市场条件下新能源大基地储能规划双层经济性分析方法  

Economic Method for Energy Storage Planning of Large New Energy Bases in the Electricity Spot Market

作　　者：易海琼 赵朗 李一铮 吴启亮 禹海峰 周专 王梓怡 刘思宇[5] 舒隽[5] YI Haiqiong;ZHAO Lang;LI Yizheng;WU Qiliang;YU Haifeng;ZHOU Zhuan;WANG Ziyi;LIU Siyu;SHU Jun(State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209,China;Economic and Technical Research Institute,State Grid Hubei Electric Power Co.,Ltd.,Wuhan 430077,China;Economic and Technological Research Institute,State Grid Hunan Electric Power,Changsha 410004,China;State Grid Xinjiang Electric Power Co.,Ltd.,Urumqi 830063,China;School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]国网经济技术研究院有限公司,北京市102209 [2]国网湖北电力有限公司经济技术研究院,武汉市430077 [3]国网湖南电力有限公司经济技术研究院,长沙市410004 [4]国网新疆电力有限公司,乌鲁木齐市830063 [5]华北电力大学电气与电子工程学院,北京市102206

出　　处：《电力建设》2025年第3期95-103,共9页Electric Power Construction

基　　金：国家电网有限公司总部科技项目(5100-202356418A-3-2-ZN)。

摘　　要：在新能源大基地建设持续推进的背景下,考虑新能源大基地对受端电力现货市场运行的影响,提出了一种市场条件下新能源大基地储能规划双层经济性分析模型。该模型的下层是以安全约束机组组合和经济调度为核心的受端长周期电力现货市场仿真模型,上层为以新能源大基地收入最大为目标的新能源大基地优化调度模型。考虑到该双层模型的复杂性,采用交替迭代的方法进行求解。在此基础上,用投资回收年限分析了配置不同类型储能对新能源大基地经济性的影响,并对储能的容量进行规划。用一个实际电网算例验证模型和算法的有效性,其中压缩空气电池对新能源大基地收益提升效果最明显,2 h锂电池的投资回收成本最低,且1 000 MW左右为最佳容量。With the continuous advancement of new energy base construction,it is crucial to consider the impact of these bases on the operation of the receiving-end electricity spot market.This paper proposes a two-layer economic analysis model for energy storage planning in new energy bases under market conditions.The lower layer of the model simulates the long-term electricity spot market at the receiving end,integrating security-constrained unit commitment and economic dispatch as core components.The upper layer focuses on the optimal scheduling model of the new energy base with the objective of maximizing its revenue.Given the complexity of the two-layer model,an alternating iteration method is employed to solve the problem.On this basis,the economic impact of different energy storage types on new energy bases is analyzed through payback period assessments,leading to optimal energy storage capacity planning.The effectiveness of the proposed model and algorithm is validated through a practical grid case study,which demonstrates that compressed air batteries have the most significant impact on enhancing the revenue of large-scale new energy bases.Meanwhile,2-hour lithium batteries exhibit the lowest investment payback cost,and an energy storage capacity of approximately 1000 MW is found to be optimal.

关 键 词：新能源基地 安全约束经济调度 电力现货市场 储能规划经济性 

分 类 号：TM734[电气工程—电力系统及自动化]