Dual-collaborative inertia control of photovoltaic energy storage power station

In order to solve the problem of voltage fluctuation caused by the power mismatch of the parallel operation system of photovoltaic storage in power systems, this paper proposes a new control strategy suitable for this application scenario, which is based on the tracking of the maximum output active power of the photovoltaic array, combined with the local load power information, and cooperatively controls the energy storage and photovoltaic output in the power transmission process, so as to achieve efficient and fast consumption of the photovoltaic active power in the system. Finally, the simulation model is built by MATLAB/Simulink software, and the simulation results show that the cooperative control strategy is effective.

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Publication Details

Journal
IET conference proceedings.
Published
2026-02-19
DOI
https://doi.org/10.1049/icp.2025.3993
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.00
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Dual-collaborative inertia control of photovoltaic energy storage power station

Mei Yu, Yanqiang Shi, Yijing Zhang, Liangcai Zhou et al.
IET conference proceedings.
Microgrid Control and Optimization
article

Dual-collaborative inertia control of photovoltaic energy storage power station

Mei Yu, Yanqiang Shi, Yijing Zhang, Liangcai Zhou, Jianhua Li, Wu Pan
article en

Abstract

In order to solve the problem of voltage fluctuation caused by the power mismatch of the parallel operation system of photovoltaic storage in power systems, this paper proposes a new control strategy suitable for this application scenario, which is based on the tracking of the maximum output active power of the photovoltaic array, combined with the local load power information, and cooperatively controls the energy storage and photovoltaic output in the power transmission process, so as to achieve efficient and fast consumption of the photovoltaic active power in the system. Finally, the simulation model is built by MATLAB/Simulink software, and the simulation results show that the cooperative control strategy is effective.

IET conference proceedings.Vol. 2025(38)
State Grid Corporation of China (China) (CN), Shanghai Jiao Tong University (CN)
Affordable and clean energy
Openalex Percentile: Top 51%
Microgrid Control and Optimization
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