Defect Analysis of Valve Based Electronic Equipment in HVDC Transmission System Based on Association Analysis Algorithm

Abstract

The core equipment of the DC transmission system is the converter valve control equipment. It is crucial to analyze the defects and abnormalities of valve based electronic equipment to ensure the stable operation of the DC transmission system. This paper proposes a defect analysis method for HVDC valve based electronic equipment based on association analysis algorithm. Firstly, based on the basic structure and principle of valve based electronic equipment, the collection of corresponding defect data is introduced; Secondly, the original data is cleaned, quantized and encoded, and then imported into the FP-Growth algorithm. By constructing an FP-Tree, the defect characteristics, influencing factors, and the degree of correlation between various devices of valve based electronic equipment are analyzed. This method can efficiently and intelligently achieve correlation analysis and fault tracing of core equipment defects in DC transmission systems. This provides a theoretical basis for the formulation of maintenance strategies for operation and maintenance personnel. Finally, the effectiveness of this method is verified by a simulation example of defect data of converter valve based electronic equipment in a real DC transmission system.