Two-stage Day-ahead and Intra-day Rolling Optimization Scheduling Considering Joint Peak Regulation of Generalized Energy Storage and Thermal Power

被引：0

作者：

Cui Y. ^{[1
]}

Zhou H. ^{[1
]}

Zhong W. ^{[2
]}

Hui X. ^{[3
]}

Zhao Y. ^{[1
]}

机构：

[1] Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin

[2] State Key Laboratory of Power Grid Safety and Energy Conservation, China Electric Power Research Institute, Haidian District, Beijing

[3] Weifang Power Supply Company, State Grid Shandong Electric Power Company, Weifang

来源：

Dianwang Jishu/Power System Technology | 2021年 / 45卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Generalized energy storage; Thermal power peak regulation; Two-phase peak regulation; Wind power;

D O I：

10.13335/j.1000-3673.pst.2020.0206

中图分类号：

学科分类号：

摘要：

As the scale of grid connection of new energy sources such as wind power continues to increase, their volatility and uncertainty have brought huge challenges to the system peak regulation. In order to improve the peak regulation capacity, a two-stage day-ahead and intra-day rolling optimization scheduling considering joint peak regulation of generalized energy storage and thermal power units is constructed in this paper. Firstly, the model considers the demand side flexible loads and the actual energy storage as generalized energy storage resources. It makes full use of its rapid peak regulation capability and participates in the peak regulation of the power system in cooperation with thermal power units. This model presents the advantages of reducing the peak-valley difference of the system, enhancing the system's peak regulation sensitivity and lowering the peak regulation pressure of the thermal power units. Secondly, in order to deal with the uncertain factors of the system at different dispatching stages, a two-stage rolling peak shaving model is developed, which fully exploits the distribution characteristics and the peak shading potentials of various types of generalized energy storage resources at different time scales. Cooperating with the thermal power units, this model can achieve coordinated scheduling of various resources, increase the consumption of new energy in the system, and reduce the operating cost of the system. Finally, an IEEE 39-node system is used as an example to verify the effectiveness of the model proposed in this paper. © 2021, Power System Technology Press. All right reserved.

引用

页码：10 / 19

页数：9

共 20 条

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