Power quality adjusting method of power grid

By acquiring the power data on multiple time scales of the grid and adjusting the nonlinear power quality controller based on deep learning models, the problem that the prior art is difficult to capture and adapt to the transient changes in the power grid in real time is solved, and more efficient power quality regulation and grid stability are achieved.

CN119726709APending Publication Date: 2025-03-28GUANGDONG POWER GRID CO LTD +1
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Patent Information

Application Number
CN202411927273.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-25
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The existing grid power quality monitoring system is difficult to capture and analyze transient events in the power grid in real time, and the existing static compensation devices and filters based on linear control theory have poor response speed and accuracy when dealing with the dynamic power quality problems caused by distributed power access, and it is difficult to adapt to the transient changes and nonlinear fluctuations of the power grid.

Method used

By acquiring the power energy data on multiple time scales of the power grid, conducting time-domain and frequency-domain analysis, determining the power quality monitoring report and analysis results, adjusting the nonlinear power quality controller based on the deep learning model, and controlling the power quality adjustment equipment through the controller to adjust the power energy quality of the power grid.

Benefits of technology

It improves the speed and accuracy of power quality adjustment, ensures that the power grid remains stable in an environment of uncertainty and rapid change, achieves a better dynamic response effect than the existing technology, better adapt to the transient changes and nonlinear fluctuations of the power grid, and improves the reliability of the power grid.

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Abstract

The invention discloses an electric energy quality adjusting method of a power grid. The method comprises the following steps: acquiring multi-time-scale electric energy data of a power grid; the electric energy data comprises voltage and frequency; adjusting a non-linear power quality controller according to the fluctuation of the power data; and controlling power quality adjusting equipment to adjust the power quality of the power grid according to the adjusted nonlinear power quality controller. Multi-level monitoring of the electric energy quality problem can be realized, so that various complex electric energy quality time of the power grid can be comprehensively covered, accurate monitoring of transient events and long-term trends in the power grid is ensured, and the electric energy quality of the power grid is adjusted by controlling the electric energy quality adjusting equipment through the nonlinear electric energy quality controller. According to the method, the rapidity and accuracy of electric energy quality adjustment can be improved, it is ensured that the power grid is kept stable in an uncertain and rapid change environment, the dynamic response effect better than that in the prior art is achieved, the method better adapts to transient change and nonlinear fluctuation of the power grid, and the reliability of the power grid is improved.
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