Post by NITHIN SINGH THAKUR

​Thrilled to share the successful completion of Project Review 1 for our engineering mini-project: AI-Based Detection of Current Transformer (CT) Saturation! ⚡​Current Transformer (CT) saturation remains a critical bottleneck in power system protection. During high-magnitude faults or severe DC offsets, the magnetic core of a CT enters saturation, resulting in severely distorted secondary current waveforms. This waveform clipping "blinds" protective relays, causing catastrophic tripping delays or unintended maloperations. ​Traditional analytical and signal-processing methods often fall short under complex noise or evolving grid dynamics. Our project addresses this by leveraging Artificial Intelligence to achieve instantaneous, highly reliable saturation detection. ​For our Phase 1 Milestone, my team focused on the foundational engineering and architectural framework: ​System Modeling & Problem Formulation: Quantified the exact magnetic flux parameters and fault conditions that trigger core saturation. ​Comprehensive Literature Survey: Critically evaluated existing algorithmic gaps in traditional protection schemes (like point-by-point methods and curve fitting). ​AI Architecture Setup: Finalized our Machine Learning/Deep Learning framework tailored for real-time feature extraction and rapid classification of transient waveform signatures. ​Next Steps: Generating extensive fault datasets via simulation (PSCAD/MATLAB/Simulink) and initiating model training and hyperparameter tuning. ​A huge shoutout to my dedicated team members, Mannuru Ameer and Karansinh, for their hard work. We are incredibly grateful for the invaluable insights and academic mentorship provided by our HOD Dr. Nishant Kothari Sir. ​Looking forward to translating this framework into a robust, trained model in the next phase! 🚀 ​#PowerSystems #ElectricalEngineering #MachineLearning #DeepLearning #SmartGrid #PowerSystemProtection #Innovation #EngineeringProject ​#PowerSystems #AI #MachineLearning #SmartGrid #ElectricalEngineering #ProjectMilestone