Abstarct: The two issues of global warming and energy supply for its inhabitants are among the most important concerns of mankind today. These concerns have made energy sources more important, especially renewable sources. By turning to these sources, human energy can be provided at a lower cost and less pollution, compared to electricity production with fossil fuels. In this study, a solar/wind/biomass-baxsed grid-independent hybrid system has been considered for electrification of a remote village in Semnan province, Iran. The combined system includes wind turbines and photovoltaic panels as main sources and biogas generator and energy storage as backup system. In this research, the exploratory particle swarm optimization algorithm is used to optimize the proposed hybrid system to create a cost-effective, reliable and environmentally friendly design. The decision-making variables in this work were the type and number of wind turbines, number of storage units, capacity of solar panels, and the capacity of biogas generator. For the optimal design of hybrid systems, a comprehensive modeling baxsed on two energy management strategies is presented. In the following, the effect of wind turbine model changes on the optimal design of different hybrid systems baxsed on different reliability capabilities (0 to 10%) was investigated. Also, the effect of the changes of the influencing parameters (inflation rate and biomass price) on the optimal design of various types of combined wind/solar/biomass/energy storage systems was analyzed. In the following, the rate of penalty for the emission of environmental pollutants of the power plant is considered. Finally, the optimal combined systems with a single diesel generator system were compared and analyzed economically and environmentally. The optimization results show the superiority of the combined wind/solar/biomass/battery system compared to other investigated systems. Finally, for valid evaluation of the results, once again using Homer Pro software, optimal systems were considered in two inflation rates and compared with the previous results. In the environmental discussion, the comparison between the optimal systems with the system baxsed on diesel generators in the same conditions for electricity supply, showed that by using optimal hybrid systems instead of diesel generators, the amount of carbon dioxide emitted decreases by more than 97%. Also, the results indicate the direct effect of changes in inflation rate, percentage of uncertainty and biomass price on energy cost and carbon dioxide emission.