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