Method, system and storage medium for transformer overload prediction in station area based on regression model

Abstract

The transformer overload prediction technology in the Taiwan area of ​​the present invention is based on the regression model-based transformer overload prediction method, system and storage medium in the Taiwan area, which can effectively predict the overload situation of the transformer in the Taiwan area, and provide powerful data for inspection plans and transformer upgrading and transformation plans support. The method is as follows: according to the filling factor of the transformer load curve, the transformer with the maximum load lasting for more than a preset period is screened as the overload tendency transformer, and the minimum value of the load rate in the overload tendency interval is obtained; The load value is predicted to obtain the load growth coefficient of the adjacent two years; according to the prediction results combined with the minimum load rate of the overload tendency transformer overload tendency interval, and the load growth coefficient of the adjacent two years, the overload tendency occurrence interval of the next year is predicted The minimum value of the load rate, thus obtaining the list of overloaded transformer predictions.

Description

technical field [0001] The invention relates to a transformer overload prediction technology in a Taiwan area, specifically a method, a system and a storage medium for predicting an overload of a transformer in a Taiwan area based on a regression model. Background technique [0002] As the last-level power supply unit for low-voltage users, the distribution transformer station area directly affects the power supply quality in the station area by the operating status of the power supply equipment in the station area. Heavy overload operation of equipment is one of the main causes of power outages, and heavy overload is usually accompanied by other problems such as three-phase imbalance, voltage offset, etc., which seriously affects the safe and reliable power consumption of users. In addition, if the equipment is in a heavy overload state for a long time, it will accelerate the abnormal wear and tear of components, reduce the service life of the equipment, and bring hidden tr...

AI Technical Summary

Problems solved by technology

Heavy overload operation of equipment is one of the main causes of power outages, and heavy overload is usually accompanied by other problems such as three-phase imbalance and voltage offset, which seriously affect the safe and reliable power consumption of users

In addition, if the equipment is in a heavy overload state for a long time, it will accelerate the abnormal wear and tear of the components, reduce the service life of the equipment, and bring hidden troubles and operation risks to the power grid

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