A method, device and storage medium for assisting wind turbine generator set performance evaluation

Abstract

In the method for assisting the performance evaluation of wind turbines proposed in the present application, the operating parameters of the same brand of wind turbines within a preset time period are obtained; the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines are obtained by calculation according to the operating parameters of the brand of wind turbines within the preset time period; the performance evaluation results of the brand of wind turbines are obtained by calculation according to the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines. After obtaining the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines, the present application obtains the performance evaluation results of the brand of wind turbines by calculation, so that the performance of wind turbines of different brands can be objectively evaluated according to the index values ​​corresponding to multiple performance evaluation indicators, without relying on manual experience, so that the performance of wind turbines of different brands can be evaluated based on unified standards, making the performance evaluation results more objective and accurate.

Description

Technical Field

[0001] The present application relates to the technical field of performance evaluation, and in particular to a method, device and storage medium for assisting in performance evaluation of a wind turbine generator set. Background Art

[0002] When selecting wind turbines in a wind farm, it is necessary to compare the performance of wind turbines of different brands in order to determine the wind turbine with the best performance, thereby ensuring the safe and stable operation of the power grid and the full utilization of wind energy.

[0003] However, in the related art, the performance of wind turbines of different brands is tested to determine the performance evaluation index of the wind turbines of different brands, and then the performance evaluation results of wind turbines of different brands are determined based on the obtained performance evaluation index and manual experience. However, the above method is highly subjective, so that the performance of wind turbines of different brands cannot be accurately judged. Summary of the invention

[0004] The present application provides a method, device and storage medium for assisting in wind turbine generator set performance evaluation to solve the technical problems arising in the above-mentioned related technologies.

[0005] The first embodiment of the present application provides a method for assisting performance evaluation of a wind turbine generator set, comprising:

[0006] Obtain the operating parameters of wind turbines of the same brand within a preset time period;

[0007] According to the operating parameters of the brand wind generator set within a preset time period, index values ​​corresponding to multiple performance evaluation indexes of the brand wind generator set are obtained by calculation;

[0008] According to the index values ​​corresponding to the multiple performance evaluation indexes of the brand of wind turbine generator set, the performance evaluation result of the brand of wind turbine generator set is obtained by calculation.

[0009] Optionally, the performance evaluation indicators include:

[0010] Comprehensive parameters;

[0011] First system failure rate;

[0012] Second system failure rate;

[0013] Third system failure rate.

[0014] Optionally, the index values ​​corresponding to the multiple performance evaluation indexes of the brand of wind turbine generator set are obtained by calculation according to the operating parameters of the brand of wind turbine generator set within a preset time period, including:

[0015] According to the operating parameters of the brand wind generator set within a preset time period, the index value corresponding to the comprehensive parameter of the brand wind generator set is obtained by calculation;

[0016] According to the operating parameters of the brand of wind turbine generator set within a preset time period, an index value corresponding to the first system failure rate of the brand of wind turbine generator set is obtained by calculation;

[0017] According to the operating parameters of the wind turbine generator set of the brand within a preset time period, an index value corresponding to the second system failure rate of the wind turbine generator set of the brand is obtained by calculation;

[0018] According to the operating parameters of the brand of wind turbine generator set within a preset time period, an index value corresponding to the third system failure rate of the brand of wind turbine generator set is obtained by calculation.

[0019] Optionally, the step of obtaining the index value corresponding to the comprehensive parameter of the brand of wind turbine generator set by calculation according to the operating parameters of the brand of wind turbine generator set within a preset time period includes:

[0020] According to the operating parameters of the brand of wind turbine generator set within a preset time period, the mean time between failures, major component replacement rate, wind turbine availability and power consistency coefficient of the brand of wind turbine generator set are calculated;

[0021] According to the mean time between failures, major component replacement rate, wind turbine availability and power consistency coefficient, the index values ​​corresponding to the comprehensive parameters of the brand of wind turbine generator set are obtained by calculation.

[0022] Optionally, obtaining the index value corresponding to the first system failure rate of the brand of wind turbine generator set by calculation according to the operating parameters of the brand of wind turbine generator set within a preset time period includes:

[0023] According to the operating parameters of the wind turbine generator set of the brand within a preset time period, the failure rate of the nacelle and tower system and the failure rate of the wind rotor system of the wind turbine generator set of the brand are obtained;

[0024] According to the failure rate of the nacelle and tower system and the failure rate of the wind rotor system, an index value corresponding to the first system failure rate of the brand of wind turbine generator set is obtained by calculation.

