CN109253056B - Wind power data analysis method and system - Google Patents
Wind power data analysis method and system Download PDFInfo
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- CN109253056B CN109253056B CN201811075200.8A CN201811075200A CN109253056B CN 109253056 B CN109253056 B CN 109253056B CN 201811075200 A CN201811075200 A CN 201811075200A CN 109253056 B CN109253056 B CN 109253056B
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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
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- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
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Abstract
The invention discloses a wind power data analysis method, a system, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring the actual generated energy of each wind turbine in the wind power plant within a preset time period, acquiring a theoretical power curve of each wind turbine, and calculating the theoretical generated energy of each wind turbine within the preset time period according to the theoretical power curve; acquiring operation information of each wind turbine generator in a preset time period, determining each loss factor from the operation information, and calculating the loss electric quantity of each loss factor to the wind turbine generator; calculating the power generation amount deviation of each wind turbine generator according to the theoretical power generation amount, the actual power generation amount and each loss power amount of each wind turbine generator; and judging whether the generated energy deviation value of each wind turbine generator is greater than a preset value or not so as to judge whether the performance of the wind turbine generator reaches the standard or not. According to the technical scheme, the loss electric quantity of the wind turbine generator can be carefully analyzed, so that the generating potential of the wind turbine generator can be fully excavated.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to a wind power data analysis method, a wind power data analysis system, wind power data analysis equipment and a computer readable storage medium.
Background
Wind power has received widespread attention and great attention globally as a clean renewable energy source. The operation data of the wind turbine generator is analyzed so as to fully excavate the power generation potential of the wind turbine generator, and therefore, the operation of the wind turbine generator in the optimal power generation state is an important research topic of each wind power enterprise.
At present, operators on site of the wind turbine generator do not know how to analyze the loss electric quantity by using the operation data of the wind turbine generator, and technicians for analyzing the wind turbine generator data do not know the actual internal factors of the site of the wind turbine generator, so that the analysis on the operation data of the wind turbine generator often stays on the surface and the essential reason of the loss of the electric quantity of the wind turbine generator cannot be analyzed, namely the analysis data are not careful, deep and accurate enough, and the power generation potential of the wind turbine generator cannot be fully mined.
In summary, how to analyze the power loss of the wind turbine in detail so as to fully exploit the power generation potential of the wind turbine is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
In view of the above, the present invention provides a method, a system, a device and a computer readable storage medium for analyzing wind power data, so as to analyze the power loss of a wind turbine in detail, thereby facilitating to fully exploit the power generation potential of the wind turbine.
In order to achieve the above purpose, the invention provides the following technical scheme:
a wind power data analysis method comprises the following steps:
acquiring the actual generated energy of each wind turbine generator in a wind power plant in a preset time period, acquiring a theoretical power curve of each wind turbine generator, and calculating the theoretical generated energy of each wind turbine generator in the preset time period according to the theoretical power curve;
acquiring operation information of each wind turbine generator in the preset time period, determining loss factors causing electric quantity loss to the corresponding wind turbine generator from the operation information, and calculating the loss electric quantity caused by each loss factor to the wind turbine generator;
calculating the power generation amount deviation of each wind turbine generator according to the theoretical power generation amount, the actual power generation amount and each loss power amount of each wind turbine generator;
and judging whether the generated energy deviation of each wind turbine generator is greater than a preset value so as to judge whether the performance of the wind turbine generator reaches the standard.
Preferably, the obtaining of the theoretical power curve of each wind turbine includes:
acquiring the air density of an area where each wind turbine generator is located and a standard power curve of each wind turbine generator;
and correcting the standard power curve by using the acquired air density to obtain the theoretical power curve.
Preferably, calculating the theoretical power generation amount of each wind turbine generator in the preset time period according to the theoretical power curve includes:
dividing the preset time period into a plurality of sub-time periods, acquiring the average wind speed in each sub-time period, and acquiring the theoretical power corresponding to the average wind speed in the theoretical power curve;
and calculating the theoretical power generation amount of the wind turbine generator in each sub-time period according to the theoretical power, and calculating the theoretical power generation amount of the wind turbine generator in the preset time period.
