Study on the control strategy of load-side converter in wind-solar storage off-grid power supply system

This paper studies the control strategy of the DC/AC converter on the load side of the grid-connected photovoltaic system, aiming to solve the challenge of load fluctuations on system stability. An improved control algorithm is proposed to address the shortcomings of the traditional VF control strategy, which significantly improves the response speed and accuracy of the system to sudden load changes, thereby ensuring voltage and frequency stability. MATLAB simulation results show that the improved control strategy can effectively cope with sudden load changes, stably maintain system voltage and frequency, and ensure the reliability of power supply.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/icsgge64667.2025.10985416
Citations
1
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.53
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article

Study on the control strategy of load-side converter in wind-solar storage off-grid power supply system

Zhenpeng Luo, Ran Li, Zhipeng Xu, Guangqing Xu
1 citations
Power Systems and Renewable Energy
0.53
article

Study on the control strategy of load-side converter in wind-solar storage off-grid power supply system

Zhenpeng Luo, Ran Li, Zhipeng Xu, Guangqing Xu
article en
1 citations

Abstract

This paper studies the control strategy of the DC/AC converter on the load side of the grid-connected photovoltaic system, aiming to solve the challenge of load fluctuations on system stability. An improved control algorithm is proposed to address the shortcomings of the traditional VF control strategy, which significantly improves the response speed and accuracy of the system to sudden load changes, thereby ensuring voltage and frequency stability. MATLAB simulation results show that the improved control strategy can effectively cope with sudden load changes, stably maintain system voltage and frequency, and ensure the reliability of power supply.

Inner Mongolia University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 31%
Power Systems and Renewable Energy
0.53
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