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作 者:赵昕昕 夏向阳[1] 曾小勇[1] 李新海 杨明圣 黄智 王志兴 ZHAO Xinxin;XIA Xiangyang;ZENG Xiaoyong;Li Xinhai;YANG Mingsheng;HUANG Zhi;WANG Zhixing(School of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China;School of Metallurgy and Environment, Central South Universty, Changsha 410083, China)
机构地区:[1]长沙理工大学电气与信息工程学院,湖南长沙410114 [2]中南大学冶金与环境学院,湖南长沙410083
出 处:《中国电力》2019年第5期104-112,共9页Electric Power
基 金:国家自然科学基金资助项目(51307009)~~
摘 要:目前普遍应用的直流操作电源是由铅酸蓄电池供电,环保性较差、对高频装置响应速度较慢。针对这些问题,采用一种新型混合储能直流电源系统,其储能装置由锂电池和超级电容器构成,并提出一种基于超级电容器SOC的动态限制锂电池功率的混合储能能量管理策略。通过混合粒子群优化算法(PSO-NM)以降低锂电池的瞬时功率为目标离线求解全局最优解,有效提高了锂电池的使用寿命。最后,通过MATLAB/Simulink仿真验证了该方法的有效性,实验测试证明新型直流操作电源响应速度快,供电更加可靠稳定。DC operation power source is commonly supplied by lead-acid batteries. This method is characterized by slow response speed to high-frequency equipment and environmental contamination. To deal with this problem, the paper proposes a novel hybrid DC power supply system, which consists of lithium batteries and super conductors. A novel energy management strategy, which uses the SOC feedback of the superconductor to limit the power output of the lithium battery, is also presented. The proposed energy management strategy, which is achieved by particle swarm optimization (initially proposed by Nelder Mead), can effectively reduce the instantaneous power output of the lithium battery, thus extending the life span of the equipment. The validity of the proposed approach is demonstrated and verified by Matlab/Simulink and field experiment. Experimental results suggest that the response speed is fast when the proposed strategy is adopted, thus indicating good reliability and engineering value.
关 键 词:直流操作电源 锂电池 超级电容 储能系统 混合粒子群算法 功率限制
分 类 号:TM76[电气工程—电力系统及自动化]
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