Preferably, calculating the loss electric quantity of each loss factor to the wind turbine generator includes:
if the loss factors comprise any one or more of wind turbine equipment factors, electrical equipment factors and abandoned wind loss factors, acquiring the current wind speed corresponding to each loss factor, respectively acquiring the current theoretical power curve corresponding to the current wind speed, and calculating the loss electric quantity by using the current power curve.
Preferably, calculating the loss electric quantity of each loss factor to the wind turbine generator includes:
if the loss factors comprise climate factors and/or yaw system wind deviation factors, acquiring wind speeds corresponding to the climate factors and/or the yaw system wind deviation factors, power curves corresponding to the wind speeds and reduction coefficients corresponding to the climate factors and/or the yaw system wind deviation factors, and calculating the loss electric quantity through the power curves and the reduction coefficients.
A wind power data analysis system comprising:
a first computing module to: acquiring the actual generated energy of each wind turbine generator in a wind power plant in a preset time period, acquiring a theoretical power curve of each wind turbine generator, and calculating the theoretical generated energy of each wind turbine generator in the preset time period according to the theoretical power curve;
a second calculation module to: acquiring operation information of each wind turbine generator in the preset time period, determining loss factors causing electric quantity loss to the corresponding wind turbine generator from the operation information, and calculating the loss electric quantity caused by each loss factor to the wind turbine generator;
a third calculation module to: calculating the power generation amount deviation of each wind turbine generator according to the theoretical power generation amount, the actual power generation amount and each loss power amount of each wind turbine generator;
a determination module configured to: and judging whether the generated energy deviation of each wind turbine generator is greater than a preset value so as to judge whether the performance of the wind turbine generator reaches the standard.
Preferably, the first calculation module includes:
an acquisition unit configured to: acquiring the air density of an area where each wind turbine generator is located and a standard power curve of each wind turbine generator;
a correction unit for: and correcting the standard power curve by using the acquired air density to obtain the theoretical power curve.
Preferably, the first calculation module further includes:
a dividing unit for: dividing the preset time period into a plurality of sub-time periods, acquiring the average wind speed in each sub-time period, and acquiring the theoretical power corresponding to the average wind speed in the theoretical power curve;
a computing unit to: and calculating the theoretical power generation amount of the wind turbine generator in each sub-time period according to the theoretical power, and calculating the theoretical power generation amount of the wind turbine generator in the preset time period.
A wind power data analysis device comprising:
a memory for storing a computer program;
a processor for implementing the steps of the wind power data analysis method according to any one of the above when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the wind power data analysis method of any of the preceding claims.
The invention provides a wind power data analysis method, a system, equipment and a computer readable storage medium, wherein the method comprises the following steps: acquiring the actual generated energy of each wind turbine in the wind power plant within a preset time period, acquiring a theoretical power curve of each wind turbine, and calculating the theoretical generated energy of each wind turbine within the preset time period according to the theoretical power curve; acquiring operation information of each wind turbine generator in a preset time period, determining loss factors causing electric quantity loss to the corresponding wind turbine generator from the operation information, and calculating the loss electric quantity caused by each loss factor to the wind turbine generator; calculating the power generation amount deviation of each wind turbine generator according to the theoretical power generation amount, the actual power generation amount and each loss power amount of each wind turbine generator; and judging whether the generated energy deviation of each wind turbine generator is greater than a preset value or not so as to judge whether the performance of the wind turbine generator reaches the standard or not.
