Operation test verification method and system of wind turbine generator master control device and storage medium

Abstract

The invention provides an operation test verification method and system of a wind turbine generator main control device and a storage medium, and relates to the technical field of wind turbine generator testing, and the method comprises the steps: constructing a test simulation model comprising a working condition simulation module, a fault simulation module and a test recording module; the working condition simulation module simulates the working state of the wind turbine generator according to the preset wind condition parameters; performing fault simulation through a fault simulation module according to the equipment state data, the communication data and the power grid data of the main control device; performing test data monitoring and recording on the physical structure and the working parameters of the wind turbine generator master control device through a test recording module to obtain test record data; and performing state analysis and evaluation on the test record data to generate a test result. The technical problem that the performance of the main control device cannot be effectively evaluated due to the lack of comprehensive performance test in the actual operation process of the main control device in the prior art is solved, and the comprehensiveness and accuracy of performance verification of the main control device are improved.

Description

Technical Field

[0001] This application relates to the technical field of wind turbine testing, and particularly to an operation test and verification method, system, and storage medium for the main control device of a wind turbine. Background Art

[0002] As the core control system of a wind power system, the main control device of an offshore wind turbine is responsible for monitoring and adjusting the operating state of the wind turbine, and its performance directly affects the stability and safety of the entire offshore wind turbine.

[0003] Common performance tests of the main control device of offshore wind turbines include basic laboratory environment tests of wind turbines, simulation tests under some working conditions, and monitoring and analysis of the equipment operation through on-site data. These methods mainly rely on laboratory tests and verification with a small amount of actual operation data. However, the operating environment of offshore wind farms is harsh and widely distributed. Laboratory tests usually cannot simulate the real working state of wind turbines in complex offshore environments, especially when facing extreme weather and fault situations, and cannot comprehensively evaluate the emergency response ability and stability of the main control device; while the test and verification method based on a small amount of actual operation data ignores the working conditions intertwined with various factors such as variable wind speed, temperature change, and grid fluctuation, resulting in insufficient accuracy and comprehensiveness of the evaluation results. These deficiencies make the existing performance test methods unable to effectively guarantee the reliability and stability of the main control device of wind turbines in long-term and large-scale offshore wind farms. Summary of the Invention

[0004] This application provides an operation test and verification method, system, and storage medium for the main control device of a wind turbine, solving the technical problem that the prior art lacks comprehensive performance tests during the actual operation process of the main control device of a wind turbine and cannot effectively evaluate the performance of the main control device of a wind turbine, resulting in insufficient accuracy and comprehensiveness of the evaluation results, and achieving the technical effect of improving the comprehensiveness and accuracy of the performance verification of the main control device of a wind turbine, and further improving the operation reliability and stability of the main control device of a wind turbine.

[0005] In view of the above problems, on the one hand, the present application provides a method for running test and verification of a main control device of a wind turbine, and the method includes: collecting the physical structure and working parameters of the main control device of the wind turbine, and constructing a test simulation model through a simulation tool, where the test simulation model is built-in with a working condition simulation module, a fault simulation module and a test record module; obtaining module function activation information, where the module function activation information is used to activate the working condition simulation module and / or the fault simulation module, and wherein, through the working condition simulation module, the working state of the wind turbine is simulated according to preset wind condition parameters, and the preset wind condition parameters include cut-in wind speed, cut-out wind speed and typhoon working condition parameters; through the fault simulation module, faults are simulated according to the device state data, communication data and grid data of the main control device; under the simulation of the working condition simulation module and / or the fault simulation module, through the test record module, the physical structure and working parameters of the main control device of the wind turbine are monitored and recorded for test data to obtain test record data; and the test record data is subjected to state analysis and evaluation of the main control device of the wind turbine to generate a test result.

[0006] On the other hand, the present application also provides a system for running test and verification of a main control device of a wind turbine, and the system includes: a simulation model construction unit, configured to collect the physical structure and working parameters of the main control device of the wind turbine, and construct a test simulation model through a simulation tool, where the test simulation model is built-in with a working condition simulation module, a fault simulation module and a test record module; a simulation test unit, configured to obtain module function activation information, where the module function activation information is used to activate the working condition simulation module and / or the fault simulation module, and wherein, through the working condition simulation module, the working state of the wind turbine is simulated according to preset wind condition parameters, and the preset wind condition parameters include cut-in wind speed, cut-out wind speed and typhoon working condition parameters; through the fault simulation module, faults are simulated according to the device state data, communication data and grid data of the main control device; a test record unit, configured to, under the simulation of the working condition simulation module and / or the fault simulation module, through the test record module, monitor and record the physical structure and working parameters of the main control device of the wind turbine for test data to obtain test record data; and a state analysis and evaluation unit, configured to perform state analysis and evaluation of the main control device of the wind turbine on the test record data to generate a test result.

[0007] In the third aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps in the above method for running test and verification of the main control device of the wind turbine are implemented.

[0008] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0009] By collecting the physical structure and operating parameters of the main control device, accurate input data is provided for constructing the simulation model. These data are crucial for simulating the real operating environment and the behavior of the main control device, ensuring the accuracy and reliability of the simulation model. The test simulation model can simulate the operating states of the wind turbine under different working conditions and faults through the built-in working condition simulation module, fault simulation module, and test recording module. This modular design makes the test more flexible and comprehensive, capable of covering a variety of complex scenarios. After activating the working condition simulation module and the fault simulation module, simulations can be carried out according to the preset wind condition parameters and the device status, communication data, and grid data of the main control device, making the test closer to the actual operating environment and enabling a comprehensive evaluation of the performance of the main control device under various extreme conditions. Through the test recording module, the changes in the physical structure and operating parameters of the main control device during the simulation process are monitored and recorded in real time, providing detailed operating information for subsequent analysis and evaluation. By analyzing the test recording data, the performance of the main control device is quantified, and the status evaluation and test results of the main control device are generated, providing a basis for optimizing and improving the design.

