Fault detection classification and location in power system using ANFIS in MATLAB Simulink
 
The Fault Detection, Classification, and Location in Power Systems using ANFIS model offers a powerful intelligent solution for modern distribution networks. Traditional protection schemes often struggle with nonlinear system behavior and varying operating conditions. This complete MATLAB/Simulink package overcomes these challenges by integrating the Adaptive Neuro-Fuzzy Inference System (ANFIS) for fast and highly accurate fault analysis.
 
This model simulates a three-bus distribution system and evaluates a wide range of fault types, including single-line-to-ground, line-to-line, double-line-to-ground, and three-phase faults. Using inputs such as RMS voltage, RMS current, and zero-sequence components, the ANFIS classifier accurately identifies the fault type, while a separate ANFIS model precisely estimates fault distance along the transmission line. With demonstrated 91% classification accuracy and ±5% location error, this system provides a highly reliable approach suited for smart grids, relay engineers, and researchers working on intelligent protection.
 
Key Features
✔️ Complete MATLAB/Simulink Model with editable blocks
✔️ ANFIS-based fault detection, classification, and location
✔️ Supports SLG, LL, LLG, and three-phase faults
✔️ Accurate feature extraction: RMS V, RMS I, V₀, I₀
✔️ Binary-coded fault output for precise identification
✔️ Distance estimation model using voltage signatures
✔️ Extensive training dataset for three different fault locations
✔️ High accuracy: ~91% classification performance
✔️ Real-time compatible neuro-fuzzy inference technique
✔️ Ideal for research students, and industrial studies
 
What You Will Receive
 
📁 Complete MATLAB/Simulink (.slx) Model
📘 MATLAB Code for collecting datasets for training and testing
🎞️ Demonstration Video (YouTube link)
 
Applications
Power System Protection
Fault Analysis and Relay Coordination
Smart Grid Monitoring
ANFIS/AI-Based Protection Research
Academic Project Demonstrations