“双碳”目标下共享储能多场景递进规划优化  

Multi-Scenario Progressive Planning Optimization of Shared Energy Storage Under Dual-Carbon Goals

作　　者：张婷 马裕泽 乌云娜[2,3] ZHANG Ting;MA Yuze;WU Yunna(School of Economics Management,Hebei University of Technology,Tianjin 300132,China;School of Economics and Management,North China Electric Power University,Beijing 102206,China;State Key Laboratory of New Energy Power System(North China Electric Power University),Beijing 102206,China)

机构地区：[1]河北工业大学经济管理学院,天津市300132 [2]华北电力大学经济与管理学院,北京市102206 [3]新能源电力系统国家重点实验室(华北电力大学),北京市102206

出　　处：《电力建设》2025年第1期134-146,共13页Electric Power Construction

基　　金：国家自然科学基金青年项目(72303057);河北省教育厅青年拔尖人才项目(BJK2023115);河北省自然科学基金青年项目(G202302009);河北省社会科学基金青年项目(HB23GL029)。

摘　　要：碳中和目标引导下,共享储能规划优化已成为解决以新能源为主体的新型电力系统供电波动性与供需不匹配性的关键问题。在深入分析新型电力系统典型灵活性调节资源的物理特性、状态表征函数及成本收益模型的基础上,以系统灵活性调节需求特征分析为指引,以社会灵活性调节福利最大化为目标,提出了锂电池-超级电容器共享储能系统在多灵活性调节资源协同下平抑波动、削峰填谷、缓解输配电线路阻塞与延缓电网升级改造、减少弃风弃光、实现供需平衡、降低切负荷六种场景的运行策略与多时域递进规划优化模型及其求解方法,从而更好地服务于新型电力系统的动态建设。算例结果表明,所提模型可提高风光消纳水平,并有效降低系统灵活性调节成本。Guided by the goal of carbon neutrality,the optimization of shared energy-storage planning has become key for solving(i)the volatility and uncertainty of power supply for new power systems with new energy as the main body and(ii)the mismatch with user demands.Therefore,based on a comprehensive analysis of the physical characteristics,operation characterization function,and cost-benefit model of typical flexibility-regulation resources of new power systems,this study performs a characteristic analysis of system flexibility-regulation demand as guidance and aims to maximize the social welfare of flexibility regulation.The operation strategy and progressive planning-optimization model for six scenarios of lithium battery-supercapacitor shared energy-storage system under the coordination of multiple flexible-regulation resources,such as smoothing fluctuations,peaking and valley filling,alleviating transmission and distribution circuit congestion and delaying grid upgrading,reducing wind and power rejection,achieving supply-and-demand balance,and reducing load cutting,are proposed.Additionally,a scientific and effective solution method is proposed to facilitate the dynamic construction of new power systems.Numerical results show that the proposed model can improve the absorption level of renewable energy and effectively reduce the system flexibility-adjustment cost.

关 键 词：共享储能 递进规划优化 多灵活性资源协同 多场景分析 新型电力系统 

分 类 号：TM715[电气工程—电力系统及自动化]