LQR control based on GA optimization for suppressing power oscillations in fractional-order VSG

Authors

• Jun Zhu, School of Electrical Engineering and Automation ， Henan Polytechnic University ， Jiaozuo 454003， China;Henan Key Laboratory of Intelligent Detection and Control of Coal Mine Equipment ， Jiaozuo 454003， ChinaFollow
• Zhengbin Chen, School of Electrical Engineering and Automation ， Henan Polytechnic University ， Jiaozuo 454003， China
• Jiantang Chen, Henan Vavo Electric Co .， Ltd.， Xuchang 461000， China
• Haozhuo Wei, School of Electrical Engineering and Automation ， Henan Polytechnic University ， Jiaozuo 454003， China
• Penghui Liu, School of Electrical Engineering and Automation ， Henan Polytechnic University ， Jiaozuo 454003， China
• Ming Yang, School of Electrical Engineering and Automation ， Henan Polytechnic University ， Jiaozuo 454003， China

Keywords

virtual synchronous generator, genetic algorithm, linear quadratic regulator, fractional-order calculus, oscillation suppression

Abstract

A linear quadratic regulator (LQR) optimized based on the genetic algorithm (GA) was designed to suppress power oscillations in a virtual synchronous generator (VSG) under external disturbances. A state-feedback LQR controller was designed by establishing a small-signal model of the VSG power loop. To optimize the control performance, the GA was used to perform offline optimization of the weight-matrix parameters of LQR. The weight-optimized LQR control law was applied to the fractional-order VSG. The simulation results show that, compared with traditional VSG control, the proposed control strategy can effectively suppress power oscillations, reducing the oscillation overshoots of active and reactive power by 19.1% and 28.3%, respectively, during dynamic operation, and shortening the oscillation process by 2.1 s.

DOI

10.19781/j.issn.1673-9140.2026.03.027

First Page

295

Last Page

306

Recommended Citation

Zhu, Jun; Chen, Zhengbin; Chen, Jiantang; Wei, Haozhuo; Liu, Penghui; and Yang, Ming (2026) "LQR control based on GA optimization for suppressing power oscillations in fractional-order VSG," Journal of Electric Power Science and Technology: Vol. 41: Iss. 3, Article 27.
DOI: 10.19781/j.issn.1673-9140.2026.03.027
Available at: https://jepst.researchcommons.org/journal/vol41/iss3/27