Abstract
This paper presents an optimized design of a stand-alone multisource hybrid power system. The power system includes such sources as wind farm, photovoltaic array, diesel generator, and battery bank based on an evolutionary algorithm. In this work, the battery bank has been used to cover the emergency loads energy. For this approach, economic aspects such as interest rate, inflation, capital recovery factor, and sinking found factor are expressed for each power source, and then an objective function with the aim of minimizing of all system costs is clarified. A genetic algorithm approach is employed to obtain the best cost value of hybrid power system construction. Simulation results show this method calculating the electrification costs (capital cost, replacement costs, operation and maintenance cost, and fuel cost) over a period of 20 years for two different cases.
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