Architecture and Methodology for Distribution Automation Condition Assessment Based on Comprehensive Entropy Weight Method Considering Unified Testing System

The paper introduces a transformative architecture and method for assessing distribution automation systems, addressing the limitations of traditional manual testing approaches with a unified, flexible, and efficient digital test system. The proposed system integrates a high-speed emulator, digital test platform, and synchronization module to enable remote and synchronized testing, ensuring standardized and reliable results. It supports multi-device and complex logic testing, streamlining the process through a business management model that includes a controlled, closed-loop system for managing testing standards, cases, equipment authentication, and report authorization. The paper also outlines a remote testing business model and discusses equipment functionality testing methods, including offline and online testing using 5G networks. Furthermore, it presents a multi-scenario simulation test and an evaluation system based on the Proportional Hazard Model (PHM) and comprehensive entropy weight method for a more accurate terminal health assessment. The research concludes with a robust methodology that aligns with industry standards, supports technological innovation, and advances the development of digital distribution grids.