OPTIMAL SIZING OF GRID-CONNECTED HYBRID POWER SYSTEM IN QESHM ISLAND IN PERSIAN GOLF OF IRAN

This paper presents an optimized design of grid-connected multi sources hybrid power system includes sources like, photovoltaic array, Electrolyzer, Fuel cell, H2-Tank and grid electricity based on Genetic Algorithm (GA). In this work, grid electricity has been used to cover demand loads when renewable sources couldn't produce enough energy. For this approach, economic aspects such as interest rate, inflation, capital recovery factor, sinking found factor have been expressed for each power sources, and then an objective function with aim to minimizing of all system costs, has been clarified. A genetic algorithm approach is employed to obtain the best cost value of hybrid power system construction. Simulation results show this method calculates the electrification costs (capital cost, replacement costs, operation and maintenance cost) over a period of 20 years for a residential part of QESHM located in Persian Golf of IRAN