上海交通大学学报 ›› 2025, Vol. 59 ›› Issue (9): 1292-1303.doi: 10.16183/j.cnki.jsjtu.2023.474

• 新型电力系统与综合能源 • 上一篇    下一篇

考虑动态频率约束和多重不确定性的风电装机容量优化

叶婧1,2, 何杰辉1,2, 张磊1,2(), 蔡俊文1,2, 林宇琦1,2, 谢继豪1,2   

  1. 1 三峡大学 电气与新能源学院, 湖北 宜昌 443002
    2 梯级水电站运行与控制湖北省重点实验室, 湖北 宜昌 443002
  • 收稿日期:2023-09-18 修回日期:2023-11-20 接受日期:2023-12-04 出版日期:2025-09-28 发布日期:2025-09-25
  • 通讯作者: 张 磊,副教授,博士生导师;E-mail:leizhang3188@163.com.
  • 作者简介:叶 婧(1986—),讲师,从事大规模新能源接入后电力系统运行与控制等研究.
  • 基金资助:
    国家自然科学基金(52007103);新型电力系统运行与控制全国重点实验室资助课题(SKLD23KM18)

Optimization of Installed Wind Power Capacity Considering Dynamic Frequency Constraints and Multiple Uncertainties

YE Jing1,2, HE Jiehui1,2, ZHANG Lei1,2(), CAI Junwen1,2, LIN Yuqi1,2, XIE Jihao1,2   

  1. 1 College of Electrical Engineering and New Energy, China Three Gorges University, Yichang 443002, Hubei, China
    2 Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, Yichang 443002, Hubei, China
  • Received:2023-09-18 Revised:2023-11-20 Accepted:2023-12-04 Online:2025-09-28 Published:2025-09-25

摘要:

随着风电装机容量不断增加,新型电力系统的频率安全问题愈发凸显.为了保障系统频率安全和提高系统调频能力,确定合理的风电装机规模,提出一种考虑动态频率约束以及负荷侧惯量的风电装机容量优化模型.首先,推导出含负荷侧惯量的动态频率响应模型;其次,考虑到风电、负荷以及负荷侧惯量具有不确定性,引入模糊机会约束,在计及动态频率约束的基础上,提出一种考虑多重不确定性模糊机会约束的风电装机容量优化模型,并将模型中的不确定性约束清晰等价类转换;最后,为了解决动态频率约束非线性特征问题,将优化问题分割成主问题和子问题进行求解,并以改进的10机系统验证所提模型的有效性和可行性.

关键词: 动态频率约束, 负荷侧惯量, 模糊机会约束, 多重不确定性, 风电装机容量优化

Abstract:

As the installed capacity of wind power continues to increase, the frequency security of new power system becomes increasingly significant. To guarantee the frequency security of the system, improve the frequency regulation capability of the system, and determine an optimal wind power installed capacity, a wind power installed capacity optimization model considering dynamic frequency constraints as well as load-side inertia is proposed. First, the dynamic frequency response model with load-side inertia is derived. Then, fuzzy opportunity constraints are introduced considering the uncertainty of wind power, load, and load-side inertia. Taking into account the dynamic frequency constraints, the model incorporates multiple uncertainty fuzzy opportunity constraints, in which the uncertainty constraints are clearly converted into equivalence classes. Finally, to address the dynamic frequency-constrained nonlinear characteristic, the optimization problem is partitioned into a main problem and sub-problems for solution. The validity and feasibility of the proposed model are validated by using an improved 10-machine system.

Key words: dynamic frequency constraints, load-side inertia, fuzzy chance constraints, multiple uncertainties, optimization of installed wind power capacity

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