[0010] In summary, through the simulation model and modular design, this application can more flexibly and efficiently simulate complex operating environments, making up for the deficiencies of existing test methods in the actual application tests of large-scale offshore wind farms; through data-driven state analysis and evaluation, it can more accurately evaluate the reliability and stability of the main control device, thereby providing strong support for the design, optimization, operation, and maintenance of wind turbines. This not only improves the comprehensiveness and accuracy of the performance verification of the main control device but also enhances the operating stability and reliability of the main control device of wind turbines under various complex working conditions.

[0011] The above description is only an overview of the technical solution of this application. In order to be able to more clearly understand the technical means of this application, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features, and advantages of this application more obvious and understandable, the specific embodiments of this application are specifically given below. Brief Description of the Drawings

[0012] Figure 1 It is a schematic flow chart of the operation test verification method for the main control device of the wind turbine provided by the embodiment of this application.

[0013] Figure 2 It is a schematic diagram of the active power setting curve in the operation test verification method for the main control device of the wind turbine provided by the embodiment of this application.

[0014] Figure 3 It is a schematic diagram of the reactive power setting curve in the operation test verification method for the main control device of the wind turbine provided by the embodiment of this application.

[0015] Figure 4It is a schematic structural diagram of an operation test and verification system for a main control device of a wind turbine provided by an embodiment of the present application.

[0016] Explanation of reference numerals in the drawings: Simulation model construction unit 10, simulation test unit 20, test record unit 30, state analysis and evaluation unit 40. Specific implementation mode

[0017] By providing an operation test and verification method, system and storage medium for the main control device of a wind turbine, the embodiment of the present application solves the technical problem that the prior art lacks a comprehensive performance test during the actual operation of the main control device of the wind turbine and cannot effectively evaluate the performance of the main control device of the wind turbine, resulting in insufficient accuracy and comprehensiveness of the evaluation results, and achieves the technical effects of improving the comprehensiveness and accuracy of the performance verification of the main control device of the wind turbine, and further improving the reliability and stability of the main control device of the wind turbine.

[0018] Embodiment 1, as Figure 1 shown, the embodiment of the present application provides an operation test and verification method for the main control device of a wind turbine, and the method includes:

[0019] Step S1: Collect the physical structure and working parameters of the main control device of the wind turbine, and construct a test simulation model through a simulation tool. The test simulation model is built-in with a working condition simulation module, a fault simulation module, and a test record module.

[0020] Specifically, the main control device of the wind turbine is the core control system of the wind turbine, which is responsible for monitoring and adjusting the operating state of the wind turbine to ensure the stable and efficient operation of the wind turbine. It usually includes sensors, actuators, and control algorithms. Collect the physical structure and working parameters of the main control device of the wind turbine. Among them, the physical structure refers to the hardware composition of the main control device of the wind turbine, including various sensors, electronic control units, communication modules, external connection ports, etc. Detailed structure information can be obtained from the design documents of the main control device of the wind turbine; the working parameters refer to the key indicators that affect the operation of the wind turbine, such as wind speed, wind direction, voltage, current, temperature, etc. These parameters directly affect the judgment and control of the main control device and can be collected through sensors and / or remote monitoring devices.

[0021] Collect the physical structure and working parameters of the main control device, and input these data into a simulation tool (such as MATLAB / Simulink, ANSYS, etc.) to construct a test simulation model that can accurately reflect the working state of the wind turbine under normal operation, extreme weather, and fault conditions. The simulation model includes three key modules: a working condition simulation module, a fault simulation module, and a test record module. Among them, the working condition simulation module is used to simulate the working state of the unit under different wind speeds, the fault simulation module is used to simulate various possible faults of the equipment, and the test record module is responsible for real-time recording of various test data.

[0022] Construct a test simulation model containing multiple functional modules through step S1, which can comprehensively simulate the operation of the main control device of the wind turbine, providing a basic model for accurately evaluating its performance.

[0023] Step S2: Obtain module function activation information, which is used to activate the operating condition simulation module and / or the fault simulation module. Among them, the operating condition simulation module simulates the working state of the wind turbine according to preset wind condition parameters, and the preset wind condition parameters include cut-in wind speed, cut-out wind speed, and typhoon condition parameters; the fault simulation module simulates faults according to the device state data, communication data, and grid data of the main control device.

[0024] Specifically, obtain module function activation information from an external or internal control system. The module function activation information is an execution signal or configuration data that triggers the operating condition simulation module and the fault simulation module in the simulation model, and can simultaneously include activation signals for activating both the operating condition simulation module and the fault simulation module, or only include the activation signal of one of the modules, depending on the actual test requirements.

[0025] When the activation information is received, if the activation information is for activating the operating condition simulation module, then the operating condition simulation module will simulate the working state according to the preset wind condition parameters. These preset wind condition parameters include preset cut-in wind speed, cut-out wind speed, and typhoon condition parameters, which are used to simulate various wind conditions during the operation of the offshore wind turbine. Taking the cut-in wind speed as an example, assuming the cut-in wind speed is set to 3 m / s, the operating condition simulation module will adjust the wind speed parameter in the model to 3 m / s, causing the wind turbine model to enter the starting state. If the activation information is for activating the fault simulation module, then the fault simulation module will simulate the possible faults that may occur during the operation of the offshore wind turbine according to the device state data (such as the reading of a certain sensor), communication data (such as the bandwidth and delay of the communication link), and grid data (such as the grid voltage fluctuation range) of the main control device. For example, if the device state data shows that the reading of a certain sensor is abnormal, the fault simulation module can simulate the impact of the sensor fault on the main control device of the wind turbine.

