CN114593018A - Method and device for evaluating running condition of wind turbine generator - Google Patents
Method and device for evaluating running condition of wind turbine generator Download PDFInfo
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- CN114593018A CN114593018A CN202111355911.2A CN202111355911A CN114593018A CN 114593018 A CN114593018 A CN 114593018A CN 202111355911 A CN202111355911 A CN 202111355911A CN 114593018 A CN114593018 A CN 114593018A
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D80/00—Details, components or accessories not provided for in groups F03D1/00 - F03D17/00
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Abstract
The invention provides a method and a device for evaluating the running condition of a wind turbine generator, and belongs to the technical field of wind power generation. The evaluation method comprises the following steps: extracting data of a plurality of wind turbine generators in a preset time period on a preset platform; drawing a power curve of each wind turbine generator, and classifying the data; rejecting abnormal power generation data of the wind turbine generator, and fitting an actual power curve of the wind turbine generator; counting power loss values when the performance of the unit components is reduced or limited; and obtaining total loss electric quantity according to the power loss value of the wind turbine component. The evaluation method can effectively identify the performance reduction condition of the unit components, count the annual energy production loss condition, pertinently develop hardware technical improvement to provide technical support, and guarantee the overall income of the wind power plant.
Description
Technical Field
The invention belongs to the technical field of wind power generation, and particularly relates to a method and a device for evaluating the running condition of a wind turbine generator.
Background
With the continuous increase of the single machine capacity of the wind turbine generator, the installed capacity of the wind turbine generator is continuously increased, the cumulative installed capacity of the wind turbine generator in China reaches 1585 ten thousand kilowatts in 2021, and the development of the wind turbine generator is a necessary trend of the international economy and energy development and a necessary choice of the development of the emerging strategic industry in China. However, with the rapid development of Chinese wind power and the continuous rising of installed capacity, some early megawatt 1.5MW fans have been operated for more than 10 years, and precious unit operation data is uniformly stored in the center of a new energy intelligent operation and maintenance platform. With the development of big data technology, historical data of each wind field and each unit of a new energy intelligent operation and maintenance center can be generally checked by the unit, and the power generation performance and the power loss condition of a fan in a wind power plant can be scientifically quantized, particularly the power loss condition comprises the power loss limited by the equipment, the manual power loss and the power loss limited by power grid dispatching, and a scientific and effective quantization method is not available at present.
Through scientific big data analysis, the electric quantity loss caused by unit limited power and fault shutdown is very obvious. Based on the above, the invention provides a method and a device for evaluating the running condition of a wind turbine generator, which are mainly used for carrying out special analysis on the problem of limited power, finding out the electric quantity loss point, carrying out special improvement on the electric quantity and improving the overall income of a wind power plant.
Disclosure of Invention
The invention aims to at least solve one of the technical problems in the prior art and provides an evaluation method and an evaluation device for the running condition of a wind turbine generator.
One aspect of the present invention provides a method for evaluating an operation condition of a wind turbine, including:
extracting data of a plurality of wind turbine generators in a preset time period on a preset platform;
drawing a power curve of each wind turbine generator, and classifying the data;
rejecting abnormal power generation data of the wind turbine generator, and fitting an actual power curve of the wind turbine generator;
counting power loss values when the performance of the unit components is reduced or limited;
and obtaining the total loss electric quantity according to the power loss value of the wind turbine generator component.
Optionally, the data includes at least one of a unit number, information wind speed, power, generator speed, power limit flag, pitch angle, and component temperature.
Optionally, the following classification principles are adopted for classification, including: and selecting the data when the wind turbine generator stops, the data when the wind turbine generator limits the power and the data when the wind turbine generator normally generates power, and obtaining the scatter distribution condition corresponding to the wind speed and the power of the wind turbine generator.
Optionally, the abnormal power generation data includes data of unit shutdown and data corresponding to unit limited power.
Optionally, the fitting the actual power curve of the wind turbine generator includes:
the wind speed is divided into 225 intervals from the initial wind speed of 2.5 meters to the off-grid wind speed of 25 meters according to a step length of every 0.1 meter, the power in each interval is counted respectively, the average value of the power is obtained, the corresponding relation between the wind speed and the average power value corresponding to each interval is obtained, and the actual power curves of the wind speed and the power are drawn.