According to the technical scheme disclosed by the application, the actual generated energy of each wind turbine generator in a preset time period is obtained, the theoretical generated energy of each wind turbine generator in the preset time period is calculated according to a theoretical power curve, loss factors are obtained from operation information of each wind turbine generator in the preset time period, the loss electric quantity caused by the loss factors is calculated to subdivide the loss electric quantity of the wind turbine generators, then, the generated energy deviation of each wind turbine generator is calculated according to the theoretical generated energy, the actual generated energy and the loss electric quantity, the generated energy deviation is compared with a preset value to judge whether the performance of the wind turbine generators reaches the standard or not, if the performance of the wind turbine generators reaches the standard, the wind turbine generators are indicated to operate in the best generating state, and if the performance of the wind turbine generators does not reach the standard, the wind turbine generators do not operate in the best generating state which can be reached, other factors which cannot be determined from the operation information influence the performance of the wind turbine generator, so that the wind turbine generator can be further checked and processed to fully excavate the generating potential of the wind turbine generator, and the generating capacity of the wind turbine generator is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a wind power data analysis method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a wind power data analysis system according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a wind power data analysis device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a flowchart of a wind power data analysis method provided in an embodiment of the present invention is shown, where the method may include:
s11: the method comprises the steps of obtaining the actual generated energy of each wind turbine in a wind power plant in a preset time period, obtaining a theoretical power curve of each wind turbine, and calculating the theoretical generated energy of each wind turbine in the preset time period according to the theoretical power curve.
After the processes of micro-site selection, determination of the altitude of the selected address, model selection of the wind turbine generator and the like, a wind power plant for wind power generation is established. After the wind turbines in the wind farm start to operate, acquiring the actual power generation amount of each wind turbine in the wind farm within a preset time period, wherein the preset time period is a time period preset according to the operating characteristics of the wind farm and/or the requirements of a wind power enterprise, and may be one month, one quarter, one year, and the like, and a month is taken as an example for explanation here.
In addition, a theoretical power curve of each wind turbine is obtained based on characteristics such as the model number of the wind turbine, and the theoretical power generation amount of each wind turbine in a preset time period is calculated according to the obtained theoretical power curve. The power curve of the wind turbine generator is a characteristic curve with wind speed as an abscissa and active power as an ordinate.
S12: the method comprises the steps of obtaining operation information of each wind turbine generator in a preset time period, determining loss factors causing electric quantity loss to the corresponding wind turbine generator from the operation information, and calculating the loss electric quantity caused by the loss factors to the wind turbine generator.
After the wind turbines are put into operation, operation information of each wind turbine in a preset time period is automatically acquired and obtained, wherein the operation information comprises weather information such as wind speed and air density, wind turbine operation information and power grid operation information. The automatic collection of the operation information can improve the accuracy and efficiency of operation information collection and improve the accuracy of data analysis.
And determining each loss factor causing electric quantity loss to the wind turbine generator from the acquired operation information, namely subdividing each loss factor causing electric quantity loss to the wind turbine generator, and calculating the loss electric quantity caused by each loss factor to the wind turbine generator. That is, the loss factor obtained from the operation information referred to herein is a calculable and quantifiable power loss factor (or quantifiable power loss factor for short).
It should be noted that, when calculating the loss electric quantity caused by each loss factor to the wind turbine, if each loss factor appears and disappears at the same time, only the loss electric quantity caused by the loss factor causing the most loss to the electric quantity needs to be calculated; if all loss factors appear at the same time but disappear at the same time, the loss electric quantity caused by the loss factor which has the longest appearance time and causes the most loss to the electric quantity is calculated; if the time periods of the loss factors are partially overlapped, respectively calculating the loss electric quantity of each loss factor in the non-overlapped time period, and calculating the loss electric quantity caused by the loss factor causing the most electric quantity loss in the overlapped time period; and if the loss factors individually appear and do not overlap, respectively calculating the loss electric quantity of each loss factor in the time period in which the loss factors respectively appear. The method for calculating the loss electric quantity can avoid repeated calculation of the loss electric quantity, so that the accuracy of calculation of the loss electric quantity is improved.