[0026] Through step S2, the operating condition simulation module or the fault simulation module can be selectively activated according to different test requirements, so as to efficiently conduct different types of tests, making the test process more flexible and targeted, and at the same time being able to comprehensively evaluate the performance of the main control device of the wind turbine under different conditions.

[0027] Step S3: Under the simulation of the operating condition simulation module and / or the fault simulation module, the test recording module monitors and records the test data of the physical structure and working parameters of the main control device of the wind turbine to obtain test record data.

[0028] Specifically, while the operating condition simulation module and / or the fault simulation module are running, the test recording module starts to work, monitors and records the data in real time during each simulation process, and generates test recording data. These test recording data include, but are not limited to, the physical structure and operating parameters of the wind turbine generator under various operating conditions. For example, when the operating condition simulation module simulates a typhoon operating condition, the test recording module will record whether the physical structure of the main control device is affected (such as whether the vibration amplitude of some components is within the normal range), and the changes in operating parameters (such as whether the voltage fluctuates). Similarly, when the fault simulation module simulates a communication fault, the test recording module will record the reaction of the main control device under this fault, including the operating states of each component and the changes in relevant parameters. For another example, under a normal operating condition with a wind speed of 12 m / s, the test recording module will record data such as the rotational speed, current, and voltage of the wind turbine generator; when a fault occurs during the simulation process, the recording module will also save information such as the time point of the fault occurrence, the fault type, and the response measures.

[0029] Through step S3, the data monitoring and recording of the main control device of the wind turbine generator under simulated operating conditions and faults are realized. The obtained test recording data provides a detailed basis for the subsequent state analysis and evaluation, and can accurately reflect the actual operating state of the main control device under various conditions.

[0030] Step S4: Analyze and evaluate the state of the main control device of the wind turbine generator for the test recording data, and generate a test result.

[0031] Specifically, use data analysis software (such as MATLAB, Excel, Python, etc.) to analyze the test recording data. For example, through statistical analysis of the voltage and current data in the test recording data, judge whether they are within the normal range; perform stability analysis on the data related to the physical structure, such as whether the vibration frequency of the components is stable. Compare these analysis results with the design specifications, comprehensively evaluate the state of the main control device of the wind turbine generator, and generate corresponding test results, including performance evaluation, fault response analysis, etc., to guide the optimization and maintenance of the equipment.

[0032] Through the analysis and evaluation of the test recording data in step S4, an intuitive test result is generated. This result can directly reflect the performance status of the main control device of the wind turbine generator, help identify potential fault risks and performance deficiencies, provide guiding opinions for subsequent optimization and equipment maintenance, and thus improve the reliability and stability of the operation of the main control device and the entire wind turbine generator.

[0033] Furthermore, step S1 includes:

[0034] Step S11: Collect the physical structure of the main control device of the wind turbine generator set, establish a structure model, fit the working parameters into the structure model, and construct a dynamic simulation model.

[0035] Step S12: Obtain the target test conditions and target test faults.

[0036] Step S13: Perform parameter analysis according to the target test conditions and target test faults respectively to obtain condition simulation parameters and fault simulation parameters.

[0037] Step S14: Use the condition simulation parameters and fault simulation parameters to construct the condition simulation module and fault simulation module respectively, and embed them into the dynamic simulation model to obtain the test simulation model.

[0038] Specifically, when constructing the test simulation model, it is first necessary to collect the actual physical structure of the main control device of the wind turbine generator set. This can be achieved by reading existing equipment manuals or directly using sensors and measurement tools to obtain structure data, such as using calipers to measure component dimensions and scanners to obtain circuit board layouts. Based on these physical structure data, a structure model is constructed. This structure model is an abstract representation of the physical structure of the main control device of the wind turbine generator set, describing the connection relationships, layouts, and other structural information among the various hardware components of the main control device, and can accurately represent the working mechanism of the wind turbine generator set. Then, for the collected working parameters (such as voltage, current, etc.), mathematical fitting methods (such as least squares fitting) are used to combine these parameters with the structure model, thereby constructing a dynamic simulation model. This dynamic simulation model takes into account time factors and can simulate the behavior of the main control device of the wind turbine generator set changing over time under different working conditions.

[0039] Next, obtain the target test conditions and target test faults selected by the tester through information interaction. These two parameters will determine the scenarios to be simulated in the subsequent simulation process. Among them, the target test conditions refer to different working conditions or environments set during the test, aiming to evaluate the performance of the wind turbine generator set under different conditions. The target test faults refer to the preset equipment fault situations in the test, including various equipment, communication, and grid faults, etc.

[0040] Then, parameter parsing is performed according to the target test conditions and target test faults respectively. For the target test conditions, various condition simulation parameters related thereto need to be parsed. These condition simulation parameters are the parameters required when simulating the target test conditions, such as wind speed, current, temperature, etc., which describe the impact of the conditions on the wind turbine generator set, and their selection usually depends on materials such as the technical specifications and equipment manuals of the wind turbine generator set. Similarly, for the target test faults, through the fault analysis tool, the corresponding fault simulation parameters are parsed. These fault simulation parameters are the parameters required when simulating faults, such as fault type, fault location, occurrence time, etc., which reflect the specific manifestation forms of the faults. Through parameter parsing, the target test conditions and target test faults are transformed into specific condition simulation parameters and fault simulation parameters that can be used for simulation, enabling the constructed condition simulation module and fault simulation module to accurately simulate the actual situation and improving the authenticity and reliability of the simulation.