[0025] Optionally, obtaining the index value corresponding to the second system failure rate of the brand of wind turbine generator set by calculation according to the operating parameters of the brand of wind turbine generator set within a preset time period includes:

[0026] According to the operating parameters of the wind turbine generator set of the brand in a preset time period, the failure rate of the transmission speed change system, the failure rate of the hydraulic and braking system, and the failure rate of the generator system of the wind turbine generator set of the brand are obtained;

[0027] According to the transmission speed change system failure rate, the hydraulic and braking system failure rate and the generator system failure rate, an index value corresponding to the second system failure rate of the brand of wind turbine generator set is obtained by calculation.

[0028] Optionally, obtaining the index value corresponding to the third system failure rate of the brand of wind generator set by calculation according to the operating parameters of the brand of wind generator set within a preset time period includes:

[0029] According to the operating parameters of the wind turbine generator set of the brand within a preset time period, the failure rate of the blade adjustment system, the failure rate of the control and protection system, the failure rate of the yaw system and the failure rate of the converter system of the wind turbine generator set of the brand are obtained;

[0030] According to the failure rate of the blade adjustment system, the failure rate of the control and protection system, the failure rate of the yaw system and the failure rate of the converter system, an index value corresponding to the failure rate of the third system of the brand of wind turbine generator set is obtained by calculation.

[0031] Optionally, the performance evaluation result of the brand of wind turbine generator set is obtained by calculation according to the index values ​​corresponding to the multiple performance evaluation indexes of the brand of wind turbine generator set, including:

[0032] Determine a weight coefficient corresponding to each performance evaluation indicator among multiple performance evaluation indicators of the brand of wind turbine generator set;

[0033] Based on the weight coefficient and the index value corresponding to each performance evaluation index, the performance evaluation result of the brand of wind turbine generator set is obtained by calculation.

[0034] The second embodiment of the present application provides a device for assisting in performance evaluation of a wind turbine generator set, comprising:

[0035] An acquisition module is used to acquire the operating parameters of wind turbines of the same brand within a preset time period;

[0036] A first calculation module, configured to obtain index values ​​corresponding to a plurality of performance evaluation indexes of the brand of wind generator set by calculation according to the operating parameters of the brand of wind generator set within a preset time period;

[0037] The second calculation module is used to obtain the performance evaluation result of the brand of wind turbine generator set by calculation according to the index values ​​corresponding to the multiple performance evaluation indexes of the brand of wind turbine generator set.

[0038] The computer device proposed in the third aspect of the present application is characterized in that it includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the program, the method described in the first aspect above is implemented.

[0039] The computer storage medium proposed in the fourth aspect of the present application stores computer executable instructions; after the computer executable instructions are executed by the processor, the method described in the first aspect above can be implemented.

[0040] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects:

[0041] In the method, device and storage medium for assisting the performance evaluation of wind turbines proposed in the present application, the operating parameters of the same brand of wind turbines within a preset time period are obtained; the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines are obtained by calculation according to the operating parameters of the brand of wind turbines within the preset time period; the performance evaluation results of the brand of wind turbines are obtained by calculation according to the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines. It can be seen from this that after the present application obtains the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines, the performance evaluation results of the brand of wind turbines can be obtained by calculation, so that the performance of wind turbines of different brands can be objectively evaluated according to the index values ​​corresponding to multiple performance evaluation indicators, without relying on manual experience, so that the performance of wind turbines of different brands can be evaluated based on unified standards, making the performance evaluation results more objective and accurate.

[0042] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0044] Figure 1 A schematic flow chart of a method for assisting wind turbine generator performance evaluation according to an embodiment of the present application;

[0045] Figure 2 The present invention is a schematic diagram of the structure of a device for assisting in performance evaluation of a wind turbine generator set according to an embodiment of the present application. DETAILED DESCRIPTION

[0046] The embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0047] The following describes the method and device for assisting wind turbine generator performance evaluation according to the embodiments of the present application with reference to the accompanying drawings.

