Energy Portfolio-based Joint Flexibility Scheduling of Coordinated Microgrids

This paper aims at co-optimizing day-ahead operation schedules of distributed energy resources (DER) in a coordinated microgrids (MG) cluster to enhance resiliency. The proposed model strategically integrates the potential flexibility provided by the DERs in neighboring MGs, while capturing the joint portfolio flexibilities on an hourly basis scheduling scheme. In this context, the proposed optimization model, which is formulated as a mixed-integer linear programming (MILP) problem, minimizes the total operation cost of the MGs in both normal and emergency cases, where the upstream grid might be unavailable in the latter leading the MGs to work in an autonomous mode. In order to reveal the merits of the proposed model, multiple case studies are investigated through the modified IEEE 16-node test feeder, where we decompose the original system to a 6- and 10-node systems denoted by MG 1 and MG 2, respectively.