Detection of High Impedance Fault in DC Microgrid Using Impedance Prediction Technique
Behrooz Taheri, Seyed Amir Hosseini
Abstract
The aim of this study is to develop a systematic procedure for detecting high impedance fault (HIF) in DC microgrid. Protection from HIF has been one of the biggest challenges in the microgrid due to the low-current magnitudes as well as the protection algorithms failing to distinguish it from normal switching events and DC motor starting. Accordingly, in this paper, a method for detecting high impedance fault based on DC microgrid impedance prediction is presented. The proposed technique is developed on a monopolar DC microgrid with two-level voltage source converters (VSCs) and using MATLAB and PSCAD software. Results support the efficiency of the developed technique for HIF detection application. This technique is capable of distinguishing HIF from normal network switching and DC motor starting failures.