Generalized Stochastic Petri Nets (GSPN) for Analysis of Microgrid under Uncertainities

Abstract

Petri Nets (PNs) are extensively used to illustrate and analyze industrial systems performance under both discrete and continuous-time event conditions. Endeavor to utilize Petri Nets for building a smart grid, specially a microgrid system leads to major challenges for secure, automated and energy competent operations. This is due to uncertain function of energy resources and loads integrated into microgrid. This work proposes to promote microgrid modeling by considering variability in renewable energy resources and stochastic load profile showing indicative results depicted as under parallel computing task by Petri Nets. With the knowledge of economic green energy application, a comprehensive model has been prepared using Generalized Stochastic Petri Nets (GSPN) to reflect deliverable features of microgrid. A reachability graph is generated by useful marking to analyze the entire system properties.