CN114320769B - Wind generating set detection method and wind generating set - Google Patents
Wind generating set detection method and wind generating set Download PDFInfo
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Abstract
The embodiment of the application discloses a detection method, detection equipment and a wind generating set, wherein the detection method comprises the steps of obtaining actual data of a first operation parameter of the wind generating set, obtaining simulation data of a second operation parameter according to the actual data of the first operation parameter, comparing the simulation data of the second operation parameter with design data of the second operation parameter to obtain a comparison result, obtaining the detection result of the wind generating set according to the comparison result, and reducing the detection cost of the wind generating set.
Description
Technical Field
The invention relates to the field of wind power generation, in particular to a detection method of a wind generating set and the wind generating set.
Background
In recent years, the utilization of renewable energy sources is increased year by year, and wind power generation is now mature renewable energy source power generation, so that the world wide attention is paid. In the wind power generation process, the wind generating set converts wind energy into mechanical energy and finally outputs electric energy.
During operation of a wind power plant, it is often necessary to detect the wind power plant. In the prior art, sensors are usually required to be deployed at various positions of the wind generating set, and actual data of operation parameters of the wind generating set in the operation process are collected to complete detection of the wind generating set, however, a large number of stacked sensors can cause an increase in cost of detection of the wind generating set. Therefore, a method for detecting a wind turbine generator is needed to reduce the cost of detecting the wind turbine generator.
Disclosure of Invention
In view of the above, the embodiment of the application provides a method for detecting a wind generating set and the wind generating set, which are used for reducing the cost of wind generating set detection.
In a first aspect, the present application provides a method for detecting a wind turbine generator system, the method comprising:
acquiring actual data of a first operation parameter of a wind generating set;
obtaining simulation data of a second operation parameter according to the actual data of the first operation parameter;
Comparing the simulation data of the second operation parameters with the design data of the second operation parameters to obtain a comparison result;
and obtaining a detection result of the wind generating set according to the comparison result.
In one possible implementation manner, the obtaining simulation data of the second operation parameter according to the actual data of the first operation parameter includes:
And taking the actual data of the first operation parameters as the input of the digital twin simulation model, and determining the output result of the digital twin simulation model as the simulation data of the second operation parameters.
In one possible embodiment, before said comparing the simulation data of the second operation parameter with the design data of the second operation parameter, further comprises:
detecting simulation data of the second operation parameters and design data of the second operation parameters according to preset detection conditions;
and if the simulation data of the second operation parameters and/or the design data of the second operation parameters do not meet the preset detection conditions, stopping detecting the wind generating set.
In one possible implementation manner, after the detection result of the wind generating set is obtained, the method further includes:
Generating a control instruction according to the detection result;
and controlling the wind generating set according to the control instruction.
In one possible implementation manner, the comparing the simulation data of the second operation parameter with the design data of the second operation parameter to obtain a comparison result includes:
extracting features of the simulation data of the second operation parameters;
and comparing the characteristic value of the simulation data of the second operation parameter with the design data of the second operation parameter to obtain the comparison result.
In one possible implementation manner, the obtaining a detection result of the wind generating set according to the comparison result includes:
And when the deviation between the characteristic value of the simulation data of the second operation parameter and the design data of the second operation parameter exceeds a first threshold value and the characteristic value of the simulation data of the second operation parameter exceeds a second threshold value, determining that the detection result is abnormal.
In one possible embodiment, after obtaining the detection result of the wind generating set, the method further includes:
and transmitting the characteristic value of the simulation data of the second operation parameter, the comparison result and the detection result to a field management system.
In a second aspect, the present application provides a detection device for a wind turbine generator system, where the detection device includes a processor and a memory, where the memory stores codes, and the processor is configured to invoke the codes stored in the memory, to implement the following functions:
acquiring actual data of a first operation parameter of a wind generating set;
obtaining simulation data of a second operation parameter according to the actual data of the first operation parameter;
Comparing the simulation data of the second operation parameters with the design data of the second operation parameters to obtain a comparison result;
and obtaining a detection result of the wind generating set according to the comparison result.
In a third aspect, the application provides a wind power generator set comprising a detection device of the wind power generator set.
In a fourth aspect, the present application provides a computer readable storage medium for storing a computer program for executing the control method of any one of the above-mentioned wind turbine generator systems.
From this, the embodiment of the application has the following beneficial effects:
In the embodiment of the application, the simulation data of the second operation parameter is obtained according to the actual data of the first operation parameter by acquiring the actual data of the first operation parameter of the wind generating set, and the detection result of the wind generating set is obtained according to the comparison result obtained by the simulation data of the second operation parameter and the design data of the second operation parameter.
