摘要
针对混合储能系统容量优化的问题,以考虑风储微网中混合储能系统(Hybrid Energy Storage System,HESS)为研究对象,提出一种EMD-APSO配置模型。首先,根据蓄电池、超级电容器两种储能装置的特点建立等效电路模型;然后基于经验模态分解(Empirical Mode Decomposition,EMD)建立混合储能的容量优化配置模型,运用自适应粒子群算法(Adap-tive Particle Swarm Optimization,APSO)优化求解,得出最优分界点和储能容量配置结果。研究表明,所提出的优化配置方案较好,能满足风电并网要求,且达到储能利用效率和经济效益兼顾,实现了优化效果。
Aiming at the capacity optimization of hybrid energy storage system,this paper proposes an EMD-APSO configuration model by taking the hybrid energy storage system(Hybrid Energy Storage System,HESS)as the research object.First,the equivalent circuit model is established according to the characteristics of two energy storage devices of battery and supercapacitor;then the capacity optimized configuration model of hybrid energy storage is established based on empirical mode decomposition(Empirical Mode Decomposition,EMD),and the adaptive particle swarm algorithm(Adaptive Particle Swarm Optimization,APSO)is used to obtain the optimal demarcation point and energy storage capacity configuration results.The research shows that the optimal configuration scheme proposed in this paper is good,which can meet the requirements of wind power grid connection,and achieve both the energy storage utilization efficiency and economic benefits,and achieve the optimization effect.
作者
贾宏刚
岳园园
严欢
闫娜
曹强飞
JIA Honggang;YUE Yuanyuan;Yan Huan;YAN Na;CAO Qiangfei(State Grid Shaanxi Electric Power Company Limited Research Institute,Xi’an 710065,China)
出处
《自动化与仪器仪表》
2023年第10期282-287,共6页
Automation & Instrumentation
基金
陕西省电力有限公司科技项目《陕西电网“十四五”需求侧响应规划运行模式及关键技术研究》(5226JY200008)。
关键词
混合储能
EMD
自适应粒子群算法
优化配置模型
hybrid energy storage
EMD
adaptive particle swarm optimization
optimize the configuration model
