and the optimal control model of HESS storage media under synchronous start-up is constructed with the minimum variance of charge state deviation as the objective function. Considering the limit of charge and discharge power and capacity, the charge and discharge power control mode of HESS medium in the future time interval is obtained. Finally, the algorithm and implementation steps are given. The calculation results show that the proposed method can effectively realize the efficient control of HESS, and has certain practical application value.
【作者单位】：电网智能化调度与控制教育部重点实验室(山东大学);国网青海省电力公司电力科学研究院;
【基金】：国家自然科学基金资助项目(51307101,51177091) 山东省优秀中青年科学家科研奖励基金资助项目(BS2013NJ011) 青海省光伏发电并网技术重点实验室项目(2014-Z-Y34A)~~
【分类号】：TM614

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