上海交通大学学报

上海交通大学学报

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考虑惯量安全需求的风电场控制参数优化方法(网络首发)

  

  1. 1. 深圳供电局有限公司；2. 湖南大学电气与信息工程学院
  • 基金资助:
    南方电网有限责任公司科技项目（090000KK52222151）； 国家自然科学基金（52077066）

Frequency Control Parameters Optimization of Wind Farms Considering Inertia Security Requirement

  1. 1. Shenzhen Power Supply Co., Ltd., Shenzhen 518000, Guangdong, China; 2. College of Electrical and Information Engineering, Hunan University, Changsha 410082, China

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摘要： 高比例新能源电力系统惯量和调频资源匮乏，存在较为突出的频率稳定问题。针对该问题，将风电场潜在频率支撑能力纳入电网频率控制措施，提出了一种考虑惯量安全需求的风电场控制参数优化方法。事故发生后，首先根据频率安全限值，在线计算满足暂态频率稳定的系统惯量和调频需求，形成惯量安全约束。其次，对风电场在不同风况下的惯量和调频能力进行建模，以事故后对应风况下风电场虚拟惯量和频率下垂参数调整量最小为目标，建立风电场频率控制参数的动态优化模型；最后，解算频率控制参数，基于改进的IEEE RTS-79系统进行算例测试。结果表明，所提参数优化方法有效地改善了风电场暂态频率响应过程，有助于提升高比例新能源电力系统频率稳定裕度。

关键词: 风电场, 频率稳定, 惯量安全需求, 虚拟惯量, 下垂参数

Abstract: The inertia and frequency regulation resources in high proportion of renewable energy power systems are scarce, resulting in prominent frequency stability issue. In response, this paper incorporates the potential frequency support capability of wind farms into the frequency control measures of the power grid, and proposes an optimization method for wind farm control parameters that considers the security requirements of system inertia. After the credible disturbance, based on the transient frequency index limit, calculate the system inertia security requirement that meets the frequency stability constraint at first. Then, model the primary frequency regulation capability that wind farms can provide under different wind conditions, with the goal of minimizing the adjustment of wind farm virtual inertia and frequency droop parameters under disturbances, and establish a dynamic optimization model for wind farm frequency control parameters; Finally, calculate the frequency control parameters and conduct numerical tests were conducted on the modified IEEE RTS-79 system, and the results showed that the proposed parameter optimization method effectively improved the transient frequency response process of wind farms, and helped to enhance the frequency stability margin of the system.

Key words: wind farm, frequency stability, inertia security requirement, virtual inertia, droop parameter

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