S13: and calculating the power generation amount deviation of each wind turbine generator according to the theoretical power generation amount, the actual power generation amount and each loss power amount of each wind turbine generator.
After the theoretical power generation amount and the actual power generation amount of each wind turbine generator within the preset time period and each power loss caused by each loss factor within the preset time period are calculated, the power generation amount deviation of each wind turbine generator can be calculated according to the theoretical power generation amount, the actual power generation amount and each power loss of each wind turbine generator.
Specifically, the theoretical power generation amount of each wind turbine generator is used for subtracting the actual power generation amount to obtain the total power loss of each wind turbine generator, and then each calculated power loss caused by each loss factor (quantifiable power loss factor) is subtracted from the total power loss to obtain the power generation amount deviation. The power generation amount deviation mentioned here is the power loss caused by the unquantizable power loss factor, and the unquantizable power loss factor is the power loss factor which cannot be obtained from the operation information and cannot be directly calculated and can not be directly quantified. That is, the total power loss of each wind turbine is composed of two parts, wherein one part of power loss is caused by quantifiable power loss factors, and the other part of power loss is caused by unquantizable power loss factors.
S14: and judging whether the generated energy deviation of each wind turbine generator is greater than a preset value or not so as to judge whether the performance of the wind turbine generator reaches the standard or not.
After the generated energy deviation of each wind turbine is calculated, the generated energy deviation of each wind turbine can be compared with a preset value to judge whether the generated energy deviation of each wind turbine is greater than the preset value or not, so that whether the performance of the wind turbine reaches the standard or not is judged. The preset value is generally 0, and of course, it may be set to other values according to the operation characteristics of the wind turbine.
If the deviation of the generated energy of the wind turbine generator is not greater than the preset value, it is indicated that the influence of unquantized electric quantity loss factors on the operation of the wind turbine generator does not exist, namely the performance of the wind turbine generator reaches the standard, namely the wind turbine generator is indicated to operate in the optimal power generation state; if the deviation of the generated energy of the wind turbine generator is larger than the preset value, it is indicated that the unquantized electric quantity loss factor affects the operation of the wind turbine generator, that is, the wind turbine generator does not operate in the optimal power generation state, at the moment, in order to enable the wind turbine generator to reach the optimal operation state, the generated energy of the wind turbine generator is improved, the power generation income of a wind power enterprise is improved, the wind turbine generator can be further checked and processed in time, the influence of the unquantized electric quantity loss factor on the operation of the wind turbine generator is reduced, and the generated energy of the wind turbine generator is improved.
Through careful analysis of the loss electric quantity of each wind turbine, the generated energy deviation of each wind turbine in a preset time period can be obtained, and the influence of unquantizable electric quantity loss factors on the wind turbines can be found in time, for example: the method has the advantages that the difference of a yaw system of a certain wind turbine generator set to wind is found to be 10 degrees in time, so that decisions are provided for field operators, management and control over unquantized electric quantity loss factors are realized, and the generating potential of each wind turbine generator set is fully excavated.
According to the technical scheme disclosed by the application, the actual generated energy of each wind turbine generator in a preset time period is obtained, the theoretical generated energy of each wind turbine generator in the preset time period is calculated according to a theoretical power curve, loss factors are obtained from operation information of each wind turbine generator in the preset time period, the loss electric quantity caused by the loss factors is calculated to subdivide the loss electric quantity of the wind turbine generators, then, the generated energy deviation of each wind turbine generator is calculated according to the theoretical generated energy, the actual generated energy and the loss electric quantity, the generated energy deviation is compared with a preset value to judge whether the performance of the wind turbine generators reaches the standard or not, if the performance of the wind turbine generators reaches the standard, the wind turbine generators are indicated to operate in the best generating state, and if the performance of the wind turbine generators does not reach the standard, the wind turbine generators do not operate in the best generating state which can be reached, other factors which cannot be determined from the operation information influence the performance of the wind turbine generator, so that the wind turbine generator can be further checked and processed to fully excavate the generating potential of the wind turbine generator, and the generating capacity of the wind turbine generator is improved.
