Distributed wind power plant fan optimized arrangement system and method

A decentralized, wind farm technology, applied in wind power generation, single grid parallel feeding arrangement, etc., can solve the problems that are not well considered and cannot well reflect the impact of the upstream fan wake

Active Publication Date: 2015-12-02
NORTHEASTERN UNIV
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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

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  • Distributed wind power plant fan optimized arrangement system and method
  • Distributed wind power plant fan optimized arrangement system and method
  • Distributed wind power plant fan optimized arrangement system and method

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Embodiment Construction

[0097] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0098] The distributed wind farm fan optimization layout system in this embodiment, such as figure 1 As shown, it includes: data acquisition module: used to obtain wind speed data and wind direction data at any two different heights of the wind measuring tower in the area of ​​the proposed decentralized wind farm, and transmit the obtained data to the DSP controller; terrain Map data acquisition module: used to obtain the contour map and elevation data of the proposed decentralized wind farm area according to SRTM data or GDEM data, and transmit the contour map and elevation data to the DSP controller; the DSP controller: (1) Receive and store the electrical quantity information data of the proposed decentralized wind farm connected to the distribution network from the D5000 system, and at the same time send the electrical quantity in...

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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...

Claims

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Application Information

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IPC IPC(8): H02J3/38
CPCY02E10/76
Inventor 张化光杨珺孙秋野汪刚张瑞孙守道刘鑫蕊杨东升
Owner NORTHEASTERN UNIV
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