An adaptive virtual inertial damping control for wind farm integrated energy storage system

Authors

Nianguang ZHOU, Research Institute of Economic and Technology， State Grid Hunan Electric Power Co., Ltd., Changsha 410004， China
Xintao XIE, Research Institute of Economic and Technology， State Grid Hunan Electric Power Co., Ltd., Changsha 410004， China; Hunan Engineering Research Center of Large‑scale Battery Energy Storage Application Technology, Changsha 410114， China
Junjie MA, College of Electrical and Information Engineering, Hunan University, Changsha 410012， China; Hunan Engineering Research Center of Large‑scale Battery Energy Storage Application Technology, Changsha 410114， ChinaFollow
Haifeng YU, Research Institute of Economic and Technology， State Grid Hunan Electric Power Co., Ltd., Changsha 410004， China; Hunan Engineering Research Center of Large‑scale Battery Energy Storage Application Technology, Changsha 410114， China
Yong LI, College of Electrical and Information Engineering, Hunan University, Changsha 410012， China; Hunan Engineering Research Center of Large‑scale Battery Energy Storage Application Technology, Changsha 410114， China
Yuzheng XIE, Research Institute of Economic and Technology， State Grid Hunan Electric Power Co., Ltd., Changsha 410004， China

Keywords

battery energy storage;wind farm integrated energy storage system;frequency stability;virtual synchronous generator control;self-adaptive control

Abstract

In this paper, an adaptive virtual inertial-damping control method of battery energy storage for maximum wind power point tracking is proposed to increase the frequency stability of wind farms. First, adjustment coefficients of both the inertia control parameter and damping parameter are introduced to the virtual synchronous control strategy. Then, the value range of both control parameters is given by small signal analysis. Finally, based on the combined wind and storage system, the effectiveness of the control method proposed in this paper is verified when facing different types of faults. The results show that compared with the traditional virtual synchronous control method, the proposed method can significantly improve the frequency stability of the merging points, and realize the adaptive smooth adjustment of inertia and damping.

DOI

10.19781/j.issn.1673-9140.2024.03.017

First Page

150

Last Page

158

Recommended Citation

ZHOU, Nianguang; XIE, Xintao; MA, Junjie; YU, Haifeng; LI, Yong; and XIE, Yuzheng (2024) "An adaptive virtual inertial damping control for wind farm integrated energy storage system," Journal of Electric Power Science and Technology: Vol. 39: Iss. 3, Article 17.
DOI: 10.19781/j.issn.1673-9140.2024.03.017
Available at: https://jepst.researchcommons.org/journal/vol39/iss3/17