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锂电池储能用于削峰填谷优化配置方法研究

Research on Optimal Allocation Method of Lithium Battery Energy Storage Used in Peak Cutting and Valley Filling
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摘要 针对用户用电负荷不断增长,电网峰谷差进一步加大的问题,论文综合考虑削峰填谷效果和系统经济性,提出一种锂电池储能系统容量优化配置方法。首先,以储能系统综合成本最少和负荷标准差最小为优化目标,建立储能优化配置模型。其次,通过改进粒子群优化算法对模型进行求解,并使用负荷率作为评价指标对削峰填谷效果进行评估,得到综合成本和负荷标准差最优下储能系统最优配置容量。最后,结合某地区典型日负荷数据进行实验分析,结果表明,该模型在获得良好的削峰填谷效果的情况下系统具有一定的经济性,并且能够有效减少弃风弃光现象,从而提高电网整体运行效率。 In view of the increasing power load of users and the further increase of grid peak-valley difference,this paper com-prehensively considers the effect of peak shaving and valley filling and system economy,and proposes a method for optimizing the configuration of lithium battery energy storage system capacity.First of all,with the minimum overall cost of the energy storage sys-tem and the minimum load standard deviation as the optimization goals,an energy storage optimization configuration model is estab-lished.Second,the improved particle swarm optimization algorithm is used to solve the model,and the load rate is used as an evalu-ation index to evaluate the effect of peak shaving and valley filling,and the optimal configuration capacity of the energy storage sys-tem under the optimal comprehensive cost and load standard deviation is obtained.Finally,combined with the typical daily load da-ta of a certain area to carry out experimental analysis,the results show that the model has a certain economic efficiency under the condition that a good peak-shaving and valley-filling effect is obtained,and it can effectively reduce the phenomenon of abandon-ing wind and light,thereby improving the power grid overall operating efficiency.
作者 刘仲民 王瑜 高敬更 王琨 LIU Zhongmin;WANG Yu;GAO Jinggeng;WANG Kun(College of Electrical and Information Engineering,Lanzhou University of Technology,Lanzhou 730050;Measurement Center,State Grid Gansu Electric Power Company,Lanzhou 730300)
出处 《计算机与数字工程》 2024年第3期955-961,共7页 Computer & Digital Engineering
基金 国网甘肃省电力公司科技项目(编号:52273118000Y)资助。
关键词 储能系统 削峰填谷 系统容量 粒子群算法 energy storage system peak shaving and valley filling system capacity particle swarm algorithm
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