Construction method and system of relay protection equipment fault early warning model, and early warning method

Abstract

The invention provides a construction method of arelay protection equipment fault early warning model. The method comprises the following steps: A, collecting historical fault information of the relay protection equipment, and dividing all faults into at least two grades; B, arranging fault data of protection function failure to obtain a result vector, and taking a matrix constructed by corresponding historical fault information as a reason matrix; C, normalizing the result vector and the reason matrix respectively; and D, determining the structure and parameters of the BP neural network, and importing the normalized reason matrix and result vector as input and output values into the BP neural network for training. The invention further provides a fault early warning method based on the model. According to the invention, the fault causing the failure of the protection function is taken as a reason, the fault causing the failure of the protection function is taken as a result, early warning is performed on the relay protection equipment, abnormal loss is reduced, and the stability and reliability of power grid operation are improved.

Description

technical field [0001] The invention relates to the technical field of relay protection, in particular to a construction method, a system and an early warning method of a fault early warning model of relay protection equipment. Background technique [0002] With the development of economy and various industries, people's demand for power supply continues to increase. As an important guarantee for economic development, the power system's operation stability, reliability and security are becoming more and more important. However, a series of processes from power generation to power consumption in the power system are complex and coupled, which makes its reliable, safe and stable operation face many problems and tests. Therefore, people introduce smart substations into the modern transmission and distribution grid system. The emergence of smart substations marks the development of my country's power grid from the aspects of informatization, digitization, automation and intera...

AI Technical Summary

Problems solved by technology

[0004] Although the traditional early warning technology of relay protection equipment can monitor and warn the operating status and failure of the equipment, there are several problems: first, when the system alarms, the equipment has already failed and can only be shut down for maintenance; second, A large number of physical parameters will be generated during the normal operation of the relay protection device, and the processing of these data depends on expert experience

In addition, due to the development of network technology and signal processing technology, relay protection equipment generates massive amounts of information all the time, which cannot be processed by only relying on limited experts

[0005] The invention patent application with the publication number CN107918690A discloses a state evaluation method for relay protection equipment based on BP neural network algorithm. The historical maintenance data is imported into the BP neural network for learning to form a state evaluation model, and the state evaluation model is used to evaluate the state of the relay protection device. Evaluate the environment without equipment operating environment, etc., obtain the evaluation results, and then arrange maintenance, but this method is mainly used to determine the scope of maintenance, and cannot realize early warning of relay protection equipment failures

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