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Dynamic selection method for sample fan

A fan and sample technology, which is applied in the field of new energy power generation dispatching, can solve the problems such as selection standards for sample fans of wind farms that have not yet been formed, and achieve the effect of improving the utilization rate of clean energy, improving the operation level, and improving the accuracy

Active Publication Date: 2016-10-26
NARI TECH CO LTD +3
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there is no standardized and effective selection standard for wind farm sample fans

Method used

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  • Dynamic selection method for sample fan
  • Dynamic selection method for sample fan
  • Dynamic selection method for sample fan

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Embodiment Construction

[0027] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0028] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0029] like figure 1 As shown, a wind farm is divided into several wind turbine clusters according to factors such as wind turbine type and capacity, wind farm terrain and layout, and G1 represents the first wind turbine cluster, which contains n1 wind turbines. Similarly, cluster G2 Contains n2 fans, and so on.

[0030] like figure 2 As shown, a dynamic selection method for a sample fan includes the following steps:

[0031] Step 1: Divide the wind turbines in the wind farm into several wind turbine fleets based on spatial scales according to factors such as wind turbine type and capacity, wind farm topography and layout.

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Abstract

The invention discloses a dynamic selection method for a sample fan. The method comprises the steps of: dividing the active outputs of fans into a plurality of samples based on time and space scales according to the factors including fan type, terrain, climate and the like, fitting an active output curve of each fan under the sample based on the total active output of a wind power plant and the installed capacity allocation, thus selecting the sample fan. According to the method, in comprehensive consideration of the factors including fan type, terrain, climate and the like, the sample fan is selected according to different seasons, so that the selected sample fan is more representative and more adaptive to the regions having obvious topographic relief and seasonal difference, the overall practical power generation capability of the wind power plant can be accurately reflected, the accuracy of abandoned wind power statics of the wind power plant is improved, the scheduling operation level of grids is promoted, the coordinative development of wind power planning and grid planning is promoted, and the utilization rate of clean energy is improved.

Description

technical field [0001] The invention belongs to the field of new energy power generation dispatching, and relates to a method for dynamically selecting a sample fan. Background technique [0002] In recent years, with the continuous increase in the number of wind farms and the expansion of the construction scale of wind farms, wind power has become an important part of grid power. many adverse effects. Restricted by factors such as grid peak shaving limitations and grid transmission capacity, there are wind abandonment phenomena during the actual wind power grid-connected operation. [0003] The statistical method of wind curtailment, which uses the power generated by sample wind turbines to restore the theoretical power generated by wind farms, and then estimates the curtailed wind power of wind farms, has been recognized by most wind farms. In January 2013, the State Electricity Regulatory Commission issued the "Calculation Method for Abandoned Wind Power of Wind Farms (...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06
Inventor 李耀华曹敬王鸘苏适程炜杨文波章汉军王炜周荣虎邓兴益岑红星
Owner NARI TECH CO LTD
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