Compared with the prior art, in order to obtain the data of the operation parameters of the wind generating set in the operation process, a sensor is required to be deployed at a specific position, a large number of sensors are required to be deployed for completing the detection of the wind generating set, and the stacking of the sensors leads to the increase of the detection cost. In the embodiment of the application, in order to determine whether the actual data of the second operation parameter is abnormal or not, so as to obtain the detection result of the wind generating set, the deployment of the sensor is not required to be carried out for the second operation parameter, and the simulation data of the second operation parameter is obtained through the actual data of the first operation parameter, so that the cost for detecting the wind generating set is reduced.
Drawings
FIG. 1 is a flow chart of a method for detecting a wind turbine generator set according to an embodiment of the present application;
FIG. 2 is a schematic diagram of a wind turbine generator system detection system according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for detecting a wind turbine generator system according to another embodiment of the present application;
FIG. 4 is a schematic structural diagram of a wind turbine generator system detection device according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a wind turbine generator system according to an embodiment of the present application.
Detailed Description
In order to facilitate understanding and explanation of the technical solution provided by the embodiments of the present application, technical terms in the embodiments of the present application will be described first.
The digital twin technology fully utilizes data such as a physical model, sensor updating, operation history and the like, integrates simulation processes of multiple disciplines, multiple physical quantities, multiple scales and multiple probabilities, and completes mapping in a virtual space, thereby reflecting the full life cycle process of corresponding entity equipment. Digital twinning is a beyond-the-reality concept that can be seen as a digital mapping system of one or more important, mutually dependent equipment systems. The digital twin simulation model refers to a simulation model used in digital twin technology.
In order to meet the requirements of autonomous security and diagnosis, the fault prediction and health management system (Prognostics HEALTH MANAGEMENT), abbreviated as PHM, is based on the upgrading development of a maintenance CBM (Condition-based maintenance, condition based maintenance) for status, usually emphasizes status awareness in asset equipment management, monitors the health status, fault frequent areas and periods of equipment, and predicts the occurrence of faults through data monitoring and analysis, thereby greatly improving the operation and maintenance efficiency to a certain extent.
In order to facilitate understanding of the technical scheme provided by the embodiment of the application, a method for detecting a wind turbine generator set and the wind turbine generator set provided by the embodiment of the application are described below with reference to the accompanying drawings.
While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Based on the embodiments of the present application, other embodiments that may be obtained by those skilled in the art without making any inventive contribution are within the scope of the application.
In the claims and specification of the application and in the drawings of the specification, the terms "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion.
In the prior art, in order to obtain data of operation parameters of a wind turbine generator system in an operation process, sensors are required to be deployed at specific positions, and in order to complete detection of the wind turbine generator system, a large number of sensors are required to be deployed, and stacking of the sensors results in an increase in detection cost.
Based on the above, in the embodiment of the application provided by the inventor, the actual data of the first operation parameter of the wind generating set is obtained, the simulation data of the second operation parameter is obtained according to the actual data of the first operation parameter, and the detection result of the wind generating set is obtained according to the comparison result obtained by the simulation data of the second operation parameter and the design data of the second operation parameter.
In the embodiment of the application, according to the comparison result of the simulation data of the second operation parameters and the design data of the second operation parameters, whether the actual data of the second operation parameters are abnormal or not can be determined, so that the detection result of the wind generating set is obtained. Therefore, in order to determine whether the actual data of the second operation parameter is abnormal or not, so as to obtain a detection result of the wind generating set, the deployment of the sensor for the second operation parameter is not needed, and the simulation data of the second operation parameter is obtained through the actual data of the first operation parameter, so that the cost for detecting the wind generating set is reduced.
Referring to fig. 1, fig. 1 is a flowchart of a method for detecting a wind turbine generator set according to an embodiment of the present application. As shown in fig. 1, the method for detecting a wind turbine generator system in the embodiment of the application includes the following steps:
s101, acquiring actual data of a first operation parameter of the wind generating set.
In S101, the first operation parameter of the wind turbine generator system refers to a parameter of the wind turbine generator system used to represent an operation state of the wind turbine generator system during operation, and the actual parameter refers to actual data corresponding to the parameter of the wind turbine generator system during operation.
S102, according to the actual data of the first operation parameters, simulation data of the second operation parameters are obtained.
In S101, the second operation parameter is different from the first operation parameter, the simulation data of the second operation parameter is obtained according to the actual data of the first operation parameter, the simulation data refers to data obtained through a certain simulation means, for example, the simulation data of the second operation parameter can be obtained through a simulation model, the actual data of the first operation parameter is used as input of the simulation model, the simulation data of the second operation parameter is output of the simulation model, and the simulation data of the second operation parameter is represented to a certain extent as a numerical value of the second operation parameter when the wind generating set is in an operation state represented by the actual data of the first operation parameter.
S103, comparing the simulation data of the second operation parameters with the design data of the second operation parameters to obtain a comparison result.
