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
收藏
页码：2394 / 2403
页数：9
相关论文
共 26 条
  • [11] MA Xin, WU Han, MIAO Ankang, Spatial correlation analysis and prediction of offshore wind farm output based on DCC-GARCH[J], Electric Power Automation Equipment, 43, 6, pp. 116-123, (2023)
  • [12] GUAN Lin, ZHOU Baorong, WEN Bo, Spatiotemporal correlation statistic modeling and simulation in multiple wind farm power sequence[J], Power System Technology, 45, 1, pp. 30-38, (2021)
  • [13] Zhengyang HU, Bingtuan GAO, Yongheng MAO, Nonlinear model predictive control-based active power dispatch strategy for wind power plant considering dynamic wake effect[J], International Journal of Electrical Power & Energy Systems, 148, (2023)
  • [14] ZHANG Zhi, ZHOU Ming, ZHU Lingzhi, Robust optimal operation method of wind farms synergetic participation in generation-reserve in power systems[J], Power System Technology, 46, 4, pp. 1316-1325, (2022)
  • [15] Xue LYU, Youwei JIA, Zhao XU, A novel control strategy for wind farm active power regulation considering wake interaction[J], IEEE Transactions on Sustainable Energy, 11, 2, pp. 618-628, (2020)
  • [16] XUE Yusheng, CHEN Ning, WANG Shumin, Review on wind speed prediction based on spatial correlation[J], Automation of Electric Power Systems, 41, 10, pp. 161-169, (2017)
  • [17] YE Lin, ZHAO Yongning, A review on wind power prediction based on spatial correlation approach[J], Automation of Electric Power Systems, 38, 14, pp. 126-135, (2014)
  • [18] HU Shuai, XIANG Yue, SHEN Xiaodong, Wind power prediction model considering meteorological factor and spatial correlation of wind speed[J], Automation of Electric Power Systems, 45, 7, pp. 28-36, (2021)
  • [19] DONG Yaguang, LI Fengting, WANG Sen, Energy storage coordinated operation strategy of new energy stations and collection stations by tracking planned output[J], Power System Technology, 47, 4, pp. 1579-1588, (2023)
  • [20] GAN Wei, AI Xiaomeng, FANG Jiakun, Coordinated optimal operation of the wind，coal，hydro，gas units with energy storage[J], Transactions of China Electrotechnical Society, 32, S1, pp. 11-20, (2017)
123