Based on the analysis of the existing power system，load demand and natural resources in a remote aboriginal community，a wind/biomass/diesel/battery stand-alone microgrid（SAMG）is proposed to replace the current diesel engine（DE）system.According to the operating characteristics of these distributed generators（DGs），an improved load following（ILF）control strategy is presented to improve the renewable energy penetration and decrease the diesel consumption remarkably，and also to optimize the capacity size and operation conditions of the battery energy storage system（BESS）.This ILF strategy uses DE and biomass plant to follow the net load variations at different time scales respectively，and the BESS mainly help to keep the system stabilization.The non-dominated sorting genetic algorithm（NSGA-Ⅱ）is adopted to solve the multi-objective optimization model considering the net present cost（NPC）and the pollutant emission level in the 20 years full life cycle.The results validate the effectiveness of the proposed method，and show that the proposed solution is reasonable and feasible，meeting diverse demands，as an optimization solution.