A robust algorithm based on a failure-sensitive matrix for fault diagnosis of power systems: an application on power transformers

Abstract

Abstract:In this paper, a robust algorithm for fault diagnosis of power system equipment based on a failure-sensitive matrix (FSM) is presented. The FSM is a dynamic matrix structure updated by multiple measurements (online) and test results (offline) on the systems. The algorithm uses many different artificial intelligence and expert system methods for adaptively detecting the location of faults, emerging failures, and causes of failures. In this algorithm, all data obtained from the power transformer, which have various nonlinear input and output parameters, are processed using the parallel matrix structure of the FSM to reach a global solution quickly. The parameters of a power transformer are used to verify the algorithm under 4 operating conditions simulated in the MATLAB-Simulink program. The obtained results show that the algorithm is convenient for determining incipient failures of a system that consists of multiple parameters.

Transformer Health Status Evaluation Method Based on the Association Rule and Analytic Hierarchy Process

“…In recent years, with the rapid development of industrial economy in our country, the fast-growing demand for power, power supply, serious overload, transformer accident rate is increasing year by year. With the change in operating years and an increase in operating condition, power transformers may occur in various forms of failure or fault indication [1], transformer condition assessment it is reflected from its operating state of various important factors starting from the macro to the transformer run security state overall assessment, by comparing historical data shows that China's current part of power transformer condition assessment method of distribution transformers provinces overhaul costs decreased significantly [2]. Dissolved gas analysis (dissolved gas analysis, DGA) technology can accurately and reliably detect potential defects transformer progressive development.…”