Method and device for analyzing short-circuit current of doubly-fed wind turbine generator and medium

Abstract

The invention discloses a doubly-fed wind turbine generator short-circuit current analysis method and device and a medium. Relates to the field of wind turbines, and solves the problem that the accuracy of a simulation result is limited due to the fact that single software simulation cannot comprehensively simulate complex electrical behaviors. According to the method, the electrical response of the doubly-fed wind turbine generator under the short-circuit fault can be accurately simulated through joint simulation of Maxwell, Simplorer and Simulink in combination with a motor body, converter control and a fan main circuit, the joint simulation method is more comprehensive and accurate than single software simulation, and a more reliable and accurate simulation result can be provided. The dynamic performance of the unit during the short-circuit fault is comprehensively evaluated, the problems existing in the short-circuit protection strategy can be found and optimized in time through simulation analysis, it is ensured that the wind turbine unit can quickly respond and avoid equipment damage when the power grid fault occurs, and the safety and stability of the unit are improved.

Description

Technical Field

[0001] The present application relates to the field of wind turbines, and in particular to a short-circuit current analysis method, device and medium for a doubly-fed wind turbine set. Background Art

[0002] As one of the core equipment of modern wind power generation technology, high voltage doubly-fed wind turbines are widely used in the field of wind power generation. They are mainly composed of wind turbines, converters and grid connection systems. In the event of grid failure or short circuit, the short-circuit current characteristics of wind turbines are crucial to the stability of the power system. Therefore, studying and optimizing the short-circuit current response of wind turbines is the key to ensuring their safety and stability.

[0003] In the existing technology, many short-circuit current simulation methods rely on a single simulation software, usually Maxwell (an electromagnetic field analysis software), Simplorer (a circuit simulation software) or Simulink (a visual simulation tool in MATLAB (a mathematical software)) for modeling and simulation. Although these softwares perform well in their respective fields, their respective functions and advantages cannot fully complement each other in the short-circuit current simulation of wind turbines. Maxwell is good at motor electromagnetic field simulation, but its simulation capabilities for system electrical behaviors (such as converter control, main circuit short-circuit faults, etc.) are limited; Simulink can effectively simulate converter control strategies and power electronic equipment, but it is insufficient in the accuracy of short-circuit current simulation and coupling with motor electromagnetic behavior; Simplorer is mainly used for the integration and simulation of electrical systems, but lacks the modeling capabilities of the intrinsic electromagnetic characteristics of motors and the interaction with control systems.

[0004] It can be seen that how to solve the problem that a single software simulation cannot fully simulate complex electrical behaviors, resulting in limited accuracy of simulation results, is a technical problem that needs to be urgently solved by people in this field. Summary of the invention

[0005] The purpose of this application is to provide a method, device and medium for short-circuit current analysis of a doubly-fed wind turbine generator set, so as to solve the problem that a single software simulation cannot fully simulate complex electrical behaviors, resulting in limited accuracy of simulation results.

[0006] In order to solve the above technical problems, the present application provides a short-circuit current analysis method for a doubly-fed wind turbine generator set, comprising:

[0007] Obtain the motor body model of the high-voltage doubly-fed wind turbine set established in Maxwell, the main circuit of the doubly-fed system built in Simplorer, and the control model of the doubly-fed system converter established in Simulink;

[0008] Importing the motor body model into the Simplorer;

[0009] Establishing a connection between the Simulink and the Simplorer and exchanging data signals;

[0010] Setting the short-circuit condition and short-circuit time of the main circuit of the double-fed system in the Simplorer;

[0011] Controlling the joint simulation operation of the Maxwell, Simplorer, and Simulink;

[0012] Get the short-circuit current simulation results.

[0013] As an optional solution, in the above-mentioned double-fed wind turbine short-circuit current analysis method, a motor body model of a high-voltage double-fed wind turbine is established in Maxwell, including:

[0014] Import the geometric model of the high-voltage doubly-fed wind turbine into Maxwell;

[0015] Set preset material parameters, winding excitation, boundary conditions, and meshing conditions;

[0016] Set the analysis conditions according to the preset simulation time and preset step size.

[0017] As an optional solution, in the above-mentioned doubly-fed wind turbine short-circuit current analysis method, the main circuit of the doubly-fed system is built in Simplorer, including:

[0018] According to the preset grid model parameters, build the main circuit of the double-fed system including the grid, stator-side line, rotor-side line and converter in Simplorer;

[0019] Add the control signal of the converter.

[0020] As an optional solution, in the above-mentioned doubly-fed wind turbine short-circuit current analysis method, the control model of the doubly-fed system converter includes a stator-side PWM control module and a rotor-side PWM control module;

[0021] Among them, the control strategies of the control model of the doubly-fed system converter include: stator power factor control strategy and MPPT control strategy.

[0022] As an optional solution, in the above-mentioned doubly-fed wind turbine short-circuit current analysis method, establishing a connection between the Simulink and the Simplorer and performing data signal exchange includes:

[0023] Configure the Ansys path in Matlab and the Matlab path in Simplorer;

[0024] The converter control signal of the Simulink and the voltage and current signals of the Simplorer are interacted in real time.