[0041] According to the foregoing condition simulation parameters and fault simulation parameters, a condition simulation module and a fault simulation module are constructed respectively. The condition simulation module and the fault simulation module will simulate various condition and fault scenarios through different parameter settings. These two modules are embedded into the dynamic simulation model established previously to form the final test simulation model. This test simulation model can comprehensively simulate the performance of the wind turbine generator set during actual operation, including its working states under different conditions and faults.

[0042] The above-mentioned multiple steps collect the physical structure and working parameters of the main control device of the wind turbine generator set, establish a dynamic simulation model, further select the target test conditions and target test faults, parse the corresponding simulation parameters, construct the condition simulation module and the fault simulation module and embed them into the dynamic simulation model, completing the construction of the test simulation model, enabling the test simulation model to cover a variety of conditions and fault conditions, providing accurate simulation data, and providing a complete simulation platform for subsequent tests.

[0043] Furthermore, the target test conditions include: cut-in wind speed test condition, cut-out wind speed test condition and typhoon test condition; wherein, the cut-in wind speed test condition is used to simulate the wind speed gradually decreasing below the cut-in wind speed; the cut-out wind speed test condition is used to simulate the wind speed gradually increasing, reaching and exceeding the cut-out wind speed; the typhoon test condition simulates the wind speed gradually increasing, reaching and exceeding the critical value under typhoon conditions.

[0044] Specifically, the cut-in wind speed refers to the lowest wind speed when the wind turbine generator set starts generating electricity. Under the cut-in wind speed test condition, a signal generator is used to simulate the wind speed gradually decreasing below the cut-in wind speed (3 m / s), test the reaction of the main control device of the wind turbine generator set, and observe whether the wind turbine can stop normally.

[0045] The cut-out wind speed is the upper limit of the wind speed at which the wind turbine stops generating electricity. Under the cut-out wind speed test condition, a signal generator is used to simulate the gradually increasing wind speed until it reaches and exceeds the cut-out wind speed (25 m / s), and the wind turbine control strategies of the main control device at high wind speeds are tested, including speed limiting, power output, etc.

[0046] Under the typhoon test condition, when using a signal generator to simulate the gradually increasing wind speed until it reaches and exceeds the critical value under typhoon (30 m / s), the response of the main control device of the wind turbine is tested, including whether it can detect the abnormal wind speed and automatically adjust the working state of the wind turbine according to the typhoon level, such as adjusting the blade angle to reduce the force, etc.

[0047] These three target test conditions cover the situations at both ends of the normal operation range of the wind turbine and under extreme wind conditions. Through the simulation tests of these conditions, the performance of the main control device of the wind turbine under different wind speed changes can be comprehensively evaluated, including the response speed to wind speed changes, the control accuracy of the unit at different wind speeds, etc., to ensure that the main control device can operate stably and safely in the actual wind farm.

[0048] Furthermore, the target test faults include equipment fault test, communication fault test, and grid fault test.

[0049] Specifically, the equipment fault test mainly simulates and tests the possible faults of the main control device of the wind turbine itself. A signal generator or a virtual input signal source is used to simulate the key equipment faults of the wind turbine, and the response ability of the main control device under such equipment faults is tested, such as whether it can issue a fault alarm signal and perform reasonable fault handling. During the operation of the wind turbine, the possible equipment faults mainly include pitch system faults, motor faults, and gearbox faults, etc. When simulating the pitch system fault, a fault signal generator is used to simulate the fault signal of the pitch system, and by changing the voltage or digital signal of the pitch sensor, the situation of sensor failure or data inconsistency is simulated; when simulating the motor fault, a fault signal generator is used to simulate the load change of the motor, and the overload, failure, or other faults of the motor are simulated by adjusting the current signal; when simulating the gearbox fault, the abnormal signal of the temperature sensor is used to simulate the fault of too high oil temperature of the gearbox, and it is tested whether the main control device can take protective measures against the gearbox fault.

[0050] The communication fault test simulates the situation where communication problems occur between the main control device of a wind turbine generator and other devices (such as monitoring systems, other wind turbines). This includes communication line interruptions, communication data loss, etc. In case of a communication fault, the main control device needs to have corresponding processing mechanisms, such as attempting to re - establish a communication connection, caching local data during the communication fault, etc. Use a network switching device or manually disconnect the communication connection to simulate communication interruptions or data loss between the main control system and SCADA, remote I / O devices, etc., and test the emergency recovery ability and redundant communication mechanism of the main control system. Among them, when simulating a communication interruption, simulate the communication interruption between the main control device and key devices to verify whether the main control system can correctly switch to the standby communication channel. When simulating communication data loss, simulate partial loss or delay of data received by the main control system to test the data recovery mechanism and data synchronization ability.

[0051] The wind turbine generator is connected to the power grid. The power grid fault test uses a power grid simulator to simulate power grid outages, voltage fluctuations, power grid frequency changes and other possible fault conditions of the power grid, and tests the reaction of the main control device when the power grid fails, ensuring that the main control device can adapt to different power grid environments and achieve precise power regulation.

[0052] These three types of target test faults cover the problems that may occur in the equipment itself, communication, and power grid connection of the main control device of the wind turbine generator. By simulating these faults, the fault detection ability, fault handling ability of the main control device, and the protection ability of the overall operation of the wind turbine generator in case of faults can be evaluated, improving the reliability of the wind turbine generator operating in a complex environment.

