A genetic algorithm-based method for optimizing the arrangement of wind turbines in wind farms that can guarantee a safe distance
A technology of wind power generators and safety distance, which is applied in computing, data processing applications, forecasting, etc., and can solve problems such as low quality of optimization results and narrowing of search domains
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[0031] In this embodiment, the wind turbine arrangement and type selection optimization is performed on a certain wind farm before the generator is built. A wind turbine with a rated power of 1.5MW and a diameter of the fan blade surface of 80m is installed in the square wind farm area with a side length of 2 kilometers. The number of installed fans is 7. Now assume that the wind farm area is [0,2000] (m) in abscissa and [0,2000] (m) in ordinate, and the feasible region of the genetic algorithm is a two-dimensional plane within this range. In this implementation example, the wind farm is built in In the plain, the rough length is 0.3 meters, regardless of the influence of complex terrain. The optimization goal is to keep the wind turbine safety distance of 5D at the lowest kWh cost of the whole wind farm. The whole process flow is as follows figure 1 shown. The implementation steps are as follows:
[0032] 1) According to the topographic and meteorological characteristics o...
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