Optionally, the counting the power loss value when the performance of the unit component is reduced or the power is limited includes:
acquiring the average wind speed and the corresponding power of the wind turbine generator when the performance of the components of the wind turbine generator is reduced or the power is limited;
and obtaining a power loss value according to the average wind speed and the corresponding power.
Optionally, the obtaining a power loss value according to the average wind speed and the corresponding power includes:
and subtracting the actual power B when the performance of the wind turbine component is reduced by referring to the corresponding power B for fitting the actual power curve of the wind turbine component to obtain the power loss value bb of the single wind turbine component at the time of performance reduction.
Optionally, obtaining total loss electric quantity according to the power loss value of the wind turbine component includes:
according to the performance degradation classification of the wind turbine components, accumulating the 1 … n power loss values of the performance degradation of each single wind turbine component in the data of the preset time period of the wind turbine to obtain corresponding total loss power;
and dividing the total loss power by the corresponding preset time period to obtain the total loss electric quantity.
Optionally, the preset time period ranges from 5 minutes to 15 minutes; and/or the presence of a gas in the gas,
the preset platform is an intelligent operation and maintenance platform.
In another aspect of the present invention, an apparatus for evaluating an operation condition of a wind turbine generator is provided, including: the device comprises an extraction module, a classification module, a fitting module, a statistic module and a calculation module; wherein the content of the first and second substances,
the extraction module is used for extracting data of a plurality of wind turbine generators in a preset time period on a preset platform;
the classification module is used for drawing a power curve of each wind turbine generator and classifying the data;
the fitting module is used for eliminating abnormal power generation data of the wind turbine generator and fitting an actual power curve of the wind turbine generator;
the statistical module is used for counting the power loss value when the performance of the unit component is reduced or the power is limited;
and the calculation module is used for obtaining total loss electric quantity according to the power loss value of the wind turbine component.
The invention provides an evaluation method of the running condition of a wind turbine generator, which comprises the following steps: extracting data of a plurality of wind turbine generators in a preset time period on a preset platform; drawing a power curve of each wind turbine generator, and classifying the data; rejecting abnormal power generation data of the wind turbine generator, and fitting an actual power curve of the wind turbine generator; counting power loss values when the performance of the unit components is reduced or limited; and obtaining total loss electric quantity according to the power loss value of the wind turbine component. The evaluation method can effectively identify the performance reduction condition of the unit components, count the annual energy production loss condition, pertinently develop hardware technical improvement to provide technical support, and guarantee the overall income of the wind power plant.
Drawings
Fig. 1 is a flow chart of a method for evaluating an operation condition of a wind turbine generator according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a wind speed power scatter diagram and a fitting curve of a wind turbine generator according to another embodiment of the present invention;
FIG. 3 is a theoretical power loss limit result of another embodiment of the present invention;
fig. 4 is a schematic structural diagram of an apparatus for evaluating an operating condition of a wind turbine according to another embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the present invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the described embodiments of the invention without inventive step, are within the scope of protection of the invention.
As shown in fig. 1, in one aspect of the present invention, a method S100 for evaluating an operation condition of a wind turbine is provided, which includes the following specific steps S110 to S150:
and S110, extracting data of a plurality of wind turbine generators in a preset time period on a preset platform.
Specifically, the ten-minute data of 33 units in a wind field in the center of the intelligent operation and maintenance platform in 2020 years is counted, that is, the preset time period is 10 minutes, wherein the ten-minute data includes at least one of a unit number, information wind speed, power, generator speed, power limit flag, pitch angle, and component temperature. The component temperature comprises the oil temperature of a gearbox, the shaft temperature of a generator, the IGBT temperature of a frequency converter and the like. That is to say, the embodiment provides a method for evaluating the unit operation condition based on big data on a new energy intelligent operation and maintenance platform.
The information mainly contained in the ten-minute data is an average value of the respective pieces of information on a ten-minute scale.
And S120, drawing a power curve of each wind turbine generator, and classifying the data.
Specifically, the following classification principles are adopted for classification in this embodiment, including: and selecting data when the wind turbine generator is stopped, data when the wind turbine generator limits power and data when the wind turbine generator normally generates power, and obtaining the scatter distribution condition corresponding to the wind speed and the power of the wind turbine generator, as shown in fig. 2.