[0025] As an optional solution, in the above-mentioned doubly-fed wind turbine short-circuit current analysis method, the short-circuit condition and short-circuit time of the main circuit of the doubly-fed system are set in the Simplorer, including:

[0026] Select the short-circuit point on the grid side, stator side or rotor side of the main circuit;

[0027] Simulating a short-circuit condition according to the short-circuit point;

[0028] The step time of the control signal is modified to simulate the short circuit time, wherein the control signal is a time-controllable step signal.

[0029] As an optional solution, in the above-mentioned doubly-fed wind turbine short-circuit current analysis method, controlling the Maxwell, Simplorer, and Simulink joint simulation to run includes:

[0030] Set the same simulation step size and simulation time for the Maxwell, Simplorer, and Simulink;

[0031] Start the joint simulation and monitor the simulation process in real time;

[0032] Correspondingly, the obtaining of the short-circuit current simulation result includes:

[0033] The running result in the Simulink is obtained as a short-circuit current simulation result.

[0034] In order to solve the above technical problems, the present application also provides a short-circuit current analysis device for a doubly-fed wind turbine generator set, comprising:

[0035] The acquisition module is used to obtain the motor body model of the high-voltage double-fed wind turbine set established in Maxwell, the main circuit of the double-fed system built in Simplorer, and the control model of the double-fed system converter established in Simulink;

[0036] An import module, used for importing the motor body model into the Simplorer;

[0037] An interaction module, used for establishing a connection between the Simulink and the Simplorer and exchanging data signals;

[0038] A short-circuit setting module, used to set the short-circuit condition and short-circuit time of the main circuit of the double-fed system in the Simplorer;

[0039] A simulation module, used for controlling the joint simulation operation of the Maxwell, Simplorer and Simulink;

[0040] The result output module is used to obtain the short-circuit current simulation results.

[0041] In order to solve the above technical problems, the present application also provides a short-circuit current analysis device for a doubly-fed wind turbine generator set, comprising:

[0042] Memory for storing computer programs;

[0043] The processor is used to implement the steps of the above-mentioned double-fed wind turbine short-circuit current analysis method when executing the computer program.

[0044] In order to solve the above technical problems, 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, the steps of the above-mentioned doubly-fed wind turbine short-circuit current analysis method are implemented.

[0045] The short-circuit current analysis method of the doubly-fed wind turbine provided in the present application includes: obtaining the motor body model of the high-voltage doubly-fed wind turbine established in Maxwell, the main circuit of the doubly-fed system built in Simplorer, and the control model of the doubly-fed system converter established in Simulink; importing the motor body model into the Simplorer; establishing the connection between the Simulink and the Simplorer and exchanging data signals; setting the short-circuit condition and short-circuit time of the main circuit of the doubly-fed system in the Simplorer; controlling the joint simulation operation of the Maxwell, the Simplorer, and the Simulink; and obtaining the short-circuit current simulation result. The present application is a joint simulation of Maxwell, Simplorer, and Simulink, combined with the motor body, converter control, and the main circuit of the wind turbine, which can accurately simulate the electrical response of the doubly-fed wind turbine under a short-circuit fault. This joint simulation method is more comprehensive and accurate than single software simulation, and can provide more reliable and accurate simulation results. Comprehensively evaluate the dynamic performance of the unit during short-circuit faults. Through simulation analysis, problems in the short-circuit protection strategy can be discovered and optimized in a timely manner, ensuring that the wind turbine can respond quickly and avoid equipment damage when a grid fault occurs, thereby improving the safety and stability of the unit.

[0046] In addition, the present application also provides a device and a medium, which correspond to the above-mentioned double-fed wind turbine short-circuit current analysis method and have the same effect as above. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0048] Figure 1 A flow chart of a method for analyzing short-circuit current of a doubly-fed wind turbine generator system is provided for this application;

[0049] Figure 2 A cross-sectional view of a motor core and a coil provided in an embodiment of the present application;

[0050] Figure 3 A schematic diagram of a model of a single-phase short circuit, a two-phase short circuit, and a three-phase short circuit provided in an embodiment of the present application;

[0051] FIG4 (a) is a schematic diagram of a simulation of a three-phase short-circuit torque provided in an embodiment of the present application;

[0052] FIG4( b ) is a schematic diagram of a simulation of a stator three-phase short-circuit current provided in an embodiment of the present application;

[0053] FIG4( c ) is a schematic diagram of a simulation of a rotor three-phase short-circuit current provided in an embodiment of the present application;

[0054] Figure 5 A structural diagram of a short-circuit current analysis device for a doubly-fed wind turbine generator set provided in an embodiment of the present application;

[0055] Figure 6 A structural diagram of another doubly-fed wind turbine short-circuit current analysis device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0057] The core of this application is to provide a method, device and medium for analyzing short-circuit current of a doubly-fed wind turbine generator set.

[0058] In order to enable those skilled in the art to better understand the present application, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0059] In order to solve the above technical problems, the present application provides a short-circuit current analysis method for a doubly-fed wind turbine generator set. Figure 1 A flow chart of a method for analyzing short-circuit current of a doubly-fed wind turbine is provided for this application. Figure 1 As shown, including:

[0060] S11: Obtain the motor body model of the high-voltage doubly-fed wind turbine set established in Maxwell, the main circuit of the doubly-fed system built in Simplorer, and the control model of the doubly-fed system converter established in Simulink;

[0061] S12: Import the motor body model into Simplorer;

[0062] S13: Establish the connection between Simulink and Simplorer and exchange data signals;

[0063] S14: Set the short-circuit condition and short-circuit time of the main circuit of the double-fed system in Simplorer;

[0064] S15: Control the joint simulation of Maxwell, Simplorer and Simulink;

[0065] S16: Obtain short-circuit current simulation results.

