Fan power curve deterioration detection method, system, equipment and medium

Abstract

The invention discloses a fan power curve degradation detection method, system and device and a medium. Acquiring a power curve of the fan in the current quarter and a power curve of the fan in the last quarter; according to the power curve of the current quarter and the power curve of the last quarter of the fan, effective wind speed section proportions of the current quarter and the last quarter are calculated; and calculating the degradation value of the fan according to the effective wind speed section proportion of the fan in the current quarter and the effective wind speed section proportion of the fan in the last quarter. The method, the system, the equipment and the medium can accurately evaluate the degradation degree of the fan.

Description

Technical Field

[0001] The present invention belongs to the field of new energy and relates to a method, system, equipment and medium for detecting degradation of a wind turbine power curve. Background Art

[0002] The power curve of a wind turbine is mainly used to analyze the performance of the unit and evaluate the power generation capacity of the unit. The power curve can not only determine the quality of the output performance of the wind turbine, but also the accuracy of the power curve is closely related to the evaluation of wind farm operation, the normal operation of the wind power index system, and the analysis of reaching the design value, which directly affects the power generation and economic benefits of the wind turbine. Proper analysis and management of the consistency of the power curve of wind turbines will help improve the power generation efficiency of wind turbines and further improve the level of equipment management. At present, most of the degradation detection can only be carried out quantitatively, so the degree of degradation of the wind turbine cannot be accurately evaluated. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a method, system, device and medium for detecting degradation of wind turbine power curve, which can accurately evaluate the degree of degradation of the wind turbine.

[0004] In order to achieve the above object, the present invention adopts the following technical scheme:

[0005] In one aspect, the present invention provides a method for detecting degradation of a wind turbine power curve, comprising:

[0006] Get the power curve of the wind turbine in the current quarter and the power curve of the previous quarter;

[0007] Calculate the effective wind speed segment ratios of the current quarter and the previous quarter based on the wind turbine power curve of the current quarter and the power curve of the previous quarter;

[0008] The degradation value of the fan is calculated based on the effective wind speed segment ratio of the fan in the current quarter and the effective wind speed segment ratio of the fan in the previous quarter.

[0009] The wind turbine power curve degradation detection method of the present invention is further improved in that:

[0010] Furthermore, the calculation of the effective wind speed segment proportions of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter also includes:

[0011] Obtain the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the wind turbine in the previous quarter;

[0012] Obtaining the effective wind speed segment of the fan and the wind speed segment between cut-in and cut-out according to the data intersection;

[0013] Get the total number of scattered points in the effective wind speed segment of the current quarter.

[0014] Furthermore, the effective wind speed segment proportion Rn corresponding to the equipment quarterly wind speed segment = the total number of wind speed segments SUn / the total number of scattered points Un, where R is the wind speed segment proportion, n represents 1-4 quarters, SU is the total number of wind speed segments, and n is each wind speed segment 1, 2…n; U is the total number of scattered points for each wind turbine.

[0015] Furthermore, the degradation value P(x) of the fan is:

[0016]

[0017] Among them, i is the sampling point.

[0018] In a second aspect of the present invention, the present invention provides a wind turbine power curve degradation detection system, comprising:

[0019] The first acquisition module is used to obtain the power curve of the wind turbine in the current quarter and the power curve of the previous quarter;

[0020] The first calculation module is used to calculate the effective wind speed segment ratios of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter;

[0021] The second calculation module is used to calculate the degradation value of the fan according to the effective wind speed section ratio of the fan in the current quarter and the effective wind speed section ratio of the fan in the previous quarter.

[0022] The wind turbine power curve degradation detection system of the present invention is further improved in that:

[0023] Furthermore, it also includes:

[0024] The second acquisition module is used to obtain the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the wind turbine in the previous quarter;

[0025] A third calculation module is used to obtain the effective wind speed segment of the wind turbine and the wind speed segment between cut-in and cut-out according to the data intersection;

[0026] The third acquisition module is used to obtain the total number of scattered points in the effective wind speed section of the current quarter.