S104, according to the comparison result, a detection result of the wind generating set is obtained.
In S103-S104, the design data of the second operating parameter, to some extent, represent an allowable operating boundary of the second operating parameter of the wind park, e.g. the design data generally refers to an operating boundary or an allowable upper/lower limit of the park operating data, such as an allowable load limit, or an allowable fatigue load, an allowable minimum headroom, an allowable maximum cabin acceleration, etc. The simulation data of the second operation parameter to a certain extent represent the value of the second operation parameter when the wind generating set is in the operation state represented by the actual data of the first operation parameter. The comparison process in S103 can obtain the difference between the simulation data and the design data of the second operation parameter, that is, the difference between the numerical value and the design value of the second operation parameter when the wind turbine generator is in the operation state represented by the actual data of the first operation parameter, so as to indicate whether the wind turbine generator is in the normal operation state, thereby obtaining the detection result of the wind turbine generator without using the sensor to detect the second operation parameter, and reducing the cost of detecting the wind turbine generator. Since the first operation parameter and the second operation parameter are used to represent the operation state of the wind power generation set, the obtained detection result of the set may include a detection result of the operation state of the set.
Further, in an embodiment of the application, the second operating parameter may comprise a parameter of a component where the sensor is not deployed. In the prior art, sensors are deployed on a component, data of parameters of the component are acquired through the deployed sensors in the running process of the unit, and the running state of the unit is detected according to the acquired data. Therefore, for the components where the sensor is not deployed, for example, the sensor is difficult to deploy due to the position of the components, is limited by cost and is not deployed, and the data of the parameters of the components are difficult to obtain, and the related operation state cannot be detected.
Further, in the embodiment S101 of the present application, acquiring the actual data of the first operation parameter of the wind turbine generator system may include acquiring the actual data of the first operation parameter of the wind turbine generator system in real time. Because the actual data of the first operation parameters are obtained in real time, the simulation data of the second operation parameters are obtained through a certain simulation means, the comparison result is obtained, and the detection result is obtained according to the comparison result, the real-time detection of the wind turbine generator system to a certain extent can be realized, and the service response to the abnormality of the wind turbine generator system is faster.
Further, in the embodiment of the application, the simulation data of the second operation parameter is obtained according to the actual data of the first operation parameter, and the method can comprise the steps of taking the actual data of the first operation parameter as the input of a digital twin simulation model, and determining the output result of the digital twin simulation model as the simulation data of the second operation parameter.
The digital twin simulation model is a simulation model applied in the digital twin technology, and can obtain output which is more in line with the input condition of the model according to the input of the model, and the simulation model is constructed in advance.
The actual data of the first operation parameters are input into a digital twin simulation model, and the output of the model can represent the data of the second operation parameters of the unit under the operation state corresponding to the actual data of the first operation parameters. Obtaining data of the second operating parameter through the digital twin simulation model, rather than obtaining data of the second operating parameter through sensor detection, can be due to costs incurred by deploying the sensor. Further, in the practical application process, multiple types of digital twin simulation models can be used, the multiple types of digital twin simulation models can be combined at will, and all the digital twin simulation models run independently of each other to obtain respective simulation data.
Further, in the embodiment of the application, before comparing the simulation data of the second operation parameter with the design data of the second operation parameter, the method further comprises the steps of detecting the simulation data of the second operation parameter and the design data of the second operation parameter according to preset detection conditions, and stopping detecting the wind generating set if the simulation data of the second operation parameter and/or the design data of the second operation parameter do not meet the preset detection conditions.
In the practical application process, the simulation data and the design data of the second operation parameter may not meet the expectations or be wrong, which may lead to inaccuracy of the finally obtained detection result. Therefore, the detection conditions are preset for detecting the simulation data and the design data of the second operation parameter, and when at least one of the data does not meet the preset conditions, the detection process is stopped.
For preset detection conditions, the embodiments of the present application provide several specific implementations.
And (3) checking the running state of the simulation model under the condition I, and stopping the detection process if the abnormal state is not satisfied with the preset detection condition. The simulation data of the second operation parameter obtained by the simulation model is one of parameter data for obtaining a detection result, and the abnormal operation state of the simulation model may cause inaccuracy of the detection result, so that the condition may be preset and related to the operation state of the simulation model. Further, when the simulation model is a digital twin simulation model, the detection process is stopped when the condition is that the running state of the digital twin simulation model is checked and the state abnormality is that the preset detection condition is not met.
And (3) screening abnormal values of the simulation data of the second operation parameters and the design data of the second operation parameters, and stopping the detection process if the abnormal values do not meet the preset detection conditions. The abnormal value refers to a value which is obviously different from other data, and the existence of the abnormal value can cause inaccuracy of a detection result, so that conditions and the abnormal value can be preset to be related, furthermore, when the simulation data and/or the design data of the second operation parameter are abnormal, abnormal values can be removed, and after the abnormal values are removed, the detection process can be continued, so that the utilization rate of the data is improved.
