上海交通大学学报

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考虑动态频率约束和多重不确定性的风电装机容量优化(网络首发)

  

  1. 1. 三峡大学电气与新能源学院;2. 梯级水电站运行与控制湖北省重点实验室
  • 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

  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

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 the new power system becomes more and more prominent. In order to guarantee the system frequency security and improve the system frequency regulation capability, and to determine a reasonable wind power installed size, 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; Secondly, considering the uncertainty of wind power, load and load-side inertia, fuzzy opportunity constraints are introduced, and on the basis of taking into account the dynamic frequency constraints, a wind power installed capacity optimization model considering multiple uncertainty fuzzy opportunity constraints is proposed, and the uncertainty constraints in the model are clearly converted into equivalence classes; Finally, in order to solve the dynamic frequency-constrained nonlinear characteristic problem, the optimization problem is partitioned into the main problem and sub-problems for solving, and the improved 10-machine system is used to verify the validity and feasibility of the proposed model.

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

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