上海交通大学学报

上海交通大学学报

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风机虚拟惯量有效支撑能力的量化评估方法

  

  1. 1. 上海电力大学 电气工程学院，上海 200090；

    2. 国家电网有限公司 华东分部，上海 200120
  • 作者简介:李东东（1976—），教授，博士生导师，研究方向为电力系统建模分析与运行控制、风力发电系统、电力电子技术在电力系统中的应用等.
  • 基金资助:

    国家自然科学基金项目(52377111)

Quantitative Evaluation Method for Effective Support Capability of Virtual Inertia of Wind Turbine

  1. 1. College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China；

    2. East China Branch, State Grid Corporation of China, Shanghai 200120, China

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摘要： 风机向系统提供虚拟惯量，能够有效地提高电力系统的惯量水平。但定量评估风机虚拟惯量有效支撑能力的问题有待深入研究。为此，文中提出一种风机虚拟惯量有效支撑能力的量化评估方法。首先，构建含风机的电力系统频率响应(system frequency response, SFR)模型，通过与传统电力系统SFR模型对比提出惯量效能因子的概念，从频率响应指标的角度建立风机虚拟惯量与同步机惯量的对应关系。其次，考虑风机虚拟惯量的控制参数及响应延时等影响因素，提出惯量效能因子的表达方法，进而推导出风机虚拟惯量有效支撑能力的评估表达式。最后仿真验证了本文所提方法的有效性。

关键词: 风电机组, 虚拟惯量, 频率响应, 支撑能力, 惯量效能

Abstract: The wind turbine provides virtual inertia to the system, which can effectively improve the inertia level of the power system. However, the problem of quantitative evaluation of the effective support capability of the virtual inertia of the wind turbine needs to be further studied. Therefore, this paper proposes a quantitative evaluation method for the effective support capability of virtual inertia of wind turbine. Firstly, the system frequency response (SFR) model of power system with wind turbine is constructed. By comparing with the traditional SFR model of power system, the concept of inertia efficiency factor is proposed, and the corresponding relationship between virtual inertia of wind turbine and inertia of synchronous machine is established from the perspective of frequency response index. Secondly, considering the influence factors such as the control parameters and response delay of the virtual inertia of the fan, the expression method of the inertia efficiency factor is proposed, and then the evaluation expression of the effective support capability of the virtual inertia of the wind turbine is derived. Finally, the simulation verifies the effectiveness of the proposed method.

Key words: wind turbine generators, virtual inertia, frequency response, support capability, inertia efficiency

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