[0066] In step S11, a motor body model of a high-voltage doubly-fed wind turbine is established in Maxwell. In this step, it is necessary to draw or import the geometric model of the motor core and coil, set material properties, winding excitation, boundary conditions and meshing, and configure solution settings. Through these steps, an accurate motor body model of a high-voltage doubly-fed wind turbine can be established for subsequent joint simulation.

[0067] Build the main circuit of the doubly-fed system in Simplorer. The main circuit usually includes the power grid, stator-side circuit, rotor-side circuit and converter. During the construction process, it is necessary to add the control signal of the converter to ensure that the circuit can accurately reflect the actual operation of the doubly-fed wind turbine.

[0068] The control model of the doubly-fed system converter is established in Simulink. In this step, the converter control parameters need to be debugged according to the motor parameters to ensure that the control model can accurately simulate the control behavior of the converter under short-circuit faults.

[0069] Step S12: Import the motor body model in Maxwell into Simplorer. This step is the key to joint simulation. By importing the motor body model, data sharing and joint simulation between Maxwell and Simplorer can be achieved.

[0070] Step S13: Establish the connection between Simulink and Simplorer, and exchange data signals. In this step, the S-Function module in Simulink (a special module in Simulink that allows users to customize the algorithms and behaviors in the model and expand the functions of Simulink) is required to realize the bidirectional exchange of voltage, current signals and converter control signals. Through these signal exchanges, it can be ensured that the control model in Simulink can control the main circuit in Simplorer in real time, realizing the real-time and accuracy of the joint simulation.

[0071] Step S14 sets the short-circuit condition and short-circuit time of the main circuit of the double-fed system in Simplorer. In this step, it is necessary to select the short-circuit point, add a controllable grounding switch, and control the occurrence time of the short-circuit fault by setting a step signal. Through these settings, different short-circuit conditions can be simulated, providing a basis for subsequent simulation analysis.

[0072] Step S15 controls the joint simulation operation of Maxwell, Simplorer, and Simulink. During the joint simulation process, the simulation step size and simulation time of each software need to be synchronized to ensure the synchronization and accuracy of the simulation. At the same time, it is also necessary to monitor the simulation process in real time and handle possible simulation errors or exceptions in a timely manner.

[0073] After the simulation is completed, it is necessary to extract simulation results such as short-circuit current waveform from Simplorer. The simulation results are analyzed in depth. In this step, key parameters such as the peak value and rise time of the short-circuit current need to be analyzed to evaluate their rationality. At the same time, it is also necessary to comprehensively evaluate the electrical response characteristics of the wind turbine under short-circuit faults and the effectiveness and reliability of the short-circuit protection strategy to provide a scientific basis for the actual operation of the wind turbine.

[0074] A short-circuit current analysis method for a doubly-fed wind turbine provided by an embodiment of the present application includes: obtaining a motor body model of a high-voltage doubly-fed wind turbine established in Maxwell, a main circuit of a doubly-fed system built in Simplorer, and a control model of a doubly-fed system converter established in Simulink; importing the motor body model into Simplorer; establishing a connection between Simulink and Simplorer and exchanging data signals; setting the short-circuit condition and short-circuit time of the main circuit of the doubly-fed system in Simplorer; controlling the joint simulation operation of Maxwell, Simplorer, and Simulink; and obtaining the short-circuit current simulation result. This application is a joint simulation of Maxwell, Simplorer, and Simulink, combined with the motor body, converter control, and wind turbine main circuit, which can accurately simulate the electrical response of a doubly-fed wind turbine under a short-circuit fault. This joint simulation method is more comprehensive and accurate than a single software simulation, and can provide more reliable and accurate simulation results. Comprehensively evaluate the dynamic performance of the unit during a short-circuit fault, and provide a scientific basis for the short-circuit protection setting of the wind turbine. Through simulation analysis, problems in the short-circuit protection strategy can be discovered and optimized in a timely manner, ensuring that wind turbines can respond quickly and avoid equipment damage when a grid fault occurs, thereby improving the safety and stability of the units.

[0075] According to the above embodiment, in a specific embodiment, a motor body model of a high-voltage double-fed wind turbine generator set is established in Maxwell, including:

[0076] Import the geometric model of the high-voltage doubly-fed wind turbine into Maxwell;

[0077] Set preset material parameters, winding excitation, boundary conditions, and meshing conditions;

[0078] Set the analysis conditions according to the preset simulation time and preset step size.

[0079] Import the geometric model of the high-voltage double-fed wind turbine into the Maxwell software. You can use Maxwell's import function to import the drawn or existing motor geometric model files into the software, such as DXF (a drawing exchange file format), DWG (a computer-aided design proprietary file format) and other formats. In order to simplify the model and improve simulation efficiency, it is usually chosen to import a 1 / 4 model or a symmetrical model for subsequent simulation analysis. Figure 2 A cross-sectional view of a motor core and a coil provided in an embodiment of the present application, such as Figure 2 As shown, in order to improve the simulation efficiency, a 1 / 4 model is used, an air region containing the rotor is established, set as the rotating region, and the rotation speed is set to the rated speed of the motor.

