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Wind power plant generating capacity evaluation and micro-siting model establishment method

A technology of micro-site selection and model establishment, applied in neural learning methods, biological neural network models, instruments, etc., can solve the problems affecting the power generation evaluation of wind farms and the efficiency and accuracy of micro-site selection, and the accuracy of analytical models depends on empirical parameter selection. , the problem of large amount of calculation, etc.

Inactive Publication Date: 2021-05-18
CHINA THREE GORGES CORPORATION
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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the existing computational fluid dynamics model has a large amount of calculation, takes a long time to calculate, and is difficult to meet the requirements of engineering applications, and the accuracy of the analytical model depends heavily on the selection of empirical parameters, and the derivation process needs to use a large number of assumptions. There is a large uncertainty in the results, which will affect the technical issues of wind farm power generation evaluation and micro-site selection efficiency and accuracy

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  • Wind power plant generating capacity evaluation and micro-siting model establishment method
  • Wind power plant generating capacity evaluation and micro-siting model establishment method
  • Wind power plant generating capacity evaluation and micro-siting model establishment method

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Embodiment Construction

[0036] Such as figure 1 As shown, a wind farm power generation evaluation and micro-site selection model establishment method, it includes the following steps:

[0037] Step 1: Collect as many wind farm operation cases and related data information as possible, including but not limited to free flow wind speed and direction data (such as wind tower observation data), wind turbine parameters, wind turbine layout location, wind speed in the wind turbine nacelle, and wind turbine operation status and power generation, etc.;

[0038] Carry out data cleaning for the collected wind farm data, and eliminate the overall data of the wind farm when a single or multiple wind turbines cannot operate normally due to failures, shutdowns and other factors, and the data monitoring abnormal period, to ensure the normal operation of all wind turbines in the used wind farm data set And there is no abnormality in data monitoring;

[0039] Step 2: Referring to the computational fluid dynamics mod...

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Abstract

A wind power plant generating capacity evaluation and micro-siting model establishment method comprises the following steps: 1, collecting wind power plant operation cases and related data information, and establishing a space grid containing a certain range, 2, taking a single wind driven generator as a sample, establishing a corresponding fan arrangement matrix according to the divided space grid, and distinguishing the positions of the fans in the matrix through different digital labels; and 3, determining an input and output sample set, carrying out iterative training on the machine learning model by adopting the training sample set, and carrying out model testing by adopting the test data set after the training is completed; 4, taking the trained machine learning model as a wind power plant generating capacity evaluation and micro-siting model, and calculating the corresponding generating capacity of a to-be-estimated fan. The objective of the invention is to solve the technical problems of large calculation amount, long calculation time and difficulty in meeting engineering application requirements of an existing computational fluid dynamic model.

Description

technical field [0001] The present invention relates to the field of new energy power generation, in particular to a method for evaluating wind farm power generation and establishing a microscopic site selection model, which can be applied to preliminary planning, power generation calculation, economic benefit evaluation, and unit scheduling of offshore wind farms or flat terrain wind farms. Layout optimization and other work. Background technique [0002] In the planning and design of wind farm development, micro-site selection is a very important link, which affects the power generation efficiency of the entire wind farm. A reasonable micro-site selection plan needs to accurately evaluate the expected power generation of wind turbines at different locations in the wind farm planning area, and on this basis, optimize the arrangement of the entire wind turbine to achieve the optimal power generation efficiency of the entire field. . For offshore wind farms and wind farms w...

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Application Information

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IPC IPC(8): G06F30/27G06N3/08G06Q50/06G06F111/06
CPCG06F30/27G06Q50/06G06N3/08G06F2111/06Y04S10/50
Inventor 易侃张皓张子良王浩
Owner CHINA THREE GORGES CORPORATION
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