Preventive control method for transient stability of power system with wind power based on hybrid improved grey wolf algorithm

Authors

• Songkai Liu, College of Electrical Engineering and New Energy ， China Three Gorges University ， Yichang 443002， China;Hubei Provincial Collaborative Innov ation Center for New Energy Microgrid ， Yichang 443002， China
• Yifan Zhao, College of Electrical Engineering and New Energy ， China Three Gorges University ， Yichang 443002， China;Hubei Provincial Collaborative Innov ation Center for New Energy Microgrid ， Yichang 443002， China
• Lei Zhang, College of Electrical Engineering and New Energy ， China Three Gorges University ， Yichang 443002， China;Hubei Provincial Collaborative Innov ation Center for New Energy Microgrid ， Yichang 443002， ChinaFollow
• Wenpei Ding, College of Electrical Engineering and New Energy ， China Three Gorges University ， Yichang 443002， China;Hubei Provincial Collaborative Innov ation Center for New Energy Microgrid ， Yichang 443002， China
• Yukun Ai, College of Electrical Engineering and New Energy ， China Three Gorges University ， Yichang 443002， China;Hubei Provincial Collaborative Innov ation Center for New Energy Microgrid ， Yichang 443002， China
• Yuheng Wu, College of Electrical Engineering and New Energy ， China Three Gorges University ， Yichang 443002， China;Hubei Provincial Collaborative Innov ation Center for New Energy Microgrid ， Yichang 443002， China
• Biqing Ye, College of Electrical Engineering and New Energy ， China Three Gorges University ， Yichang 443002， China;Hubei Provincial Collaborative Innov ation Center for New Energy Microgrid ， Yichang 443002， China

Keywords

preventive control, power system, grey wolf optimization algorithm, stacked ensemble, transient stability

Abstract

To address the influence of large-scale wind power generation on power system stability, a new preventive control method for the transient stability of power systems was proposed. Firstly, the expression of wind power output was established based on the Weibull distribution. Secondly, in a system containing wind power, energy storage, and flexible load, taking the lowest adjustment cost as the objective function, a transient stability estimator based on a stacked ensemble deep belief network was used as the transient stability constraint to construct a preventive control model. Finally, to solve the problems of insufficient population diversity and easy trapping into local optima in the traditional grey wolf optimization algorithm, a hybrid improved grey wolf algorithm combining artificial fish swarm foraging behavior and a quadratic interpolation method was constructed. The simulation results on the IEEE 39-bus and IEEE 68-bus systems show that the proposed model and method can reduce the preventive control cost of wind power grid-connected systems and provide a guarantee for transient stability operation.

DOI

10.19781/j.issn.1673-9140.2026.03.002

First Page

15

Last Page

26

Recommended Citation

Liu, Songkai; Zhao, Yifan; Zhang, Lei; Ding, Wenpei; Ai, Yukun; Wu, Yuheng; and Ye, Biqing (2026) "Preventive control method for transient stability of power system with wind power based on hybrid improved grey wolf algorithm," Journal of Electric Power Science and Technology: Vol. 41: Iss. 3, Article 2.
DOI: 10.19781/j.issn.1673-9140.2026.03.002
Available at: https://jepst.researchcommons.org/journal/vol41/iss3/2