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This work proposes a cooperative trading scheme for the robust optimal energyand reserve management in a multiple-microgrid (MMG) system comprising fourmicrogrids (MGs). This scheme includes a robust optimization (RO) model whichaccounts for the uncertainties in the renewable energy source (RES) generation,the load demand and the energy market prices using a scenario based worst-caseexploration technique. A coordinating entity in the MMG system called a powersharing operator manages the day-ahead energy and reserve trading between theMGs and also with the main grid, thereby enabling market clearing within theMMG system. The proposed scheme is based on the iterative sub-gradient method.The results showcase the convergence characteristics of the proposed scheme.Moreover, the tradeoff between the energy and reserve costs in each MG are alsoanalysed. Finally, the economic benefits gained by the MMG system under theproposed RO based cooperative trading scheme are evaluated.

Robust Optimal Energy and Reserve Management of Multiple-Microgrids via Cooperative Bidding