Feasibility and Optimal Reliable Design of Renewable Hybrid Energy System for Rural Electrification in Iran

A hybrid hydro/wind/photovoltaic base on hydrogen storage system is designed to supply power demand. The aim of the optimization problem is minimization of net present cost of the hybrid system to reliable supply of the demand. The system is investigated in the north west of Iran (Meshkinshahr) and the local data is applied. About 12 villages (corresponding to 680 people) are found in the upper Blue Qarahsou river gorge and far remote areas, which makes the task of their electrification via grid system very difficult. The hydro potentials are analyzed with the help of GIS data of Iran. Meteorological data from renewable energy organization (SUNA) of Iran and other sources, such as NASA, is used for the estimation of solar and wind energy potentials. In this paper, hydro/PV/wind/ fuel cell hybrid system is compared with above system without hydro unit. An advanced variation of genetic algorithm (GA) is proposed to solve the optimization problem. The developed algorithm is compared with HOMER software and the results show that GA accuracy is better than HOMER software. Result reveals the effects of components outages on the reliability and cost of the proposed hybrid system. Thus, they are directly dependent on component’s reliabilities, i.e. Outages result need for a larger generating system for supplying the load with the acceptable reliability. Different system types and their component sizes are identified having a cost of energy less than 0.3 $/KWh.

Keywords:

Feasibility; Hybrid; Optimization; Reliability; Genetic Algorithm; HOMER software,

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