Quantitative Model and Case Study of Energy Storage Demand Supporting Clean Transition of Electric Power System

被引:0
作者
Xiao J. [1 ,2 ]
Hou J. [1 ,2 ]
Du E. [3 ]
Jin C. [1 ,2 ]
Zhou Y. [1 ,2 ]
Kang C. [3 ]
机构
[1] Global Energy Interconnection Development and Cooperation Organization, Beijing
[2] Global Energy Interconnection Group Co., Ltd., Beijing
[3] Department of Electrical Engineering, Tsinghua University, Beijing
来源
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2021年 / 45卷 / 18期
基金
中国国家自然科学基金;
关键词
Energy storage; Energy transition; Global energy interconnection; Long-term energy storage;
D O I
10.7500/AEPS20200407004
中图分类号
学科分类号
摘要
At present, the research on energy storage demand mostly focuses on the configuration of energy storage devices, such as electrochemical cells with short discharging time in specific application scenarios, and there is a lack of research on the planning method of system-level energy storage demand and the impact on the overall cost. Aiming at the characteristics of two different types of short-time and long-time energy storage, a quantitative analysis model and a method with the optimization goal of the lowest system comprehensive cost are established. The system-level energy storage demand considering three key factors, namely, the capacity, the structure, and the cost is quantitatively analyzed. The energy storage planning is solved jointly with the power supply planning problem through the mixed integer optimization. Taking Europe, the world and China as examples, the energy storage type, installed capacity and acceptable cost of energy storage to support the clean energy transition of power system are analyzed. The results show that the short-time energy storage which is only represented by the lithium battery cannot meet all the system requirements of the scenarios with high proportion of renewable energy in the future, and the long-time energy storage will gradually play a significant role in the deep clean transition after 2035. © 2021 Automation of Electric Power Systems Press.
引用
收藏
页码:9 / 17
页数:8
相关论文
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