[0027] Furthermore, the effective wind speed segment proportion Rn corresponding to the equipment quarterly wind speed segment = the total number of wind speed segments SUn / the total number of scattered points Un, where R is the wind speed segment proportion, n represents 1-4 quarters, SU is the total number of wind speed segments, and n is each wind speed segment 1, 2…n; U is the total number of scattered points for each wind turbine.

[0028] Furthermore, the degradation value P(x) of the fan is:

[0029]

[0030] Among them, i is the sampling point.

[0031] In a third aspect of the present invention, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the wind turbine power curve degradation detection method when executing the computer program.

[0032] In a fourth aspect of the present invention, the present invention 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 steps of the wind turbine power curve degradation detection method are implemented.

[0033] The present invention has the following beneficial effects:

[0034] During specific operation, the wind turbine power curve degradation detection method, system, equipment and medium described in the present invention calculate the effective wind speed segment proportions of the current quarter and the previous quarter based on the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; calculate the degradation value of the wind turbine based on the effective wind speed segment proportions of the wind turbine in the current quarter and the effective wind speed segment proportions of the wind turbine in the previous quarter, so as to accurately evaluate the degree of degradation of the wind turbine, and the method is extremely practical. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0036] Figure 1 This is the deterioration trend chart of the wind turbines in Yunnan Machang New Energy from 2022 to 2023;

[0037] Figure 2 This is the distribution map of wind turbine degradation data at Yunnan Machang Wind Farm of New Energy from January to June 2023. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0039] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0040] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0041] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0042] It should be understood that, although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0043] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0045] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0046] Embodiment 1

[0047] As is known, effective wind speed range: wind speed within the cut-in and cut-out range of the fan at intervals of 0.5 meters;

[0048] Quarterly power curve: retrieve the 5-second wind speed, power and wind turbine blade pitch for each quarter from the unit monitoring system. Draw the power curve of the equipment by removing invalid discrete points in time and space and using the DBSCAN clustering method.

[0049] The wind turbine power curve degradation detection method of the present invention comprises the following steps:

[0050] 1) Obtain the power curve of the wind turbine in the current quarter and the power curve of the previous quarter;

[0051] 2) Calculate the effective wind speed segment ratios of the current quarter and the previous quarter based on the wind turbine power curve of the current quarter and the power curve of the previous quarter;

[0052] 3) Calculate the degradation value of the fan based on the effective wind speed segment ratio of the fan in the current quarter and the effective wind speed segment ratio of the fan in the previous quarter.

[0053] Before step 1) and step 2), the method further includes:

[0054] 11) Obtain the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the wind turbine in the previous quarter;

[0055] 12) Obtaining the effective wind speed segment of the fan and the wind speed segment between cut-in and cut-out according to the data intersection;

[0056] 13) Get the total number of scattered points in the effective wind speed segment of the current quarter.

[0057] The specific operations of step 2) are:

[0058] 21) Calculate the wind speed segment ratio Rn corresponding to the equipment quarterly wind speed segment = total number of wind speed segments SUn / total number of scattered points Un, where R is the wind speed segment ratio, n represents 1-4 quarters, SU is the total number of wind speed segments, n is each wind speed segment 1, 2…n; U is the total number of scattered points for each wind turbine.

[0059] 22) Obtain the wind speed and power of each wind speed segment in each season, each wind speed segment is s1…sn, and the power corresponding to each wind speed segment is P…pn;

[0060] In step 3), the degradation value P(x) of each wind turbine is:

[0061]

[0062] Where i is the sampling point, P = (p20 / p10)*R20+(p21 / p11)*R21+…+(p29 / p19)*R29, where p20 represents the power corresponding to the first wind speed segment in the second quarter, p10 represents the power corresponding to the first wind speed segment in the first quarter, R20 represents the proportion corresponding to the first wind speed segment in the second quarter, and P = sum (power of each wind speed segment in the current quarter / power of the previous quarter)*proportion of the current quarter.

