Data Modeling of Intelligent High-Voltage Switch Operating Mechanism

Abstract

The operating state of the high-voltage switch operating mechanism is closely related to the safety and stability of the power system. Due to problems such as poor contact and damage to components during the use of the high-voltage switch operating mechanism, various faults and accidents are often caused. The intelligent high-voltage switch highly integrates a variety of sensors in the operating mechanism box of the circuit breaker, which can easily and quickly obtain the sensing data in the operating mechanism box. In this paper, a data monitoring model is established for the actual data requirements of a large number of online monitoring to monitor the working state of the high-voltage switch operating mechanism, and an online monitoring IED model for the high-voltage switch operating mechanism is established to monitor the data contained in the logic nodes in the model. In order to realize the online fault intelligent diagnosis of the operating mechanism, this paper also combines the artificial neural network and the PID algorithm to optimize the driving motor control system of the operating mechanism to automatically complete the fault detection. In conclusion, it is hoped that monitoring equipment data and diagnosing equipment faults through the IED model will lay a solid foundation for the realization of smart grid.