Hybrid distributed generation system modeling for smart self-healing electric microgrid

Hybrid distributed generation systems (HDGSs) seem promising as components of future electric grids, and they are currently subject of extensive research. Numerous studies on renewable resources exist, but their authors mainly investigate wind and PV. However, research on HDGSs is not as abundant. There are multiple ways to model an HDGS, depending on whether the method used is probabilistic or deterministic. In this study, the subsystems of an HDGS are modeled separately to achieve a highly accurate model for each subsystem. We propose a new method for representing an HDGS that makes use of multiple techniques and simulations. The proposed mathematical equations that govern the energy exchange between the HDGS and the load are applied, considering Monte Carlo simulation of all failures and repairs. Thus, for every hour, the amount of energy supplied to the load and any excess energy produced or unmet energy demand are obtained. Three cases are studied, namely only the local load is supplied by the HDGS, the HDGS supplies the local load and the next load, and finally the HDGS supplies two loads based on a provided priority list. Finally, the reliability of the system is studied, and additional case studies and analyses are undertaken.