The wind power data analysis method provided by the embodiment of the invention is used for acquiring the theoretical power curve of each wind turbine generator, and comprises the following steps:
acquiring the air density of an area where each wind turbine generator is located and a standard power curve of each wind turbine generator;
and correcting the standard power curve by using the acquired air density to obtain a theoretical power curve.
Considering that the theoretical power curve of the wind turbine generator is influenced by the climate of the installation area, especially by the air density, the theoretical power curve of the wind turbine generator can be corrected, so that the accuracy of the calculated theoretical power generation amount is improved, and the calculation error is reduced.
Specifically, the air density ρ of the region in which the wind turbine generator is located can be calculated by measuring the air temperature and the air pressure of the region in which the wind turbine generator is located, and the standard air density (ρ) of each wind turbine generator in the region is obtained0＝1.225kg/m3) Standard power curve (active power in standard power curve is marked as P)0) The standard power curve is then modified using the acquired air density ρ (the active power in the modified theoretical power curve is labeled as P)r) And then:
and therefore, a theoretical power curve of each wind turbine generator under different air densities is obtained. Of course, the air density ρ may be obtained in other manners, and the specific manner of obtaining the air density ρ is not limited in the present invention.
The wind power data analysis method provided by the embodiment of the invention is used for calculating the theoretical power generation amount of each wind turbine generator in a preset time period according to the theoretical power curve, and comprises the following steps:
dividing a preset time period into a plurality of sub-time periods, acquiring the average wind speed in each sub-time period, and acquiring the theoretical power corresponding to the average wind speed in a theoretical power curve;
and calculating the theoretical power generation amount of the wind turbine generator in each sub-time period according to the theoretical power, and calculating the theoretical power generation amount of the wind turbine generator in a preset time period.
After the theoretical power curve of the wind turbine generator is obtained according to the air density of the area where the wind turbine generator is located and the standard power curve, the theoretical power generation amount of each wind turbine generator in a preset time period can be calculated according to the theoretical power curve, and the calculation process specifically comprises the following steps:
the preset time period is divided into a plurality of sub-time periods, and the average wind speed in each sub-time period is calculated. And assuming that the wind turbine generator is maintained at the corresponding average wind speed in each sub-time period, obtaining theoretical power (namely active power) corresponding to the average wind speed from a theoretical power curve. And multiplying the theoretical power with the corresponding sub-time periods to calculate the theoretical power generation amount of the wind turbine generator in the corresponding sub-time periods, and calculating the theoretical power generation amount of the wind turbine generator in each sub-time period by a similar method. And accumulating the calculated theoretical power generation amount of each sub-time period to obtain the theoretical power generation amount of the wind turbine generator in the preset time period. The calculation method can quickly and efficiently calculate the theoretical power generation amount of the wind-out motor set in the preset time period.
It should be noted that, when the preset time period is divided into sub-time periods, in order to improve the accuracy of the calculation, the divided sub-time periods may be as small as possible, for example: if one month is used as the preset time period, 10 minutes may be used as one sub-time period for division. In addition, if the wind speed change amplitude of a certain divided sub-time period(s) is relatively large, the sub-time period can be divided again, and the theoretical power generation amount of the wind turbine generator in the sub-time period is calculated according to the calculation method, so that the calculation accuracy is improved.
The wind power data analysis method provided by the embodiment of the invention calculates the loss electric quantity of each loss factor to the wind turbine generator, and comprises the following steps:
if the loss factors comprise any one or more of wind turbine equipment factors, electrical equipment factors and abandoned wind loss factors, acquiring the current wind speed corresponding to each loss factor, respectively acquiring the current theoretical power curve corresponding to the current wind speed, and calculating the loss electric quantity by using the current power curve.