[0048] Embodiment 1

[0049] Figure 1 FIG. 1 is a flow chart of a method for assisting wind turbine generator performance evaluation according to an embodiment of the present application. Figure 1 As shown, the following steps may be included:

[0050] Step 101: Obtain operating parameters of wind turbine generator sets of the same brand within a preset time period.

[0051] In the embodiment of the present application, the preset time period may be a period of time in the past, such as the past 6 months or the past year, and the preset time period may be set as needed.

[0052] Furthermore, in the embodiments of the present application, the operating parameters of wind turbines of the same brand within a preset time period can be obtained through the wind farm monitoring system.

[0053] Furthermore, in the embodiments of the present application, the above operating parameters may include the unplanned downtime, number of unplanned downtimes, number of major component replacements, wind turbine operating time, wind turbine standby time, wind turbine power-limited time, wind turbine installed capacity, rated power curve, actual power curve, number of wind turbines, and number of downtimes due to failures in each system of the wind turbine within a preset time period of the same brand of wind turbine generator set. Among them, in the embodiments of the present application, the above major component replacement times may include blade replacement times, main shaft replacement times, gearbox replacement times, generator replacement times, and hub replacement times.

[0054] Step 102: according to the operating parameters of the brand wind turbine generator set in a preset time period, obtain the index values ​​corresponding to the multiple performance evaluation indexes of the brand wind turbine generator set by calculation.

[0055] Among them, in the embodiment of the present application, after obtaining the operating parameters of the same brand of wind turbine generator set within a preset time period through the above steps, the index values ​​corresponding to multiple performance evaluation indexes of the brand of wind turbine generator set can be obtained by calculation.

[0056] Specifically, in the embodiments of the present application, the above performance evaluation indicators may include:

[0057] Comprehensive parameters;

[0058] First system failure rate;

[0059] Second system failure rate;

[0060] Third system failure rate.

[0061] Among them, in the embodiment of the present application, the method for obtaining the index values ​​corresponding to multiple performance evaluation indexes of a brand wind generator set according to the operating parameters of the brand wind generator set within a preset time period may include the following steps:

[0062] Step 1021, according to the operating parameters of the brand of wind turbine generator set in a preset time period, obtain the index value corresponding to the comprehensive parameter of the brand of wind turbine generator set by calculation;

[0063] Among them, in the embodiments of the present application, the above-mentioned method of obtaining the index value corresponding to the comprehensive parameters of the brand of wind turbine generator set by calculation according to the operating parameters of the brand of wind turbine generator set within a preset time period may include: obtaining the mean time between failures, major component replacement rate, wind turbine availability and power consistency coefficient of the brand of wind turbine generator set by calculation according to the operating parameters of the brand of wind turbine generator set within a preset time period, and obtaining the index value corresponding to the comprehensive parameters of the brand of wind turbine generator set by calculation according to the mean time between failures, major component replacement rate, wind turbine availability and power consistency coefficient.

[0064] Specifically, in the embodiment of the present application, the mean time between failures of the wind turbine generator set of the same brand can be obtained by a first formula based on the unplanned outage time and the number of unplanned outages of each wind turbine generator set of the same brand within a preset time period, wherein the first formula is:

[0065]

[0066] Furthermore, in the embodiment of the present application, the major component replacement rate of the wind turbine generator set of the same brand can be obtained by a second formula based on the number of major component replacements of all wind turbine generator sets of the same brand within a preset time period, wherein the second formula is:

[0067]

[0068] Further, in the embodiment of the present application, the available hours of the wind turbines of each wind turbine generator set of the same brand can be obtained by a third formula based on the wind turbine operating state time, wind turbine standby state time, and wind turbine power-limiting state time of each wind turbine generator set of the same brand within a preset time period, wherein the third formula is:

[0069] Fan available hours = fan running time + fan standby time

[0070] +Fan power-limiting state time.