S130, eliminating abnormal power generation data of the wind turbine generator, and fitting an actual power curve of the wind turbine generator.
Specifically, the abnormal power generation data of this embodiment includes data of unit shutdown and data corresponding to unit limited power. The data corresponding to the unit power limit comprises data of the unit power limit when the unit component performance is reduced, such as the oil temperature of a gear box is high, the shaft temperature of a generator is high, and the temperature of an IGBT (insulated gate bipolar transistor) of a frequency converter is high.
Further, the fitting of the actual power curve of the wind turbine generator according to the embodiment includes: the wind speed is divided into 225 intervals from the initial wind speed of 2.5 meters to the off-grid wind speed of 25 meters according to a step length of every 0.1 meter, the power in each interval is counted respectively, the average value of the power is obtained, the corresponding relation between the wind speed and the average power value corresponding to each interval is obtained, and the actual power curves of the wind speed and the power are drawn.
Illustratively, data after abnormal power generation of the unit is removed, a 225 small interval is divided from an initial wind speed of 2.5 meters to a grid-off wind speed of 25 meters according to a step length of each 0.1 meter of the wind speed, for example [2.5-2.6) the wind speed cluster corresponding to the 2 nd interval is classified into 2.5 meters, [2.6-2.7) the wind speed cluster corresponding to the 2 nd interval is classified into 2.6 meters, … [24.9-25) the wind speed cluster corresponding to the 225 th interval is classified into 25 meters, power in each interval is counted respectively, and respective power average values are calculated; within the range of 2.5 meters to 25 meters, the corresponding relation between the wind speed and the average power value corresponding to the 225 divided intervals is obtained, and an actual power curve of the wind speed and the power is drawn, as shown in fig. 2.
And S140, counting power loss values when the performance of the unit components is reduced or limited.
Specifically, the average wind speed a and the corresponding power b of the wind turbine generator when the performance of the components of the wind turbine generator is reduced or the power is limited, namely the actual power generation data, are obtained; and obtaining a power loss value according to the average wind speed and the corresponding power. That is to say that the position of the first electrode,
wherein the obtaining a power loss value according to the average wind speed and the corresponding power comprises: and subtracting the actual power B when the performance of the wind turbine component is reduced by referring to the corresponding emergency power B which is fitted with the actual power curve of the wind turbine, so as to obtain the power loss value bb of the single wind turbine component at the time when the performance of the wind turbine component is reduced.
For example, when the performance of the statistical component is reduced, such as the oil temperature of the gearbox is high, the average wind speed a of ten minutes corresponding to the high oil temperature and the power b at the time are recorded when the oil temperature of the gearbox is high. And the average wind speed a corresponding to the oil temperature high moment refers to the power B corresponding to the fitted actual power curve, and the power loss bb at the oil temperature high limit power moment is obtained as B-B.
And S150, obtaining total loss electric quantity according to the power loss value of the wind turbine component.
Specifically, according to the wind turbine component performance degradation classification, 1 … n power loss values of the performance degradation of each single wind turbine component in the data of the preset time period of the wind turbine are accumulated to obtain corresponding total loss power, and the total loss power is divided by the corresponding preset time period to obtain total loss electric quantity.
Illustratively, 1 … n bbs of the unit with one-year ten-minute data are accumulated to obtain corresponding total loss power C, and C is finally divided by corresponding ten minutes to obtain total loss electric quantity.
It should be understood that, similarly, the method for generating capacity loss due to performance degradation of the components such as the high shaft temperature of the generator, the high IGBT temperature of the converter, and the high temperature of the control cabinet may refer to the method for counting electric quantity loss during the high limit power of the oil temperature, and is not described herein again.
In this embodiment, a wind speed power scatter diagram and a fitting curve of a unit number 30 in a certain wind field are taken as an example, as shown in fig. 2, the operation condition of the unit in the last year is elaborated in detail, and particularly, a quantification method for scientifically quantifying the electric quantity loss condition caused by the performance degradation of unit components is mainly performed.
