Distributed wind power plant fan optimized arrangement system and method

Abstract

The invention provides a distributed wind power plant fan optimized arrangement system and a method and belongs to the technical field of distributed wind power generation programs. The system comprises a data collection module, a topographic map data acquisition module, a digital signal processor (DSP) controller, a load flow calculation module, a maximum switched-in capacity analysis module, a fan optimized arrangement and calculation module and a graphic display module. The method comprises the steps of determining a region for a to-be-established distributed wind power plant, a location for the to-be-established distributed wind power plant to access to a power distribution network, the capacity of the to-be-established distributed wind power plant and the fan number of the to-be-established distributed wind power plant; establishing at least one anemometer tower in the region for the to-be-established distributed wind power plant, calculating the wind shear coefficient and the wind profile function of the anemometer tower to figure out the wake loss so as to obtain the actual wind speed and finally calculating the Weibull distribution function; establishing a constraint condition and an objective function for fan optimized arrangement; optimizing the positions of fans based on the taboo invasive weed algorithm to obtain a fan arrangement optimized solution; finely tuning the positions of fans, and displaying a final topographic map containing the region for the to-be-established distributed wind power plant equipped with fans.

Description

Technical field [0001] The invention belongs to the technical field of distributed wind power generation planning, and in particular relates to a system and method for optimizing the layout of wind turbines in a distributed wind farm. Background technique [0002] The large-scale centralized development of wind power has brought problems of consumption, wind curtailment, and power rationing. Distributed wind power is not aimed at large-scale long-distance transmission, and the generated power is connected to the grid nearby and consumed locally, which can reduce the cost of power transmission and distribution expansion, improve the local reliability of the grid, and improve the grid voltage, etc. advantage. However, due to the randomness and volatility of wind energy resources, the complexity of the topography of the wind farm area, the wake effect and the change of turbulence intensity, and the limitation of access to substations, the complexity of the layout of distribute...

AI Technical Summary

Problems solved by technology

The wake model mostly adopts the JENSEN straw hat linear wake model, and its wake loss wind speed model is a top hat shape, which does not take into account the influence of turbulence well, and cannot well reflect the wake influence of the upstream fan on the downstream fan.

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