[0080] Set preset material parameters for each component in the motor body model. Select the corresponding components in the model tree, such as stator winding, rotor winding, stator core, etc. Add corresponding material properties for each component, such as aluminum_115C for stator winding, copper_115C for rotor winding, 50W600 for stator core, etc. For materials that require special treatment, such as core materials with nonlinear magnetization characteristics, it is also necessary to assign magnetization curve parameters, such as the magnetization curve parameters shown in Table 1.

[0081] Table 1 Magnetization curve parameters

[0082]

[0083] By setting material parameters, it can be ensured that the motor body model can accurately reflect the electrical and magnetic properties of the actual material during the simulation process.

[0084] Set the excitation conditions for the windings of the motor body model. By setting the current direction of the stator winding according to the number of slots per pole per phase and the pitch, it is divided into three phases: U, V, and W. The rotor winding is also set up, divided into three phases: K, L, and M, and connected to the main circuit in Simplorer.

[0085] For example, select External as the excitation type and set the initial current to 0 so that Simplorer can provide actual current excitation during co-simulation.

[0086] The setting of winding excitation will affect the electrical response of the motor during simulation and is the key to obtaining accurate simulation results.

[0087] Set appropriate boundary conditions and meshing conditions for the motor body model. Boundary conditions are usually set as magnetic field boundary conditions, such as balloon boundaries or symmetric boundaries, to simulate the actual operating environment of the motor. Meshing conditions need to be set according to the complexity of the model and the simulation accuracy requirements. Usually, automatic meshing or manual adjustment of meshing density is selected. Reasonable boundary conditions and meshing conditions can ensure the stability and accuracy of the simulation process while reducing the amount of calculation.

[0088] Set the analysis conditions according to the preset simulation time and step size. Usually, create a new analysis setting and configure the simulation time and step size. For example, the simulation time is set to 5s and the simulation step size is set to 0.01ms. Select the transient model as the solution type to ensure that the dynamic response of the motor under short-circuit fault can be captured.

[0089] By setting the analysis conditions, we can ensure that the simulation process is carried out according to the predetermined time and step size, so as to obtain accurate simulation results.

[0090] By accurately setting material parameters, winding excitation, boundary conditions, meshing conditions, and analysis conditions, it is possible to ensure that the motor body model can accurately reflect the electrical and magnetic characteristics of the actual motor during the simulation process, thereby improving the simulation accuracy. During the product design stage, simulation analysis can timely discover and optimize design problems, such as unreasonable winding layout and improper material selection, thereby optimizing product design solutions and improving product performance and reliability. Through simulation analysis, the failure rate and number of iterations in actual testing can be reduced, R&D costs can be reduced, and product development cycles can be shortened to improve market competitiveness.

[0091] According to the above embodiment, in a specific embodiment, to ensure the accuracy of the circuit model and the effectiveness of the simulation effect, a main circuit of a double-fed system is built in Simplorer, including:

[0092] According to the preset grid model parameters, build the main circuit of the double-fed system including the grid, stator-side line, rotor-side line and converter in Simplorer;

[0093] Add the control signal of the converter.

[0094] First, create a grid model in Simplorer according to the preset grid model parameters. This usually includes key parameters such as voltage level, frequency, phase, etc. of the grid. Use grid elements in Simplorer (such as voltage source, current source, etc.) to simulate the power supply of the grid. Set the initial conditions of the grid model, such as the initial values ​​of voltage and current, and the steady-state operation state of the grid.

[0095] On the basis of the power grid model, add the stator side line and connect it to the stator winding of the doubly-fed wind turbine. The stator side line should contain necessary electrical components, such as resistance, inductance, capacitance, etc., to simulate the electrical characteristics of the actual line. Set the parameters of the stator side line, such as line impedance, line length, etc., to ensure the accuracy of the simulation.

[0096] Similarly, based on the grid model, add the rotor-side line and connect it to the rotor winding of the doubly-fed wind turbine. The rotor-side line should also contain necessary electrical components to simulate the electrical characteristics of the actual line. Set the parameters of the rotor-side line to ensure that it matches the stator-side line and the grid model.

[0097] Build a converter model in Simplorer. The model should be able to accurately reflect the actual role of the converter in the doubly fed wind turbine. The converter model should include key components such as rectifiers, inverters, filters, and set corresponding parameters and control strategies. Connect the converter model with the stator side line and the rotor side line to form a complete doubly fed system main circuit.

[0098] Usually in Simplorer, a control signal input port is added to the converter model to receive the control signal from Simulink. The type and format of the control signal need to be determined according to the control requirements of the converter. The control signal may include voltage control signal, current control signal, pulse width modulation (PWM) control signal, etc., depending on the control strategy of the converter.

[0099] The control model in Simulink is connected to the converter model in Simplorer through a data signal exchange interface to ensure that the control signal can be accurately and real-time transmitted to the converter model to achieve precise control effects.

[0100] Before co-simulation, the control signal can be verified and debugged to ensure its accuracy and reliability. The effectiveness of the control signal can be verified by setting monitoring points or simulation tests in Simplorer.

[0101] Through the above specific embodiments, the main circuit model built according to the preset grid model parameters and the converter control signal can accurately reflect the actual operation of the doubly-fed wind turbine set, providing a reliable basis for subsequent simulation analysis. The main circuit model can be expanded and modified according to actual needs to adapt to different types of doubly-fed wind turbine sets and grid conditions. By adding the converter control signal, precise control of the converter can be achieved.

