Stockwell Transform and Data Mining based Fault Diagnosis Method to protect Microgrid

Increase in industrial and residential loads gives arise to the need of local power generation. The concept of local power generation to local loads in a small area made a new local power grid known as Microgrid. The monitoring and control of Microgrid is the important concern of electrical engineers and power engineering researchers. Current fluctuations are common in Microgrid due to various factors. In literature many methods are there to diagnose the fault occur in Microgrid. Machine Learning techniques are one of the future method to detect and island the fault in Microgrid. Signal Processing techniques helps to analyze the signal condition for further diagnosis. combination of these two methods for fault diagnosis in Microgrid yields better result compared to other previous methods that present in the literature. In this paper, a Microgrid consisting of PV Distributed Energy Resources (DER) and Wind System with local loads is simulated and all the simulations are carried out in MATLAB Simulink.