  This work proposes a cooperative trading scheme for the robust optimal energy
and reserve management in a multiple-microgrid (MMG) system comprising four
microgrids (MGs). This scheme includes a robust optimization (RO) model which
accounts for the uncertainties in the renewable energy source (RES) generation,
the load demand and the energy market prices using a scenario based worst-case
exploration technique. A coordinating entity in the MMG system called a power
sharing operator manages the day-ahead energy and reserve trading between the
MGs and also with the main grid, thereby enabling market clearing within the
MMG 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 also
analysed. Finally, the economic benefits gained by the MMG system under the
proposed RO based cooperative trading scheme are evaluated.