The evaluation method for the operating condition of the wind turbine generator will be further described with reference to specific embodiments below:
the power-limiting loss quantization conditions of ten minutes of data of 33 units of a certain wind farm operating for 2020 for one year are shown in the following tables 1 and 2 and fig. 3:
TABLE 1 wind turbine generator loss electric quantity summary table
As can be seen from the table above, the average wind speed of the wind turbine is 4.60m/s, wherein the average power limit percentage of the wind turbine is 12.93%, the percentage of normal power generation and unlimited power operation is 58.62%, the percentage of shutdown operation is 28.45%, and the theoretical equivalent generation hours of the wind turbine is 1987.6 h.
According to the data analysis of the whole plant unit in 2020, the electric quantity loss caused by the unit power limit is very obvious. The limited power loss (including high temperature of parts, manual operation, scheduling limited power and overall performance reduction of the unit) causes the single-machine power loss 616.47MWh, and the average power loss utilization hours of each limited power of the unit is reduced to 410.98 h. The dispatching power limiting situation is few according to the actual statistical situation on site, the power limiting loss is large, manual power limiting or other factors cause that a unit cannot be fully started, and the overtemperature power limiting situation of key parts of the unit is mainly caused by the overtemperature of the oil temperature of a gear box.
TABLE 2 Power loss limiting table for key parts of each wind turbine
The above table shows that the oil temperature high-limit load condition of the wind field unit occurs in a large area, the average calculated unit oil temperature high-limit load average value is 16.07MWh, the annual total loss electric quantity is 530.26MWh, the total loss hours are 353.51 hours, and the average calculated unit oil temperature high-limit load average value accounts for 2.61% (the over-temperature limit power occurs in the over-temperature aspect of 11 unit generators, 1 engine room temperature over-temperature limit power condition occurs, the power generation loss is more in other power limit conditions, such as manual power limit or scheduling power limit condition, the total loss is 19742.97MWh, and the average calculated unit oil temperature high-limit load average value accounts for 97.05%.
By the method, the power generation performance of the wind turbine generator can be relatively scientifically quantized, and the condition of power generation loss of the wind turbine generator caused by performance reduction of wind turbine generator components can be accurately quantized. And powerful data support is provided for developing the upgrading and efficiency enhancement of old units and providing a targeted hardware technology improvement direction.
As shown in fig. 4, in another aspect of the present invention, there is provided an apparatus 200 for evaluating an operating condition of a wind turbine, comprising: an extraction module 210, a classification module 220, a fitting module 230, a statistics module 240, and a calculation module 250; the extraction module 210 is configured to extract data of a plurality of wind turbines in a preset time period on a preset platform; the classification module 220 is used for drawing a power curve of each wind turbine generator and classifying the data; the fitting module 230 is used for eliminating abnormal power generation data of the wind turbine generator and fitting an actual power curve of the wind turbine generator; the statistical module 240 is used for counting the power loss value when the performance of the unit component is reduced or the power is limited; and the calculating module 250 is used for obtaining total loss electric quantity according to the power loss value of the wind turbine component.
The specific method of this example is as follows: the data of 33 units in a wind field in the intelligent operation and maintenance platform center in 2020 years are counted, wherein the ten-minute data mainly comprises information such as a unit number, an average wind speed, power, a generator rotating speed, a power limiting marker bit, a variable pitch angle, related temperature of component performance (such as oil temperature of a gear box, shaft temperature of a generator, IGBT temperature of a frequency converter and the like). According to a unit self-fitting wind speed and power corresponding curve drawn by data when the unit rejects abnormal power generation, the actual wind speed and power corresponding relation of the unit is represented, when the performance of a component is reduced, for example, the oil temperature of a gear box is high, the average wind speed of ten minutes corresponding to the high oil temperature and the current power B are recorded when the oil temperature of the gear box is high, the average wind speed corresponding to the high oil temperature refers to the power B corresponding to the fitting power curve, and the power loss at the high oil temperature and the limited power is B-B. And sequentially traversing the power losses corresponding to the oil temperature high time in the ten-minute data of one year to obtain the total oil temperature high loss electric quantity which is the sum of the power losses corresponding to all the traversed oil temperature high times, and dividing the sum by 6 to obtain the total loss electric quantity F (unit: KW/h).
