From review to implementation: crafting a testing protocol for medium voltage cable joints

Medium Voltage (MV) cable joints are essential components in underground power distribution systems, ensuring electrical continuity and reliability. However, their performance is affected by various operational stresses, including thermal fluctuations, mechanical loads, and electrical aging, which can lead to insulation degradation and eventual failure. While existing diagnostic methods such as Partial Discharge (PD) testing and Tangent Delta (Tan Delta) measurements are widely used, they have limitations in detecting early-stage defects and predicting long-term reliability. This thesis develops a comprehensive testing protocol to enhance failure detection and predictive diagnostics for MV cable joints. The proposed framework is divided into Factory and Industry Testing, which evaluates joint performance under real-world operational conditions, and Laboratory and Research Testing, which refines diagnostic methods and investigates failure mechanisms. The protocol integrates advanced techniques such as temperature-dependent Tan Delta profiling, high-frequency PD detection, and AI-driven predictive maintenance to improve assessment accuracy. By addressing the limitations of current industry standards, this research aims to enhance diagnostic precision, extend the lifespan of MV cable joints, and reduce maintenance costs. The findings contribute to the development of standardized testing methodologies that can improve power system reliability and reduce unexpected failures.