Transformer top oil temperature anomaly monitoring method based on multi-dimensional information

Abstract

The invention discloses a transformer top oil temperature anomaly monitoring method based on multi-dimensional information, which comprises the following steps: A, initializing a CS algorithm, establishing a fitness evaluation model of a bird nest position, and initializing a fitness value; B, calculating a global optimal solution and a local optimal solution of each bird nest position; C, respectively constructing a Susa thermal circuit calculation model and an SVR regression compensation model according to the identified parameters; D, based on the Susa thermal circuit calculation model, obtaining a preliminary top oil temperature prediction value; E, based on the SVR regression compensation model, obtaining a final prediction value of the top oil temperature; and F, carrying out short-term trend prediction on the residual error after moving average by adopting an ARIMA method. According to the scheme, the environmental conditions of the transformer are fully considered, and the keyparameters in the temperature rise model are identified and corrected, and the residual error of the top-layer oil temperature is subjected to trend prediction, and the monitoring precision of the top-layer oil temperature of the transformer is improved.

Description

technical field [0001] The invention relates to the field of electric equipment detection, in particular to a multi-dimensional information-based method for monitoring abnormal oil temperature on the top layer of a transformer. Background technique [0002] Oil-immersed transformer is an important component of the power system, and its internal overheating will lead to many problems such as the decline of the insulation performance of the transformer. Winding overheating is an important cause of internal overheating of the transformer, but it is difficult to directly measure the hot spot temperature of the winding, so the change of the hot spot temperature of the winding is represented by the change of the top layer oil temperature. At present, the calculation model of the top oil temperature rise is mainly based on the temperature rise calculation formula of IEEE C57.91 and IEC 60076-7. On the one hand, it simplifies the environmental factors and fails to fully consider the...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing technology fails to fully consider the environmental conditions of the transformer when calculating the temperature rise of the transformer top layer oil, and does not correct the key parameter values ​​in the calculation model of the top layer oil temperature rise; The parameters of the road physical model and the data regression model are identified and optimized, resulting in insufficient accuracy of the calculation results of the top layer oil temperature, and the shortcoming of being unable to accurately characterize the change of the hot spot temperature of the winding; a multi-dimensional information-based abnormal monitoring of the transformer top layer oil temperature is proposed method, fully consider the environmental conditions of the transformer, and identify and correct the key parameters in the temperature rise model, predict the trend of the residual error of the top oil temperature, and improve the monitoring accuracy of the transformer top oil temperature

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