CN116578820A - Wind driven generator evaluation method, device, server and storage medium - Google Patents
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Abstract
The application provides an evaluation method, an evaluation device, a server and a storage medium of a wind driven generator, and relates to the technical field of wind power generation. For each wind driven generator, determining the duty ratio of the total duration time of each wind speed value and the preset period and the corresponding power generation power of each wind speed value in the preset period. For each wind driven generator, determining the average wind speed in a preset period, and determining the equivalent working time length of the wind driven generator in the preset period according to the rated power generation power of the set wind driven generator in the unit time length, the corresponding duty ratio of each wind speed value and the power generation power; fitting the average wind speeds and equivalent working time lengths of the groups corresponding to the wind generators respectively to obtain a functional relation; determining the average wind speed and equivalent working time length of each group corresponding to all wind driven generators respectively, and the total correlation coefficient of the wind driven generators and the functional relation; and when the total correlation coefficient is smaller than the set threshold value, determining that the power generation performance of the wind driven generator has faults.
Description
Technical Field
The present application relates to the field of wind power generation technologies, and in particular, to a method and an apparatus for evaluating a wind power generator, a server, and a storage medium.
Background
The wind driven generator is an electric power device which converts wind energy into mechanical work and drives a rotor to rotate and finally outputs alternating current. In general, a wind farm is operated with a plurality of wind power generators, and each wind power generator can continuously collect wind speed and output power according to the wind speed in order to evaluate the power generation performance of each wind power generator. When the generated power is lower than a power threshold value corresponding to the acquired wind speed, determining that the power generation performance of the typhoon generator is poor; when the generated power is higher than or equal to a power threshold value corresponding to the collected wind speed, the power generation performance of the typhoon generator is determined to be good.
However, there is often an error due to the wind speed acquired by the wind speed detectors on the wind turbine. In this way, the reliability of the evaluation result of the power generation performance of the generator is low based on the comparison result of the power threshold value of the power generation power and the collected wind speed.
Disclosure of Invention
The application provides an evaluation method, an evaluation device, a server and a storage medium of a wind driven generator, which are used for solving the problem of low reliability of an evaluation result of the power generation performance of the generator in the prior art.
In a first aspect, the present application provides a method for evaluating a wind turbine, applied to a server, including: and receiving wind speed values and corresponding power generation power which are acquired by a plurality of wind driven generators at intervals of a first time in a preset period. For each wind driven generator, determining the duty ratio of the total duration time of each wind speed value to a preset period and the power generated by each wind speed value in the preset period; wherein each wind speed value is within an effective wind speed range. For each wind driven generator, determining the average wind speed in a preset period, and determining the equivalent working time length of the wind driven generator in the preset period according to the rated power generation power of the set wind driven generator in the unit time length, the corresponding duty ratio of each wind speed value and the power generation power; fitting each group of average wind speeds and equivalent working time lengths respectively corresponding to a plurality of wind driven generators to obtain a functional relation between the equivalent working time lengths and the average wind speeds; determining the average wind speed and equivalent working time length of each group corresponding to all wind driven generators respectively, and the total correlation coefficient of the wind driven generators and the functional relation; and when the total correlation coefficient is smaller than the set threshold value, determining that the power generation performance of the wind driven generator has faults, and outputting fault prompts.
In one possible embodiment, determining the ratio of the total duration of each wind speed value to the preset period includes: determining weber distribution of each wind speed value in the effective wind speed range in a preset period; determining shape parameters and scale parameters of weber distribution; and determining the ratio of the total duration of each wind speed value in the preset period to the preset period according to each wind speed value, the scale parameter and the shape parameter.
The distribution condition of each wind speed value in the effective wind speed range in the preset period can be accurately and reliably represented due to the shape parameters and the scale parameters of the Weber distribution, so that the reliability of the total duration of each determined wind speed value in the preset period and the duty ratio of the preset period is high according to the shape parameters and the scale parameters of the Weber distribution.
In one possible embodiment, determining the ratio of the total duration of each wind speed value in the preset period to the preset period according to each wind speed value, the scale parameter and the shape parameter includes:
according to each wind speed value V i A scale parameter a and a shape parameter k, and the formula: determining the ratio H of the total duration of each wind speed value in the preset period to the preset period i Wherein i is a value range of [1, s ]]S is the number of wind speed values and a is a constant.
