Optimal Scheduling Method of Offshore Wind Farm Groups With Energy Storage Considering Power Time Shift Between Adjacent Offshore Wind Farms

被引：0

作者：

Zhu C. ^{[1
]}

Bian X. ^{[1
]}

Zang Y. ^{[2
]}

Yang X. ^{[3
]}

Zhang Y. ^{[3
]}

Xu L. ^{[1
]}

机构：

[1] College of Electrical Engineering, Shanghai University of Electric Power, Yangpu District, Shanghai

[2] Hanting Branch, Weifang Power Supply Company, States Grid Shandong Electric Power Company, Shandong Province, Weifang

[3] Electric Power Research Institute, State Grid Shanghai Municipal Electric Power Company, Hongkou District, Shanghai

来源：

Dianwang Jishu/Power System Technology | 2024年 / 48卷 / 06期

基金：

中国国家自然科学基金;

关键词：

energy storage; offshore wind farm group; optimal scheduling; power time shift between adjacent wind farms; power tracking;

D O I：

10.13335/j.1000-3673.pst.2023.1146

中图分类号：

学科分类号：

摘要：

The power time-shift ability between adjacent offshore wind farms due to the wake effect can provide an effective support for offshore wind farm groups to participate in the active power optimization scheduling of the power grid. An optimal scheduling method of offshore wind farm groups with energy storage considering the time shift of inter-site power is proposed in this paper. Firstly, the power tracking requirements of a wind farm group are quantified based on the power forecasting of the offshore wind farm group and the active power scheduling plan of the power grid. Considering the wind speed propagation time, the power time-shift model between wind farms is established, and the power time-shift ability between the wind farms is used to participate in grid scheduling. Energy storage is coordinated to further track the scheduling plan for the output deviation. Then, in order to minimize the operation cost of the system, the optimal scheduling model of the joint energy storage of the offshore wind farm group considering the power time shift between the farms is constructed. Finally, an actual offshore wind farm group with the energy storage system is taken as an example for simulation verification. The results show that the proposed method is able to effectively reduce the energy storage scheduling cost, and achieve the tracking of offshore wind farms to the grid active power scheduling plan by using the ability of power time shift between the adjacent offshore wind farms. © 2024 Power System Technology Press. All rights reserved.

引用

页码：2394 / 2403

页数：9

共 26 条

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