Real-time Health Assessment Method for Distribution Terminals with Reliability

Abstract

Distribution terminals are essential components of the distribution network, and their health assessment is crucial for achieving active operation and maintenance and improving the reliability of power supply. In this study, a real-time health assessment index system is constructed by extracting relevant characteristics from multi-source heterogeneous data of distribution terminals obtained from the distribution master station. The indexes are acquired and graded, and the reliability assessment method is introduced to calculate the initial weights of the indexes. The variable weight theory is then applied to modify the weights, taking into account the impact of dramatic changes in the rating on the overall assessment results of the distribution terminals. Finally, the cloud model is used to solve the index affiliation for the fuzzy nature of state rating, and a set of distribution terminal samples is used to verify the feasibility of this real-time health assessment model. These findings demonstrate the potential of the proposed model for improving the reliability of power supply in distribution networks.