Comparison of Fault Detection Technique for AC Microgrid Protection

Abstract

Microgrid(MG) provides numerous advantages such as reduced transmission losses, low carbon emission, improved system reliability. However, for the proper functioning of the MG, it should be protected from different fault conditions. Detection of fault conditions in MGs is challenging because the fault current magnitude varies in various modes of microgrid operations, types of DGs used, ratings of DGs, and bidirectional fault current flow. This article presents a signal processing-based technique to determine the faults in the Microgrids and state-of-the-art latest research on microgrid fault detection. This paper analyzes different phasor estimation techniques such as sample to sample comparison (S to S) technique, cycle to cycle (C to C) comparison, and Kalman filtering technique for Microgrid fault detection. The microgrid with various types of DGs are simulated using RTDS/RSCAD (Real-time digital simulator), and the Kalman filtering techniques can effectively detect different fault conditions in the microgrid.