Transformer short period overload capability assessment system based on artificial intelligence technology

Abstract

The invention relates to a transformer short period overload capability assessment system based on artificial intelligence technology. The system comprises an acquisition module, a data server, a client host, a transformer characteristic parameter database, a transformer history operation parameter database and an artificial intelligence calculating module. The system is characterized in that: transformer characteristic parameters of various models are inputted the transformer characteristic parameter database through a parameter input module, and the system calls a corresponding characteristic parameter according to a transformer model; an on-line signal acquisition module acquires an on-line signal and inputs the signal into the transformer history operation parameter database as a prediction reference basis; by utilizing a nerve network function, the artificial intelligence calculating module establishes a simulation model for a transformer top oil temperature and winding hot spot temperature rise differential equation, and by utilizing a variable step size Runge-Kutta method, calculates top temperature and hot spot temperature of a transformer in real time to realize assessment prediction of overload capability.

Description

technical field [0001] The invention relates to a transformer short-term overload capacity evaluation system, which belongs to auxiliary operation equipment of power transformers in power system substations, and in particular to a transformer short-term overload capacity evaluation system based on artificial intelligence technology. Background technique [0002] With the rapid development of the national economy, the demand for power supply is increasing day by day. It is of great significance to make full use of existing equipment and tap the potential of the power transmission system. At present, the operating temperature of the transmission system has been appropriately raised. As the bottleneck of the power transmission system, the transformer is a key link. The insulation performance and life of the transformer are related to the maximum hot spot temperature of the winding. However, the operating limit of the transformer is calculated based on the average temperature,...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide an evaluation system for the overload capacity of power transformers, through comprehensive monitoring and recording of various historical state parameters during transformer operation, to realize real-time online monitoring of transformer winding hot spot temperature, and to grasp the law of its load and temperature rise; On the basis of safe and healthy operation of the transformer, fully tap the potential of the equipment, make a reasonable prediction of the short-term overload capacity of the transformer, and provide reasonable guidance for decision makers; solve the problem of insufficient short-term power supply capacity when the power grid peaks or fails

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