储能
抽蓄发电
氢气储存
电网储能
计算机数据存储
可再生能源
计算机科学
电力转天然气
间歇式能源
灵活性(工程)
比例(比率)
峰值需求
储存效率
功率(物理)
可靠性工程
环境科学
分布式发电
工程类
电气工程
电
数学
数据库
材料科学
化学
合金
物理化学
物理
统计
电解
电解质
复合材料
操作系统
量子力学
电极
作者
Tianliang Yao,Julong Huang,Zhiwei Li,Qiao Liu,Jialiang Li,Kai Jiang,Xiaohe Yan,Nian Liu
标识
DOI:10.1109/icpsasia55496.2022.9949642
摘要
With the increasing expansion of renewables, energy storage plays a more significant role in balancing the contradiction between energy supply and demand over both short and long time scales. However, the current energy storage planning scheme ignores the coordination of different energy storage over different time scales in the planning. This paper forces the unified energy storage planning scheme considering a multi-time scale at the city level. The battery energy storage, pumped hydro storage and hydrogen energy storage are considered to meet the power balance on the daily scale, monthly scale and annual scale. To minimize the total cost of energy storage, the capacity and outputs of energy storage are determined. With unified storage models, mixed-integer programming is applied to integrate the multiple time scale storage operation in the planning. The proposed planning scheme considers the trade-off between the flexibility and the cost of different types of energy storage. The results show that pumped hydro storage can undertake a large amount of power contradiction. The battery energy storage and the hydrogen energy storage meet the short-term and long-term energy imbalance respectively.
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