Risk-Based Predictive Maintenance Approach for Power Distribution Systems: A Time Series Analysis Case Study

Power distribution systems are complex, posing technical challenges and risks that require substantial resources for maintenance. To optimize predictive maintenance while upholding safety, environmental standards, and organizational prestige, this study introduces a time series analysis method. The proposed methodology involves using Python programming-based time series predictions in power distribution system failures, especially for medium voltage level (33kV, 11kV) failures. The application of the proposed methodology is demonstrated by a real case study in a highly dense area of Colombo, Sri Lanka. This study will help relevant officials to make accurate decisions on maintenance investments, utilizing scarce resources through an effective methodology.