Optimization design of wind turbine drive train based on Matlab genetic algorithm toolbox
نویسندگان
چکیده
منابع مشابه
Aerodynamic Optimal Design of Wind Turbine Blades using Genetic Algorithm
Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an obj...
متن کاملAerodynamic optimal design of wind turbine blades using genetic algorithm
Wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. In the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (BEM), and a genetic algorithm (GA) is applied as an optimization method. Output power generation is considered as an...
متن کاملaerodynamic optimal design of wind turbine blades using genetic algorithm
wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. in the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (bem), and a genetic algorithm (ga) is applied as an optimization method. output power generation is considered as an obj...
متن کاملaerodynamic optimal design of wind turbine blades using genetic algorithm
wind power has been widely considered and utilized in recent years as one of the most promising renewable energy sources. in the current research study, aerodynamic analysis of the upwind three-bladed horizontal axis turbine is carried out using blade element momentum theory (bem), and a genetic algorithm (ga) is applied as an optimization method. output power generation is considered as an obj...
متن کاملThe MATLAB Genetic Algorithm Toolbox
Genetic algorithms (GAs) are stochastic global search and optimization methods that mimic the metaphor of natural biological evolution [1]. GAs operate on a population of potential solutions applying the principle of survival of the fittest to produce successively better approximations to a solution. At each generation of a GA, a new set of approximations is created by the process of selecting ...
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ژورنال
عنوان ژورنال: IOP Conference Series: Materials Science and Engineering
سال: 2013
ISSN: 1757-8981,1757-899X
DOI: 10.1088/1757-899x/52/5/052013