摘要
基于光伏电站的储能配置规划问题开展研究,首先建立了储能充放电寿命和新能源运行成本模型,其次提出了考虑储能系统全寿命周期约束和实际运行条件约束,以经济性目标为基础采用粒子群算法实现多目标优化计算,最后结合实际算例开展仿真计算与分析,验证了所提出方法能够实现光伏+储能电站的经济化运行并提高对光伏资源的利用率。
Based on the energy storage configuration planning of photovoltaic power stations,this paper first establishes the energy storage charging and discharging life and new energy operating cost models,then proposes to consider the life cycle constraints of the energy storage system and the constraints of actual operating conditions,and adopts particle swarm optimization algorithm to achieve multi-objective optimization calculation based on economic objectives.Finally,simulation calculation and analysis are carried out with practical examples.It is verified that the proposed method can realize the economical operation of photovoltaic+energy storage power station and improve the utilization rate of photovoltaic resources.
作者
张恒
王利锋
ZHANG Heng;WANG Lifeng(Information Industry Electronics 11th design and Research Institute Science and Technology Engineering Co.,Ltd.,Chengdu 610000,China;Ningxia branch of China Huadian Corporation Co.,Ltd.,Yinchuan 750001,China)
出处
《电气应用》
2024年第4期70-78,共9页
Electrotechnical Application
关键词
光伏电站
储能
粒子群算法
多目标优先
photovoltaic power station
energy storage
particle swarm optimization
multi-objective optimization
