Abstract
Inverter-integrated distributed generation (DG) systems are crucial in enhancing the adoption of renewable energy sources and improving grid resilience. However, detecting faults in such systems is challenging due to their dynamic nature, including the influence of harmonics. This project presents a real-time fault detection system for inverter-based DG systems using Instantaneous Power Theory, focusing on analyzing active power, Voltage, and current behaviors under fault and normal conditions.The project involves modeling a three-phase inverter-connected DG system in MATLAB/Simulink and simulating fault scenarios to evaluate system responses. A per-unit (PU) based approach is implemented to detect fault by monitoring power, voltage, and current deviations, if the nominal output current voltage and power exceeds the reference values, then the fault detection method detects the fault based on grid variations.
The developed algorithm accurately identifies faults in real time, particularly under short-circuit conditions. Simulations validate the system's effectiveness across various operational scenarios, highlighting its capability to enhance fault detection in distributed renewable energy systems.