When the loss electric quantity caused by each loss factor on the wind turbine is calculated, if the loss factor comprises any one or more of wind turbine equipment factors, electrical equipment factors and wind abandon loss factors, the current wind speed corresponding to each loss factor in the occurrence time period is obtained, the current theoretical power curve corresponding to the current wind speed is obtained, and the loss electric quantity is calculated by using the current power curve and the time period in which the corresponding loss factor occurs. When the lost electric quantities appear at the same time and disappear at the same time, appear at the same time but do not disappear at the same time, appear at the same time and do not disappear at the same time but partially overlap, appear separately and do not overlap, the corresponding calculation method is described above, and is not described herein again.
The specific process of calculating the loss electric quantity by using the current power curve and the time period in which the corresponding loss factor occurs can be referred to the specific process of calculating the theoretical generated energy of each wind turbine generator in the preset time period according to the theoretical power curve, and is not described herein again.
The wind turbine equipment factors include but are not limited to wind turbine fault, maintenance, defect elimination, technical improvement, detection, inspection, newly-built wind turbine access and sector protection, the electrical equipment factors include but are not limited to electrical equipment fault, maintenance, detection, defect elimination and technical improvement, and the wind loss factors include but are not limited to dispatching load limitation, power grid fault and power grid maintenance.
The wind power data analysis method provided by the embodiment of the invention calculates the loss electric quantity of each loss factor to the wind turbine generator, and comprises the following steps:
if the loss factors comprise the climate factors and/or the yaw system wind deviation factors, acquiring the wind speed corresponding to the climate factors and/or the yaw system wind deviation factors, the power curve corresponding to the wind speed and the reduction coefficients corresponding to the climate factors and/or the yaw system wind deviation factors, and calculating the loss electric quantity through the power curve and the reduction coefficients.
When the loss factors include the climate factor and/or the yaw system wind deviation factor when calculating the loss electric quantity caused by each loss factor to the wind turbine generator, acquiring the wind speed corresponding to the climate factor and/or the yaw system wind deviation factor in the occurrence time period and the power curve corresponding to the wind speed, searching the reduction coefficient corresponding to the climate factor and/or the yaw system wind deviation factor through a design manual and the like, and calculating the loss electric quantity through the power curve and the reduction coefficient. Similarly, when the lost electric quantities appear at the same time and disappear at the same time, appear at the same time but do not disappear at the same time, appear at the same time and do not disappear at the same time but partially overlap, appear separately and do not overlap, the corresponding calculation method has been described above, and is not described herein again.
The specific process of calculating the loss electric quantity through the power curve and the reduction coefficient is similar to the specific process of calculating the theoretical electric quantity of each wind turbine generator in the preset time period according to the theoretical power curve, and the difference is that the product of the active power and the time period needs to be multiplied by the reduction coefficient to obtain the loss electric quantity.
The above climatic factors include, but are not limited to, ambient temperature outside of design range, cut-out wind speed, typhoon, freezing rain, yaw system wind bias including, but not limited to, yaw system wind lag, turbulence, wake.
An embodiment of the present invention further provides a wind power data analysis system, as shown in fig. 2, which shows a schematic structural diagram of the wind power data analysis system provided in the embodiment of the present invention, and the wind power data analysis system may include:
a first calculation module 11 configured to: acquiring the actual generated energy of each wind turbine in the wind power plant within a preset time period, acquiring a theoretical power curve of each wind turbine, and calculating the theoretical generated energy of each wind turbine within the preset time period according to the theoretical power curve;
a second calculation module 12 for: acquiring operation information of each wind turbine generator in a preset time period, determining loss factors causing electric quantity loss to the corresponding wind turbine generator from the operation information, and calculating the loss electric quantity caused by each loss factor to the wind turbine generator;
a third calculation module 13 for: calculating the power generation amount deviation of each wind turbine generator according to the theoretical power generation amount, the actual power generation amount and each loss power amount of each wind turbine generator;
a determining module 14, configured to: and judging whether the generated energy deviation of each wind turbine generator is greater than a preset value or not so as to judge whether the performance of the wind turbine generator reaches the standard or not.