And thirdly, screening the fan state, and stopping the detection process if the fan state is the data corresponding to the non-operation state in the simulation data of the second operation parameters and/or the design data of the second operation parameters, and the detection condition is determined to not be met. The data collected is usually data in a certain time period, and if the data is not the data corresponding to the fan operating state in the time period, the data is used to represent the operating state of the wind generating set in the time period, which may be inaccurate. Thus, the data preferably uses data that the corresponding fan is in operation for the complete time period. Further, in order to determine whether the data in the complete period is the data in the running state of the fan, a data integrity tag can be generated, if the data with poor integrity exists, the data is determined to not meet the preset detection condition, and the detection process is stopped.
And fourthly, detecting the sensor null shift phenomenon, if the sensor null shift phenomenon exists, determining that the preset detection condition is not met, and stopping determining the running state of the wind generating set. When no signal is input, the theoretical output value of the sensor is zero, and the sensor zero drift phenomenon refers to a phenomenon that when no signal is input, the output value of the sensor is not zero, and the sensor zero drift phenomenon usually causes inaccurate data obtained by detection. Further, after the sensor null shift phenomenon is detected, the null shift of the sensor data can be removed, and the detection result is obtained by using the data after the null shift removal, so that the advantage of improving the utilization rate of the data is achieved.
The preset detection conditions may be at least one of the first to fourth conditions, and the specific implementation of the preset detection conditions is only a specific description of the embodiment of the present application and is not a limitation of the embodiment of the present application, and it is understood how to preset the detection conditions without affecting the implementation of the embodiment of the present application.
Further, for the embodiment S104 of the present application, after the detection result of the wind turbine generator set is obtained, the method may further include generating a control instruction according to the detection result, and controlling the wind turbine generator set according to the control instruction.
The purpose of detecting the wind generating set mainly comprises that when the wind generating set is detected to be abnormal in the operation process, the wind generating set is correspondingly controlled according to the abnormality, so that adverse effects caused by the abnormality are reduced. Because the control instruction is generated according to the detection result, the control instruction is related to the process of correspondingly controlling the unit according to the abnormality. Further, because adverse effects may occur to the generator set if the generator set is still in an operating state after the occurrence of the abnormality, the instruction may be a shutdown instruction for controlling the shutdown of the wind turbine set, the control instruction may also be an instruction for limiting power/limiting a pitch angle/limiting a rotational speed, or an instruction for optimizing parameters, early warning, etc., and further, the control instruction may be automatically generated when the abnormality occurs.
Further, controlling the wind generating set according to the control instruction may include sending the control instruction to a control device of the wind generating set, so that the control device controls the wind generating set according to the control instruction. Further, the control device of the wind generating set may include a PLC for controlling the set, so as to control the set according to the detection result. The condition that manual intervention is needed is controlled in the traditional detection method is changed to a certain extent.
Further, comparing the simulation data of the second operation parameter with the design data of the second operation parameter to obtain a comparison result may include performing feature extraction on the simulation data of the second operation parameter, and comparing the feature value of the simulation data of the second operation parameter with the design data of the second operation parameter to obtain the comparison result. The characteristic value can be extracted from the data, and the result is obtained by operating the characteristic value of the data, so that the operating efficiency is improved. Further, the characteristic values may include standard deviation, mean, maximum, minimum, etc.
Further, in the embodiment S104 of the present application, obtaining a detection result of the wind turbine generator system according to the comparison result may include determining that the detection result is abnormal when a deviation between a characteristic value of the simulation data of the second operation parameter and the design data of the second operation parameter exceeds a first threshold value and the characteristic value of the simulation data of the second operation parameter exceeds a second threshold value.
The simulation data of the second operation parameters are obtained through a certain simulation means and are used for being compared with the design data, the comparison result is used for determining the detection result, when the simulation data are too small, the multiple of the phase difference between the simulation data and the design data is larger, so that a conclusion that the simulation data deviate from the design data to be larger can be obtained, the final detection result can be influenced by the smaller simulation data, and the detection accuracy is reduced. Therefore, when the detection result is determined according to the deviation between the simulation data and the design data of the second operation parameter, the characteristic value of the simulation data exceeding the second threshold value is set as the condition that needs to be satisfied at the same time, so as to improve the accuracy of the detection.
Further, in the embodiment S104 of the present application, the obtaining a detection result of the wind turbine generator system according to the comparison result may include determining a risk level according to the deviation when the deviation between the characteristic value of the simulation data of the second operation parameter and the design data of the second operation parameter exceeds a first threshold value and the characteristic value of the simulation data of the second operation parameter exceeds a second threshold value, and determining that the detection result is abnormal when the risk level exceeds a preset level. The risk level is set for a clearer determination of the operational state of the wind power plant.
