Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication

Yaxin Wang; Donglian Qi; Jianliang Zhang; Yulin Chen

doi:10.17775/CSEEJPES.2021.04360

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication

Regular Papers | 更新时间：2026-10-15

- Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication
- Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication
- 中国电机工程学会电力与能源系统学报(英文) 2024年10卷第6期页码：2333-2340
- 作者机构：
  
  1. China Electric Power Research Institute,Beijing,China
  2. College of Electrical Engineering, Zhejiang University,Hangzhou,China
  3. State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2021.04360
  中图分类号：
- 纸质出版：2024-11-01
- 稿件说明：
移动端阅览
Yaxin Wang, Donglian Qi, Jianliang Zhang, 等. Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(6):2333-2340.

Yaxin Wang, Donglian Qi, Jianliang Zhang, et al. Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2333-2340.
Yaxin Wang, Donglian Qi, Jianliang Zhang, 等. Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(6):2333-2340. DOI： 10.17775/CSEEJPES.2021.04360.

Yaxin Wang, Donglian Qi, Jianliang Zhang, et al. Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication[J]. CSEE Journal of Power and Energy Systems, 2024, 10(6): 2333-2340. DOI： 10.17775/CSEEJPES.2021.04360.

摘要

Abstract

Nowadays

high penetration of wind power is integrated into power grids

and WTs usually adopt the MPPT algorithm to maximize power output

which decouples the rotor speeds of wind turbines (WTs) and system frequency. Therefore

WTs cannot provide frequency support like conventional generators. To that end

especially avoiding WTs aggravating excessive power generation during over-frequency events

optimal droop control is proposed to reduce power output by fully utilizing WTs' own potential in accelerating rotors. Due to unreliable communication in a wind farm

a game theory-based distributed rotor kinetic energy optimization model is developed to obtain the ideal WT rotor speed and power reduction. Next

the optimal droop gains for WTs are designed to be proportional to their ideal power reduction. Then

not only the frequency support capability of WTs is fully activated

but also as much wind power as possible will be stored as kinetic energy into the accelerated rotor blades. Finally

the effectiveness and rationality of the proposed control are verified in MATLAB and DIgSILENT.

关键词

Keywords

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

Single-Cable Layout Boundary of Offshore Wind Turbines Considering Terminal Voltage Distribution

Data-Driven Dynamic Assessment of Wind Farm Frequency Characteristics Based on State Space Mapping

Bi-objective Layout Optimization for Multiple Wind Farms Considering Sequential Fluctuation of Wind Power Using Uniform Design

SSO Risk Evaluation for a Grid-connected PMSG-based Wind Farm Based on Sequential Monte Carlo Simulation

Dynamic Frequency Regulation of Wind Turbine Generators via Kinetic Energy Trajectory-Based Control