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Method and system for automatic recommendation of optimal wind power generation set

A wind turbine, the optimal technology, applied in the direction of wind motor combination, wind engine control, engine, etc., can solve the problems of lack of basis, poor accuracy, strong blindness, etc., and achieve strong practicability, high accuracy, and good promotion Effects with Applied Value

Active Publication Date: 2014-12-31
内蒙古电力勘测设计院有限责任公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Since there are many types of fans in actual engineering, in the process of fan selection, it is generally judged by experience, lack of basis, strong blindness, and poor accuracy

Method used

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  • Method and system for automatic recommendation of optimal wind power generation set
  • Method and system for automatic recommendation of optimal wind power generation set
  • Method and system for automatic recommendation of optimal wind power generation set

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Experimental program
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Embodiment Construction

[0019] figure 1 The shown method for automatically recommending an optimal wind turbine starts at step S101.

[0020] In step S101, the original wind measurement data of the area where the wind farm is located is obtained.

[0021] In step S102, analyze the original wind measurement data obtained in step S101.

[0022] In step S103, the safety level of the wind farm is determined according to the analysis result of step S102, and the safety level may be category I, II, or III.

[0023] In step S104, according to the safety level of the wind farm determined in step S103, select all wind turbines that meet the safety level requirements of the wind farm, for example, if the safety level of the wind farm is class II, select all wind turbines with safety class II .

[0024] In step S105, the wind energy frequency distribution of the area where the wind farm is located is calculated according to the analysis results of step S102; The percentage of the sum of wind energy in a per...

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Abstract

The invention provides a method and a system for automatic recommendation of an optimal wind power generation set and belongs to the technical field of design of a wind power plant. The method comprises the steps of an original data obtaining step: obtaining the original wind measuring data of a region where the wind power plant is positioned; an analysis step: analyzing the obtained original wind measuring data; a wind energy frequency distribution computing step: computing the wind energy frequency distribution of the region where the wind power plant is positioned, wherein the wind energy frequency distribution represents the percentage of wind energy of different wind speeds in a certain time period accounting for the wind energy sum in the certain time period; a generating capacity computing step: computing the theoretical generating capacity of each wind power generation set according to the power curve of each wind power generation set and the wind energy frequency distribution; an optimal set selecting step: selecting the wind power generation set with the highest theoretical generating capacity as the optimal wind power generations set. The method and system solve the technical problem of blindness of selection of the wind power generation set in the prior art, so the accuracy of model selection of the wind power generation set is improved.

Description

technical field [0001] The invention relates to the technical field of wind farm design, in particular to a method and system for automatically recommending an optimal wind power unit. Background technique [0002] To carry out a wind power project, wind resource analysis must be carried out first to determine the wind conditions in the wind farm area. The ultimate goal is to determine the wind turbines that are suitable for the wind conditions in the site area and have the highest power generation and investment benefits. Therefore, the quality of wind turbine selection directly affects the final benefits of wind power projects, so the selection of wind turbines is particularly important. [0003] Because there are many types of fans in actual engineering, in the process of fan selection, it is generally judged by experience, lack of basis, strong blindness, and poor accuracy. Contents of the invention [0004] Aiming at the above problems, the present invention proposes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F03D9/00F03D7/00
CPCY02E10/72
Inventor 杨晓峰彭怀午
Owner 内蒙古电力勘测设计院有限责任公司
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