Further, for the embodiment S104 of the present application, after the detection result of the wind generating set is obtained, the method may further include uploading the feature value of the simulation data of the second operation parameter, the comparison result, and the detection result to a wind farm management system.
The wind farm management system refers to a management system for managing a wind turbine generator set. Because the data generated by the wind generating set in the operation process is larger, the data are usually collected in a certain time period, communication anomalies such as network interruption and the like can influence the transmission of key data, and the data quantity of the wind generating set which needs to be transmitted is reduced as much as possible in the transmission process, so that the parameter data are transmitted in the form of characteristic values, but not all the data, the data quantity for transmission is reduced, and the data loss can be reduced to a certain extent. Further, the wind farm management system may be a PHM, transmitting data to the PHM for providing characteristic data of the operation of the unit for failure prediction and health management of the wind farm. Compared with the prior art, the method and the device for transmitting the data of the operation parameters to the wind power plant (plant PHM) through the fan PLC are common, the data transmitted are in the form of characteristic values, the transmitted data quantity can be reduced, and abundant unit operation characteristic data are provided for wind power plant fault test/prediction and health management through the transmission of the operation characteristic values to the wind power plant PHM.
Further, the data transmitted to the PHM can be further uploaded to the cloud to form operation characteristic data of the wind generating set at the cloud, so that a data sample can be provided for big data diagnosis and model training, and further, according to the description of the embodiment of the application, the data for uploading to the cloud can further comprise risk grades, data integrity labels and the like.
Further, in the embodiment S101 of the present application, when the actual data of the first operation parameter is acquired, a control instruction may also be obtained, which is used to trigger the operation of the simulation model.
Further, embodiments S101-S104 of the present application may be performed by an auxiliary control device deployed on a wind turbine. The method comprises the steps of communicating with a PLC, enabling auxiliary control equipment to obtain actual data of a first operation parameter of a wind generating set, operating a simulation model on the auxiliary control equipment, enabling the auxiliary control equipment to obtain simulation data of a second operation parameter according to the actual data of the first operation parameter, enabling the auxiliary control equipment to compare the simulation data of the second operation parameter with design data of the second operation parameter to obtain a comparison result, enabling the auxiliary control equipment to obtain a detection result of the wind generating set according to the comparison result, enabling the auxiliary control equipment to obtain a control instruction according to the detection result, sending the instruction to the PLC of the unit control equipment, enabling the PLC to control the unit, enabling the data and the result obtained in the detection process to be transmitted to a PHM of a wind field, and enabling the PHM to further push characteristic data to a cloud.
The method is characterized in that an auxiliary control device capable of integrating calculation and application is arranged near a PLC side of a wind power generation set, the auxiliary control device integrating calculation and application is adopted, a set auxiliary diagnosis and control framework of edge calculation is adopted, digital twin set detection service is provided near the end of the set PLC, a faster service response can be generated for set test, requirements of the wind power plant set in terms of instantaneity, intellectualization, network safety and the like are met, meanwhile, the deployment of a traditional sensor can be reduced to a certain extent through a digital twin method, the cost of set detection is reduced, the current situation of diagnosis and analysis at concentrated nodes such as a cloud end and a wind power plant is improved to a certain extent, the auxiliary diagnosis based on actual data can be more reliably performed at the edge side of the wind power plant PLC and the like, and the set auxiliary device is connected with the PLC and the PHM of the wind power plant.
The data communicated by the auxiliary control device and the PLC can be data with a certain time period (for example, 20 ms), namely, the actual data of the first operation parameter can be data continuously collected in a certain time period, the data can be collected by a sensor on the PLC and then put into a database or other data file storage position, the auxiliary control device can also be provided with a detector for collecting the data when being used by the auxiliary control system, and the simulation data obtained by the simulation model can also exist in the database or other data file storage position when the auxiliary control device runs the simulation model.
Further, for obtaining the simulation data of the second operation parameter through the simulation model, the simulation model may be triggered at a certain interval, for example, the simulation model is triggered at a first interval, after the triggering, the data (the data of the first operation parameter) in a certain time period (for example, the first time period) is obtained, and the data in the whole time period may be obtained, for example, the first time period is 1min, for example, the whole time period is 9 minutes, 0 seconds to 10 minutes, 0 seconds, so as to facilitate the recording and analysis of the data.
The simulation data and the design data of the second operation parameters are compared to obtain a comparison result, a detection result can be determined according to the comparison result, and the detection result can be completed through a model, such as a unit detection model, further, the unit detection model can be triggered at a certain interval, such as a second interval time, after the triggering, data (the simulation data and the design data of the second operation parameters) in a certain time period (such as a second time period) can be obtained, and the data in the whole time period can be obtained.
