The Optimal Scheduling of Maintenance and Replacement of Power Transformers: A Risk Based Method

The reliable operation of power equipment in the electrical grid hinges on the proper and efficient scheduling of maintenance and replacement activities. Currently, existing methodologies often lack a comprehensive approach to coordinate these critical tasks. In this paper, an optimal scheduling method for the maintenance and replacement of power transformers has been proposed based on minimizing the total failure risk. To achieve this, we establish a failure model specific to power transformers, enabling us to quantitatively assess the risk of failure. Subsequently, we formulate the scheduling of maintenance and replacement as a Mixed Integer Linear Programming (MILP) problem, aiming to minimize the total cost associated with failure. Case studies is performed with actual transformer data and the results have verified the effectiveness of the proposed method.