[0053] Furthermore, step S13 includes:

[0054] For the equipment fault test, the fault simulation parameters at least include pitch system fault parameters, motor fault parameters, gearbox fault parameters; for the communication fault test, the fault simulation parameters include communication interruption test parameters, data loss test parameters; for the power grid fault test, the fault simulation parameters include power parameters, voltage fluctuations, power grid frequency change parameters.

[0055] Specifically, parameter analysis is performed according to the aforementioned set target test faults to obtain fault simulation parameters. For equipment fault testing, the fault simulation parameters at least include pitch system fault parameters, motor fault parameters, and gearbox fault parameters. Among them, the pitch system is an important part of a wind turbine for adjusting the blade angle. The pitch system fault parameters include the fault value of the blade angle sensor, the abnormal speed of the pitch motor, the abnormal hydraulic pressure value of the pitch system, etc.; the motor is the power source of components in the wind turbine (such as pitch motors, generators, etc.), and the motor fault parameters include the current overload value of the motor, the over-high temperature value of the motor, the abnormal speed value of the motor, etc.; the gearbox plays a role in transmitting power and adjusting speed in the wind turbine, and its fault parameters include the wear degree of the gears, the abnormal oil temperature value of the gearbox, the abnormal meshing clearance value of the gears, etc.

[0056] For communication fault testing, the fault simulation parameters include communication interruption test parameters and data loss test parameters. The communication interruption test parameters are used to simulate the situation where the communication line between the main control device of the wind turbine and other devices is completely disconnected. For example, parameters such as the duration of the communication interruption (such as interrupting for 5 minutes) and the interrupted communication interface (such as RS-485 interface communication interruption) can be set to test the response mechanism of the main control device during communication interruption. When problems occur during communication, data loss may result. The data loss test parameters include the type of lost data (such as wind speed data, unit status data), the amount of lost data (such as continuously losing 10 data points), the frequency of data loss (such as losing data once per hour), etc.

[0057] For grid fault testing, the fault simulation parameters include power parameters, voltage fluctuations, and grid frequency change parameters. The power parameters refer to the parameters related to the electric energy provided by the grid to the wind turbine, including active and reactive power, etc. Exemplarily, during grid fault testing, under the rated operating conditions of the wind turbine, according to Figure 2 the shown active power curve, the active power value is set, and the duration of each control point (such as 2 minutes) is set to check whether the wind turbine can adjust the power according to the set value and observe whether its response is stable and accurate; under light load and full load conditions, according to Figure 3 the shown curve, the given value of reactive power is set, and each reactive power control point runs for 2 minutes to check the reactive power regulation ability of the wind turbine and observe whether its response is stable and accurate. Voltage fluctuations refer to the up and down fluctuations of the grid voltage based on the normal operating value, and the corresponding fault simulation parameters include the fluctuation range, the fluctuation time, etc. The grid frequency is normally 50Hz or 60Hz (depending on the grid standards in different regions), and the grid frequency change parameters can be set as the frequency offset, such as the frequency changing from 50Hz to 49Hz or 51Hz. These fault simulation parameters for grid fault testing can comprehensively simulate different situations of grid faults.

[0058] By setting and applying fault simulation parameters, the response ability and stability of wind turbines under various equipment failures, communication problems, and grid abnormalities can be comprehensively tested. In particular, simulating various extreme conditions, such as failures of core equipment like the pitch system, motor, and gearbox, as well as environmental factors like communication interruption and grid fluctuations, can ensure that wind turbines have a high level of self-protection ability and fault emergency handling ability, thereby improving the safety, stability, and reliability of the turbines.

[0059] Furthermore, the test record data includes: the operation data, fault data, response time, and control instructions of the wind turbine.

[0060] Specifically, the test record data includes the operation data, fault data, response time, control instructions, etc. of the wind turbine. Among them, the operation data of the wind turbine includes wind speed, wind direction, blade speed, generator speed, power output, etc. These data reflect the basic operation state of the wind turbine and can be automatically collected by a data acquisition device.

[0061] Fault data is the data generated when a wind turbine fails, such as equipment fault codes, the time of fault occurrence, and relevant parameters at the time of the fault (such as current and voltage values at the time of the fault). Taking the pitch system fault as an example, the fault data may include the blade angle at the time of the pitch system fault alarm, the current of the pitch motor, etc. These data help to determine the cause and location of the fault.

[0062] The response time refers to the time required for the main control device of the wind turbine to respond to various situations (such as changes in working conditions, occurrence of faults, etc.). For example, when the wind speed suddenly changes, the time from when the main control device detects the change in wind speed to issuing an instruction to adjust the blade angle, or when a fault occurs, the time from when the fault is detected to implementing corresponding fault handling measures (such as cutting off the circuit).

[0063] Control instructions are the instructions issued by the main control device of the wind turbine to control the operation of each component of the wind turbine. For example, the instruction to adjust the blade angle issued by the main control device according to wind speed and wind direction information, or the instruction to adjust power output according to grid demand, etc. These instructions directly affect the operation state of the wind turbine.

[0064] Using test record data that includes operating data, fault data, response time, and control instructions can comprehensively reflect the performance of a wind turbine generator set. Operating data can evaluate the power generation efficiency, stability, etc. of the wind turbine generator set under normal operating conditions; fault data helps analyze the reliability and fault response capabilities of the wind turbine generator set; response time reflects the sensitivity of the main control device; and control instructions reflect whether the control strategy of the main control device for the wind turbine generator set is reasonable. By analyzing this test record data, it can provide a basis for the improvement and optimization of the wind turbine generator set.