In one possible embodiment, determining shape parameters and scale parameters of the weber distribution includes:
according to the average wind speed U of each wind driven generator in the second time period i The number N of second duration in the preset period, and the formula:
determining a shape parameter K of weber distribution; according to the shape parameter K, the average wind speed V in a preset period and the formula:and determining a scale parameter A.
In one possible implementation manner, determining an equivalent working period of the wind driven generator in a preset period according to a set rated power for the wind driven generator in a unit period, a corresponding duty ratio of each wind speed value and power for the wind driven generator, includes:
according to the duty ratio h corresponding to the wind speed value of any wind driven generator i Power generation P corresponding to wind speed value j The preset period T and the rated power Q of the set wind driven generator in unit time length, and the formula:
determining equivalent working time length E of wind driven generator in preset period j Wherein i is a value range of a value interval [1, n1 ]]N1 is the number of wind speeds of any wind driven generator, j is the value range of the value interval [1, n2 ]]N2 is the number of wind generators.
It can be appreciated that the equivalent working time length E of the wind driven generator in the preset period can be accurately and reliably obtained based on the above formula n 。
In one possible implementation manner, before determining, for each wind turbine, a ratio of a total duration of each wind speed value to a preset period and a corresponding generated power of each wind speed value in the preset period, the method provided by the present application further includes: according to the wind speed value and the corresponding generated power which are acquired at intervals of a first time, determining an effective wind speed range, wherein the lower limit value of the effective wind speed range is as follows: the generated power is enabled to be larger than a minimum wind speed value of 0, and the lower limit value of the effective wind speed range is as follows: so that the generated power reaches the minimum wind speed value of rated power.
As can be appreciated, since the lower limit of the effective wind speed range is: the generated power is enabled to be larger than a minimum wind speed value of 0, and the upper limit value of the effective wind speed range is as follows: so that the generated power reaches the minimum wind speed value of rated power. Thus, the reliability of the screened wind speed value can be higher.
In one possible embodiment, the method provided by the application further comprises: and when the total correlation coefficient is larger than a set threshold value, determining that errors exist in wind speed acquisition of the wind driven generator.
It can be understood that, when the total correlation coefficient is smaller, it is indicated that the average wind speed and the equivalent working time length of some wind driven generators do not meet the functional relation between the equivalent working time length and the average wind speed, and when the total correlation coefficient is smaller than the set threshold value, it is determined that the power generation performance of the wind driven generator has faults, and the reliability is high. At this time, a fault prompt is output to remind maintenance personnel to overhaul the wind driven generator.
In a second aspect, the present application provides an evaluation device for a wind turbine, including: the data receiving unit is used for receiving wind speed values and corresponding power generation power which are acquired from a plurality of wind driven generators at intervals of a first time in a preset period; the data determining unit is used for determining the total duration of each wind speed value, the duty ratio of the preset period and the corresponding power generation power of each wind speed value in the preset period for each wind driven generator; wherein each wind speed value is within an effective wind speed range; the working time length determining unit is used for determining the average wind speed in a preset period for each wind driven generator and determining the equivalent working time length of the wind driven generator in the preset period according to the rated power generation of the set wind driven generator in the unit time length, the corresponding duty ratio of each wind speed value and the power generation power; the data fitting unit is used for fitting each group of average wind speeds and equivalent working time lengths respectively corresponding to the plurality of wind driven generators to obtain a functional relation between the equivalent working time lengths and the average wind speeds; the correlation determination unit is used for determining the average wind speed and equivalent working time length of each group corresponding to all wind driven generators respectively and the total correlation coefficient of the functional relation; and the fault determining unit is used for determining that the power generation performance of the wind driven generator has faults when the total correlation coefficient is smaller than a set threshold value and outputting fault prompts.
In a third aspect, the application also provides a server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, when executing the computer program, causing the server to perform the method as provided in the first aspect.
In a fourth aspect, the present application also provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes a computer to perform a method as provided in the first aspect, e.g. by a terminal device.
In a fifth aspect, the application also provides a computer program product comprising a computer program which, when run, causes a computer to perform the method as provided in the first aspect.
