Optimal planning and performance estimation of renewable energy model for isolated hilly Indian area

Indian hilly areas are blessed with a lot of potentials of renewable energy sources, yet their residents are facing the problem of power unavailability. This makes their life even more difficult in these isolated areas and creates a hindrance in their holistic development. In this paper, an optimized solar photo voltaic (SPV)/wind energy conversion(WEC)/biogas generator (BGG)/biomass generator (BMG)/micro hydropower system (MHPS)/battery based integrated renewable energy model(IREM) is suggested for satisfying the energy need of different load sectors of the Mori Block, Uttarakashi district, Uttarakhand State, India. An extensive investigation has been done for accessing the demand and potential of locally available renewable energy sources. Genetic Algorithm (GA) technique has been utilized for optimizing various energy cost and emission parameters such as; cost of energy (CE), cost of generation (CG), cost of total energy (COTE), and CO2 emission. The suggested energy model is not only ensures the availability of reliable and economic power supply but also significantly limits the environmental degradation caused by the diesel generator operation in terms of CO2 emission. Further, the suggested optimization technique is also compared with other techniques for establishing its effectiveness in the field of isolated hilly areas electrification and holistic development.