Transformer voltage regulation method and transformer

Through detailed analysis of the voltage at the input and output terminals of the transformer and Bayesian time series model prediction, the problem of low voltage regulation accuracy in the prior art is solved, and more accurate voltage fluctuation prediction and stability improvement are achieved.

CN119209697AActive Publication Date: 2024-12-27HUIZHOU COYANTONG ELECTRICAL TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202410880443.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-07-02
Publication Date
2024-12-27
Estimated Expiration
2044-07-02

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Abstract

The invention discloses a transformer voltage regulation method and a transformer, and relates to the technical field of transformer voltage regulation, and the method comprises the steps: obtaining an input end voltage and an output end voltage of the transformer according to a set frequency, and obtaining an access end voltage curve and an output end voltage curve; setting an input end normal voltage interval and an output end normal voltage interval; obtaining an input end abnormal voltage curve based on the input end normal voltage interval and the input end voltage curve, and obtaining an output end abnormal voltage curve based on the output end normal voltage interval and the output end voltage curve; according to the transformer voltage regulation method and the transformer, the probability of automatic recovery of the voltage within the specified time is analyzed under the conditions of each voltage fluctuation feature and other electrical parameters and environmental data of the corresponding time, and the probability threshold is set, so that when the prediction probability is greater than the probability threshold, the voltage is automatically recovered within the specified time. And the voltage can be automatically recovered within the specified time without adjusting the voltage of the transformer, so that the prediction precision is further improved.
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Citation Information

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