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《Power System Protection and Control》 2015-05
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An energy storage system smoothing control strategy based on sliding least square algorithm and battery SOC

XIE Tao;CAO Junwei;GAO Tian;LIAN Xiaoqin;DONG Liang;School of Computer and Information Engineering, Beijing Technology and Business University;Research Institute of Information Technology, Tsinghua University;Huadian Shandong Rushan New Energy Corporation;  
Output fluctuation of intermittent sources can be mitigated by coordinating with ESS(energy storage system) so that output stability can be improved. This paper proposes a real time control strategy for ESS based on sliding least square algorithm and SOC(state of charge). Output power can be determined by sliding least square algorithm. Combined with regulation of SOC and maximum fluctuation power limit, discharge depth of ESS can be effectively reduced during the smoothing control process. The simulation results show that compared with traditional filter algorithm based control strategy, the proposed control strategy can achieve less SOC fluctuation, largely reduce required ESS energy capacity and lengthen battery lifecycle with identical smoothing effectiveness.
【Fund】: 国家重点基础研究发展计划(2013CB228206);; 国家自然科学基金(61233016)~~
【CateGory Index】: TM921.5;TM910
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