In the wind power data analysis system provided in the embodiment of the present invention, the first calculation module 11 may include:
an acquisition unit configured to: acquiring the air density of an area where each wind turbine generator is located and a standard power curve of each wind turbine generator;
a correction unit for: and correcting the standard power curve by using the acquired air density to obtain a theoretical power curve.
In the wind power data analysis system provided in the embodiment of the present invention, the first calculation module 11 may further include:
a dividing unit for: dividing a preset time period into a plurality of sub-time periods, acquiring the average wind speed in each sub-time period, and acquiring the theoretical power corresponding to the average wind speed in a theoretical power curve;
a computing unit to: and calculating the theoretical power generation amount of the wind turbine generator in each sub-time period according to the theoretical power, and calculating the theoretical power generation amount of the wind turbine generator in a preset time period.
For description of relevant parts in the wind power data analysis system provided by the embodiment of the invention, reference is made to detailed description of corresponding parts in the wind power data analysis method provided by the embodiment of the invention, which is not repeated herein, and the wind power data analysis system provided by the embodiment of the invention can be embedded in new energy EAM (Enterprise Asset Management), so that the Management innovation value of the new energy EAM is improved.
An embodiment of the present invention further provides a wind power data analysis device, as shown in fig. 3, which shows a schematic structural diagram of the wind power data analysis device provided in the embodiment of the present invention, and the wind power data analysis device may include:
a memory 21 for storing a computer program;
and the processor 22 is used for implementing the steps of any one of the wind power data analysis methods when executing the computer program.
The embodiment of the invention also provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program realizes the steps of any one of the wind power data analysis methods.
Similarly, for descriptions of relevant parts in the wind power data analysis device and the computer-readable storage medium provided in the embodiments of the present invention, reference is made to detailed descriptions of corresponding parts in the wind power data analysis method provided in the embodiments of the present invention, and details are not described here again.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Furthermore, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include elements inherent in the list. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element. In addition, parts of the above technical solutions provided in the embodiments of the present invention that are consistent with the implementation principles of the corresponding technical solutions in the prior art are not described in detail, so as to avoid redundant description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A wind power data analysis method is characterized by comprising the following steps:
acquiring the actual generated energy of each wind turbine generator in a wind power plant in a preset time period, acquiring a theoretical power curve of each wind turbine generator, and calculating the theoretical generated energy of each wind turbine generator in the preset time period according to the theoretical power curve;
acquiring operation information of each wind turbine generator in the preset time period, determining loss factors causing electric quantity loss to the corresponding wind turbine generator from the operation information, and calculating the loss electric quantity caused by each loss factor to the wind turbine generator; when the loss electric quantity caused by each loss factor to the wind turbine generator is calculated, if the time periods of the loss factors are partially overlapped, the loss electric quantity of each loss factor in the non-overlapped time periods is calculated respectively, and the loss electric quantity caused by the loss factor causing the most electric quantity loss in the overlapped time periods is calculated; if the loss factors individually appear and are not overlapped, respectively calculating the loss electric quantity of each loss factor in the appearing time period;
calculating the power generation amount deviation of each wind turbine generator according to the theoretical power generation amount, the actual power generation amount and each loss power amount of each wind turbine generator;
and judging whether the generated energy deviation of each wind turbine generator is greater than a preset value so as to judge whether the performance of the wind turbine generator reaches the standard.
2. The method for analyzing wind power data according to claim 1, wherein obtaining a theoretical power curve of each wind turbine comprises:
acquiring the air density of an area where each wind turbine generator is located and a standard power curve of each wind turbine generator;
and correcting the standard power curve by using the acquired air density to obtain the theoretical power curve.