[0063] In addition, the present invention has been applied in power plants, and the specific practical results are as follows: Figure 1 and Figure 2 shown.

[0064] Embodiment 2

[0065] The wind turbine power curve degradation detection system of the present invention comprises:

[0066] The first acquisition module is used to obtain the power curve of the wind turbine in the current quarter and the power curve of the previous quarter;

[0067] The first calculation module is used to calculate the effective wind speed segment ratios of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter;

[0068] The second calculation module is used to calculate the degradation value of the fan according to the effective wind speed section ratio of the fan in the current quarter and the effective wind speed section ratio of the fan in the previous quarter.

[0069] The wind turbine power curve degradation detection system of the present invention is further improved in that:

[0070] Furthermore, it also includes:

[0071] The second acquisition module is used to obtain the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the wind turbine in the previous quarter;

[0072] A third calculation module is used to obtain the effective wind speed segment of the wind turbine and the wind speed segment between cut-in and cut-out according to the data intersection;

[0073] The third acquisition module is used to obtain the total number of scattered points in the effective wind speed section of the current quarter.

[0074] As an implementation mode of the present invention, the effective wind speed segment ratio Rn corresponding to the equipment quarterly wind speed segment = the total number of wind speed segments SUn / the total number of scattered points Un, wherein R is the wind speed segment ratio, n represents 1-4 quarters, SU is the total number of wind speed segments, n is each wind speed segment 1, 2…n; U is the total number of scattered points for each wind turbine.

[0075] As an implementation mode of the present invention, the degradation value P(x) of the fan is:

[0076]

[0077] Among them, i is the sampling point.

[0078] The division of modules in the embodiments of the present application is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present application may be integrated into a processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0079] Embodiment 3

[0080] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for detecting degradation of the power curve of a wind turbine when executing the computer program, comprising: obtaining the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; obtaining the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; obtaining the effective wind speed segment of the wind turbine and the wind speed segment between cut-in and cut-out according to the data intersection; obtaining the total number of scattered points of the effective wind speed segment of the current quarter; calculating the proportion of the effective wind speed segments of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; and calculating the degradation value of the wind turbine according to the proportion of the effective wind speed segment of the wind turbine in the current quarter and the proportion of the effective wind speed segment of the wind turbine in the previous quarter. After calculating the effective wind speed segment ratio of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter, the method further includes: obtaining the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; obtaining the effective wind speed segment of the wind turbine and the wind speed segment between cut-in and cut-out according to the data intersection; obtaining the total number of scattered points of the effective wind speed segment of the current quarter; the effective wind speed segment ratio Rn corresponding to the equipment quarterly wind speed segment = the total number of wind speed segments SUn / the total number of scattered points Un, wherein R is the wind speed segment ratio, n represents 1-4 quarters, SU is the total number of wind speed segments, n is 1, 2…n for each wind speed segment; U is the total number of scattered points for each wind turbine. Wherein, the memory may include a memory, such as a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk memory, etc.; the processor, the network interface, and the memory are interconnected through an internal bus, and the internal bus may be an industrial standard architecture bus, a peripheral component interconnection standard bus, an extended industrial standard architecture bus, etc., and the bus may be divided into an address bus, a data bus, a control bus, etc. The memory is used to store programs, specifically, the programs may include program codes, and the program codes include computer operation instructions. The memory may include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0081] Embodiment 4

