Digitized status evaluation of secondary equipment in traction substation

Abstract

The traction substation is responsible for the power supply to the traction load, and it is very important to ensure the safe operation of the equipment in the traction substation. At present, the research on status estimation of primary equipment in the substation is mature, but there is still no unified evaluation standard and diagnostic process for secondary equipment. Therefore, an improved fuzzy algorithm model based on variable weight theory and membership correction is proposed to estimate the status of secondary equipment in the substation. The example analysis verifies that the improved fuzzy algorithm can improve the accuracy of state estimation and effectively avoid a series of problems caused by constant weights and fixed membership of the traditional fuzzy algorithm. The light transmission power decreases from -14.68 dBm to -19.74 dBm, while the temperature decreases from 23 °C to 28 °C. The health status of both indicators decreased by a level consistent with the observations.