电力系统自动化2026，Vol.50Issue(16)：21-32,12.DOI:10.7500/AEPS20250722001
面向中长期电力供需平衡的季节性储热建模与优化规划方法
Modeling and Optimal Planning Method for Seasonal Thermal Storage Towards Medium-and Long-term Electricity Supply-Demand Balance
摘要
Abstract
High proportion of renewable energy and low-carbon electrification of end-use energy have become critical features in the evolution of the supply-demand dynamics in the future new power systems.However,the seasonal mismatch contradiction between clean heating demand and renewable energy output has become increasingly severe.This paper focuses on achieving long-term thermal storage through seasonal thermal storage technology to facilitate large-scale accommodation of renewable energy and cross-seasonal utilization of renewable thermal energy.First,a refined seasonal thermal storage model for the optimal planning is established to describe the time-varying heat-loss characteristics of thermal storage tanks across seasons.On this basis,the established seasonal thermal storage model is embedded into the power planning problem to achieve optimal configuration of seasonal thermal storage within the system.Finally,a modified HRP-38-bus test system is used to analyze and validate the effectiveness of the proposed modeling method,and the role of seasonal thermal storage in enhancing renewable energy accommodation and renewable heating is discussed.关键词
新型电力系统/新能源/季节性储热/供热/电力供需平衡/优化规划/精细化模型Key words
new power system/renewable energy/seasonal thermal storage/heating/electricity supply-demand balance/optimal planning/refined model引用本文复制引用
罗嘉骏,姜海洋,兰焮尧,王佳昕,苏运,杜尔顺,张宁..面向中长期电力供需平衡的季节性储热建模与优化规划方法[J].电力系统自动化,2026,50(16):21-32,12.基金项目
国家重点研发计划资助项目(2022YFB2403300) （2022YFB2403300）
国网上海市电力公司科技项目(SGSHDK00DWJS2310470) （SGSHDK00DWJS2310470）
国家自然科学基金资助项目(72242105). This work is supported by National Key R&D Program of China(No.2022YFB2403300),State Grid Shanghai Electric Power Company(No.SGSHDK00DWJS2310470),and National Natural Science Foundation of China(No.72242105). （72242105）
