Real-coded genetic algorithm-based optimizing method for micrositing of wind power station
A genetic algorithm and micro-site selection technology, applied in wind power generation, wind turbine combination, genetic model, etc., can solve the problems of wind turbines' annual utilization hours not meeting the design requirements, low return on investment, and large workload.
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[0049] The wind farm optimization micro-site selection method based on genetic algorithm adopts the exponential method to correct the measured wind speed of the wind farm to the height direction, adopts the linearized discrete for the power characteristics of the wind turbine, and adopts the linearized wake model for the wake of a single wind turbine. The difference-square accumulation method is used for the wind speed of the wind turbine in the wake of multiple wind turbines, and the situation that the wind turbine is partially in the wake is considered. At this time, the area coefficient correction is used to determine the optimization goal of micro-site selection in the design of wind farms. When the total number of wind turbines is determined, the total power generation is selected as the objective function. When the total number of wind turbines in the wind farm is not determined, it is necessary to determine the number of wind turbines and the micro-address of the arrangem...
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