كنفرانس بين المللی مهندسی صنايع و سيستم ها

صفحه اصلی / دوازدهمین كنفرانس بين المللی مهندسی صنايع و سيستم ها

Health-Criticality Analysis of Electricity Distribution Transformers Using a Multi-Criteria Health Index and Risk-Based Asset Management Framework

نویسندگان :

Mohsen Kojury-naftchali¹ Abdollah Hoseinzadeh² Mohammad Shams³ Esmaeel Nabavi⁴

1- شرکت توزیع نیروی برق مازندران 2- شرکت توزیع نیروی برق مازندران 3- شرکت توزیع نیروی برق مازندران 4- شرکت توزیع نیروی برق مازندران

کلمات کلیدی :

Distribution transformer; ; Criticality Index; Risk-based asset management; Reliability; .،Multi-criteria decision making،Health Index،Maintenance optimization،Asset management،Condition assessment

چکیده :

Distribution transformers are among the most critical assets in electricity distribution networks because their failures directly affect power system reliability, customer satisfaction, operational safety, and utility economics. The increasing age of transformer fleets, growing electricity demand, integration of distributed energy resources, and limited maintenance budgets have created significant challenges for utilities in developing effective asset management strategies. This paper proposes a comprehensive health-criticality analysis framework for distribution transformers based on a multi-criteria Health Index (HI) and risk-based asset management approach. The proposed methodology integrates transformer condition assessment, failure probability evaluation, and consequence-of-failure analysis to prioritize maintenance actions. The Health Index is developed by combining measurable diagnostic parameters and a Criticality Index is simultaneously developed considering customer impact, economic losses, safety consequences, environmental effects, and network topology. A case study involving a representative distribution transformer population demonstrates the effectiveness of the proposed approach. The results show that transformers with poor health conditions are not always the highest maintenance priority; instead, priority depends on the interaction between asset degradation and failure consequences. Compared with traditional age-based maintenance strategies, the proposed risk-based framework improves maintenance resource allocation, reduces expected failure costs, and enhances distribution network reliability.