Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication
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 t...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
China electric power research institute
2024-01-01
|
| Series: | CSEE Journal of Power and Energy Systems |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9878001/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850122122143203328 |
|---|---|
| author | Yaxin Wang Donglian Qi Jianliang Zhang Yulin Chen |
| author_facet | Yaxin Wang Donglian Qi Jianliang Zhang Yulin Chen |
| author_sort | Yaxin Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-39ce1897ec244d7e91dde2f3659046da |
| institution | OA Journals |
| issn | 2096-0042 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | China electric power research institute |
| record_format | Article |
| series | CSEE Journal of Power and Energy Systems |
| spelling | doaj-art-39ce1897ec244d7e91dde2f3659046da2025-08-20T02:34:55ZengChina electric power research instituteCSEE Journal of Power and Energy Systems2096-00422024-01-011062333234010.17775/CSEEJPES.2021.043609878001Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable CommunicationYaxin Wang0Donglian Qi1Jianliang Zhang2Yulin Chen3China Electric Power Research Institute,Beijing,China,100192College of Electrical Engineering, Zhejiang University,Hangzhou,China,310027College of Electrical Engineering, Zhejiang University,Hangzhou,China,310027University of Macau,State Key Laboratory of Internet of Things for Smart City,Macau,ChinaNowadays, 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.https://ieeexplore.ieee.org/document/9878001/Game theoryoptimal droop controlover-frequency supportunreliable communicationwind power generation |
| spellingShingle | Yaxin Wang Donglian Qi Jianliang Zhang Yulin Chen Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication CSEE Journal of Power and Energy Systems Game theory optimal droop control over-frequency support unreliable communication wind power generation |
| title | Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication |
| title_full | Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication |
| title_fullStr | Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication |
| title_full_unstemmed | Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication |
| title_short | Optimal Over-Frequency Droop Control for DFIG-Based Wind Farms Under Unreliable Communication |
| title_sort | optimal over frequency droop control for dfig based wind farms under unreliable communication |
| topic | Game theory optimal droop control over-frequency support unreliable communication wind power generation |
| url | https://ieeexplore.ieee.org/document/9878001/ |
| work_keys_str_mv | AT yaxinwang optimaloverfrequencydroopcontrolfordfigbasedwindfarmsunderunreliablecommunication AT donglianqi optimaloverfrequencydroopcontrolfordfigbasedwindfarmsunderunreliablecommunication AT jianliangzhang optimaloverfrequencydroopcontrolfordfigbasedwindfarmsunderunreliablecommunication AT yulinchen optimaloverfrequencydroopcontrolfordfigbasedwindfarmsunderunreliablecommunication |