[0102] According to the above embodiment, in a specific embodiment, the control model of the doubly-fed system converter includes a stator-side PWM control module and a rotor-side PWM control module;

[0103] Among them, the control strategies of the control model of the doubly-fed system converter include: stator power factor control strategy and maximum power point tracking (MPPT) control strategy.

[0104] The control model of the doubly-fed system converter mainly includes the stator-side PWM control module and the rotor-side PWM control module. These two modules are responsible for controlling the operation of the stator-side and rotor-side converters respectively to achieve effective control of the doubly-fed wind turbine.

[0105] The stator-side PWM control module is mainly responsible for controlling the stator-side converter to achieve precise control of electrical quantities such as stator-side voltage and current. Through the PWM control strategy, the stator-side PWM control module can adjust the output voltage and current of the stator-side converter, thereby achieving flexible adjustment of the stator-side electrical quantities of the doubly-fed wind turbine.

[0106] The rotor-side PWM control module is mainly responsible for controlling the rotor-side converter to achieve precise control of electrical quantities such as rotor-side voltage and current. Through the PWM control strategy, the rotor-side PWM control module can adjust the output voltage and current of the rotor-side converter, thereby achieving flexible adjustment of the electrical quantities on the rotor side of the doubly-fed wind turbine.

[0107] In the control model of the doubly-fed system converter, a variety of control strategies are used to ensure the efficient and stable operation of the doubly-fed wind turbine. Among them, the stator power factor control strategy and the MPPT control strategy are two important control strategies.

[0108] The stator power factor control strategy mainly controls the stator-side converter to keep the doubly-fed wind turbine generator set at a high power factor during operation. By adjusting the output voltage and current of the stator-side converter, the power factor of the doubly-fed wind turbine generator set can be effectively controlled, thereby improving the stability and transmission efficiency of the power grid.

[0109] The MPPT control strategy is to control the rotor-side converter so that the doubly-fed wind turbine can track the maximum power point (MPP) of the wind turbine in real time, thereby maximizing the use of wind energy. The MPPT control strategy is usually designed based on the characteristic curve of the wind turbine and the principle of maximum power capture. By real-time monitoring of parameters such as the output power and speed of the wind turbine, the MPPT control strategy can adjust the control strategy of the generator so that the wind turbine always runs at the maximum power point.

[0110] By adopting the above control model and control strategy, the stator power factor control strategy and MPPT control strategy can ensure that the doubly-fed wind turbine maintains a high power factor and maximizes the use of wind energy during operation, thereby improving the operating efficiency of the unit. Maintain the stability and transmission efficiency of the power grid, reduce the loss of reactive power and the impact on the power grid. By real-time monitoring and adjusting the control strategy, the doubly-fed wind turbine can adapt to different wind speeds and power grid conditions and achieve a more optimized control effect.

[0111] It should be noted that the control model and control strategy of the doubly-fed system converter may vary depending on the actual application scenario and specific requirements. In practical applications, they should be selected and adjusted according to the actual situation to ensure the efficient and stable operation of the doubly-fed wind turbine.

[0112] According to the above embodiment, in a specific embodiment, establishing a connection between Simulink and Simplorer and performing data signal exchange includes:

[0113] Configure the Ansys path in Matlab and the Matlab path in Simplorer;

[0114] The converter control signal of Simulink and the voltage and current signals of Simplorer are interacted in real time.

[0115] Configure the Ansys path in Matlab, open the Matlab software, and enter its working environment.

[0116] Use Matlab's "Set Path" function to add the installation path of ANSYS software (a common finite element analysis software) to Matlab's path list. This usually includes the main directory of ANSYS and any related subdirectories.

[0117] To configure the Matlab path in Simplorer, open the Simplorer software and enter its main interface. In the "Settings" or "Options" menu of Simplorer, find the options related to the Matlab path configuration. Add the Matlab installation path to the path list of Simplorer to ensure that Simplorer can recognize and call the relevant functions and scripts of Matlab.

[0118] Identify the converter control signals that Simulink needs to send to Simplorer, and the voltage and current signals that Simplorer needs to send to Simulink. Determine the key parameters such as signal format, type, frequency, etc. to ensure data accuracy and real-time performance.

[0119] Set the output signal in Simulink. In the control model of Simulink, find the converter control signal that needs to be output to Simplorer. Use the "output" or "signal source" function of Simulink to mark these signals as signals that need to be output and set the corresponding output parameters.

[0120] In the Simplorer circuit model, find the input ports that need to receive the converter control signals from Simulink. Use Simplorer's "Input" or "Signal Receiver" function to configure these ports to receive signals from Simulink and set the corresponding input parameters.

[0121] Set the output signal in Simplorer. In the circuit model of Simplorer, find the voltage and current signals that need to be output to Simulink. Use the "measurement" or "signal source" function of Simplorer to mark these signals as signals that need to be output and set the corresponding output parameters.

[0122] Set the input signal in Simulink. In the control model of Simulink, find the input ports that need to receive the voltage and current signals from Simplorer. Use the "Input" or "Signal Receiver" function of Simulink to configure these ports to receive signals from Simplorer and set the corresponding input parameters.

[0123] Through the joint simulation interface or data exchange function provided by Simulink and Simplorer, a real-time data interaction channel is established between the two software.