Because the simulation data is obtained through the simulation model, a certain time is required, and therefore, a certain limiting condition exists between the triggering time of the simulation model and the trigger time of the unit detection model, namely, for the unit detection model, in order to obtain a detection result by utilizing the data in the second time period, the simulation data in the second time period is required to be obtained through the simulation model, and then the analysis of the data is required. Therefore, in the case where the obtained actual data of the first operation parameter and the obtained simulation data are both placed in the database, the data read for the unit detection model need to satisfy the above-described constraint.
Furthermore, the embodiment S101-S104 of the application can be realized by utilizing an industrial personal computer and a plurality of PLCs, and the modules for realizing the model can be directly integrated on the PLCs, so that the corresponding functions can be completed by the PLCs.
Further, in the embodiment of the present application, the first operation parameter and the second operation parameter refer to parameters used to represent an operation state of the unit during an operation process of the unit. The embodiment of the application provides an example for the type of the second operation parameter, for example, the second operation parameter can be the unit clearance, on the unit without the clearance measurement equipment, the embodiment of the application obtains the simulation data of the unit clearance through a digital twin simulation model, compares the simulation data of the unit clearance with the design data, can detect the abnormal clearance problem, is difficult to deploy a load sensor or maintain the middle part of the blade in general, the second operation parameter can be the unit load of the middle part of the blade, the embodiment of the application obtains the simulation data of the unit load of the middle part of the blade through the digital twin simulation model, compares the simulation data of the unit load of the middle part of the blade with the design data, can detect the abnormal load problem, and the second operation parameter can also be other parameters. The above second operation parameters are merely examples provided in the embodiments of the present application, and the types and kinds of parameters specifically included in the second operation parameters do not affect the implementation of the embodiments of the present application.
Further, in the embodiment S102 of the present application, in order to obtain simulation data of the second operation parameter, a certain simulation means is adopted, where the simulation means may be a simulation based on a laser radar wind speed, a simulation based on a blade root load, a simulation based on a nacelle wind speed, a simulation based on a tower load, and the like. The simulation means are only examples provided by the embodiment of the application, and the specific types and kinds of the simulation means do not influence the implementation of the embodiment of the application.
The embodiment of the application provides two specific implementation modes.
The method for detecting the wind generating set is used for determining the detection result of the set according to the tower bottom load.
The simulation model for generating simulation data of the second operation parameter is a digital twin simulation model, and the actual data wind speed data of the first operation parameter is input into the digital twin simulation model;
generating simulation data of the tower bottom load by using a digital twin simulation model;
Detecting according to preset detection conditions, namely checking the state of the digital twin simulation model, and stopping the flow if abnormal, detecting and processing simulation data of the tower bottom load according to preset detection conditions, namely eliminating abnormal values, generating an integrity label according to the state of a fan and screening;
the method comprises the steps of extracting characteristic values of tower bottom load simulation data, comparing the absolute value extremum of design data and simulation data of the tower bottom load to obtain the absolute value extremum deviation of the tower bottom load, wherein the characteristic values are absolute value extremum;
Dividing the tower bottom load absolute value extremum according to the wind speed, calculating a load average value in a dividing bin, comparing the design values of the load average value in the dividing bin and the load average value in the dividing bin to obtain a tower bottom dividing bin average value deviation, extracting the comparison result of the absolute value of the simulation data of the tower bottom load and the second threshold value within 10min, wherein the comparison result can be expressed as the number that the absolute value of the simulation data of the bottom load is larger than the second threshold value, and the percentage of the absolute value of the simulation data of the bottom load is occupied and recorded as the simulation deviation duty ratio;
Generating a risk level, namely generating a tower bottom load risk level 1 when the tower bottom load absolute value extreme value deviation is larger than a first extreme value threshold value (the instantaneous load absolute value extreme value is larger than a duty ratio threshold value), generating a tower bottom load risk level 2 when the tower bottom sub-bin mean value deviation is larger than a first mean value threshold value (at least one identical sub-bin load extreme value mean value is larger than the first mean value threshold value), and generating a tower bottom load risk level 3 when the simulation deviation duty ratio is larger than the duty ratio threshold value (the instantaneous load absolute value is larger than the duty ratio threshold value within 10 min);
Generating and sending a shutdown control instruction to the PLC when the tower bottom load risk level 3 is generated within 10min so as to shutdown the PLC control unit;
And transmitting the transmission data integrity label, the bottom load absolute value extremum deviation, the bottom load risk level and other operation characteristics to the field PHM.
The method for detecting the wind generating set is used for determining the detection result of the set according to the clearance.