[0071] Further, in the embodiment of the present application, the available hours of the wind turbine of the brand can be obtained by a fourth formula based on the available hours of the wind turbine and the installed capacity of the wind turbine of each wind turbine of the brand, wherein the fourth formula is:

[0072]

[0073] Further, in the embodiment of the present application, the wind turbine availability of the brand of wind turbine generator set can be obtained by the fifth formula based on the available hours of the brand of wind turbine generator set within the preset time period, wherein the fifth formula is:

[0074]

[0075] Further, in the embodiment of the present application, the power consistency coefficient of the wind turbine generator set of the same brand can be obtained by the sixth formula based on the rated power curve and the actual power curve of each wind turbine generator set of the same brand within a preset time period, wherein the sixth formula is:

[0076]

[0077] The preset time period may include multiple moments. For example, assuming that the preset time period is the past 4 hours, and each moment is 15 minutes apart, the past 4 hours may include 16 moments. Also, the rated power curve includes the rated power at each moment in the preset time period, and the actual power curve includes the actual power at each moment in the preset time period. n is the total number of moments in the preset time period. The power characteristic consistency coefficient of each wind turbine in the same brand of wind turbines can be calculated.

[0078] Further, in the embodiment of the present application, after the mean trouble-free time, major component replacement rate, wind turbine availability and power consistency coefficient of the brand wind turbine generator set are obtained through the above steps, the scores corresponding to the mean trouble-free time, mean downtime, major component replacement rate, wind turbine availability and power consistency coefficient can be obtained according to the score comparison table corresponding to the mean trouble-free time, major component replacement rate, wind turbine availability and power consistency coefficient, and then the obtained scores are multiplied by the proportion of each parameter and added to obtain the index value of the comprehensive parameter of the brand wind turbine generator set. Among them, the total score of the above score comparison table can be set as needed, for example, 10 points or 100 points.

[0079] Step 1022: according to the operating parameters of the brand of wind turbine generator set in a preset time period, obtain the index value corresponding to the first system failure rate of the brand of wind turbine generator set by calculation;

[0080] Among them, in the embodiments of the present application, the method for obtaining the index value corresponding to the first system failure rate of the brand wind turbine generator set by calculation according to the operating parameters of the brand wind turbine generator set within a preset time period may include: obtaining the nacelle and tower system failure rate and the wind rotor system failure rate of the brand wind turbine generator set according to the operating parameters of the brand wind turbine generator set within a preset time period, and obtaining the index value corresponding to the first system failure rate of the brand wind turbine generator set by calculation according to the nacelle and tower system failure rate and the wind rotor system failure rate.

[0081] Specifically, in the embodiment of the present application, the failure rate of the nacelle and tower system can be obtained by the seventh formula according to the number of failure shutdowns of the nacelle and tower system within a preset time period of the brand wind turbine generator set, wherein the seventh formula is:

[0082]

[0083] Among them, the above-mentioned number of shutdowns due to nacelle and tower system failures is the total number of shutdowns due to nacelle and tower system failures of all wind turbines in the same brand of wind turbines.

[0084] And, in the embodiment of the present application, the wind rotor system failure rate can be obtained by the eighth formula according to the number of wind rotor system failure shutdowns within a preset time period of the brand wind turbine generator set, wherein the eighth formula is:

[0085]

[0086] Further, in the embodiment of the present application, after obtaining the nacelle and tower system failure rate and the rotor system failure rate of the brand wind turbine generator set through the above steps, the scores corresponding to the nacelle and tower system failure rate and the rotor system failure rate can be obtained according to the score comparison table corresponding to the nacelle and tower system failure rate and the rotor system failure rate, and then the obtained scores are multiplied by their respective proportions and added to obtain the index value corresponding to the first system failure rate of the brand wind turbine generator set. The total score of each score comparison table is the same, for example, 100 points.

[0087] Step 1023: according to the operating parameters of the brand of wind turbine generator set in a preset time period, obtain the index value corresponding to the second system failure rate of the brand of wind turbine generator set by calculation;

[0088] Among them, in the actual example of the present application, the above-mentioned method of obtaining the index value corresponding to the second system failure rate of the brand wind generator set by calculation according to the operating parameters of the brand wind generator set within a preset time period may include: obtaining the transmission speed change system failure rate, hydraulic and braking system failure rate and generator system failure rate of the brand wind generator set according to the operating parameters of the brand wind generator set within a preset time period, and obtaining the index value corresponding to the second system failure rate of the brand wind generator set by calculation according to the transmission speed change system failure rate, hydraulic and braking system failure rate and generator system failure rate.