The application provides an evaluation method, an evaluation device, a server and a storage medium of a wind driven generator, which can determine the equivalent working time length of the wind driven generator in a preset period according to rated power generation of the wind driven generator in a unit time length, the corresponding duty ratio of each wind speed value and power generation. It will be appreciated that the equivalent operating time period is used to indicate the time period required for the generated power to be reached when the wind speed value is to be maintained at the rated generated power for the unit time period. Fitting each group of average wind speeds and equivalent working time lengths respectively corresponding to the wind generators to obtain a functional relation between the equivalent working time lengths and the average wind speeds. And determining the average wind speed and equivalent working time of each group corresponding to all the wind driven generators respectively, and the total correlation coefficient of the functional relation. It can be understood that, when the total correlation coefficient is smaller, it is indicated that the average wind speed and the equivalent working time length of some wind driven generators do not meet the functional relation between the equivalent working time length and the average wind speed, and when the total correlation coefficient is smaller than the set threshold value, it is determined that the power generation performance of the wind driven generator has faults, and the reliability is high. At this time, a fault prompt is output to remind maintenance personnel to overhaul the wind driven generator.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions of the prior art, the drawings that are needed in the embodiments or the description of the prior art will be briefly described below, it will be obvious that the drawings in the following description are some embodiments of the present application, and that other drawings can be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic diagram of a scenario used in an evaluation method of a wind turbine according to an embodiment of the present application;
FIG. 2 is a flowchart of a method for evaluating a wind turbine according to an embodiment of the present application;
FIG. 3 is a schematic diagram of the functional relationship between the average wind speed of each group of the plurality of wind turbines, the equivalent working time length and the fitting result in the embodiment;
FIG. 4 is a flowchart of a method for evaluating a wind turbine according to a second embodiment of the present application;
fig. 5 is a functional block diagram of an evaluation device for a wind turbine according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which are made by a person skilled in the art based on the embodiments of the application in light of the present disclosure, are intended to be within the scope of the application.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the application described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The wind driven generator is an electric power device which converts wind energy into mechanical work and drives a rotor to rotate and finally outputs alternating current. There is often an error in the wind speed acquired by the wind speed detectors on the wind turbine. In this way, the reliability of the evaluation result of the power generation performance of the generator is low based on the comparison result of the power threshold value of the power generation power and the collected wind speed.
Based on the technical problems, the application concept of the application is as follows: how to effectively improve the reliability of the evaluation result of the power generation performance of the generator.
The following describes the technical scheme of the present application and how the technical scheme of the present application solves the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a scenario applied to an evaluation method of a wind turbine according to an embodiment of the present application, where, as shown in fig. 1, the schematic diagram of a scenario includes: a server 101 and a plurality of wind power generators 102. Specifically, the server 101 is communicatively connected to a plurality of wind turbines 102.
Fig. 2 is a flowchart of an evaluation method of a wind turbine according to an embodiment of the present application. Specifically, as shown in fig. 2, the method for evaluating a wind turbine according to the embodiment of the present application includes:
s201: the server 101 receives wind speed values and corresponding generated power acquired from the plurality of wind turbines 102 at intervals of a first time period within a preset period.
The wind speed value and the corresponding power generation power are acquired at intervals of a first time in a preset period, and a power curve for representing the relation between the wind speed value and the power generation power can be constructed.
Illustratively, the server 101 receives wind speed values and corresponding generated power from the plurality of wind turbines 102 acquired every 1s (i.e., first time period) within 1 year (i.e., preset period).
S202: the server 101 determines, for each wind driven generator 102, the duty ratio of the total duration time and the preset period of each wind speed value, and the power generated by each wind speed value corresponding to the preset period; wherein each wind speed value is within an effective wind speed range.
Illustratively, when the preset period is 365 days, each wind speed value may include a wind speed value a, a wind speed value B, a wind speed value C, and the like. The total duration of the wind speed value A is 10 days, the total duration of the wind speed value B is 20 days, and the total duration of the wind speed value C is 30 days, so that the ratio of the total duration of the wind speed value A to the preset period is 10/365; the ratio of the total duration of the wind speed value B to the preset period is 20/365; the ratio of the total duration of the wind speed value B to the preset period is 30/365. The wind speed value a may correspond to the generated power a, the wind speed value B may correspond to the generated power B, and the wind speed value C may correspond to the generated power C. It should be noted that, when the wind speeds of each wind driven generator are the same, the corresponding power generation powers are the same.