The simulation model for generating simulation data of the second operation parameter is a digital twin simulation model, and the actual data wind speed data of the first operation parameter is input into the digital twin simulation model;
Generating the simulation data of the headroom by using a digital twin simulation model;
Detecting according to preset detection conditions, namely checking the state of the digital twin simulation model, and stopping the flow if the state is abnormal;
extracting the characteristic value of the simulation data of the clearance, wherein the characteristic value is the minimum value;
Comparing the clearance deviation with a first threshold value, and generating a clearance risk level when the clearance deviation exceeds the first threshold value;
When the clearance risk level exceeds a preset level, generating and sending a shutdown control instruction to the PLC so as to shutdown the PLC control unit;
the transmission data integrity label, the minimum value of the simulation data of the clearance, the clearance deviation, the clearance risk level and other operation characteristics are transmitted to the field PHM.
Third, the method for detecting the wind generating set according to the embodiment of the application is used for determining the detection result of the set according to the cabin displacement.
The simulation model for generating simulation data of the second operation parameter is a digital twin simulation model, and the actual data wind speed data of the first operation parameter is input into the digital twin simulation model;
generating simulation data of cabin displacement by using a digital twin simulation model;
Detecting according to preset detection conditions, namely checking the state of the digital twin simulation model, and stopping the flow if abnormal, detecting and processing simulation data of cabin displacement according to preset detection conditions, namely removing abnormal values, generating an integrity label according to the state of a fan, and screening;
Extracting the characteristic value of the simulation data of the cabin displacement, wherein the characteristic value is the maximum value, comparing the maximum value of the design data and the simulation data of the cabin displacement, and obtaining the cabin displacement deviation;
comparing the cabin displacement deviation with a first threshold value, and generating a cabin displacement risk level when the cabin displacement deviation exceeds the first threshold value;
when the cabin displacement risk level exceeds a preset level, generating and sending a shutdown control instruction to the PLC so as to shutdown the PLC control unit;
and transmitting the transmission data integrity label, the minimum value of the simulation data of the cabin displacement, the cabin displacement deviation, the cabin displacement risk level and other operation characteristics to the field PHM.
In the three implementations, the simulation data generated by using the digital twin simulation model and the obtained actual data can be placed in the database.
It should be understood that the above three implementations are examples of embodiments of the present application, and the specific types and numbers of parameters are not limiting of the embodiments of the present application.
Referring to fig. 2, fig. 2 is a schematic structural diagram of a wind turbine generator system detection system according to an embodiment of the present application, where the system uses the method for detecting a wind turbine generator system according to the embodiment of the present application shown in fig. 1, and the system 200 includes a wind turbine generator system 201, an auxiliary control device 202, a control device PLC203, and a PHM.
The auxiliary control device 202 is used for implementing the detection methods S101-S104 for the wind generating set provided in the embodiment of the present application in fig. 1, and the control device PLC203 is used for controlling the set 201;
the auxiliary control device 202 is deployed on the unit 201, transmits 20ms data with the PLC203 through communication, runs a digital twin simulation model, compares simulation results with actual running results of the unit 201, namely compares simulation data and actual data of comparison parameters, and is used for determining the running state of the unit 201, the auxiliary control device 202 transmits generated control instructions and obtained state information to the PLC203, a data diagnosis result is transmitted to the PHM 204 of the wind power plant, and the PHM 204 can further push the transmission characteristic data to the cloud.
Referring to fig. 3, fig. 3 is a flowchart of a method for detecting a wind turbine generator set according to another embodiment of the present application, where the method for detecting a wind turbine generator set according to the embodiment of the present application includes steps shown in fig. 3.
The actual data of the unit is the actual data of the unit parameters, and can comprise the data of the unit parameters such as laser radar wind speed, blade root load, cabin wind speed, tower load and the like. These data, unit control instructions (PLC control instructions), and (other) unit states are transmitted to an auxiliary control device (auxiliary control device for short), and used as an input of auxiliary control digital twin, to complete parameter-based simulation, and obtain simulation data.
The parameter-based simulation may include a simulation based on lidar wind speed, blade root load, nacelle wind speed, and tower load, enabling simulation under multiple types of inputs.
After the obtained digital twin simulation unit state (represented by simulation data) is subjected to feature extraction, an auxiliary control abnormality detection model for wind generating set detection is input in the form of a feature value, the simulation data and the design data are compared to complete verification based on the digital twin simulation state, and model parameters may also need to be input in the operation process of the auxiliary control abnormality detection model.
And returning the obtained state verification auxiliary control instruction to a machine set (PCL) for controlling the machine set, and transmitting the obtained risk level, data record and the like to a field PHM for providing the characteristic data of the operation of the machine set for the fault prediction and health management of the wind power plant, wherein the data record can comprise actual measurement and simulation characteristic data, risk triggering moment instantaneous data and the like.