[0089] Specifically, in the embodiment of the present application, the transmission speed system failure rate, hydraulic and braking system failure rate and generator system failure rate can be obtained by the transmission speed system failure shutdown number, hydraulic and braking system failure shutdown number and generator system failure shutdown number within a preset time period of the brand wind turbine generator set. Among them, the specific calculation method can refer to the calculation method of the nacelle and tower system failure rate and the wind rotor system failure rate, which will not be described in detail in the embodiment of the present disclosure.

[0090] Furthermore, in the embodiments of the present application, after obtaining the transmission speed change system failure rate, hydraulic and braking system failure rate and generator system failure rate of a brand of wind turbine generator set through the above steps, the scores corresponding to the transmission speed change system failure rate, hydraulic and braking system failure rate and generator system failure rate can be obtained according to the score comparison table corresponding to each of the transmission speed change system failure rate, hydraulic and braking system failure rate and generator system failure rate, and then the obtained scores are multiplied by their respective proportions and added to obtain the index value corresponding to the second system failure rate of the brand of wind turbine generator set.

[0091] Step 1024: according to the operating parameters of the brand of wind turbine generator set in a preset time period, obtain the index value corresponding to the third system failure rate of the brand of wind turbine generator set by calculation;

[0092] Among them, in the embodiments of the present application, the method for obtaining the index value corresponding to the third system failure rate of the brand of wind turbine generator set by calculation according to the operating parameters of the brand of wind turbine generator set within a preset time period may include: obtaining the blade adjustment system failure rate, control and protection system failure rate, yaw system failure rate and converter system failure rate of the brand of wind turbine generator set according to the operating parameters of the brand of wind turbine generator set within a preset time period, and obtaining the index value corresponding to the third system failure rate of the brand of wind turbine generator set according to the blade adjustment system failure rate, control and protection system failure rate, yaw system failure rate and converter system failure rate.

[0093] Specifically, in the embodiment of the present application, the above can obtain the blade adjustment system failure rate, control and protection system failure rate, yaw system failure rate and converter system failure rate respectively through the number of blade adjustment system failure shutdowns, control and protection system failure shutdowns, yaw system failure shutdowns and converter system failure shutdowns within a preset time period of the wind turbine generator set. Among them, the specific calculation method can refer to the calculation method of the above-mentioned nacelle and tower system failure rate and wind rotor system failure rate, and the embodiment of the present disclosure will not be repeated here.

[0094] Furthermore, in the embodiments of the present application, after obtaining the blade adjustment system failure rate, control and protection system failure rate, yaw system failure rate and converter system failure rate of a brand of wind turbine generator sets through the above steps, the scores corresponding to the blade adjustment system failure rate, control and protection system failure rate, yaw system failure rate and converter system failure rate can be obtained according to the score comparison table corresponding to each of the blade adjustment system failure rate, control and protection system failure rate, yaw system failure rate and converter system failure rate, and then the obtained scores are multiplied by their respective proportions and added to obtain the index value corresponding to the third system failure rate of the brand of wind turbine generator sets.

[0095] Step 103: Obtain the performance evaluation result of the brand wind generator set by calculation according to the index values ​​corresponding to the multiple performance evaluation indexes of the brand wind generator set.

[0096] Among them, in the embodiments of the present application, after obtaining the index values ​​corresponding to multiple performance evaluation indicators of a brand of wind turbine generator set through the above steps, the performance evaluation result of the brand of wind turbine generator set can be obtained by calculation based on the index values ​​corresponding to the multiple performance evaluation indicators of the brand of wind turbine generator set.

[0097] Specifically, in the embodiment of the present application, the method for obtaining the performance evaluation result of the brand of wind turbine generator set by calculation according to the index values ​​corresponding to the multiple performance evaluation indexes of the brand of wind turbine generator set may include the following steps:

[0098] Step 1031, determining a weight coefficient corresponding to each performance evaluation index among multiple performance evaluation indexes of a brand of wind turbine generator set;

[0099] Among them, in the embodiment of the present application, the weight coefficient corresponding to each of the above-mentioned performance evaluation indicators can be determined as needed. For example, in the embodiment of the present application, the weight coefficient corresponding to each performance evaluation indicator can be determined according to the importance of each performance evaluation indicator, and the sum of the weight coefficients corresponding to the performance evaluation indicators is 1.

