Research on PV Grid-Connected Method for New Power System

The traditional PV grid-connection method has poor control effect and low precision, so under the influence of sudden change of PV intensity, ambient temperature fluctuation and other phenomena, there will be defects such as high harmonic distortion rate of grid-connected currents, low success rate of grid-connection, and poor load prediction as well as scheduling accuracy. Aiming at the above problems, a new control method is designed. A new controller is used instead of the traditional proportional-integral control to improve the controller's ability to resist external interference, thus improving the system's immunity. At the same time, LSTM is used for grid-connected control, and the data on the power generation side and the user side are collected and predicted in order to compose an adaptive control strategy. Comparative experiments of the proposed method with proportional-integral, conventional sliding mode control are conducted based on the test system. Based on this method, the success rate of grid connection can reach over 97%, improving the accuracy of load forecasting and scheduling.

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Publication Details

Published
2024-11-28
DOI
https://doi.org/10.1109/icaica63239.2024.10823062
Primary Topic
Power Systems and Renewable Energy
Type
article
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Research on PV Grid-Connected Method for New Power System

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Research on PV Grid-Connected Method for New Power System

Yutong Wu, Chaoqun Yao, Hao Zhang, Nan Liu, Runxi Ouyang
article en

Abstract

The traditional PV grid-connection method has poor control effect and low precision, so under the influence of sudden change of PV intensity, ambient temperature fluctuation and other phenomena, there will be defects such as high harmonic distortion rate of grid-connected currents, low success rate of grid-connection, and poor load prediction as well as scheduling accuracy. Aiming at the above problems, a new control method is designed. A new controller is used instead of the traditional proportional-integral control to improve the controller's ability to resist external interference, thus improving the system's immunity. At the same time, LSTM is used for grid-connected control, and the data on the power generation side and the user side are collected and predicted in order to compose an adaptive control strategy. Comparative experiments of the proposed method with proportional-integral, conventional sliding mode control are conducted based on the test system. Based on this method, the success rate of grid connection can reach over 97%, improving the accuracy of load forecasting and scheduling.

Xishuangbanna Tropical Botanical Garden (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Power Systems and Renewable Energy
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