Economic and technical issues have contributed to difficulties experienced in accessing or supply of electricity in areas far away from the main electrical grids, such as islands. However, the implementation of the microgrids, integrated with the renewable energy sources, has contributed to ensuring that these areas are supplied with electricity. Besides, systems incorporating renewable energy and energy storage systems (ESSs) have and continue to play a significant role as an energy supply solution for these areas, through improved reliability and efficiency of the system. In full appreciation of the impacts of ESS, a novel multi-objective intelligent scheduling formulation is proposed that considers batteries life loss cost, operation cost, and uncertainty costs associated with the variability of renewable sources. Mitigation of issues due to intermittency of renewable energy sources through ESSs is demonstrated, using a non-dominated genetic algorithm (NSGA II). The test system used corresponds to a microgrid in an island with similar features of a real microgrid in Dongfushan Island in China.