[0100] Step 1032: Based on the weight coefficient and index value corresponding to each performance evaluation index, the performance evaluation result of the brand wind turbine generator set is obtained by calculation.

[0101] Among them, in the embodiments of the present application, the index value corresponding to each performance evaluation index can be multiplied by the corresponding weight coefficient and added together to obtain the performance evaluation result of the brand wind turbine generator set.

[0102] For example, in the embodiments of the present application, it is assumed that the index values ​​and weight coefficients corresponding to the above-mentioned comprehensive parameters are A1 and W1 respectively, the index values ​​and weight coefficients corresponding to the first system failure rate are A2 and W2 respectively, the index values ​​corresponding to the second system failure rate are A3 and W3, and the index values ​​corresponding to the third system failure rate are A4 and W4. The performance evaluation result of the brand wind turbine generator set is obtained by A1×W1+A2×W2+A3×W3+A4×W4.

[0103] In addition, in the embodiments of the present application, users can obtain performance evaluation results of wind turbines of different brands according to the above method, and thus can select the wind turbine of the corresponding brand with the best performance according to the obtained performance evaluation results, thereby ensuring the safe and stable operation of the power grid and the full utilization of wind energy.

[0104] In the method for assisting the performance evaluation of wind turbines proposed in the present application, the operating parameters of the same brand of wind turbines within a preset time period are obtained; the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines are obtained by calculation according to the operating parameters of the brand of wind turbines within the preset time period; the performance evaluation results of the brand of wind turbines are obtained by calculation according to the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines. It can be seen that after the present application obtains the index values ​​corresponding to multiple performance evaluation indicators of the brand of wind turbines, the performance evaluation results of the brand of wind turbines can be obtained by calculation, so that the performance of wind turbines of different brands can be objectively evaluated according to the index values ​​corresponding to multiple performance evaluation indicators, without relying on manual experience, so that the performance of wind turbines of different brands can be evaluated based on unified standards, making the performance evaluation results more objective and accurate.

[0105] Figure 2 The schematic diagram of the structure of the device for assisting wind turbine generator performance evaluation according to one embodiment of the present application is as follows: Figure 2 As shown, this may include:

[0106] The acquisition module 201 is used to acquire the operating parameters of the wind turbine generator set of the same brand within a preset time period;

[0107] The first calculation module 202 is used to obtain the index values ​​corresponding to multiple performance evaluation indexes of the brand wind generator set by calculation according to the operating parameters of the brand wind generator set within a preset time period;

[0108] The second calculation module 203 is used to obtain the performance evaluation result of the brand wind generator set by calculation according to the index values ​​corresponding to the multiple performance evaluation indexes of the brand wind generator set.

[0109] In the device for assisting the performance evaluation of wind turbines proposed in the present application, the operating parameters of the same brand of wind turbines within a preset time period are obtained; the index values ​​corresponding to the multiple performance evaluation indicators of the brand of wind turbines are obtained by calculation according to the operating parameters of the brand of wind turbines within the preset time period; the performance evaluation results of the brand of wind turbines are obtained by calculation according to the index values ​​corresponding to the multiple performance evaluation indicators of the brand of wind turbines. It can be seen from this that after the present application obtains the index values ​​corresponding to the multiple performance evaluation indicators of the brand of wind turbines, the performance evaluation results of the brand of wind turbines can be obtained by calculation, so that the performance of wind turbines of different brands can be objectively evaluated according to the index values ​​corresponding to the multiple performance evaluation indicators, without relying on manual experience, so that the performance of wind turbines of different brands can be evaluated based on unified standards, making the performance evaluation results more objective and accurate.

[0110] In order to implement the above embodiments, the present application also proposes a computer device.

[0111] The computer device provided in the embodiment of the present application includes a memory, a processor, and a computer program stored in the memory and executable on the processor; when the processor executes the program, it can achieve the following Figure 1 The method shown.

[0112] In order to implement the above embodiments, the present application also proposes a computer storage medium.

[0113] The computer storage medium provided in the embodiment of the present application stores computer executable instructions; after the computer executable instructions are executed by the processor, the following can be achieved: Figure 1 The method shown.

