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The wind farm micro-siting is an important strategy for reducing the cost of wind energy. In this paper, two different types of wind turbines are considered for a wind farm to take the full advantage of wind resources at different altitudes. The phenotype of the problem is described by an integer encoding method, and a repair operator of genetic algorithm is proposed to handle the position constraint...
In this paper, a particle swarm optimization algorithm with Gaussian mutations, denoted by GPSO, is proposed to solve constrained optimization problems. Two Gaussian mutation operators are employed to search the promising regions for better solutions. One operator is for the region between the personal best position and the global best one. The other operator is for the region around the global best...
Micro-siting of wind turbines is a key technology for wind farm configuration. In this paper, Weibull function is used to describe the probability of wind speed distribution and turbine speed-power curve is employed to estimate turbine power generation. The improved wind and turbine models are formulated into an optimal control framework in terms of minimizing the cost per unit energy of the wind...
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