基于动态调频潜力系数的超大型风电机组自适应虚拟惯量控制

韩璋; 田德; 林忠伟; 孟慧雯; 刘慧源

doi:doi:10.19912/j.0254-0096.tynxb.2025-0442

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

基于动态调频潜力系数的超大型风电机组自适应虚拟惯量控制

更新时间：2026-07-22

- 基于动态调频潜力系数的超大型风电机组自适应虚拟惯量控制
- Vol. 47, Issue 4, Pages: 432-437(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2025-0442
  CLC： TM614
- Online First：08 May 2026，
  
  Published：2026
- 稿件说明：
移动端阅览
韩璋, 田德, 林忠伟, et al. 基于动态调频潜力系数的超大型风电机组自适应虚拟惯量控制[J]. 2026, 47(4): 432-437.
DOI：

韩璋, 田德, 林忠伟, et al. 基于动态调频潜力系数的超大型风电机组自适应虚拟惯量控制[J]. 2026, 47(4): 432-437. DOI： doi:10.19912/j.0254-0096.tynxb.2025-0442.

摘要

针对超大型风电机组调频能力受运行状态动态约束的问题

提出基于动态调频潜力系数的自适应虚拟惯量控制（FPC-AVIC）。以IEA 15 MW直驱式风电机组为研究对象

定量评估其转子动能调频能力

揭示转子动能与变流器容量的动态耦合机理。通过定义动态调频潜力系数量化机组实时调频能力边界并设计自适应控制框架

动态调整调频贡献强度。进一步设计指数型转速恢复方法

抑制转速恢复阶段的功率突变。仿真结果表明：与比例-微分（PD）虚拟惯量控制相比

FPC-AVIC将频率二次跌落最低点从49.50 Hz提升至49.64 Hz;结合指数恢复方法后

机组功率与转速平滑过渡

系统频率恢复过程未出现明显二次跌落。

Abstract

To address the dynamic operational constraints limiting frequency modulation capabilities in super-large wind turbines

this study proposes a Dynamic Frequency Modulation Potential Coefficient-based Adaptive Virtual Inertia Control （FPC-AVIC）.Using the IEA 15 MW direct-drive wind turbine as a case study

we establish a quantitative evaluation framework for rotor kinetic energy's frequency regulation capacity while elucidating the dynamic coupling mechanism between rotor kinetic energy and converter capacity.Through the introduction of a dynamic frequency modulation potential coefficient

the real-time boundary of frequency modulation capability is systematically quantified

enabling the development of an adaptive control framework that dynamically adjusts frequency regulation contribution intensity. Additionally

an exponential speed recovery strategy is formulated to mitigate power transients during the speed restoration phase. Simulation results demonstrate that compared with PD virtual inertia control

the proposed FPC-AVIC elevates the secondary frequency dip nadir from 49.50 Hz to 49.64 Hz.When integrated with the exponential recovery strategy

the system achieves smooth power/speed transitions and eliminates observable secondary frequency drops during grid recovery processes.

关键词

Keywords

references

CHEN Y H, LIN H Y.Overview of the development of offshore wind power generation in China[J]. Sustainable energy technologies and assessments, 2022, 53: 102766.

严新荣, 张宁宁, 马奎超, 等. 我国海上风电发展现状与趋势综述[J]. 发电技术, 2024, 45(1): 1-12.

MORREN J, PIERIK J, DE HAAN S W H. Inertial response of variable speed wind turbines[J]. Electric power systems research, 2006, 76(11): 980-987.

SUN M, MIN Y, CHEN L, et al.Optimal auxiliary frequency control of wind turbine generators and coordination with synchronous generators[J]. CSEE journal of power and energy systems, 2021, 7(1): 78-85.

WANG S Q, TOMSOVIC K.Fast frequency support from wind turbine generators with auxiliary dynamic demand control[J]. IEEE transactions on power systems, 2019, 34(5): 3340-3348.

陈宇航, 王刚, 侍乔明, 等. 一种新型风电场虚拟惯量协同控制策略[J]. 电力系统自动化, 2015, 39(5): 27-33.

LIU K C, QU Y B, KIM H M, et al.Avoiding frequency second dip in power unreserved control during wind power rotational speed recovery[J]. IEEE transactions on power systems, 2018, 33(3): 3097-3106.

杨德健, 许益恩, 金朝阳, 等. 基于转矩极限的改进风电机组虚拟惯量控制策略[J]. 太阳能学报, 2023, 44(2): 80-86.

李腾辉, 李卫东, 申家锴, 等. 双馈风电机组利用转子动能进行一次调频能力动态估计[J]. 电力系统自动化, 2024, 48(10): 109-117.

潘文霞, 全锐, 王飞. 基于双馈风电机组的变下垂系数控制策略[J]. 电力系统自动化, 2015, 39(11): 126-131, 186.

GUO L, REN Y F, WANG Z G, et al.Double-layer feedback control method for synchronized frequency regulation of PMSG-based wind farm[J]. IEEE transactions on sustainable energy, 2021, 12(4): 2423-2435.

乔颖, 郭晓茜, 鲁宗相, 等. 考虑系统频率二次跌落的风电机组辅助调频参数确定方法[J]. 电网技术, 2020, 44(3): 807-815.

盛四清, 占志刚, 吴林林, 等. 考虑频率二次跌落的风电机组调频控制研究[J]. 太阳能学报2023, 44(8): 485-491.

劳焕景, 张黎, 宋鹏程, 等. 一种考虑最优状态动态恢复的风电持续调频策略[J]. 电网技术, 2020, 44(12): 4504-4512.

GAERTNER E, RINKER J, SETHURAMAN L, et al.Definition of the IEA wind 15-megawatt offshore reference wind turbine[R]. National Renewable Energy Laboratory, 2020.

KUNDUR P.Power system stability and control[M]. New York: McGraw-Hill, 1994.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

基于权衡频率极值点的风电频率支撑控制参数配置方法

基于虚拟阻抗与功率指令优化的构网型永磁风电机组故障穿越控制策略

RESEARCH ON FREQUENCY REGULATION CONTROL OF WIND TURBINES CONSIDERING SECONDARY FREQUENCY DROP

大型混塔式风电机组非线性动力响应分析

启动阶段风电齿轮箱行星轮径向-双向推力耦合滑动轴承瞬态润滑性能分析

Related Author

张超

文云峰

黎婧娴

李辉

张博

杜炜

罗曼丹

黄汉琦

Related Institution

School of Electrical and Electronic Engineering, North China Electric Power University

State Grid Hebei Electric Power Scientific Research Institute （North China Electric Power Scientific Research Institute Co., Ltd.）

Mingyang Smart Energy Group

Hainan Mingyang Smart Energy Co., Ltd.

School of Mechanical Engineering, Shenyang University of Technology

AI问答

⁰