Reliability Assessment of DC Microgrid Using Markov Model

In terms of grid safety and economics, reliability is an essential component of power system design and operation. Distributed generation (DG) sources connected through power electronic converters (PECs) are the integral part of the DC microgrids. As a result, the reliability of the DC microgrid (MG) will be impacted by their failure characteristics. Therefore, the traditional methods of assessing reliability, may provide misleading data for taking the decisions for planning and operation of DC MGs. This study presents work that uses a Markov model to access the reliability of DC MG systems. Modelling the microgrid using the connectivity between the source and the loads and computing the system parameters is performed using a Markov model. A test system is considered to demonstrate the impact of faults and component failures on the reliability of DC MGs.