[0065] Furthermore, step S4 includes:

[0066] Step S41: According to the test objective, perform multi-dimensional decomposition on the state analysis of the main control device of the wind turbine generator set to obtain multi-dimensional evaluation indicators.

[0067] Step S42: Match the test record data according to the evaluation parameters of the multi-dimensional evaluation indicators to establish a multi-dimensional evaluation data cluster.

[0068] Step S43: Perform evaluation calculations on the multi-dimensional evaluation data cluster respectively according to the evaluation comparison table of the preset dimension to obtain multi-dimensional evaluation results, and generate the test results according to the multi-dimensional evaluation results.

[0069] Specifically, the test objective is the specific purpose determined before testing the main control device of the wind turbine generator set. For example, to evaluate the performance of the main control device under extreme operating conditions, or to detect its ability to respond to specific faults, etc. Perform multi-dimensional analysis on the performance of the main control device of the wind turbine generator set according to the test objective, break down and refine the test objective from multiple dimensions such as operating state, fault handling ability, response speed, etc., and determine multi-dimensional evaluation indicators. These multi-dimensional evaluation indicators are indicators divided based on different dimensions, such as performance indicators, reliability indicators, stability indicators, fault recovery ability, etc., and are used to measure all aspects of the wind turbine generator set during the test. Through multi-dimensional decomposition, the complex system state analysis is transformed into multiple specific evaluation indicators, making the state analysis more systematic and operable, and providing a clear direction and standard for subsequent evaluation.

[0070] For each multi-dimensional evaluation indicator, determine its evaluation parameter, that is, the specific value or characteristic corresponding to the multi-dimensional evaluation indicator. For example, the evaluation parameter of the power fluctuation range can be the maximum value, minimum value, or average value. Then, extract the evaluation parameter values corresponding to each multi-dimensional evaluation indicator from the test record data, match the evaluation indicators with the test records, and obtain a multi-dimensional evaluation data cluster. Each cluster corresponds to an evaluation dimension.

[0071] The evaluation comparison table for preset dimensions is a reference standard table formulated in advance for the evaluation calculation of each dimension, which sets the scoring criteria for each evaluation dimension. For example, the stability of power output can be scored by the power fluctuation range of the unit at different wind speeds, and the fault recovery ability can be scored by the recovery time. For each multi-dimensional evaluation data cluster, evaluation calculation is carried out according to the corresponding evaluation comparison table of preset dimensions to obtain the multi-dimensional evaluation results corresponding to each dimension, and the test results are generated by integrating these evaluation results.

[0072] Through the above steps, by performing evaluation calculation according to the evaluation comparison table of preset dimensions, the evaluation results of each dimension can be obtained objectively and fairly. The test results generated by integrating the multi-dimensional evaluation results comprehensively reflect the state of the main control device of the wind turbine, providing an accurate basis for the operation, maintenance and improvement of the wind turbine.

[0073] Further, step S43 includes:

[0074] Step S431: Establish the mapping relationship between the multi-dimensional evaluation results, the target test indicators and the test scenario parameters.

[0075] Step S432: Extract the results according to the key data from the multi-dimensional evaluation results, and perform visual conversion on the evaluation results of the key data to generate visual information, where the key data includes response time, power fluctuation, and fault recovery time.

[0076] Step S433: Based on the mapping relationship of the multi-dimensional evaluation results, insert and integrate the visual information with the multi-dimensional evaluation results to generate the test results.

[0077] Specifically, by analyzing the operating principle of the wind turbine, test requirements, and previous test experience, etc., determine the logical connection between the multi-dimensional evaluation results, the target test indicators and the test scenario parameters, and establish the mapping relationship between the multi-dimensional evaluation results, the target test indicators and the test scenario parameters. For example, during the test, the response time of the wind turbine is 2 seconds under the cut-in wind speed test condition and 5 seconds under the cut-out wind speed test condition. Through the mapping relationship, these two test results are respectively associated with the target test indicator "response time" to form a clear evaluation clue for analyzing its performance.

[0078] Extract the evaluation results of key data from the multi-dimensional evaluation results. These key data are the most important several data points in the performance analysis of wind turbines, including response time, power fluctuation, fault recovery time, etc. Then, use visualization tools (such as Power BI, Tableau, Matplotlib, etc.) to perform visual transformation on the evaluation results of the key data to generate visual information. For example, in the dimension of response time, the response time recorded during the test can be visualized through charts, bar charts, line charts, etc., to help analysts intuitively understand the performance of the unit under different working conditions; for the data evaluation results of power fluctuation, a line chart can be used for visual transformation to show the change trend of power fluctuation under different test scenarios. By performing visual transformation on the evaluation results of key data to generate visual information, it can more intuitively display the evaluation results of key data, and help testers quickly and intuitively understand the performance of the main control device of the wind turbine in key performance aspects.

[0079] According to the established mapping and correlation relationship between the multi-dimensional evaluation results, target test indicators, and test scenario parameters, integrate the visual information into the multi-dimensional evaluation results to generate test results. For example, if in a certain test scenario, it is known through mapping and correlation that the response time is closely related to the hardware performance of the main control device, then insert the visual information (such as a bar chart) of the response time into the part of the multi-dimensional evaluation results related to the hardware performance, and combine the chart and specific numerical values to improve the readability and effectiveness of the report. The test results generated by this insertion and integration include both the detailed text analysis of the multi-dimensional evaluation results and intuitive visual information, making the test results more comprehensive and rich, facilitating users with different needs to comprehensively and deeply understand the test situation of the main control device of the wind turbine, and providing a strong basis for subsequent decision-making.

