Multi-source information classification evaluation and status monitoring of Synchronous condenser excitation system

Abstract

The excitation system of the synchronous condenser plays a significant role in reactive power regulation and maintaining voltage stability. The existing information classification of the excitation system is not perfect and the comprehensive analysis of multiple variables is insufficient, making it difficult to evaluate the operating status of synchronous condenser. Based on the basic structure of the synchronous condenser excitation system, the working mechanism of the excitation system is analyzed, and the internal signal transmission path is sorted out. The multi-source information of the excitation system is classified from the dimensions of functional application and data type, the original data is cleaned and filtered, the key characteristic variables are screened, and the data storage, transmission and invocation architecture of the excitation information monitoring system is constructed to achieve the state monitoring and intelligent diagnosis of the excitation system.