Speed-Adaptive Droop Control for Doubly Fed Induction Generator-Based Gravity Energy Storage System

In order to ensure the reliable operation of a gravity energy storage system and reduce a converter’s cost and power rating, this paper proposes a gravity energy storage system (GESS) based on a doubly fed induction generator (DFIG). To address the issues of low inertia and limited grid-support capability, a speed-adaptive droop control strategy is introduced. The droop curve can be adjusted automatically according to the speed variation. Thereby, the GESS can effectively provide grid support through rotor-speed control. A simulation model of the DFIG-based GESS is developed in MATLAB/Simulink 2024b, and the grid-support capability of the proposed control strategy is verified under various operating conditions.

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Publication Details

Journal
Energies
Published
2025-10-29
DOI
https://doi.org/10.3390/en18215671
Primary Topic
Wind Turbine Control Systems
Type
article
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article

Speed-Adaptive Droop Control for Doubly Fed Induction Generator-Based Gravity Energy Storage System

Yuanshi Zhang, Yiqun Fan, Chenwen Cheng, Yan Li et al.
Energies
Wind Turbine Control Systems
article

Speed-Adaptive Droop Control for Doubly Fed Induction Generator-Based Gravity Energy Storage System

Yuanshi Zhang, Yiqun Fan, Chenwen Cheng, Yan Li, Fei Wang, Darui He, Chengjie Cao
article en

Abstract

In order to ensure the reliable operation of a gravity energy storage system and reduce a converter’s cost and power rating, this paper proposes a gravity energy storage system (GESS) based on a doubly fed induction generator (DFIG). To address the issues of low inertia and limited grid-support capability, a speed-adaptive droop control strategy is introduced. The droop curve can be adjusted automatically according to the speed variation. Thereby, the GESS can effectively provide grid support through rotor-speed control. A simulation model of the DFIG-based GESS is developed in MATLAB/Simulink 2024b, and the grid-support capability of the proposed control strategy is verified under various operating conditions.

EnergiesVol. 18(21)
Economic Research Institute (BG), Southeast University (CN)
Openalex Percentile: Top 69%
Wind Turbine Control Systems
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