[0080] In summary, the operation test and verification method for the main control device of the wind turbine provided by the embodiments of the present application has the following technical effects:

[0081] The embodiments of the present application comprehensively verified the performance of the main control device of the offshore wind turbine under different working conditions by combining the simulation model with on-site data. With the support of the simulation tool, first accurately collected the physical structure and working parameters of the wind turbine, laying a foundation for subsequent working condition simulation and fault simulation. Through the working condition and fault simulation module, it is possible to simulate a variety of extreme weather and fault situations, so as to comprehensively test the performance of the wind turbine. The real-time monitoring and data recording of the test recording module further ensure the accuracy and integrity of the test data. Finally, through data analysis and evaluation, the reliability and stability evaluation results of the main control device of the wind turbine are obtained.

[0082] Overall, the embodiments of the present application significantly improve the comprehensiveness, accuracy, and reliability of performance verification, provide a more scientific and comprehensive basis for the reliability assessment of the main control device of a wind turbine under complex working conditions, and further enhance the safety and stability of the wind turbine in extreme offshore environments.

[0083] Embodiment 2, as Figure 4 shown, based on the same inventive concept as the foregoing Embodiment 1, the embodiment of the present application provides an operation test and verification system for the main control device of a wind turbine. The system includes:

[0084] A simulation model construction unit 10, configured to collect the physical structure and working parameters of the main control device of the wind turbine, and construct a test simulation model through a simulation tool. The test simulation model is built-in with a working condition simulation module, a fault simulation module, and a test record module.

[0085] A simulation test unit 20, configured to obtain module function activation information, where the module function activation information is used to activate the working condition simulation module and / or the fault simulation module. Among them, through the working condition simulation module, the working state of the wind turbine is simulated according to preset wind condition parameters, and the preset wind condition parameters include cut-in wind speed, cut-out wind speed, and typhoon working condition parameters; through the fault simulation module, faults are simulated according to the device state data, communication data, and grid data of the main control device.

[0086] A test record unit 30, configured to monitor and record test data of the physical structure and working parameters of the main control device of the wind turbine through the test record module under the simulation of the working condition simulation module and / or the fault simulation module, and obtain test record data.

[0087] A state analysis and evaluation unit 40, configured to perform state analysis and evaluation of the main control device of the wind turbine on the test record data, and generate a test result.

[0088] Furthermore, the simulation model construction unit 10 of the embodiment of the present application is further configured to perform the following steps:

[0089] Collect the physical structure of the main control device of the wind turbine, establish a structure model, fit the working parameters into the structure model to construct a dynamic simulation model; obtain target test working conditions and target test faults; respectively perform parameter analysis according to the target test working conditions and target test faults to obtain working condition simulation parameters and fault simulation parameters; use the working condition simulation parameters and fault simulation parameters to respectively construct the working condition simulation module and the fault simulation module, and embed them into the dynamic simulation model to obtain the test simulation model.

[0090] Further, the target test conditions include: cut-in wind speed test condition, cut-out wind speed test condition, and typhoon test condition; wherein, the cut-in wind speed test condition is used to simulate the wind speed gradually decreasing below the cut-in wind speed; the cut-out wind speed test condition is used to simulate the wind speed gradually increasing, reaching and exceeding the cut-out wind speed; the typhoon test condition simulates the wind speed gradually increasing, reaching and exceeding the critical value under typhoon conditions.

[0091] Further, the target test faults include equipment fault test, communication fault test, and grid fault test.

[0092] Further, parameter analysis is performed according to the target test faults to obtain fault simulation parameters, including: for the equipment fault test, the fault simulation parameters at least include pitch system fault parameters, motor fault parameters, and gearbox fault parameters; for the communication fault test, the fault simulation parameters include communication interruption test parameters and data loss test parameters; for the grid fault test, the fault simulation parameters include power parameters, voltage fluctuations, and grid frequency change parameters.

[0093] Further, the test record data includes: operation data, fault data, response time, and control instructions of the wind turbine.

[0094] Further, the state analysis and evaluation unit 40 of the embodiment of the present application is further configured to perform the following steps:

[0095] According to the test objective, perform multi-dimensional decomposition on the state analysis of the main control device of the wind turbine to obtain multi-dimensional evaluation indicators; match the test record data according to the evaluation parameters of the multi-dimensional evaluation indicators to establish a multi-dimensional evaluation data cluster; perform evaluation calculations on the multi-dimensional evaluation data cluster according to the evaluation comparison tables of the preset dimensions respectively to obtain multi-dimensional evaluation results, and generate the test results according to the multi-dimensional evaluation results.

[0096] Further, the state analysis and evaluation unit 40 of the embodiment of the present application is further configured to perform the following steps:

[0097] Establish a mapping association between the multi-dimensional evaluation results and the target test indicators and test scenario parameters; extract results according to the key data from the multi-dimensional evaluation results, and perform visual conversion on the key data evaluation results to generate visual information, where the key data includes response time, power fluctuation, and fault recovery time; based on the mapping association relationship of the multi-dimensional evaluation results, insert and fuse the visual information with the multi-dimensional evaluation results to generate the test results.

[0098] Through the foregoing detailed description of the operation test verification method of the main control device of the wind turbine generator set, those skilled in the art can clearly know the operation test verification system of the main control device of the wind turbine generator set in this embodiment. For the system disclosed in the second embodiment, since it corresponds to the method disclosed in the first embodiment, it has corresponding functional units and beneficial effects. For the relevant parts, refer to the description in the method part.

