In this paper, multiobjective optimization is proposed for evaluating the sustainable synthesis/design and operation of sets of small renewable and non-renewable energy production technologies coupled to power production/transmission/ distribution networks via microgrids. The optimization is conducted over a quasi-stationary twenty four hour, winter period. Partial load behavior of the generators is included by introducing non-linear functions for efficiency, costs and emissions as a function of the electricity generated by each technology. A new index for resiliency is included in the multiobjective optimization model in order to account for the capacity of the power network system to self-recover to a new normal state after experiencing an unanticipated catastrophic event. Since sustainability/resiliency indices are typically not expressed in the same units, fuzzy logic and an explicit set of weighting factor methods are employed to calculate a composite sustainability-resiliency index. Results indicate for the particular problem posed that the inclusion of microgrids into the network leads to a better overall network efficiency, a reduction in life cycle costs, and an improved network resiliency. On the other hand, total life SO2 emissions and network reliability are not improved for this particular case when microgrids are included.