Vahid Farhangmehr

Given the significant role played by genetic algorithms in different industries, the present study aimed to present an approach to optimize, develop and innovate for maintenance of wind hybrid turbines according to such algorithms. For this purpose, an overview on development and optimization process for turbines maintenance based on genetic algorithm is initially presented. Then, each part of a hybrid wind turbine system, including wind turbine, micro-hydro power, electrolyzer, hydrogen tank, fuel cell and inverter, is described and the corresponding equations are taken into consideration. Finally, our proposed turbines maintenance optimization procedure using genetic algorithm is presented. The simulation results provided an optimum configuration consist of 19.85 Tons of hydrogen tanks, 610kW of micro-hydro unit and 21 units of wind turbine with each capacity is 100kW. The annual cost of system is US$ 2.08 million, while the annual capital cost is US$ 1.35 million. This system concluded to be useful in Manjil and Rudbar Wind Farm.