[0124] Table 2 is a schematic diagram of signal exchange

[0125]

[0126] Ensure the stability and reliability of the data interaction channel to achieve real-time transmission and update of data during the simulation process.

[0127] After completing the path configuration and data signal exchange settings, conduct joint simulation verification and debugging. Ensure the correctness and real-time performance of data signal exchange by monitoring and comparing signal changes in Simulink and Simplorer. Adjust path configuration, signal parameters or simulation settings as needed to optimize the effect of joint simulation.

[0128] Through the above specific embodiments, Simulink and Simplorer can be seamlessly connected and interact with data in real time, which makes it possible to jointly simulate the doubly-fed wind turbine. Through real-time interactive data signals, the accuracy and real-time nature of the data during the simulation can be ensured, thereby improving the accuracy and reliability of the simulation. Through joint simulation, the control strategy of the doubly-fed wind turbine can be more conveniently verified and optimized, improving the operating efficiency and stability of the unit. Joint simulation can reduce the failure rate and number of iterations in actual testing, reduce R&D costs, and shorten the product development cycle.

[0129] According to the above embodiment, in a specific embodiment, the short-circuit condition and short-circuit time of the main circuit of the double-fed system are set in Simplorer, including:

[0130] Select the short-circuit point on the grid side, stator side or rotor side of the main circuit;

[0131] Simulate short-circuit conditions according to short-circuit points;

[0132] The step time of the control signal is modified to simulate the short-circuit time, wherein the control signal is a time-controllable step signal.

[0133] Open the model of the main circuit of the doubly fed system in Simplorer. According to the simulation requirements, select one or more short-circuit points on the grid side, stator side, or rotor side of the main circuit. These short-circuit points can be any nodes in the circuit, but usually those locations that have a greater impact on the system are selected, such as the grid connection point, the output end of the stator or rotor winding, etc.

[0134] At the selected short-circuit point, use the short-circuit components (such as short-circuit switches, short-circuit resistors, etc.) provided by Simplorer to simulate the short-circuit condition. Set the parameters of the short-circuit components, such as the resistance value of the short-circuit resistor and the closing time of the short-circuit switch, to ensure that the simulation of the short-circuit condition meets the actual requirements.

[0135] Figure 3 A schematic diagram of a single-phase short circuit, a two-phase short circuit, and a three-phase short circuit model provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, a short-circuit point is selected in the main circuit, a controllable grounding switch is added, and the control signal is a time-controllable step signal.

[0136] In Simulink, find the control signal used to control the occurrence of short circuit. This control signal is usually a time-controlled step signal that can change in step at a specified time point to trigger the short circuit condition. Modify the step time of the control signal according to the simulation requirements. This step time should be consistent with the expected short circuit occurrence time. In Simulink, you can set the parameters of the step signal (such as start time, step value, etc.) to achieve precise control of the short circuit time.

[0137] Ensure that the modified control signal can be transmitted to Simplorer in real time and accurately. This is usually achieved through the data exchange interface between Simulink and Simplorer. In Simplorer, monitor the received control signal to ensure that its changes are consistent with the settings in Simulink. After completing the above settings, run the simulation and observe the time when the short-circuit condition occurs. Verify that the short-circuit time is set correctly by comparing the simulation results with the expected results. If necessary, adjust the step time or other related parameters of the control signal to optimize the simulation effect.

[0138] Through the above specific embodiments, by accurately setting the short-circuit point and short-circuit time, the behavior of the main circuit of the doubly fed system under short-circuit conditions can be more accurately simulated, thereby improving the accuracy of the simulation. By adjusting the step time of the control signal, the occurrence time of the short-circuit condition can be flexibly controlled to meet different simulation requirements. By simulating the short-circuit condition and observing the system response, strong support can be provided for the design and optimization of the doubly fed system, and the reliability and stability of the system can be improved. By simulating the short-circuit condition, the failure rate and damage risk in the actual experiment can be reduced, and the experimental cost and time cost can be reduced.

[0139] According to the above embodiment, in a specific embodiment, controlling the joint simulation operation of Maxwell, Simplorer, and Simulink includes:

[0140] Set the same simulation step size and simulation time for Maxwell, Simplorer, and Simulink;

[0141] Start the joint simulation and monitor the simulation process in real time;

[0142] Correspondingly, obtain the short-circuit current simulation results, including:

[0143] The running results in Simulink are obtained as short-circuit current simulation results.

[0144] In Maxwell, Simplorer, and Simulink, set the step size and total simulation time of the control system simulation to match each other. Ensure that the three software can run synchronously during joint simulation to avoid simulation errors caused by inconsistent time steps or simulation times.

[0145] In Simulink, start the co-simulation mode, usually this can be achieved through the "Code Generation" or "Co-Simulation" option in the "Model Configuration Parameters" settings of Simulink. Make sure the data exchange interface between Maxwell, Simplorer and Simulink has been correctly configured to pass data in real time during the simulation. Click the "Run" button in Simulink to start the co-simulation.

[0146] During the joint simulation, the simulation progress and changes in key variables are monitored in real time through the interfaces of Simulink, Simplorer, and Maxwell.

[0147] After the co-simulation is finished, export the short-circuit current simulation results from Simulink. This can be achieved by viewing the waveform in the scope, extracting the data array from the workspace, or exporting it as a text / CSV file. Post-process and analyze the obtained short-circuit current simulation results, such as calculating the peak current, short-circuit duration, current waveform characteristics, etc.

