摘要
针对多站融合规划配置过程中未全面考虑储能电池健康状态和寿命特性的问题,提出一种适用于多站融合场景的光伏储能(以下简称“光储”)优化配置方法。首先,分析多站融合的运行模式;然后采用雨流计数法计算复杂充放电过程中储能的充放电深度,并构建储能循环寿命和健康状态的变化模型;接着以全寿命周期内的经济效益为目标,构建光储容量优化配置模型,提出多站融合场景下的光储协调运行控制策略;最后,通过算例分析验证所提配置方法的有效性。算例结果表明,计及储能寿命特性和健康状态的配置策略,能够综合考虑储能的充放电深度和储能寿命、储能容量的衰减,更符合储能电站全寿命周期内的实际运行情况。
Aiming at the problem that the health status and life characteristics of energy storage batteries are not fully considered in the process of multi-station integration planning and configuration,a joint configuration method of photovoltaic and energy storage suitable for multi-station integration scenarios is proposed.Firstly,this paper analyzes the operation mode of multi-station integration,and then based on the rain current counting method,it calculates the charge-discharge depth of the energy storage during the complex charge-discharge process and constructs the change model of the energy storage cycle life and health state.Afterwards,the paper constructs a photovoltaic and energy storage capacity optimization configuration model aiming at economic benefits during the whole life cycle,and proposes a control strategy for the coordinated operation of photovoltaic and energy storage in a multi-station integration scenario.Finally,the validity and advancement of the proposed configuration method are verified through the analysis of examples.The simulation analysis results show that it is able to comprehensively consider the charge-discharge depths,the energy storage life and capacity attenuation by taking into account of the configuration strategy of energy storage life characteristics and health state,which is more in line with the actual operation of the energy storage power station during the life cycle.
作者
郑瑞春
王焕忠
李钦豪
伍伟慧
ZHENG Ruichun;WANG Huanzhong;LI Qinhao;WU Weihui(Guangdong Nanhai Electric Power Design Institute Engineering Co.,Ltd.,Foshan,Guangdong 528200,China)
出处
《广东电力》
2021年第10期50-57,共8页
Guangdong Electric Power
基金
国家自然科学基金项目(51777077)
关键词
多站融合
储能健康状态
储能寿命特性
光储优化配置
multi-station integration
health status
life characteristic
optimal configuration of photovoltaic and energy storage