The invention provides a method and a device for evaluating the running condition of a wind turbine generator, which have the following beneficial effects compared with the prior art: the evaluation method can effectively identify the performance reduction condition of the unit components, count the annual power generation loss condition, pertinently develop hardware technology improvement to provide technical support, and guarantee the overall income of the wind power plant.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (10)
1. A method for evaluating the operation condition of a wind turbine generator is characterized by comprising the following steps:
extracting data of a plurality of wind turbine generators in a preset time period on a preset platform;
drawing a power curve of each wind turbine generator, and classifying the data;
rejecting abnormal power generation data of the wind turbine generator, and fitting an actual power curve of the wind turbine generator;
counting power loss values when the performance of the unit components is reduced or limited;
and obtaining the total loss electric quantity according to the power loss value of the wind turbine generator component.
2. The method of claim 1, wherein the data includes at least one of a consist number, information wind speed, power, generator speed, power limit flag, pitch angle, component temperature.
3. The method of claim 1, wherein the classification is performed using a classification principle comprising: and selecting the data when the wind turbine generator is stopped, the data when the wind turbine generator limits the power and the data when the wind turbine generator normally generates power, and obtaining the scatter distribution condition corresponding to the wind speed and the power of the wind turbine generator.
4. The method of claim 1, wherein the abnormal power generation data comprises data of a unit outage corresponding to a unit limit power.
5. The method of claim 1, wherein said fitting said wind turbine real power curve comprises:
the wind speed is divided into 225 intervals from the initial wind speed of 2.5 meters to the off-grid wind speed of 25 meters according to a step length of every 0.1 meter, the power in each interval is counted respectively, the average value of the power is obtained, the corresponding relation between the wind speed and the average power value corresponding to each interval is obtained, and the actual power curves of the wind speed and the power are drawn.
6. The method of claim 1, wherein the counting the power loss value when the performance of the crew component is degraded or limited comprises:
acquiring the average wind speed and the corresponding power of the wind turbine generator when the performance of the components of the wind turbine generator is reduced or the power is limited;
and obtaining a power loss value according to the average wind speed and the corresponding power.
7. The method of claim 6, wherein said deriving a power loss value from said average wind speed and said corresponding power comprises:
and subtracting the actual power B when the performance of the wind turbine component is reduced by referring to the corresponding emergency power B which is fitted with the actual power curve of the wind turbine, so as to obtain the power loss value bb of the single wind turbine component at the time when the performance of the wind turbine component is reduced.
8. The method of claim 1, wherein the deriving a total power loss from the power loss value of the wind turbine component comprises:
according to the performance degradation classification of the wind turbine components, accumulating the 1 … n power loss values of the performance degradation of each single wind turbine component in the data of the preset time period of the wind turbine to obtain corresponding total loss power;
and dividing the total loss power by the corresponding preset time period to obtain the total loss electric quantity.
9. The method according to any one of claims 1 to 8, wherein the preset period of time ranges from 5 minutes to 15 minutes; and/or the presence of a gas in the gas,
the preset platform is an intelligent operation and maintenance platform.
10. An evaluation device for wind turbine generator operation conditions is characterized by comprising: the device comprises an extraction module, a classification module, a fitting module, a statistic module and a calculation module; wherein the content of the first and second substances,
the extraction module is used for extracting data of a plurality of wind turbine generators in a preset time period on a preset platform;
the classification module is used for drawing a power curve of each wind turbine generator and classifying the data;
the fitting module is used for eliminating abnormal power generation data of the wind turbine generator and fitting an actual power curve of the wind turbine generator;
the statistical module is used for counting the power loss value when the performance of the unit component is reduced or the power is limited;
and the calculation module is used for obtaining total loss electric quantity according to the power loss value of the wind turbine component.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115860986A (en) * | 2023-02-09 | 2023-03-28 | 浙江正泰智维能源服务有限公司 | Photovoltaic power station power-limiting loss electric quantity calculation method, device, equipment and medium |
| FR3138478A1 (en) * | 2022-08-01 | 2024-02-02 | Electricite De France | METHOD FOR CHARACTERIZING OPERATING STATES OF A WIND TURBINE |
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2021
- 2021-11-16 CN CN202111355911.2A patent/CN114593018A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| FR3138478A1 (en) * | 2022-08-01 | 2024-02-02 | Electricite De France | METHOD FOR CHARACTERIZING OPERATING STATES OF A WIND TURBINE |
| CN115860986A (en) * | 2023-02-09 | 2023-03-28 | 浙江正泰智维能源服务有限公司 | Photovoltaic power station power-limiting loss electric quantity calculation method, device, equipment and medium |
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