含压缩空气的微网复合储能系统主动控制策略

发布时间：2018-04-19 20:32

本文选题：复合储能 + 主动控制　；参考：《电工技术学报》2017年20期

【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。
[Abstract]:An active control strategy for a composite energy storage system with compressed air in AC / DC hybrid microgrids is presented. Firstly, considering the requirements of precision and operation speed in engineering practice, a combined prediction algorithm based on optimal clipping limit learning machine and support vector regression machine is used to predict the output power of distributed power generation in multiple time scales. On this basis, the complex energy storage before day scheduling is designed. Secondly, the method of empirical mode decomposition is used to decompose the pre-day scheduling of composite energy storage into several intrinsic mode components, and the objective function based on the equilibrium of energy storage cycle life and charged state is established. Based on the instantaneous frequency theory, the intrinsic mode components are optimized and reconstructed to obtain the target output power of super capacitor, battery and compressed air energy storage. Finally, a simulation example based on the data of a wind farm shows that the proposed method can take energy storage and distributed power supply as a whole on the basis of considering the balance of energy storage operation cost and SOC, and actively dispatch its output power. In order to effectively improve the energy utilization and economic efficiency of the microgrid system.
【作者单位】：山东大学控制科学与工程学院;
【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
【分类号】：TM727

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