[0082] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of implementing the method for detecting degradation of a power curve of a wind turbine include: obtaining a power curve of the wind turbine in the current quarter and a power curve of the previous quarter; obtaining the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; obtaining an effective wind speed segment of the wind turbine and a wind speed segment between cut-in and cut-out according to the data intersection; obtaining the total number of scattered points of the effective wind speed segment of the current quarter; calculating the proportion of the effective wind speed segments of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; and calculating the degradation value of the wind turbine according to the proportion of the effective wind speed segment of the wind turbine in the current quarter and the proportion of the effective wind speed segment of the wind turbine in the previous quarter. After calculating the effective wind speed segment ratio of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter, the method further includes: obtaining the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the wind turbine in the previous quarter; obtaining the effective wind speed segment of the wind turbine and the wind speed segment between cut-in and cut-out according to the data intersection; obtaining the total number of scattered points of the effective wind speed segment of the current quarter; the effective wind speed segment ratio Rn corresponding to the equipment quarterly wind speed segment = the total number of wind speed segments SUn / the total number of scattered points Un, where R is the wind speed segment ratio, n represents 1-4 quarters, SU is the total number of wind speed segments, n is each wind speed segment 1, 2…n; U is the total number of scattered points for each wind turbine. Specifically, the computer-readable storage medium includes, but is not limited to, for example, volatile memory and / or non-volatile memory. The volatile memory may include random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include read-only memory (ROM), hard disk, flash memory, optical disk, magnetic disk, etc.

[0083] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0084] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0085] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0086] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for detecting degradation of a wind turbine power curve, characterized in that: include; Get the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; Calculate the effective wind speed segment ratios of the current quarter and the previous quarter based on the wind turbine power curve of the current quarter and the power curve of the previous quarter; The degradation value of the fan is calculated based on the effective wind speed segment ratio of the fan in the current quarter and the effective wind speed segment ratio of the fan in the previous quarter.

2. The method for detecting wind turbine power curve degradation according to claim 1, characterized in that: After calculating the effective wind speed segment ratios of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter, the method further includes: Obtain the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the wind turbine in the previous quarter; Obtaining the effective wind speed segment of the fan and the wind speed segment between cut-in and cut-out according to the data intersection; Get the total number of scattered points in the effective wind speed segment of the current quarter.

3. The method for detecting wind turbine power curve degradation according to claim 1, characterized in that: The effective wind speed segment ratio corresponding to the equipment quarterly wind speed segment Rn = total number of wind speed segments SUn / total number of scattered points Un, where R is the wind speed segment ratio, n represents 1-4 quarters, SU is the total number of wind speed segments, and n is 1, 2…n for each wind speed segment; U is the total number of scattered points for each wind turbine.

4. The method for detecting wind turbine power curve degradation according to claim 1, characterized in that: The deterioration value P(x) of the fan is: Among them, i is the sampling point.

5. A wind turbine power curve degradation detection system, characterized in that: include; The first acquisition module is used to obtain the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; The first calculation module is used to calculate the effective wind speed segment ratios of the current quarter and the previous quarter according to the power curve of the wind turbine in the current quarter and the power curve of the previous quarter; The second calculation module is used to calculate the degradation value of the fan according to the effective wind speed section ratio of the fan in the current quarter and the effective wind speed section ratio of the fan in the previous quarter.

6. The wind turbine power curve degradation detection system according to claim 5, characterized in that: Also includes: The second acquisition module is used to obtain the data intersection of the power curve of the wind turbine in the current quarter and the power curve of the wind turbine in the previous quarter; A third calculation module is used to obtain the effective wind speed segment of the wind turbine and the wind speed segment between cut-in and cut-out according to the data intersection; The third acquisition module is used to obtain the total number of scattered points in the effective wind speed section of the current quarter.

7. The wind turbine power curve degradation detection system according to claim 5, characterized in that: The effective wind speed segment ratio corresponding to the equipment quarterly wind speed segment Rn = total number of wind speed segments SUn / total number of scattered points Un, where R is the wind speed segment ratio, n represents 1-4 quarters, SU is the total number of wind speed segments, and n is 1, 2…n for each wind speed segment; U is the total number of scattered points for each wind turbine.

8. The wind turbine power curve degradation detection system according to claim 5, characterized in that: The deterioration value P(x) of the fan is: Among them, i is the sampling point.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the wind turbine power curve degradation detection method according to any one of claims 1 to 4 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the wind turbine power curve degradation detection method as described in any one of claims 1 to 4 are implemented.

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