基于储能实时修正双环控制的微电网能量管理方法  

Energy Management Method for Microgrid Based on Real-time Corrected Double-loop Control of Energy Storage

作　　者：贾科 林瑶琦 陈奕汝 毕天姝 刘搏晗 JIA Ke;LIN Yaoqi;CHEN Yiru;BI Tianshu;LIU Bohan(State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources （North China Electric Power University）, Beijing 102206, China;State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China;State Grid AC Project Construction Co. Ltd., Beijing 100052, China)

机构地区：[1]新能源电力系统国家重点实验室(华北电力大学),北京市102206 [2]国网浙江省电力公司电力科学研究院,浙江省杭州市310014 [3]国家电网交流建设公司,北京市100052

出　　处：《电力系统自动化》2018年第14期131-138,共8页Automation of Electric Power Systems

基　　金：国家重点研发计划资助项目(2016YFB0900203);国家自然科学基金资助项目(51725702)~~

摘　　要：提升各类可再生能源(RES)高效并网发电是应对全球环境恶化、能源短缺的有效方法。但各类能源的出力特性不同,如何有效分配使用各类能源是目前微电网需要解决的主要问题。针对此问题,采用冷热电联产(CCHP)与储能系统相结合的运行方式,利用优化算法分层控制微型燃气轮机出力和储能系统的充放电功率,综合协调光伏、风电、微型燃气轮机输出和用户负荷需求,解决能源出力和负荷需求分布不对等问题,实现RES高效使用。其中,针对储能系统充放电控制,提出一种基于预测数据实时修正的能量管理方法,可以减小预测误差对储能系统充放电控制的干扰,提高能量管控的灵活性。实测数据试验结果显示,与固定阈值法和自适应算法相比,所提算法在充分利用各类能源基础上有效起到了削减负荷峰值的作用,减小冲击负荷对电网的影响,实现了能源的经济、优化利用。Utilization of the renewable energy source（RES）can address the environmental degradation and energy shortage problems.However,due to the different output characteristics of each energy source,how to efficiently use and allocate all kinds of energy is one of the major problems of current microgrid.An operation system combining the combined cooling,heating and power（CCHP）system and the energy storage system is designed.The output of micro-turbines and charging and discharging power of energy storage system are hierarchically controlled by the optimal algorithm.The output and load demand are regulated by the integrated coordination of photovoltaic,wind turbines and micro-turbines.It can solve the non-equivalent problem of the RES output and the load demand to realize the effective utilization of RES.In addition,apredicted data based real-time corrected power management algorithm is proposed to control the dispatch power of the energy storage system.The algorithm can reduce the disturbance resulted from the forecasting error and improve the flexibility of the energy management.Tested by the on-site measured data,this method shows the advantages in smoothing the load demand,especially in shaving the electric vehicles load demand compared with the conventional fixed threshold method and adaptive intelligence technique,and realizes the economic and optimal utilization of energy.

关 键 词：可再生能源 冷热电联产 微型燃气轮机 实时修正储能控制 

分 类 号：TM727[电气工程—电力系统及自动化]