Özet:

The renewable energy sources (RES) are globally recognized as a suitable option for sustainable development in many off-grid applications. Recently, the integrated systems with two or more RES are being paid great attention for electrification of isolated areas and found to be an acceptable solution rather than uneconomical grid extension. In the present study, the integrated renewable energy system (IRES) model is developed using solar, wind, biomass and biogas energy sources to meet the electricity demand of the isolated rural community of Khatisitara village of Gujarat state in India. The operational strategy of IRES model is developed considering the distribution network losses as a system design parameter. The developed IRES model is optimized for minimum net present cost of the system using particle swarm optimization (PSO) algorithm in MATLAB environment. The well-established genetic algorithm (GA) was used to validate the optimization results obtained from PSO. Further, the effects of distribution losses (DL) on the system sizing, reliability and economy have been evaluated. The sensitivity analysis was performed to assess the effect of economically influencing parameters on the developed model. Finally, the break-even analysis was performed for the grid extension distance to examine the economic feasibility of IRES against grid extension. The simulation result shows that the impacts of DL on IRES reliability and economy are significant. Further analysis shows that the IRES using locally available renewable energy sources is a feasible option for rural electrification in considered study area rather than grid extension.<

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