CN114298512A - Wind turbine generator set power characteristic analysis method - Google Patents

Wind turbine generator set power characteristic analysis method Download PDF

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Publication number
CN114298512A
CN114298512A CN202111563596.2A CN202111563596A CN114298512A CN 114298512 A CN114298512 A CN 114298512A CN 202111563596 A CN202111563596 A CN 202111563596A CN 114298512 A CN114298512 A CN 114298512A
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China
Prior art keywords
wind turbine
turbine generator
wind
data
typical
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Pending
Application number
CN202111563596.2A
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Chinese (zh)
Inventor
徐佳宇
王�华
江志文
田文强
齐城龙
李亚鹏
杨群
邬朝荷
勾延旭
冯伟
王宝
乔光耀
巴根那
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Datang Bayannur Wind Power Generation Co ltd
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Datang Bayannur Wind Power Generation Co ltd
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Priority to CN202111563596.2A priority Critical patent/CN114298512A/en
Publication of CN114298512A publication Critical patent/CN114298512A/en
Pending legal-status Critical Current

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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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Abstract

Provided is a wind turbine generator power characteristic analysis method. A large number of wind turbines are subjected to quality assurance and acceptance, and the demand for evaluating the power characteristics of the wind turbines is very large. The invention comprises the following steps: selecting a typical wind turbine generator; testing a typical wind turbine generator to obtain the hub wind speed under the standard air density; verifying master control operation data of the wind turbine generator and correcting cabin wind speed data; based on a data mining theory and method, a hub height wind speed model is established by using measurement data and SCADA data of a typical wind turbine generator; applying a data model of the hub height wind speed of a typical wind turbine generator to other wind turbine generators in a wind power plant, and calculating the hub height free flow wind speed of the wind turbine generator to be evaluated by combining SCADA data; and calculating a power curve of the wind turbine generator to be evaluated to obtain the power curve of the wind turbine generator and a power curve guarantee value. The method is used for analyzing the power characteristics of the wind turbine generator.

Description

Wind turbine generator set power characteristic analysis method
Technical Field
The invention relates to a wind turbine generator power characteristic analysis method.
Background
The power characteristic of the wind turbine is one of important performance indexes directly related to the generated energy of the wind turbine, and reflects the relationship between the free flow wind speed and the net power output by the wind turbine. The poor power characteristics of the wind turbine means that the generated energy of the wind turbine with the same capacity is low, which means that investment suppliers cannot get due returns, so the power characteristics are greatly concerned by wind turbine manufacturers and wind farm developers.
A large number of wind turbines are subjected to quality assurance and acceptance, the demand for evaluating the power characteristics of the wind turbines is very large, and a convenient and economic method for preliminarily evaluating the power characteristics of the wind turbines is urgently needed.
Disclosure of Invention
The invention aims to provide a wind turbine generator power characteristic analysis method.
The above purpose is realized by the following technical scheme:
a wind turbine generator power characteristic analysis method comprises the following steps:
(1) selecting a typical wind turbine generator;
(2) testing a typical wind turbine generator to obtain the hub wind speed under the standard air density;
(3) verifying master control operation data of the wind turbine generator and correcting cabin wind speed data;
(4) based on a data mining theory and method, a hub height wind speed model is established by using measurement data and SCADA data of a typical wind turbine generator;
(5) applying a data model of the hub height wind speed of a typical wind turbine generator to other wind turbine generators in a wind power plant, and calculating the hub height free flow wind speed of the wind turbine generator to be evaluated by combining SCADA data;
(6) and calculating a power curve of the wind turbine generator to be evaluated to obtain the power curve of the wind turbine generator and a power curve guarantee value.
The wind turbine generator power characteristic analysis method comprises the following specific processes in the step (2): installing a wind measuring tower in the upwind direction of the main wind direction of a typical wind turbine generator, wherein the distance is 2 times to 4 times of the diameter of a wind wheel;
mounting an anemometer, a wind vane, a thermometer and a barometer on a wind measuring tower with the same height as a hub of a typical wind turbine generator to obtain wind direction data through testing, wherein the requirements of the test sampling rate and the average period are respectively more than or equal to 1Hz and 10 min;
and according to the wind direction data, eliminating the wind speed data of the affected sector.
The wind turbine generator power characteristic analysis method comprises the following specific processes in the step (3): the method comprises the following steps that a main control system of the wind turbine generator outputs main control operation data as theoretical data, wherein the main control operation data comprises an engine room wind speed and an output power signal;
and verifying whether the main control operation data is the same as the actual measurement data.
Has the advantages that:
1. the result accuracy of the invention is high: the data of a typical wind turbine are derived from actual test data, a data model of the hub height free stream wind speed is based on the test data and necessary SCADA parameters, and the most appropriate model is selected by controlling the root mean square error of the model, so that the accuracy of wind speed evaluation can be improved.
2. The method can economically and efficiently evaluate the power characteristic curve of the wind turbine generator, only one representative wind turbine generator needs to be measured in one wind power plant, the operation data of the existing wind turbine generator main control system are fully utilized, and the power characteristics of all the wind turbine generators of the same model in the wind power plant can be evaluated.
3. According to the method, 2-minute average data is adopted when the transfer function of the wind turbine generator is determined, so that the accuracy of the obtained wind speed transfer function of the wind turbine generator is guaranteed, the testing efficiency is guaranteed, and the testing time is controlled within 1 month.
Description of the drawings:
FIG. 1 is a flow chart of the present invention.
The specific implementation mode is as follows:
example 1:
a wind turbine generator power characteristic analysis method comprises the following steps:
(1) selecting a typical wind turbine generator;
(2) testing a typical wind turbine generator to obtain the hub wind speed under the standard air density;
(3) verifying master control operation data of the wind turbine generator and correcting cabin wind speed data;
(4) based on a data mining theory and method, a hub height wind speed model is established by using measurement data and SCADA data of a typical wind turbine generator;
(5) applying a data model of the hub height wind speed of a typical wind turbine generator to other wind turbine generators in a wind power plant, and calculating the hub height free flow wind speed of the wind turbine generator to be evaluated by combining SCADA data;
(6) and calculating a power curve of the wind turbine generator to be evaluated to obtain the power curve of the wind turbine generator and a power curve guarantee value.
Example 2:
according to the method for analyzing the power characteristics of the wind turbine generator set in the embodiment 1, the specific process of the step (2) is as follows: installing a wind measuring tower in the upwind direction of the main wind direction of a typical wind turbine generator, wherein the distance is 2 times to 4 times of the diameter of a wind wheel;
mounting an anemometer, a wind vane, a thermometer and a barometer on a wind measuring tower with the same height as a hub of a typical wind turbine generator to test and obtain wind direction data, wherein the test sampling rate and the average period are respectively more than or equal to 1Hz and 10 min;
and according to the wind direction data, eliminating the wind speed data of the affected sector.
Example 3:
according to the wind turbine generator power characteristic analysis method in the embodiment 1 or 2, the specific process of the step (3) is as follows: the method comprises the following steps that a main control system of the wind turbine generator outputs main control operation data as theoretical data, wherein the main control operation data comprises an engine room wind speed and an output power signal;
and verifying whether the main control operation data is the same as the actual measurement data.

