Quantitative Assessment and Analysis of Influencing Factors on Frequency Regulation Capability of Wind Farms Considering Typical Control

RUAN Yimin; ZONG Qihang; YAO Wei; ZHOU Hongyu; ZHANG Xinhao; WEN Jinyu

doi:10.7500/AEPS20231218004

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Quantitative Assessment and Analysis of Influencing Factors on Frequency Regulation Capability of Wind Farms Considering Typical Control

Control Theory and Application of Inertia-Power-Frequency in New Power System | 更新时间：2025-06-16

- Quantitative Assessment and Analysis of Influencing Factors on Frequency Regulation Capability of Wind Farms Considering Typical Control
- Automation of Electric Power Systems Vol. 48, Issue 8, Pages: 42-52(2024)
- 作者机构：
  
  强电磁工程与新技术国家重点实验室（华中科技大学），湖北省武汉市 430074
- 作者简介：
- 基金信息：
  
  National Key R&D Program of China(2022YFB4202304)
- DOI：10.7500/AEPS20231218004
  CLC：
- Received：18 December 2023，
  
  Revised：2024-02-26，
  
  Published Online：25 March 2024，
  
  Published：25 April 2024
- 稿件说明：
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阮益闽,宗启航,姚伟等.计及典型控制的风电场调频能力量化评估及影响因素分析[J].电力系统自动化,2024,48(8):42-52.

RUAN Yimin,ZONG Qihang,YAO Wei,et al.Quantitative Assessment and Analysis of Influencing Factors on Frequency Regulation Capability of Wind Farms Considering Typical Control[J].Automation of Electric Power Systems,2024,48(8):42-52.
阮益闽,宗启航,姚伟等.计及典型控制的风电场调频能力量化评估及影响因素分析[J].电力系统自动化,2024,48(8):42-52. DOI： 10.7500/AEPS20231218004.

RUAN Yimin,ZONG Qihang,YAO Wei,et al.Quantitative Assessment and Analysis of Influencing Factors on Frequency Regulation Capability of Wind Farms Considering Typical Control[J].Automation of Electric Power Systems,2024,48(8):42-52. DOI： 10.7500/AEPS20231218004.

摘要

为尽可能充分利用风电场支撑功率，避免资源浪费，有必要量化评估风电场的调频能力。然而，风电场调频能力缺乏定义且难以评估，运行参数及边界约束对支撑能力的影响机理不明。为此，定义了多时间尺度、多能量形式、多评估层次的指标，从而精准量化评估调频能力。基于所提评估指标，通过分析风电场运行参数对调频能力的作用机理，揭示了转速是低风速和低减载工况下的主要影响因素，而载荷与容量是高风速和高减载工况下的主要影响因素等结论。进一步，提出了基于非线性规划模型的方法对评估指标进行精确计算。最后，对四机两区域系统中下垂和减载控制下的单机聚合风电场进行了算例分析，验证了所提评估指标的合理性和评估方法的准确性，以及关键影响因素分析结论的正确性。

Abstract

To maximize the use of the support power of wind farms and avoid the resource wastage

it is necessary to quantitatively assess the frequency regulation capability of the wind farm. However

the assessment of frequency regulation capability of the wind farm lacks a clear definition and is difficult to be assessed

and the mechanism of the impact of operational parameters and boundary constraints on support capability is unclear. To address this

indicators across multiple time scales

energy forms

and assessment levels are defined

which can accurately quantify the assessment of frequency regulation capability. Based on the proposed assessment indicators

by analyzing the mechanism of how operational parameters of wind farm affect frequency regulation capability

it is revealed that the rotational speed is the main influencing factor under low wind speed and low load shedding conditions

while load and capacity are the main influencing factors under high wind speed and high load shedding conditions. Furthermore

a method based on a nonlinear programming model is proposed for the precise calculation of assessment indicators. Finally

a case study analysis of a single-machine aggregated wind farm under droop and load shedding control in a four-machine two-area system validates the rationality of the proposed assessment indicators and the accuracy of the assessment method

as well as the correctness of the conclusions of the key influencing factor analysis.

关键词

Keywords

references

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