Optionally, before S202, the method provided by the embodiment of the present application may further include:
and determining an effective wind speed range according to the wind speed value and the corresponding generated power which are acquired at intervals of the first time. Wherein, the lower limit value of the effective wind speed range is: the generated power is enabled to be larger than a minimum wind speed value of 0, and the lower limit value of the effective wind speed range is as follows: so that the generated power reaches the minimum wind speed value of rated power.
As can be appreciated, since the lower limit of the effective wind speed range is: the generated power is enabled to be larger than a minimum wind speed value of 0, and the upper limit value of the effective wind speed range is as follows: so that the generated power reaches the minimum wind speed value of rated power. Thus, the reliability of the screened wind speed value can be higher.
S203: the server 101 determines, for each wind turbine 102, an average wind speed in a preset period, and determines an equivalent working period of the wind turbine 102 in the preset period according to a rated power for generating the set wind turbine 102 in a unit period, a corresponding duty ratio of each wind speed value, and a power for generating.
It will be appreciated that the equivalent operating time period is used to indicate the time period required for the generated power to be reached when the wind speed value is to be maintained at the rated generated power for the unit time period.
Specifically, S203 may be implemented as: according to the duty ratio h corresponding to the wind speed value of any wind driven generator i Power generation P corresponding to wind speed value j The preset period T and the rated power Q of the set wind driven generator in unit time length, and the formula:
determining equivalent working time length E of wind driven generator in preset period j Wherein i is a value range of a value interval [1, n1 ]]N1 is the number of wind speeds of any wind driven generator, j is the value range of the value interval [1, n2 ]]N2 is the number of wind generators.
It can be appreciated that based on the above formula, the equivalent working time length E of the wind turbine 102 in the preset period can be accurately and reliably obtained n 。
S204: the server 101 fits the average wind speeds of the groups corresponding to the wind generators 102 and the equivalent working time length to obtain a functional relation between the equivalent working time length and the average wind speed.
For example, fig. 3 is a schematic diagram illustrating the functional relationship between the average wind speeds of each group of the plurality of wind turbines 102, the equivalent operating time and the fitting result in the present embodiment.
In fig. 3, each point represents a set of average wind speed and equivalent working time period, and if the average wind speed X1 and equivalent working time period Y1 corresponding to the wind power generator a, the average wind speed X2 and equivalent working time period Y2 corresponding to the wind power generator B, the average wind speed X3 and equivalent working time period Y3 corresponding to the wind power generator C may be fitted to the data sets (X1, Y1), (X2, Y2) and (X3, Y3), so as to obtain a functional relationship between the equivalent working time period and the average wind speed. For example, the functional relationship may be a linear relationship y1=kx+b (e.g., a straight line in fig. 3), where k is a slope of the straight line, b is an intercept of the straight line, x is an average wind speed, and y is an equivalent operating time.
S205: the server 101 determines the average wind speeds and equivalent working time lengths of the groups corresponding to all the wind driven generators 102 respectively, and the total correlation coefficient of the functional relationship.
For example, as shown in fig. 3, when the functional relationship between the equivalent operation time period and the average wind speed is a straight line, the server 101 calculates a set of average wind speeds and distances between the equivalent operation time period and the straight line for each wind turbine 102, respectively. Further, the server 101 calculates variances or standard deviations of the distances corresponding to all the wind turbines 102, and determines correlation coefficients from the variances or standard deviations. It will be appreciated that the variance or standard deviation is inversely related to the correlation coefficient.
S206: the server 101 determines whether the total correlation coefficient is smaller than a set threshold, and if so, S207 is executed, and if not, S208 is executed.
S207: the server 101 determines that there is a failure in the power generation performance of the wind turbine 102, and outputs a failure notice.
In this way, maintenance personnel can maintain wind turbine 102 based on the fault indication.
S208: the server 101 determines that there is an error in wind speed collection of the wind turbine 102 and outputs a prompt that the operation is normal.
In this way, maintenance personnel need not maintain wind turbine 102 after browsing the normal operation prompt.