Claims (3)

1. A wind turbine generator power characteristic analysis method is characterized by comprising the following steps: the method comprises the following steps:
(1) selecting a typical wind turbine generator;
(2) testing a typical wind turbine generator to obtain the hub wind speed under the standard air density;
(3) verifying master control operation data of the wind turbine generator and correcting cabin wind speed data;
(4) based on a data mining theory and method, a hub height wind speed model is established by using measurement data and SCADA data of a typical wind turbine generator;
(5) applying a data model of the hub height wind speed of a typical wind turbine generator to other wind turbine generators in a wind power plant, and calculating the hub height free flow wind speed of the wind turbine generator to be evaluated by combining SCADA data;
(6) and calculating a power curve of the wind turbine generator to be evaluated to obtain the power curve of the wind turbine generator and a power curve guarantee value.
2. The method for analyzing the power characteristics of the wind turbine generator set according to claim 1, wherein: the specific process of the step (2) is as follows: installing a wind measuring tower in the upwind direction of the main wind direction of a typical wind turbine generator, wherein the distance is 2 times to 4 times of the diameter of a wind wheel;
mounting an anemometer, a wind vane, a thermometer and a barometer on a wind measuring tower with the same height as a hub of a typical wind turbine generator to test and obtain wind direction data, wherein the test sampling rate and the average period are respectively more than or equal to 1Hz and 10 min;
and according to the wind direction data, eliminating the wind speed data of the affected sector.
3. The method for analyzing the power characteristics of the wind turbine generator set according to claim 1, wherein: the specific process of the step (3) is as follows: the method comprises the following steps that a main control system of the wind turbine generator outputs main control operation data as theoretical data, wherein the main control operation data comprises an engine room wind speed and an output power signal;
and verifying whether the main control operation data is the same as the actual measurement data.
CN202111563596.2A 2021-12-20 2021-12-20 Wind turbine generator set power characteristic analysis method Pending CN114298512A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111563596.2A CN114298512A (en) 2021-12-20 2021-12-20 Wind turbine generator set power characteristic analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111563596.2A CN114298512A (en) 2021-12-20 2021-12-20 Wind turbine generator set power characteristic analysis method

Publications (1)

Publication Number Publication Date
CN114298512A true CN114298512A (en) 2022-04-08

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Application Number Title Priority Date Filing Date
CN202111563596.2A Pending CN114298512A (en) 2021-12-20 2021-12-20 Wind turbine generator set power characteristic analysis method

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115690335A (en) * 2023-01-04 2023-02-03 中集海洋工程有限公司 Safety testing method and system for offshore wind power emergency refuge cabin

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115690335A (en) * 2023-01-04 2023-02-03 中集海洋工程有限公司 Safety testing method and system for offshore wind power emergency refuge cabin

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