Open Access

ARTICLE

ESVG Adaptive Control Method for Fast Frequency Support of Wind Farm

Yong Sun¹, Haifeng Zhang^1,2, Xiaozhe Song¹, Yifu Zhang^1,2, Song Gao^1,2, Jiayang Zhang^3,*

1 State Grid Jilin Electric Power Co., Ltd., Changchun, 130021, China
2 State Grid Jilin Electric Power Research Institute, Changchun, 130021, China
3 School of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, China

* Corresponding Author: Jiayang Zhang. Email:

(This article belongs to the Special Issue: AI-application in Wind Energy Development and Utilization)

Energy Engineering 2025, 122(5), 1863-1885. https://doi.org/10.32604/ee.2025.061940

Received 06 December 2024; Accepted 19 February 2025; Issue published 25 April 2025

Abstract

Aiming at the problems of large fluctuation of output active power and poor control performance in the process of frequency support of an energy-storage-type static-var-generator (ESVG), the adaptive adjustment control method for its active-loop parameters is used to realize the wind-farm frequency support, which has become the current research hotspot. Taking the ESVG with a supercapacitor on the DC side as the research object, the influence trend of the change of virtual rotation inertia and virtual damping coefficient on its virtual angular velocity and power angle is analyzed. Then, the constraint relationship between the equivalent virtual inertia time constant of the supercapacitor and the virtual rotation inertia of the ESVG is clarified. Then, combined with the second-order response characteristics of the ESVG power control loop, the selection principles of the frequency modulation coefficient, the virtual rotation inertia, and the virtual damping coefficient are determined. An ESVG adjustment control method, considering the adaptive adjustment of the active loop parameters of the supercapacitor equivalent inertia, is proposed. While ensuring the frequency support capability of the ESVG, the fluctuation degree of its output active power and the virtual angular velocity are suppressed, and the proposed adjustment method also improves the stability of the ESVG control system and the frequency support capability for the wind farm. Finally, the simulation verifies the correctness of the theoretical analysis and the effectiveness of the proposed strategy.

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Keywords

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