Resilience Framework and Optimal Scheduling for DERs Factoring Uncertainties

Abstract

Enhancing the power system's resilience is an emerging topic due to the increased risks associated with hazardous events. Identifying the factors that influence the power system's resilience can perhaps support the operators in the system to minimize the disturbances in the system. A model to incorporate the consequences of the high-impact low-probability (HILP) events would benefit operators in stabilizing and securing the system against disruptive events. Several resilience frameworks have been drafted over the years. Still, the concept of considering the uncertainties of the system due to the risks caused by HILP for pre and post extreme events was not the focus in the previous research. For post extreme weather events, Distributed Energy Resources (DERs) are proposed to be utilized, but uncertainty in the generation of DERs is also known to impact the operation of the network. This study aims to propose a model considering outage duration due to HILP along with the uncertainties in solar PV-based DERs using the fractional error method of Information Decision Gap Theory.