Optimal arrangement method and system for fans of offshore wind plant

Abstract

The invention discloses an optimal arrangement method and system for fans of an offshore wind power plant, and belongs to the technical field of offshore wind power generation. The method comprises the steps: S1, uniformly dividing a wind power plant region into n * n grids, and arranging the fans at the intersection points of the grids; S2, randomly generating M groups of arrangement schemes; S3, setting the generating capacity of the fans with the distance smaller than the distance threshold value in each group of arrangement scheme to be zero, calculating the wake flow efficiency of the wind power plant corresponding to each group of arrangement scheme, and using thewake flow efficiency as a fitness value; if the fitness value is greater than the wake flow efficiency threshold value, taking the arrangement scheme corresponding to the maximum value in the fitness values as the optimal arrangement scheme; otherwise, executing S4; S4, if the number of cycles is smaller than the cycle threshold value, executing S5; and otherwise, executing S6; S5, randomly copying the M groups of arrangement schemes from the M groups of arrangement schemes, carrying out crossover and mutation operations, and skipping to S3; and S6, setting n = 2n, and skipping to S1. The power generation efficiency of an offshore wind plant can be greatly improved.

Description

technical field [0001] The invention belongs to the technical field of offshore wind power generation, and more specifically relates to a method and system for optimizing the arrangement of wind turbines in an offshore wind farm. Background technique [0002] With the promotion of online bidding policies in the wind power industry, the need to increase revenue and reduce costs is becoming more and more urgent. In the past, most wind turbine layouts were manually arranged, and subjective factors were greatly affected, making it difficult to achieve true optimization of machine position layout. The intelligent algorithm is introduced into the arrangement of wind turbines to automatically search for the optimal layout of wind turbines, which can make full use of wind farm resources and improve economic benefits. [0003] In the prior art, in order to avoid the situation that the fan distances are too close in the optimization process using the random search algorithm, the grid ...

AI Technical Summary

Problems solved by technology

However, due to the large grid spacing, the number of wind turbine location candidate points is not enough to simulate all possible locations of wind turbines, and the error of using grid intersection points to simulate wind turbine positions is too large. When the field is optimized, the wake efficiency of the arrangement result is difficult to meet the construction requirements

By improving the grid precision of wind farms, the degree of freedom of wind turbine layout will be increased, and the wake loss can be greatly reduced; however, there is no effective solution to the wake effect problem caused by too close distance between wind turbines in high-precision grids

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