含压缩空气的微网复合储能系统主动控制策略  

An Active Control Strategy for Composited Energy Storage with Compressed Air Energy Storage in Micro-Grid

作　　者：严毅[1] 张承慧[1] 李珂[1] 田崇翼[1] 王帆 Yan Yi;Zhang Chenghui;Li Ke;Tian Chongyi;Wang Fan(School of Control Science and Engineering Shandong University Jinan 250061 China)

机构地区：[1]山东大学控制科学与工程学院,济南250061

出　　处：《电工技术学报》2017年第20期231-240,共10页Transactions of China Electrotechnical Society

基　　金：国家自然科学基金重大国际(地区)合作研究项目(61320106011);国家自然科学基金项目(61573223)资助

摘　　要：提出一种含压缩空气的复合储能系统在交直流混合微网中的主动控制策略。首先,充分考虑工程实践中对于精度与运算速度的要求,采用基于最优裁剪极限学习机与支持向量回归机的组合预测算法实现对分布式电源输出功率的多时间尺度预测,并在此基础上设计复合储能日前调度。其次,运用经验模式分解的方法将复合储能日前调度分解为若干个本征模态分量,建立基于储能循环寿命与荷电状态(SOC)平衡的目标函数,并利用瞬时频率理论将各本征模态分量优化重构,从而得到超级电容、蓄电池和压缩空气储能的目标输出功率。最后,基于某风电场数据所建立的仿真算例表明,本方法能够在综合考虑储能运行成本与SOC平衡的基础上,将储能与分布式电源视为整体,并主动调度其输出功率,从而有效提升微网系统的能量利用率和经济效益。This article discusses an active control strategy for composited energy storage system(CESS)with compressed air energy storage(CAES)in AC-DC hybrid micro-grid.Firstly,considering the requirements of accuracy and computing speed in engineering practice,a combined prediction method based on OP-ELM and SVR is applied to implement multi-time scale prediction for output power of distributed generation(DG).Accordingly,the day-ahead scheduling of CESS is schemed.Furthermore,the day-ahead scheduling of CESS is decomposed into several IMFs using empirical mode decomposition(EMD).Each IMF is analyzed by the theory of instantaneous frequency so that the objective function based on energy storage cycle life and SOC balance is built up.All IMFs are reorganized into three groups.Lastly,a real data based simulation validates the effectiveness of the proposed strategy.It is shown that this strategy can consider the power of DG and CESS as a whole and regulate its output power actively on the basis of optimizing the cycling life and the SOC balance of energy storage,thus effectively improving the energy utilization ratio as well as economic benefits.

关 键 词：复合储能 主动控制 组合模型预测 经验模式分解 压缩空气储能 

分 类 号：TM727[电气工程—电力系统及自动化]