In summary, the embodiment of the present application provides a method for evaluating a wind turbine, which can determine an equivalent working period of the wind turbine 102 in a preset period according to a rated power of the wind turbine 102 in a unit period, a corresponding duty ratio of each wind speed value, and a power. It will be appreciated that the equivalent operating time period is used to indicate the time period required for the generated power to be reached when the wind speed value is to be maintained at the rated generated power for the unit time period. And fitting the average wind speeds of the groups corresponding to the wind generators 102 and the equivalent working time length to obtain the functional relation between the equivalent working time length and the average wind speed. And determining the average wind speed and equivalent working time length of each group respectively corresponding to all the wind driven generators 102, and the total correlation coefficient of the functional relation. It can be understood that, when the total correlation coefficient is smaller, it is indicated that the average wind speed and the equivalent working time length of some wind driven generators 102 do not satisfy the functional relationship between the equivalent working time length and the average wind speed, and when the total correlation coefficient is smaller than the set threshold value, it is determined that the power generation performance of the wind driven generator 102 has a fault, and the reliability is high. At this point, a fault alert is output to alert maintenance personnel to service wind turbine 102.
In addition, when the total correlation coefficient is smaller, the fact that the average wind speed and the equivalent working time length of some wind driven generators 102 do not meet the functional relation between the equivalent working time length and the average wind speed is indicated, and when the total correlation coefficient is smaller than a set threshold value, it is determined that the power generation performance of the wind driven generator 102 has faults, and reliability is high. At this point, a fault alert is output to alert maintenance personnel to service wind turbine 102.
Fig. 4 is a flowchart of an evaluation method of a wind turbine according to a second embodiment of the present application, where, based on the foregoing embodiment, as shown in fig. 4, a specific implementation manner of the foregoing step S202 is as follows:
s401: the server 101 determines the weber distribution of the respective wind speed values within the effective wind speed range within a preset period.
S402: the server 101 determines shape parameters and scale parameters of the weber distribution.
Specifically, S402 may be specifically implemented as: the server 101 determines the average wind speed U of each wind driven generator 102 in a second period (such as 10min, 15min, etc.) i The number N of second time periods (such as 10min, 15min and the like) in the preset period, and the formula:
determining a shape parameter K of weber distribution; according to the shape parameter K, the average wind speed V in a preset period (such as 1 year), and the formula:
the scale parameter a is determined, wherein the server 101 may determine the scale parameter a according to the formula:
an average wind speed V over a preset period (e.g., 1 year) is determined.
S403: the server 101 determines the ratio of the total duration of each wind speed value in the preset period to the preset period according to each wind speed value, the scale parameter and the shape parameter.
It can be understood that, due to the shape parameters and the scale parameters of the weber distribution, the distribution condition of each wind speed value in the effective wind speed range in the preset period can be accurately and reliably represented, so that the reliability of the total duration of each determined wind speed value in the preset period and the duty ratio of the preset period is high according to the shape parameters and the scale parameters of the weber distribution.
Specifically, the server 101 may determine the wind speed value V according to each of the wind speed values i A scale parameter a and a shape parameter k, and the formula:
determining the ratio H of the total duration of each wind speed value in the preset period to the preset period i . Wherein i is a value range of a value interval [1, s]S is the number of wind speed values, a is a constant, e.g., a may be equal to 0.24, 0.25, 0.26, etc., without limitation.
The basic principle and the technical effects of the wind turbine evaluation device 500 according to the embodiment of the present application are the same as those of the embodiment corresponding to fig. 2, and for brevity, reference may be made to the corresponding contents of the embodiment of the present application. Fig. 5 is a functional block diagram of an evaluation apparatus 500 for a wind turbine according to an embodiment of the present application. Specifically, as shown in fig. 5, an evaluation apparatus 500 for a wind turbine according to an embodiment of the present application includes: a data receiving unit 501, a data determining unit 502, an operation time length determining unit 503, a data fitting unit 504, a correlation determining unit 505, and a failure determining unit 506, wherein,
the data receiving unit 501 is configured to receive wind speed values and corresponding generated power, which are acquired from a plurality of wind turbines at intervals of a first time period in a preset period.
The data determining unit 502 is configured to determine, for each wind turbine, a duty ratio of a total duration of each wind speed value to a preset period, and a generated power corresponding to each wind speed value in the preset period, respectively. Wherein each wind speed value is within an effective wind speed range.
