A Novel Health State Assessment Method of Low-voltage Distribution Network Based on CV-G2-ER Rule

INTRODUCTION: As the distribution network segment closest to end users, the health status of low-voltage distribution networks directly affects the quality of people's production and daily life. Aiming to address the key limitations existing in the health status evaluation of low-voltage distribution networks—including the reliability of evaluation data, weight determination of the evaluation index system, and uncertainty involved in the evaluation process—this paper proposes a novel health status evaluation method for low-voltage distribution networks based on the CV-G2-ER rule. METHODS: The proposed method is implemented through three core standardized steps. First, the reliability of attribute evaluation data is calculated based on the distance metric between evaluation datasets. Second, the objective weight and subjective weight of the evaluation index system are calculated using the Coefficient of Variation (CV) method and G2 method, respectively; the comprehensive weight is then obtained by fusing the two weights via the Lagrange multiplier method, which effectively improves the rationality of the index system's weight assignment. Finally, multi-attribute evaluation information is fused based on the Evidential Reasoning (ER) rule, to derive the final health status evaluation conclusion and corresponding confidence level of the low-voltage distribution network. RESULTS: The effectiveness and feasibility of the proposed method are verified via a case study, which covers the health status evaluation and comparative analysis of 10 low-voltage distribution networks under the jurisdiction of a regional power supply bureau. CONCLUSION: The proposed CV-G2-ER rule-based evaluation method effectively resolves the core pain points in the current health status evaluation process of low-voltage distribution networks, and provides a practical, scientific and reliable technical approach for the health management and operation optimization of low-voltage distribution systems.