Decentralized risk‐based security‐constrained optimal power flow in interconnected multi‐carrier microgrids

The security of energy systems has always been one the most important issues operation. multi-carrier multi-microgrid (MCMMG) is novel structures in power system. High penetration renewable resources and their uncertainty, ability to operate isolation mode, presence hubs MCMMG increase importance assessment this type This paper presents a decentralized risk-based security-constrained optimal flow model for an stochastic nature wind energy, photovoltaic generation, electrical heating loads are considered proposed model. In model, risk level system determined by considering both natural gas (NG) networks’ contingencies. decomposed into three types subproblems with augmented Lagrangian relaxation (ALR) method: subproblem related operator level, NG network subproblem, individual microgrid subproblem. problem solved using MATLAB software. According results, can secure from high costs that may impose on due contingency occurrence.