Optimum Utilization of Transformer online Monitoring Systems in Electricity Transmission Network (Kahramaa approach)

These cost implications pose challenges in achieving optimal ROI. To maximize the benefits derived from the installation of these systems, the utility takes an initiative role for analyzing these aspects with respect to system operational challenges which discussed in detail in this paper. The study seeks to strike a balance between system performance and cost-effectiveness by proposing an improved operational approach. This approach involves modifications to the existing TMS frameworks deployed across the transmission network, along with target recommendations to mitigate operational challenges. The proposed framework includes sitelevel enhancements aimed at improving the robustness of monitoring units, reducing failure rates, and mitigating component aging. Furthermore, a novel algorithm for filtering Dissolved

Gas Analysis (DGA) alarms is introduced, enabling them to distinguish between genuine fault conditions and anomalies resulting from data inconsistencies or acquisition failures. This approach demonstrates a substantial reduction in false alarms, improved data reliability, and a significant decrease in unnecessary maintenance interventions. The results indicate that centralization of critical diagnostic data such as (DGA), with effective management of its associated combined systems provides a practical and scalable approach for enhancing TMS performance and operational efficiency. The insights and methodology presented in this study can serve as a valuable reference for transmission utilities within the GCC and in other regions with similar objectives, supporting improved network reliability and cost-effectiveness in power transmission systems networks.