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A wind power plant generating capacity loss measuring method and system based on draught fan SCADA data

A measurement method and power generation technology, applied in data processing applications, information technology support systems, forecasting, etc., can solve the problems of reducing operation and maintenance costs, neglecting the complexity of fan operation, and insufficient factors affecting fan performance. Maintenance costs and the effect of improving fan operation and maintenance efficiency

Inactive Publication Date: 2019-05-24
BEIJING PUHUA YINENG WIND POWER TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of these models have a certain degree of uncertainty; and the ignorance of the complexity of wind turbine operation brought about by the simplification in the modeling process
In addition, these studies require a large amount of high-quality historical fault data, which brings great challenges to the research and application of such methods
[0004] Therefore, the defect in the prior art is that the existing wind turbine power generation evaluation method is not comprehensive enough to consider the factors affecting the performance of the wind turbine, and cannot accurately evaluate the performance of the wind turbine, and thus cannot effectively maintain the wind turbine, reducing the operation of the wind turbine. At the same time, the use of a large number of single-blade wind turbines makes it difficult for the entire wind farm to reduce operation and maintenance costs and improve power generation efficiency

Method used

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  • A wind power plant generating capacity loss measuring method and system based on draught fan SCADA data
  • A wind power plant generating capacity loss measuring method and system based on draught fan SCADA data
  • A wind power plant generating capacity loss measuring method and system based on draught fan SCADA data

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Effect test

Embodiment 1

[0065] first, figure 1 It shows a flow chart of a method for measuring the loss of wind farm power generation based on wind turbine SCADA data provided by an embodiment of the present invention; figure 1 As shown, Embodiment 1 provides a method for measuring the loss of wind farm power generation based on wind turbine SCADA data, including:

[0066] Step S1, obtaining wind turbine SCADA data and on-site wind tower data;

[0067] Step S2, screening and processing the SCADA data of the wind turbine and the data of the on-site wind measuring tower, screening the abnormal record value and downtime in the SCADA data of the wind turbine, and establishing a complete data set;

[0068] Step S3, according to the data set, establish the fan performance evaluation index;

[0069] In step S4, the power generation loss of the wind farm is calculated based on the wind turbine performance evaluation index.

[0070] The method for measuring the power generation loss of a wind farm based on...

Embodiment 2

[0166] As a preferred embodiment of the present invention, the SCADA data of the fan in Embodiment 1 often contains a large number of abnormal operating points that do not conform to the normal output characteristics of the fan. For example, at a relatively large measured wind speed, the fan power is much lower than the standard value or even 0. There are many reasons for this. Such as fan unit failure, maintenance shutdown, unit limited output operation, wind speed sensor failure, etc. This will directly affect the stability and accuracy of the fan performance evaluation. Based on this, this embodiment automatically identifies and processes the abnormal data in the fan SCADA data. The specific scheme is as follows:

[0167] Classify the abnormal data, and the abnormal data are mainly marked into three categories: the abnormal data of the bottom wind stop, the abnormal data of the power limit in the middle, and the rest of the scattered abnormal data.

[0168] Taking a double...

Embodiment 3

[0188] In this embodiment, the wind farm power generation loss measurement method based on fan SCADA data described in the first embodiment, the fan applicable to it may be a double-blade wind generator with the following specific structure, and the wind generator with this structure The power generation efficiency has been significantly improved.

[0189] see Figure 5 , 6 ,in Figure 5 Schematic diagram of the structure of the dual-blade wind power generator provided in this embodiment, Image 6 The principle diagram of the impeller speed combining mechanism provided for this embodiment.

[0190]In order to effectively utilize wind energy and increase power generation, the present embodiment provides the following wind generator, including: a first-stage impeller 1, a second-stage impeller 2, and an impeller speed combining mechanism; the impeller speed combining mechanism has a first input shaft 31, The second input shaft 32, the first output shaft 41 and the second out...

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Abstract

The invention discloses a wind power plant generating capacity loss measuring method and system based on draught fan SCADA data. The method comprises the steps that the draught fan SCADA data and on-site anemometer tower data are obtained; screening processing is conducted on the draught fan SCADA data and the field anemometer tower data, abnormal record values and shutdown time in the draught fanSCADA data are screened, and a complete data set is established; Establishing a fan performance evaluation index according to the data set; and calculating to obtain the power generation loss of thewind power plant through the fan performance evaluation index. According to the invention, a neural network technology and a random process theory are combined; SCADA data of the draught fan are analyzed, a draught fan operation behavior model is established, indexes for evaluating the draught fan operation performance are provided. The power generation amount loss of the draught fan is obtained through calculation, and the draught fan operation and maintenance efficiency is improved and the maintenance cost is reduced through a data-driven draught fan performance evaluation method.

Description

Technical field: [0001] The invention relates to the field of wind power, in particular to the field of a method and a system for measuring the loss of power generation of wind farms based on SCADA data of wind turbines. Background technique: [0002] Wind farms are capital-intensive projects, of which construction investment, wind turbine manufacturing and installation, and grid-connected systems account for 80%, and operation and maintenance costs account for 20%. Therefore, it is in the main interests of investors to keep wind turbines working at relatively high efficiency and formulate optimal maintenance strategies, especially in the complex and harsh working environment of offshore wind farms, it is more important to maintain high performance and stable operation of wind turbines. [0003] The main way to reduce operation and maintenance costs is to improve the performance of wind turbines and optimize maintenance strategies. In order to achieve high-performance and s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q10/04G06Q10/00G06Q50/06
CPCY04S10/50
Inventor 王吉远张超龙泉张耀文王朝刘澈赵树良弥崧欧阳磊李新宇石一迪
Owner BEIJING PUHUA YINENG WIND POWER TECH
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