[0148] Compare the simulation results with theoretical calculations or actual experimental results to verify the accuracy and reliability of the simulation results. If necessary, adjust the simulation model or parameters and re-run the joint simulation to obtain more accurate results.

[0149] FIG4 (a) is a schematic diagram of a simulation of a three-phase short-circuit torque provided in an embodiment of the present application. The ordinate represents torque in kilonewton-meters (kN·M), and the abscissa represents time in seconds (s). The curve represents the torque response result under the three-phase short-circuit condition on the stator side.

[0150] FIG4 (b) is a simulation diagram of a stator three-phase short-circuit current provided in an embodiment of the present application, wherein the ordinate Y1 represents the current magnitude in kiloamperes (KA), and the abscissa represents the time in seconds (s); the three-color curves respectively represent the three-phase short-circuit current of the stator under the three-phase short-circuit condition on the stator side.

[0151] FIG4 (c) is a simulation diagram of a rotor three-phase short-circuit current provided in an embodiment of the present application, wherein the vertical axis Y2 represents the current magnitude in kiloamperes (KA), and the horizontal axis represents the time in seconds (s); the three-color curves respectively represent the three-phase short-circuit current of the rotor under the three-phase short-circuit condition on the stator side.

[0152] Through joint simulation, the interaction between electromagnetic fields, circuits and control systems is comprehensively considered to improve the accuracy and credibility of simulation results. Joint simulation can fully simulate the behavior of the main circuit of the double-fed system under short-circuit conditions, including electromagnetic field changes, circuit responses and control system actions, providing strong support for system design and optimization. By real-time monitoring of the simulation process and automatic acquisition of results, the simulation efficiency can be greatly improved and the product development cycle can be shortened. By simulating short-circuit conditions, the failure rate and damage risk in actual experiments can be reduced, and the experimental cost and time cost can be reduced. At the same time, the simulation results can also provide guidance and reference for the experiment, improving the success rate and efficiency of the experiment.

[0153] In the above embodiments, the short-circuit current analysis method of the doubly-fed wind turbine is described in detail, and the present application also provides an embodiment corresponding to the short-circuit current analysis device of the doubly-fed wind turbine. It should be noted that the present application describes the embodiments of the device part from two perspectives, one is based on the functional module perspective, and the other is based on the hardware perspective.

[0154] From the perspective of functional modules, Figure 5 A structural diagram of a short-circuit current analysis device for a doubly-fed wind turbine generator system provided in an embodiment of the present application, such as Figure 5 As shown, a short-circuit current analysis device for a doubly-fed wind turbine generator system comprises:

[0155] An acquisition module 21 is used to acquire a motor body model of a high-voltage double-fed wind turbine generator set established in Maxwell, a main circuit of a double-fed system established in Simplorer, and a control model of a double-fed system converter established in Simulink;

[0156] An import module 22 is used to import the motor body model into Simplorer;

[0157] Interaction module 23, used to establish the connection between Simulink and Simplorer and exchange data signals;

[0158] A short circuit setting module 24 is used to set the short circuit condition and short circuit time of the main circuit of the double-fed system in Simplorer;

[0159] The simulation module 25 is used to control the joint simulation operation of Maxwell, Simplorer and Simulink;

[0160] The result output module 26 is used to obtain the short-circuit current simulation result.

[0161] Since the embodiments of the apparatus part correspond to the embodiments of the method part, please refer to the description of the embodiments of the method part for the embodiments of the apparatus part, which will not be repeated here.

[0162] Figure 6 A structural diagram of another short-circuit current analysis device for a doubly-fed wind turbine generator system provided in an embodiment of the present application, such as Figure 6 As shown, the short-circuit current analysis device for a doubly-fed wind turbine generator set comprises: a memory 30 for storing a computer program;

[0163] The processor 31 is used to implement the steps of the method for obtaining user operation habit information in the above embodiment (short-circuit current analysis method of a doubly-fed wind turbine generator set) when executing a computer program.

[0164] The short-circuit current analysis device for the doubly-fed wind turbine provided in this embodiment may include but is not limited to a smart phone, a tablet computer, a laptop computer or a desktop computer.

[0165] Among them, the processor 31 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 31 may be implemented in at least one hardware form of a digital signal processor (DSP), a field-programmable gate array (FPGA), and a programmable logic array (PLA). The processor 31 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a central processing unit (CPU); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 31 may be integrated with a graphics processing unit (GPU), and the GPU is responsible for rendering and drawing the content to be displayed on the display screen. In some embodiments, the processor 31 may also include an artificial intelligence (AI) processor, which is used to process computing operations related to machine learning.

[0166] The memory 30 may include one or more computer-readable storage media, which may be non-transitory. The memory 30 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In this embodiment, the memory 30 is at least used to store the following computer program 301, wherein, after the computer program is loaded and executed by the processor 31, it can implement the relevant steps of the short-circuit current analysis method of the doubly fed wind turbine disclosed in any of the aforementioned embodiments. In addition, the resources stored in the memory 30 may also include an operating system 302 and data 303, etc., and the storage method may be temporary storage or permanent storage. Among them, the operating system 302 may include Windows, Unix, Linux, etc. Data 303 may include but is not limited to data involved in implementing the short-circuit current analysis method of the doubly fed wind turbine.

