考虑储能电池寿命影响的源网荷储协同调度策略  

Source-grid-load-storage Collaborative Scheduling Strategy Considering the Impact of Energy Storage Battery Life

作　　者：王晓慧 崔世界[1,2] 杨超 王悦 WANG Xiaohui;CUI Shijie;YANG Chao;WANG Yue(State Key Laboratory of Robotics,Shenyang Institute of Automation,Chinese Academy of Sciences,Shenyang 110016,China;Key Laboratory of Networked Control Systems,Chinese Academy of Sciences,Shenyang 110016,China;University of Chinese Academy of Sciences,Beijing 100049,China;State Grid Liaoning Electric Power Company Limited,Shenyang 110006,China;Liaoning Provincial Meteorological Equipment Support Center,Shenyang 110166,China)

机构地区：[1]中国科学院沈阳自动化研究所机器人学国家重点实验室,沈阳110016 [2]中国科学院网络化控制系统重点实验室,沈阳110016 [3]中国科学院大学,北京100049 [4]国网辽宁省电力有限公司,沈阳110006 [5]辽宁省气象装备保障中心,沈阳110166

出　　处：《电力电容器与无功补偿》2025年第2期37-43,72,共8页Power Capacitor & Reactive Power Compensation

基　　金：国家自然科学基金(92267205)。

摘　　要：本文提出了一种基于双层优化模型的源网荷储协同调度策略,在最小化园区内负荷用电成本的同时延长储能电池的使用寿命。上层优化模型通过分时电价对能源供给进行调度,调度风光发电、储能电池和电网之间的能量流动。下层优化模型则基于遗传算法,针对每块储能电池的充放电行为进行调度,最小化电池寿命衰减。实验结果表明,所提出的双层优化模型在购电成本和电池寿命管理方面均表现出优越性,相比传统的单目标优化方法或基于规则的单层调度策略,能有效提高系统经济效益和系统稳定性。该研究为能源管理系统在实际园区的应用提供了一个高效的调度框架,具有重要的理论意义和实际应用价值。In this paper,a source-grid-load-storage(SGLS)cooperative scheduling strategy based on a doublelayer optimization model is proposed with purpose of minimizing the electricity cost for loads in parks while extending the life time of energy storage battery. The upper-payer optimization model schedules energy supply throughtime-of-useelectricity pricing,coordinates the energy flow among wind power,photovoltaic generation,energy storage batteries and the grid. The lower-layer optimization model is based on a genetic algorithm,schedules the charging and discharging behavior of each energy storage battery to minimize life degradation of battery. The experimental results show that the proposed double-layer optimization model exhibits superior performance in both electricity purchasing cost and battery lifespan management. The model,compared to traditional single-objective optimization methods or rule-based single-layer scheduling strategies,can effectively enhance system economic efficiency and system stability. This research has provided an efficient scheduling framework for the application of energy management systems in practical parks,offering significant theoretical and practical value.

关 键 词：电池寿命 经济成本 双层调度 策略优化 

分 类 号：TM73[电气工程—电力系统及自动化]