[0099] Embodiment 3: Based on the same inventive concept as the operation test verification method of the main control device of the wind turbine generator set in the foregoing Embodiment 1, the present application also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements each step of the operation test verification method embodiment of the main control device of the wind turbine generator set, and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0100] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be obvious to those skilled in the art, and the general principles defined herein can be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to these embodiments shown herein, but will be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An operation test verification method for a main control device of a wind turbine generator set, characterized in that: include: Collect the physical structure and working parameters of the main control device of the wind turbine generator set, and build a test simulation model through a simulation tool. The test simulation model has built-in working condition simulation module, fault simulation module and test recording module; Acquire module function activation information, the module function activation information is used to activate the operating condition simulation module and / or the fault simulation module, wherein the operating condition simulation module performs a wind turbine operating state simulation according to preset wind condition parameters, the preset wind condition parameters include a cut-in wind speed, a cut-out wind speed and a typhoon operating condition parameter; and the fault simulation module performs a fault simulation according to the equipment status data, communication data and power grid data of the main control device; Under the simulation of the working condition simulation module and / or the fault simulation module, the test data of the physical structure and working parameters of the main control device of the wind turbine generator set are monitored and recorded by the test recording module to obtain the test record data; The state analysis and evaluation of the wind turbine generator set main control device is performed on the test record data to generate a test result.

2. The operation test verification method of the wind turbine main control device according to claim 1, characterized in that: The collecting of the physical structure and working parameters of the main control device of the wind turbine generator set and the construction of a test simulation model through a simulation tool include: Collecting the physical structure of the main control device of the wind turbine generator set, establishing a structural model, fitting the working parameters to the structural model, and constructing a dynamic simulation model; Obtain target test conditions and target test faults; Perform parameter analysis according to the target test working condition and the target test fault respectively to obtain working condition simulation parameters and fault simulation parameters; The operating condition simulation parameters and the fault simulation parameters are used to construct the operating condition simulation module and the fault simulation module respectively, and are embedded in the dynamic simulation model to obtain the test simulation model.

3. The operation test verification method of the wind turbine main control device according to claim 2, characterized in that: The target test conditions include: cut-in wind speed test condition, cut-out wind speed test condition and typhoon test condition; Among them, the cut-in wind speed test condition is used to simulate the wind speed gradually decreasing to below the cut-in wind speed; the cut-out wind speed test condition is used to simulate the wind speed gradually increasing, reaching and exceeding the cut-out wind speed; the typhoon test condition simulates the wind speed gradually increasing, reaching and exceeding the critical value under the typhoon.

4. The operation test verification method of the wind turbine main control device according to claim 2, characterized in that: The target test failures include equipment failure test, communication failure test, and power grid failure test.

5. The operation test verification method of the wind turbine main control device according to claim 4, characterized in that: Parameter parsing is performed according to the target test fault to obtain fault simulation parameters, including: For the equipment fault test, the fault simulation parameters include at least pitch system fault parameters, motor fault parameters, and gearbox fault parameters; For the communication fault test, the fault simulation parameters include communication interruption test parameters and data loss test parameters; For the power grid fault test, the fault simulation parameters include power parameters, voltage fluctuations, and power grid frequency change parameters.

6. The operation test verification method of the wind turbine main control device according to claim 1, characterized in that: The test record data includes: operation data, fault data, response time, and control instructions of the wind turbine generator set.

7. The operation test verification method of the wind turbine main control device according to claim 1, characterized in that: The test record data is subjected to status analysis and evaluation of the wind turbine generator set main control device to generate test results, including: According to the test objectives, the state analysis of the main control device of the wind turbine generator set is decomposed in multiple dimensions to obtain multi-dimensional evaluation indicators; Matching the test record data according to the evaluation parameters of the multi-dimensional evaluation index to establish a multi-dimensional evaluation data cluster; According to the multi-dimensional evaluation data cluster, evaluation calculations are performed respectively according to the evaluation comparison table of preset dimensions to obtain multi-dimensional evaluation results, and the test results are generated according to the multi-dimensional evaluation results.

8. The operation test verification method of the wind turbine master control device according to claim 7, characterized in that: Generating the test result according to the multi-dimensional evaluation result includes: Establishing a mapping association between the multi-dimensional evaluation results and target test indicators and test scenario parameters; Extracting results according to key data based on the multi-dimensional evaluation results, and visually converting the key data evaluation results to generate visual information, wherein the key data include response time, power fluctuation, and fault recovery time; Based on the mapping association relationship of the multi-dimensional evaluation results, the visualization information is inserted and fused with the multi-dimensional evaluation results to generate the test results.

9. The operation test verification system of the main control device of the wind turbine generator set is characterized in that: The system is used to execute the operation test verification method of the wind turbine main control device according to any one of claims 1 to 8, comprising: A simulation model building unit, used to collect the physical structure and working parameters of the main control device of the wind turbine generator set, and build a test simulation model through a simulation tool. The test simulation model has built-in working condition simulation module, fault simulation module and test record module; A simulation test unit, used for obtaining module function activation information, wherein the module function activation information is used for activating the operating condition simulation module and / or the fault simulation module, wherein the operating condition simulation module is used for simulating the working state of the wind turbine according to preset wind condition parameters, wherein the preset wind condition parameters include a cut-in wind speed, a cut-out wind speed and a typhoon operating condition parameter; and the fault simulation module is used for simulating faults according to the equipment status data, communication data and power grid data of the main control device; A test recording unit, used to monitor and record the test data of the physical structure and working parameters of the main control device of the wind turbine generator set through the test recording module under the simulation of the working condition simulation module and / or the fault simulation module, and obtain test record data; The status analysis and evaluation unit is used to perform status analysis and evaluation of the wind turbine generator set main control device on the test record data to generate a test result.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the operation test verification method of the wind turbine master control device according to any one of claims 1 to 8 are implemented.

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