[0114] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0115] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0116] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for assisting wind turbine performance evaluation, characterized in that: The method comprises: Obtain the operating parameters of wind turbines of the same brand within a preset time period; According to the operating parameters of the brand wind generator set in a preset time period, the mean time between failures, major component replacement rate, wind turbine availability and power consistency coefficient of the brand wind generator set are calculated; according to the mean time between failures, major component replacement rate, wind turbine availability and power consistency coefficient, the index values ​​corresponding to the comprehensive parameters of the brand wind generator set are calculated; According to the operating parameters of the wind turbine generator set of the brand within a preset time period, the failure rate of the nacelle and tower system and the failure rate of the wind rotor system of the wind turbine generator set of the brand are obtained; according to the failure rate of the nacelle and tower system and the failure rate of the wind rotor system, the index value corresponding to the first system failure rate of the wind turbine generator set of the brand is obtained by calculation; According to the operating parameters of the wind turbine generator set of the brand within a preset time period, the failure rate of the transmission speed change system, the failure rate of the hydraulic and braking system, and the failure rate of the generator system of the wind turbine generator set of the brand are obtained; according to the failure rate of the transmission speed change system, the failure rate of the hydraulic and braking system, and the failure rate of the generator system, the index value corresponding to the failure rate of the second system of the wind turbine generator set of the brand is obtained by calculation; According to the operating parameters of the brand wind generator set within a preset time period, the failure rate of the blade adjustment system, the failure rate of the control and protection system, the failure rate of the yaw system and the failure rate of the converter system of the brand wind generator set are obtained; according to the failure rate of the blade adjustment system, the failure rate of the control and protection system, the failure rate of the yaw system and the failure rate of the converter system, the index value corresponding to the third system failure rate of the brand wind generator set is obtained by calculation; the weight coefficient corresponding to each performance evaluation index in the comprehensive parameters, the first system failure rate, the second system failure rate and the third system failure rate of the brand wind generator set is determined; Based on the weight coefficient and the index value corresponding to each performance evaluation index, the performance evaluation result of the brand of wind turbine generator set is obtained by calculation.

2. A device for assisting in the performance evaluation of a wind turbine generator set, characterized in that: The device comprises: An acquisition module is used to acquire the operating parameters of wind turbines of the same brand within a preset time period; The first calculation module is used to calculate the mean time between failures, major component replacement rate, wind turbine availability and power consistency coefficient of the wind turbine generator set according to the operating parameters of the wind turbine generator set of the brand within a preset time period; and calculate the index value corresponding to the comprehensive parameter of the wind turbine generator set of the brand according to the mean time between failures, major component replacement rate, wind turbine availability and power consistency coefficient; According to the operating parameters of the wind turbine generator set of the brand within a preset time period, the failure rate of the nacelle and tower system and the failure rate of the wind rotor system of the wind turbine generator set of the brand are obtained; according to the failure rate of the nacelle and tower system and the failure rate of the wind rotor system, the index value corresponding to the first system failure rate of the wind turbine generator set of the brand is obtained by calculation; According to the operating parameters of the wind turbine generator set of the brand within a preset time period, the failure rate of the transmission speed change system, the failure rate of the hydraulic and braking system, and the failure rate of the generator system of the wind turbine generator set of the brand are obtained; according to the failure rate of the transmission speed change system, the failure rate of the hydraulic and braking system, and the failure rate of the generator system, the index value corresponding to the failure rate of the second system of the wind turbine generator set of the brand is obtained by calculation; According to the operating parameters of the brand wind generator set within a preset time period, the failure rate of the blade adjustment system, the failure rate of the control and protection system, the failure rate of the yaw system and the failure rate of the converter system of the brand wind generator set are obtained; according to the failure rate of the blade adjustment system, the failure rate of the control and protection system, the failure rate of the yaw system and the failure rate of the converter system, the index value corresponding to the failure rate of the third system of the brand wind generator set is obtained by calculation; The second calculation module is used to determine the weight coefficient corresponding to each performance evaluation index in the comprehensive parameters of the brand of wind turbine generator set, the first system failure rate, the second system failure rate, and the third system failure rate; based on the weight coefficient and index value corresponding to each performance evaluation index, the performance evaluation result of the brand of wind turbine generator set is obtained by calculation.

3. A computer storage medium, wherein: The computer storage medium stores computer executable instructions; after the computer executable instructions are executed by the processor, the method of claim 1 can be implemented.

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