The working time length determining unit 503 is configured to determine, for each wind turbine, an average wind speed in a preset period, and determine an equivalent working time length of the wind turbine in the preset period according to a rated power generation of the set wind turbine in a unit time length, a corresponding duty ratio of each wind speed value, and a power generation power.
The data fitting unit 504 is configured to fit each group of average wind speeds and equivalent working durations, which respectively correspond to the plurality of wind turbines, so as to obtain a functional relationship between the equivalent working durations and the average wind speeds.
And the correlation determining unit 505 is configured to determine the average wind speeds and equivalent working durations of the groups corresponding to all the wind turbines respectively, and the total correlation coefficient of the functional relationship.
And a fault determining unit 506, configured to determine that there is a fault in the power generation performance of the wind turbine when the total correlation coefficient is less than the set threshold value, and output a fault prompt.
In a possible implementation manner, the data determining unit 502 is specifically configured to determine weber distribution of each wind speed value within the effective wind speed range within a preset period; determining shape parameters and scale parameters of weber distribution; and determining the ratio of the total duration of each wind speed value in the preset period to the preset period according to each wind speed value, the scale parameter and the shape parameter.
In a possible embodiment, the data determining unit 502 is specifically configured to determine, based on each wind speed value V i A scale parameter a and a shape parameter k, and the formula: determining the ratio H of the total duration of each wind speed value in the preset period to the preset period i Wherein i is a value range of [1, s ]]S is the number of wind speed values and a is a constant.
In a possible embodiment, the data determining unit 502 is specifically configured to determine the average wind speed U of each wind turbine during the second period of time i The number N of second duration in the preset period, and the formula:
determining a shape parameter K of weber distribution; according to the shape parameter K, the average wind speed V in a preset period and the formula:
and determining a scale parameter A.
In one possible implementation manner, the operation duration determining unit 503 is specifically configured to determine the duty ratio h corresponding to the wind speed value of any wind driven generator i Power generation P corresponding to wind speed value j The preset period T and the rated power Q of the set wind driven generator in unit time length, and the formula:
determining equivalent working time length E of wind driven generator in preset period j Wherein i is a value range of a value interval [1, n1 ]]N1 is the number of wind speeds of any wind driven generator, j is the value range of the value interval [1, n2 ]]N2 is the number of wind generators.
In a possible implementation manner, the apparatus 500 provided by the embodiment of the present application further includes: and the effective wind speed range determining unit is used for determining an effective wind speed range according to the wind speed value acquired at intervals of the first time and the corresponding generated power. Wherein, the lower limit value of the effective wind speed range is: the generated power is enabled to be larger than a minimum wind speed value of 0, and the upper limit value of the effective wind speed range is as follows: so that the generated power reaches the minimum wind speed value of rated power.
In one possible embodiment, the apparatus 500 provided by the present application further includes: and when the total correlation coefficient is larger than a set threshold value, determining that errors exist in wind speed acquisition of the wind driven generator.
The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and when the computer program is executed by a processor, the computer program causes the computer to execute the method provided by the embodiment.
The embodiment of the application also provides a server, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the computer program to cause the server to execute the method provided by the embodiment.
The embodiments of the present application also provide a computer program product comprising a computer program which, when run, causes a computer to perform the method as provided in the embodiments described above.
Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features can be replaced equivalently; such modifications and substitutions do not depart from the spirit of the application.
Claims (10)
1. A method of evaluating a wind turbine, the method comprising:
receiving wind speed values and corresponding power generation power which are acquired from a plurality of wind driven generators at intervals of a first time in a preset period;
for each wind driven generator, determining the duty ratio of the total duration time of each wind speed value to the preset period and the power generation power corresponding to each wind speed value in the preset period; wherein each wind speed value is within an effective wind speed range;
for each wind driven generator, determining an average wind speed in the preset period, and determining an equivalent working period of the wind driven generator in the preset period according to the rated power generated by the set wind driven generator in a unit period, the duty ratio corresponding to each wind speed value and the power generated;
fitting each group of average wind speeds respectively corresponding to a plurality of wind driven generators and the equivalent working time length to obtain a functional relation between the equivalent working time length and the average wind speed;
determining the average wind speed and the equivalent working time length of each group corresponding to all the wind driven generators respectively, and the total correlation coefficient of the functional relation;
and when the total correlation coefficient is smaller than a set threshold value, determining that the power generation performance of the wind driven generator has faults, and outputting fault prompts.
