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
刘仲民 1王瑜 1高敬更 2王琨2
作者信息
- 1. 兰州理工大学电气工程与信息工程学院 兰州 730050
- 2. 国网甘肃省电力公司计量中心 兰州 730300
- 折叠
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.
Abstract
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.
关键词
储能系统/削峰填谷/系统容量/粒子群算法Key words
energy storage system/peak shaving and valley filling/system capacity/particle swarm algorithm引用本文复制引用
基金项目
国家电网甘肃省电力公司科技项目(52273118000Y)
出版年
2024
国家科技期刊平台
NSTL
万方数据