Interaction Mechanism and Oscillation Characteristics of Grid-Connected Concentrating Solar Power–Battery Energy Storage System–Wind Hybrid Energy System

Solar thermal concentrating solar power (CSP) plants have attracted growing interest in the field of renewable energy generation due to their capability for large-scale electricity generation, high photoelectric conversion efficiency, and enhanced reliability and flexibility. Meanwhile, driven by the rapid advancement of power electronics technology, extensive wind farms (WFs) and large-scale battery energy storage systems (BESSs) are being increasingly integrated into the power grid. From these points of view, grid-connected CSP–BESS–wind hybrid energy systems are expected to emerge in the future. Currently, most studies focus solely on the stability of renewable energy generation systems connected to the grid via power converters. In fact, within CSP–BESS–wind hybrid energy systems, interactions between the CSP, collection grid, and the converter controllers can also arise, potentially triggering system oscillations. To fill this gap, this paper investigated the interaction mechanism and oscillation characteristics of a grid-connected CSP–BESS–wind hybrid energy system. Firstly, by considering the dynamics of CSP, BESSs, and wind turbines, a comprehensive model of a grid-connected CSP–BESS–wind hybrid energy system was developed. With this model, the Nyquist stability criterion was utilized to analyze the potential interaction mechanism within the hybrid system. Subsequently, the oscillation characteristics were examined in detail, providing insights to inform the design of the damping controller. Finally, the analytical results were validated through MATLAB/Simulink simulations.

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Publication Details

Journal
Energies
Published
2025-03-08
DOI
https://doi.org/10.3390/en18061339
Citations
4
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
4.86
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article

Interaction Mechanism and Oscillation Characteristics of Grid-Connected Concentrating Solar Power–Battery Energy Storage System–Wind Hybrid Energy System

Peng Kou, Shengliang Cai, Guobin Fu, Rui Song et al.
4 citations
Energies
Microgrid Control and Optimization
4.86
article

Interaction Mechanism and Oscillation Characteristics of Grid-Connected Concentrating Solar Power–Battery Energy Storage System–Wind Hybrid Energy System

Peng Kou, Shengliang Cai, Guobin Fu, Rui Song, Sun Haibin, Xuebin Wang, Zhihang Xue, Guoqiang Lu, Yang Xu
article en
4 citations

Abstract

Solar thermal concentrating solar power (CSP) plants have attracted growing interest in the field of renewable energy generation due to their capability for large-scale electricity generation, high photoelectric conversion efficiency, and enhanced reliability and flexibility. Meanwhile, driven by the rapid advancement of power electronics technology, extensive wind farms (WFs) and large-scale battery energy storage systems (BESSs) are being increasingly integrated into the power grid. From these points of view, grid-connected CSP–BESS–wind hybrid energy systems are expected to emerge in the future. Currently, most studies focus solely on the stability of renewable energy generation systems connected to the grid via power converters. In fact, within CSP–BESS–wind hybrid energy systems, interactions between the CSP, collection grid, and the converter controllers can also arise, potentially triggering system oscillations. To fill this gap, this paper investigated the interaction mechanism and oscillation characteristics of a grid-connected CSP–BESS–wind hybrid energy system. Firstly, by considering the dynamics of CSP, BESSs, and wind turbines, a comprehensive model of a grid-connected CSP–BESS–wind hybrid energy system was developed. With this model, the Nyquist stability criterion was utilized to analyze the potential interaction mechanism within the hybrid system. Subsequently, the oscillation characteristics were examined in detail, providing insights to inform the design of the damping controller. Finally, the analytical results were validated through MATLAB/Simulink simulations.

EnergiesVol. 18(6)
State Grid Corporation of China (China) (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 6%
Microgrid Control and Optimization
4.86
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