Reactive power dispatch method for wind farms based on dynamic weight adjustment of electrical distance and reactive power capacity

To meet the requirements of real-time reactive power dispatch in wind farms, the method based on equal ratio of reactive power capacity is widely used, because it does not need power flow modeling and iterative solution. However, this method may cause the wind turbines (WT) with a long electrical distance to allocate too much reactive power, resulting in the terminal voltage exceeding the limit. Therefore, this paper proposes a reactive power allocation method based on dynamic weight adjustment of inverter capacity and electrical distance. First, the impact of WT power output on the voltage of each node in the system at different electrical distances was analyzed. Then, establish a reactive power dispatch model that takes the remaining capacity of the converter and electrical distance factors into account, and the weight coefficient between the two is dynamically adjusted based on voltage deviation by combining the idea of disturbance observation, achieve rapid distribution of reactive power commands without relying on detailed power flow modeling of the system. Finally, a 5 MW*25 wind farm case is used to verify the proposed method. The results show that the proposed method can effectively reduce the voltage deviation by more than 30% under the same reactive power scheduling instruction, and can improve the reactive power utilization of the wind farm.

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Publication Details

Journal
Sustainable Energy Research
Published
2025-03-20
DOI
https://doi.org/10.1186/s40807-025-00155-1
Primary Topic
Wind Turbine Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Reactive power dispatch method for wind farms based on dynamic weight adjustment of electrical distance and reactive power capacity

Ruixiao Zhang, Xiaohu Li, Guodong Wu, Hongtao Tan et al.
Sustainable Energy Research
Wind Turbine Control Systems
article

Reactive power dispatch method for wind farms based on dynamic weight adjustment of electrical distance and reactive power capacity

Ruixiao Zhang, Xiaohu Li, Guodong Wu, Hongtao Tan, Guangqing Bao
article en

Abstract

To meet the requirements of real-time reactive power dispatch in wind farms, the method based on equal ratio of reactive power capacity is widely used, because it does not need power flow modeling and iterative solution. However, this method may cause the wind turbines (WT) with a long electrical distance to allocate too much reactive power, resulting in the terminal voltage exceeding the limit. Therefore, this paper proposes a reactive power allocation method based on dynamic weight adjustment of inverter capacity and electrical distance. First, the impact of WT power output on the voltage of each node in the system at different electrical distances was analyzed. Then, establish a reactive power dispatch model that takes the remaining capacity of the converter and electrical distance factors into account, and the weight coefficient between the two is dynamically adjusted based on voltage deviation by combining the idea of disturbance observation, achieve rapid distribution of reactive power commands without relying on detailed power flow modeling of the system. Finally, a 5 MW*25 wind farm case is used to verify the proposed method. The results show that the proposed method can effectively reduce the voltage deviation by more than 30% under the same reactive power scheduling instruction, and can improve the reactive power utilization of the wind farm.

Sustainable Energy ResearchVol. 12(1)
Southwest Petroleum University (CN), State Grid Corporation of China (China) (CN), Lanzhou University of Technology (CN), Shanghai Electric (China) (CN)
State Grid Corporation of China
Affordable and clean energy
Openalex Percentile: Top 96%
Wind Turbine Control Systems
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Reactive power dispatch method for wind farms based on dynamic weight adjustment of electrical distance and reactive power capacity — Ruixiao Zhang, Xiaohu Li, et al. · Sustainable Energy Research (2025) | TGRS Research Map | TGRS