Modeling of Power Support Capability and Frequency Coordinated Control of DFIG-Based Wind Farm Considering Coupling Constraints of Multi-State Variables

The operational states of wind turbines are different in large-scale wind farms, which presents serious challenges to the frequency control of power systems. The doubly fed induction generator-based wind turbine (DFIG) can be coordinated to participate in frequency control by altering the rotational kinetic energy. The coordinated control of wind farms is usually conditioned by the accurate assessment of the power support capability (PSC) of DFIG. However, the assessment mainly focuses on the influence of single variables such as wind speed and rotor speed. The coupling constraints of rotor speed, pitch angle and rotor current on the PSC are ignored. The PSC of wind farms is still difficult to accurately assess and fully utilize. Therefore, the power characteristics of DFIG under dynamic variations of mechanical power are analyzed. The PSC of DFIG considering the coupling constraints of multi-state variables is modeled. Then the assessment method of PSC considering the coupling constraints of rotor speed, pitch angle and rotor current is proposed. The allocation method of the contribution of DFIG considering different operational states of DFIG is proposed, and the frequency coordinated control method of DFIG-based wind farm is proposed. The effectiveness of the proposed method is verified by case studies.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Sustainable Energy
Published
2024-12-23
DOI
https://doi.org/10.1109/tste.2024.3521509
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modeling of Power Support Capability and Frequency Coordinated Control of DFIG-Based Wind Farm Considering Coupling Constraints of Multi-State Variables

Shoudong Xu, Jinxin Ouyang, Shuqi Bi, Jianfeng Yu
IEEE Transactions on Sustainable Energy
Power Systems and Renewable Energy
article

Modeling of Power Support Capability and Frequency Coordinated Control of DFIG-Based Wind Farm Considering Coupling Constraints of Multi-State Variables

Shoudong Xu, Jinxin Ouyang, Shuqi Bi, Jianfeng Yu
article en

Abstract

The operational states of wind turbines are different in large-scale wind farms, which presents serious challenges to the frequency control of power systems. The doubly fed induction generator-based wind turbine (DFIG) can be coordinated to participate in frequency control by altering the rotational kinetic energy. The coordinated control of wind farms is usually conditioned by the accurate assessment of the power support capability (PSC) of DFIG. However, the assessment mainly focuses on the influence of single variables such as wind speed and rotor speed. The coupling constraints of rotor speed, pitch angle and rotor current on the PSC are ignored. The PSC of wind farms is still difficult to accurately assess and fully utilize. Therefore, the power characteristics of DFIG under dynamic variations of mechanical power are analyzed. The PSC of DFIG considering the coupling constraints of multi-state variables is modeled. Then the assessment method of PSC considering the coupling constraints of rotor speed, pitch angle and rotor current is proposed. The allocation method of the contribution of DFIG considering different operational states of DFIG is proposed, and the frequency coordinated control method of DFIG-based wind farm is proposed. The effectiveness of the proposed method is verified by case studies.

IEEE Transactions on Sustainable EnergyVol. 16(3)
Chongqing University (CN), China Southern Power Grid (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Power Systems and Renewable Energy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.