3. The method for analyzing the wind power data according to claim 2, wherein calculating the theoretical power generation amount of each wind turbine in the preset time period according to the theoretical power curve comprises:
dividing the preset time period into a plurality of sub-time periods, acquiring the average wind speed in each sub-time period, and acquiring the theoretical power corresponding to the average wind speed in the theoretical power curve;
and calculating the theoretical power generation amount of the wind turbine generator in each sub-time period according to the theoretical power, and calculating the theoretical power generation amount of the wind turbine generator in the preset time period.
4. The method for analyzing the wind power data according to claim 1, wherein calculating the loss power of each loss factor to the wind turbine generator comprises:
if the loss factors comprise any one or more of wind turbine equipment factors and abandoned wind loss factors, acquiring the current wind speed corresponding to each loss factor, respectively acquiring the current theoretical power curve corresponding to the current wind speed, and calculating the loss electric quantity by using the current theoretical power curve.
5. The wind power data analysis method according to claim 4, wherein calculating the loss electric quantity of each loss factor to the wind turbine generator comprises:
if the loss factors comprise climate factors and/or yaw system wind deviation factors, acquiring wind speeds corresponding to the climate factors and/or the yaw system wind deviation factors, power curves corresponding to the wind speeds and reduction coefficients corresponding to the climate factors and/or the yaw system wind deviation factors, and calculating the loss electric quantity through the power curves and the reduction coefficients.
6. A wind power data analysis system, comprising:
a first computing module to: acquiring the actual generated energy of each wind turbine generator in a wind power plant in a preset time period, acquiring a theoretical power curve of each wind turbine generator, and calculating the theoretical generated energy of each wind turbine generator in the preset time period according to the theoretical power curve;
a second calculation module to: acquiring operation information of each wind turbine generator in the preset time period, determining loss factors causing electric quantity loss to the corresponding wind turbine generator from the operation information, and calculating the loss electric quantity caused by each loss factor to the wind turbine generator; when the loss electric quantity caused by each loss factor to the wind turbine generator is calculated, if the time periods of the loss factors are partially overlapped, the loss electric quantity of each loss factor in the non-overlapped time periods is calculated respectively, and the loss electric quantity caused by the loss factor causing the most electric quantity loss in the overlapped time periods is calculated; if the loss factors individually appear and are not overlapped, respectively calculating the loss electric quantity of each loss factor in the appearing time period;
a third calculation module to: calculating the power generation amount deviation of each wind turbine generator according to the theoretical power generation amount, the actual power generation amount and each loss power amount of each wind turbine generator;
a determination module configured to: and judging whether the generated energy deviation of each wind turbine generator is greater than a preset value so as to judge whether the performance of the wind turbine generator reaches the standard.
7. The wind power data analysis system of claim 6, wherein the first calculation module comprises:
an acquisition unit configured to: acquiring the air density of an area where each wind turbine generator is located and a standard power curve of each wind turbine generator;
a correction unit for: and correcting the standard power curve by using the acquired air density to obtain the theoretical power curve.
8. The wind power data analysis system of claim 7, wherein the first calculation module further comprises:
a dividing unit for: dividing the preset time period into a plurality of sub-time periods, acquiring the average wind speed in each sub-time period, and acquiring the theoretical power corresponding to the average wind speed in the theoretical power curve;
a computing unit to: and calculating the theoretical power generation amount of the wind turbine generator in each sub-time period according to the theoretical power, and calculating the theoretical power generation amount of the wind turbine generator in the preset time period.
9. A wind power data analysis device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the wind power data analysis method according to any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of the wind power data analysis method according to any one of claims 1 to 5.
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| CN112632112A (en) * | 2019-12-31 | 2021-04-09 | 北京金风慧能技术有限公司 | Method and equipment for calculating loss electric quantity of wind generating set |
| CN111797545B (en) * | 2020-07-27 | 2023-12-08 | 龙源（北京）风电工程设计咨询有限公司 | Wind turbine generator yaw reduction coefficient calculation method based on measured data |
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