Scheduling strategy of electric energy storage system considering multiple time-of-use electricity prices and potential benefit

被引：0
|
作者：
Yang H. [1 ]
Shi R. [1 ]
Ma Y. [1 ]
Ma J. [2 ]
Shen Y. [2 ]
机构：
[1] Anhui Province Key Laboratory of Renewable Energy Utilization and Energy Saving, Hefei University of Technology, Hefei
[2] Institute of Economy and Technology, State Grid Anhui Electric Power Co., Ltd., Hefei
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2021年 / 41卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Electric energy storage system; Particle swarm optimization algorithm; Potential benefit; Scheduling strategy; Time-of-use electricity prices;
D O I：
10.16081/j.epae.202108006
中图分类号：
学科分类号：
摘要：
The grid-connection of electric ESS(Energy Storage System) has many advantages in ensuring the safe and stable operation of power system. The implementation of ESS scheduling strategy can realize peak-load shifting and obtain economic benefits from it. Under different TOU(Time-Of-Use) electricity prices, the economic benefits of ESS scheduling strategy are often different. Therefore, it is of great significance to quantitatively study the potential benefit of ESS scheduling strategy under different TOU electricity prices to improve the overall economic benefits of power system. The potential benefit evaluation model of ESS scheduling strategy considering multiple TOU electricity prices is established to quantify the economic benefits of ESS scheduling strategy under multiple TOU electricity prices. Taking the actual load data of a certain place in 2018 as the analysis object, the improved particle swarm optimization algorithm is adopted to verify the validity of the proposed ESS scheduling strategy. The analysis results show that the proposed potential benefit evaluation model of ESS scheduling strategy is of practical value to improve the economic benefits of power system. © 2021, Electric Power Automation Equipment Press. All right reserved.
引用
收藏
页码：130 / 137
页数：7
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