Integrative Performance Assessment of Electrical Distribution Networks: An Integrated Indicators and Weight Processing Strategy

Abstract

This study presents a novel framework This study proposes a new framework for evaluating the performance of distribution networks using a comprehensive approach. This method combines Principal Component Analysis (PCA) for extracting key performance indicators, Improved Analytic Hierarchy Process (IAHP) for determining objective weights of these indicators, and CRITIC method for determining subjective weights. Then, aggregate weights are used to calculate the comprehensive performance score of each part of the distribution network. On the premise of reducing computing resources, K-means clustering analysis is applied to classify the status of distribution network projects, providing data reference for project maintenance and repair. Finally, a case study and corresponding analysis of the evaluation results were presented, providing detailed insights into the practical application of the proposed framework. The limitations of current research and future research approaches were also discussed. The results indicate that the designed strategy performs well in terms of accuracy and computational convenience, and has potential application prospects