Traveling Wave Based Fault Location and Fault Classification Technique for Distribution Networks with High Renewable Penetration

Distribution systems have become more complex with the increased penetration of renewable energy sources. In standard operational scenarios, the increased proliferation of distributed generation technologies, including photovoltaic systems, electrical interfaces, and power electronic-equipped battery storage, may result in bidirectional power flows. In the event of a short circuit, this configuration could yield minimal fault current. These can affect the protection system of the distribution system. This paper discusses detecting the fault location and identifying the fault type by using extracted features of traveling wave after the fault occurred in distribution networks with high renewable penetration. The research is based on the XGBoost model trained by features obtained through zero sequence current and 3 phase currents from the PSCAD simulation.