中国电机工程学报2024，Vol.44Issue(10)：3815-3823,中插6,10.DOI:10.13334/j.0258-8013.pcsee.223275
低温环境下考虑电池寿命的微电网优化调度
Optimal Scheduling of Microgrid Considering Battery Lifetime in Low-temperature Environment
摘要
Abstract
As a crucial part of microgrids,an energy storage system provides a solution for microgrids to coordinate energy supply and demand.However,in the low-temperature environment,the rapid decay of battery lifetime in the energy storage system seriously affects the economy and security of the system.Therefore,this paper proposes a mixed integer model of microgrid optimal scheduling considering battery life under a low-temperature environment to simulate the microgrid optimal scheduling process and efficiently calculate the energy storage charging and discharging plan.First,based on the Arrhenius equation,the mechanism of battery life affected in the low-temperature environment is analyzed.Then,the aging model of the battery in the whole temperature range is established by using the battery life equation considering the charge-discharge times and discharge depth.Finally,a life decay model considering battery self-heating and full temperature range is constructed,and the model is transformed and simplified by using the method of feasible region salient pole combination,thereby avoiding the challenge of nonlinear items in the model that often leads to the inability to obtain a global optimal solution.The example verification and comparative analysis show that the model proposed in this paper can reduce the system operation cost,slow down the battery decay rate,and extend the battery life nearly twice in the low-temperature environment.关键词
电池储能/电池寿命/低温环境/微电网优化调度/可行域Key words
battery storage/battery life/low-temperature environment/microgrid optimal dispatching/operating region分类
动力与电气工程引用本文复制引用
丁佳昀,胡秦然,吴在军,钱涛,侯凯..低温环境下考虑电池寿命的微电网优化调度[J].中国电机工程学报,2024,44(10):3815-3823,中插6,10.基金项目
国家自然科学基金项目(52277086,51907026) （52277086,51907026）
江苏省重点研发计划项目(BE2020081-2).Project Supported by National Natural Science Foundation of China(52277086,51907026) （BE2020081-2）
Key R&D Program of Jiangsu Province(BE2020081-2). （BE2020081-2）