The data transmitted to the PHM can be further uploaded to the cloud, operation characteristic data of the wind generating set are formed in the cloud, and data samples can be provided for big data diagnosis and model training.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a detection device of a wind generating set according to an embodiment of the present application, where the detection device 400 includes a processor 401 and a memory 402, where the memory 402 stores corresponding codes, and the processor 401 is configured to invoke the codes stored in the memory 402 to implement the following functions:
acquiring actual data of a first operation parameter of a wind generating set;
obtaining simulation data of a second operation parameter according to the actual data of the first operation parameter;
Comparing the simulation data of the second operation parameters with the design data of the second operation parameters to obtain a comparison result;
and obtaining a detection result of the wind generating set according to the comparison result.
The units included in the electronic device and the connection relationship between the units can achieve the same technical effects as the method for determining the operation state of the force generating set, and in order to avoid repetition, the description is omitted.
Referring to fig. 5, fig. 5 is a schematic diagram of a wind turbine generator system according to an embodiment of the present application, where the wind turbine generator system includes a detection device of the wind turbine generator system according to an embodiment of the present application corresponding to fig. 4.
The units and the connection relations among the units included in the wind generating set can achieve the same technical effects as the method for determining the running state of the force generating set, and in order to avoid repetition, the description is omitted.
In an embodiment of the present application, a computer readable storage medium is further provided, where the computer readable storage medium is used to store a computer program, where the computer program is used to execute the method for detecting a wind turbine generator set, and the same technical effects can be achieved, and for avoiding repetition, a detailed description is omitted herein. The computer readable storage medium is, for example, a Read-Only Memory (ROM), a random access Memory (Random Access Memory RAM), a magnetic disk or an optical disk. The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present application. 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 application. Thus, the present application 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 (9)
1. A method of detecting a wind turbine generator system, the method comprising:
acquiring actual data of a first operation parameter of a wind generating set;
according to the actual data of the first operation parameters, simulation data of second operation parameters are obtained, wherein the second operation parameters comprise parameters capable of acquiring data through a sensor;
Comparing the simulation data of the second operation parameters with the design data of the second operation parameters to obtain a comparison result;
obtaining a detection result of the wind generating set according to the comparison result;
before the comparing the simulation data of the second operation parameter and the design data of the second operation parameter, the method further comprises:
detecting simulation data of the second operation parameters and design data of the second operation parameters according to preset detection conditions;
and if the simulation data of the second operation parameters and/or the design data of the second operation parameters do not meet the preset detection conditions, stopping detecting the wind generating set.
2. The method according to claim 1, wherein the obtaining simulation data of the second operation parameter according to the actual data of the first operation parameter includes:
And taking the actual data of the first operation parameters as the input of the digital twin simulation model, and determining the output result of the digital twin simulation model as the simulation data of the second operation parameters.
3. The method according to claim 1, further comprising, after the obtaining the detection result of the wind turbine generator set:
Generating a control instruction according to the detection result;
and controlling the wind generating set according to the control instruction.
4. The method according to claim 1, wherein the comparing the simulation data of the second operation parameter with the design data of the second operation parameter to obtain a comparison result includes:
extracting features of the simulation data of the second operation parameters;
and comparing the characteristic value of the simulation data of the second operation parameter with the design data of the second operation parameter to obtain the comparison result.
5. The method according to claim 4, wherein the step of obtaining the detection result of the wind turbine generator set according to the comparison result includes:
And when the deviation between the characteristic value of the simulation data of the second operation parameter and the design data of the second operation parameter exceeds a first threshold value and the characteristic value of the simulation data of the second operation parameter exceeds a second threshold value, determining that the detection result is abnormal.
6. The method according to claim 4, further comprising, after obtaining the detection result of the wind turbine generator set:
And transmitting the characteristic value of the simulation data of the second operation parameter, the comparison result and the detection result to a wind power generation field management system.
7. The detection equipment of the wind generating set is characterized by comprising a processor and a memory, wherein the memory stores codes, and the processor is used for calling the codes stored in the memory to realize the following functions:
acquiring actual data of a first operation parameter of a wind generating set;
according to the actual data of the first operation parameters, simulation data of second operation parameters are obtained, wherein the second operation parameters comprise parameters capable of acquiring data through a sensor;
Comparing the simulation data of the second operation parameters with the design data of the second operation parameters to obtain a comparison result;
obtaining a detection result of the wind generating set according to the comparison result;
before the comparing the simulation data of the second operation parameter and the design data of the second operation parameter, the processor is further configured to invoke the code stored in the memory to implement the following functions:
detecting simulation data of the second operation parameters and design data of the second operation parameters according to preset detection conditions;
and if the simulation data of the second operation parameters and/or the design data of the second operation parameters do not meet the preset detection conditions, stopping detecting the wind generating set.
8. A wind power plant, characterized in that it comprises a detection device of a wind power plant according to claim 7.
9. A computer readable storage medium for storing a computer program for executing the method of detecting a wind power plant according to any one of claims 1 to 6.
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