2. The method of claim 1, wherein said determining a ratio of a total duration of each of said wind speed values to said predetermined period comprises:
determining weber distribution of each wind speed value in the effective wind speed range in the preset period;
determining shape parameters and scale parameters of the weber distribution;
and determining the total duration time of each wind speed value in the preset period and the duty ratio of the preset period according to each wind speed value, the scale parameter and the shape parameter.
3. The method of claim 2, wherein determining the ratio of the total duration of each of the wind speed values over the predetermined period to the predetermined period based on each of the wind speed values, the scale parameter, and the shape parameter comprises:
according to each of the wind speed values V i The scale parameter a and the shape parameter k, and the formula:
determining the total duration of each wind speed value in the preset period and the duty ratio H of the preset period i Wherein i is a value range of [1, s ]]S is the number of wind speed values and a is a constant.
4. The method of claim 2, wherein said determining shape parameters and scale parameters of said weber distribution comprises:
according to the average wind speed U of each wind driven generator in the second time period i The number N of the second duration in the preset period, and an arithmetic expression:
determining a shape parameter K of the Weber distribution;
according to the shape parameter K, the average wind speed V in the preset period and the formula:
and determining the scale parameter A.
5. The method according to claim 1, wherein the determining the equivalent operation period of the wind turbine in the preset period according to the set rated power of the wind turbine in a unit period, the corresponding duty ratio of each wind speed value, and the power, includes:
according to the duty ratio h corresponding to the wind speed value of any wind driven generator i Power generation P corresponding to wind speed value j The preset period T and the rated power Q of the set wind driven generator in unit time length, and the formula:
determining equivalent working time length E of wind driven generator in preset period j Wherein i is a value range of a value interval [1, n1 ]]N1 is the number of wind speeds of any wind driven generator, j is the value range of the value interval [1, n2 ]]N2 is the number of wind generators.
6. The method according to claim 1, wherein before said determining, for each of said wind turbines, a duty cycle of a total duration of each of said wind speed values with said preset period and a corresponding generated power of each of said wind speed values within said preset period, respectively, said method further comprises:
determining an effective wind speed range according to the wind speed value and the corresponding generated power acquired at intervals of the first time, wherein the lower limit value of the effective wind speed range is as follows: so that the generated power is greater than a minimum wind speed value of 0, and the upper limit value of the effective wind speed range is as follows: so that the generated power reaches a minimum wind speed value of rated power.
7. The method according to any one of claims 1-6, further comprising:
and when the total correlation coefficient is larger than a set threshold value, determining that errors exist in wind speed acquisition of the wind driven generator.
8. An evaluation device for a wind power generator, the device comprising:
the data receiving unit is used for receiving wind speed values and corresponding power generation power which are acquired from a plurality of wind driven generators at intervals of a first time in a preset period;
the data determining unit is used for determining the duty ratio of the total duration time of each wind speed value to the preset period and the power generation power corresponding to each wind speed value in the preset period for each wind driven generator; wherein each wind speed value is within an effective wind speed range;
the working time length determining unit is used for determining the average wind speed of each wind driven generator in the preset period, and determining the equivalent working time length of the wind driven generator in the preset period according to the rated power of the wind driven generator in the unit time length, the duty ratio corresponding to each wind speed value and the power;
the data fitting unit is used for fitting each group of average wind speeds respectively corresponding to the plurality of wind driven generators and the equivalent working time length to obtain a functional relation between the equivalent working time length and the average wind speed;
the correlation determination unit is used for determining the average wind speeds and the equivalent working time length of all groups respectively corresponding to all the wind driven generators and the total correlation coefficient of the functional relation;
and the fault determining unit is used for determining that the power generation performance of the wind driven generator has faults when the total correlation coefficient is smaller than a set threshold value and outputting fault prompts.
9. A server comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, causes the server to perform the method according to any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, which when executed by a processor causes a computer to perform the method of any one of claims 1 to 7.
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| CN202310555495.3A CN116578820A (en) | 2023-05-17 | 2023-05-17 | Wind driven generator evaluation method, device, server and storage medium |
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| CN202310555495.3A CN116578820A (en) | 2023-05-17 | 2023-05-17 | Wind driven generator evaluation method, device, server and storage medium |
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