[0167] In some embodiments, the short-circuit current analysis device for a doubly-fed wind turbine generator set may further include a display screen 32 , an input / output interface 33 , a communication interface 34 , a power supply 35 , and a communication bus 36 .

[0168] Those skilled in the art will understand that Figure 6 The structure shown in the figure does not constitute a limitation on the short-circuit current analysis device for a doubly-fed wind turbine generator set, and may include more or fewer components than those shown in the figure.

[0169] The doubly-fed wind turbine short-circuit current analysis device provided in the embodiment of the present application includes a memory and a processor. When the processor executes the program stored in the memory, it can implement the following method: doubly-fed wind turbine short-circuit current analysis method.

[0170] Finally, the present application also provides an embodiment corresponding to a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps described in the embodiment of the short-circuit current analysis method for a doubly-fed wind turbine generator set are implemented.

[0171] It is understandable that if the method in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0172] The computer-readable storage medium provided in this embodiment stores a computer program, and when a processor executes the program, the following method can be implemented: a short-circuit current analysis method for a doubly-fed wind turbine generator set.

[0173] The above is a detailed introduction to the short-circuit current analysis method, device and medium for the doubly-fed wind turbine provided by the present application. The various embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the embodiments can be referenced to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description. It should be pointed out that for ordinary technicians in this technical field, without departing from the principles of the present application, several improvements and modifications can be made to the present application, and these improvements and modifications also fall within the scope of protection of the claims of the present application.

[0174] It should also be noted that, in this specification, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

Claims

1. A method for analyzing short-circuit current of a doubly-fed wind turbine generator system, characterized in that: include: Obtain the motor body model of the high-voltage doubly-fed wind turbine set established in Maxwell, the main circuit of the doubly-fed system built in Simplorer, and the control model of the doubly-fed system converter established in Simulink; Importing the motor body model into the Simplorer; Establishing a connection between the Simulink and the Simplorer and exchanging data signals; Setting the short-circuit condition and short-circuit time of the main circuit of the double-fed system in the Simplorer; Controlling the Maxwell, Simplorer, and Simulink joint simulation to run; Get the short-circuit current simulation results.

2. The method for analyzing short-circuit current of a doubly-fed wind turbine generator set according to claim 1, characterized in that: The motor body model of the high-voltage double-fed wind turbine is established in Maxwell, including: Import the geometric model of the high-voltage doubly-fed wind turbine into Maxwell; Set preset material parameters, winding excitation, boundary conditions, and meshing conditions; Set the analysis conditions according to the preset simulation time and preset step size.

3. The short-circuit current analysis method of a doubly-fed wind turbine generator set according to claim 1, characterized in that: Build the main circuit of the double-fed system in Simplorer, including: According to the preset grid model parameters, build the main circuit of the double-fed system including the grid, stator-side line, rotor-side line and converter in Simplorer; Add the control signal of the converter.

4. The method for analyzing short-circuit current of a doubly-fed wind turbine generator set according to claim 1, characterized in that: The control model of the double-fed system converter includes a stator-side PWM control module and a rotor-side PWM control module; Among them, the control strategies of the control model of the doubly-fed system converter include: stator power factor control strategy and MPPT control strategy.

5. The method for analyzing short-circuit current of a doubly-fed wind turbine generator set according to claim 1, characterized in that: Establishing a connection between the Simulink and the Simplorer and exchanging data signals, including: Configure the Ansys path in Matlab and the Matlab path in Simplorer; The converter control signal of the Simulink and the voltage and current signals of the Simplorer are interacted in real time.

6. The method for analyzing short-circuit current of a doubly-fed wind turbine generator set according to claim 5, characterized in that: Setting the short-circuit condition and short-circuit time of the main circuit of the double-fed system in the Simplorer includes: Select the short-circuit point on the grid side, stator side or rotor side of the main circuit; Simulating a short-circuit condition according to the short-circuit point; The step time of the control signal is modified to simulate the short circuit time, wherein the control signal is a time-controllable step signal.

7. The method for analyzing short-circuit current of a doubly-fed wind turbine generator set according to claim 6, characterized in that: Controlling the Maxwell, Simplorer, and Simulink joint simulation to run, including: Set the same simulation step size and simulation time for the Maxwell, Simplorer, and Simulink; Start the joint simulation and monitor the simulation process in real time; Correspondingly, the obtaining of the short-circuit current simulation result includes: The operation result in the Simulink is obtained as a short-circuit current simulation result.

8. A short-circuit current analysis device for a doubly-fed wind turbine generator set, characterized in that: include: The acquisition module is used to obtain the motor body model of the high-voltage double-fed wind turbine set established in Maxwell, the main circuit of the double-fed system built in Simplorer, and the control model of the double-fed system converter established in Simulink; An import module, used for importing the motor body model into the Simplorer; An interaction module, used for establishing a connection between the Simulink and the Simplorer and exchanging data signals; A short-circuit setting module, used to set the short-circuit condition and short-circuit time of the main circuit of the double-fed system in the Simplorer; A simulation module, used for controlling the joint simulation operation of the Maxwell, Simplorer and Simulink; The result output module is used to obtain the short-circuit current simulation results.

9. A short-circuit current analysis device for a doubly-fed wind turbine generator set, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of the short-circuit current analysis method of a doubly-fed wind turbine set as claimed in any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the short-circuit current analysis method for a doubly-fed wind turbine generator set are implemented as claimed in any one of claims 1 to 7.

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