Wind power converter operation parameter extraction method, system and device for IGBT service life evaluation and medium
By using the double-feed wind turbine model and table-review interpolation method, the key parameters of the IGBT module in the wind power converter are extracted, and the problems of large calculation amount and junction temperature calculation deviation in the prior art are solved, and a more accurate prediction of the IGBT module life is achieved.
Patent Information
- Application Number
- CN202510183380.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-19
- Publication Date
- 2025-06-13
AI Technical Summary
When predicting the lifespan of IGBT modules, the prior art has large calculation volume, high complexity, and large deviations in the junction temperature calculation, which affects the accuracy of life prediction.
By taking the wind speed data collected by the wind field SCADA system as input, the actual working conditions are simulated using the pre-constructed double-feed wind turbine model, the collector voltage and current data of the IGBT in the machine-side converter are obtained, and the junction temperature of the IGBT module is calculated based on the lookup table and interpolation method, and its life is evaluated.
This method can more accurately extract key parameters in the wind power converter, reduce calculation complexity, improve the accuracy of life prediction, and conform to the life of the IGBT under actual conditions.
Smart Images

Figure CN120145647A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a method, system, device and medium for extracting operating parameters of a wind power converter for IGBT life assessment, belonging to the field of power electronic converter control systems. Background Art
[0002] In the past few decades, with the increasing share of wind power in the power grid, the reliability and economy of wind energy production have become increasingly important. Due to its mature industrial chain and low cost, DFIG (doubly-fed wind turbine) is an attractive alternative megawatt-level power system for wind turbines. As a key component of the electrical system, the power converter has high costs and high failure rates due to the failure of power components. Therefore, accurately predicting the life of the IGBT module in the power converter is of great significance for improving the reliability of wind turbines and reducing the operation and maintenance costs of enterprises.
[0003] Most of the operating conditions considered in the prior art for IGBT module life prediction obtain the junction temperature by using formula calculation based on the rated condition or the maximum compliance condition. However, the operating conditions of wind power converters are completely different from those of industrial converters. It is necessary to consider the actual operating conditions and adopt a more simple, efficient and accurate IGBT power loss calculation method in order to accurately predict the IGBT module life finally. In an actual wind turbine, the IGBT module is encapsulated in the converter and cannot be frequently removed to evaluate its life. Therefore, the method of relying on simulation software to simulate its actual operating conditions to analyze and obtain the life of the IGBT in the converter has become a commonly used method in the industry. Therefore, the design of the software and the accuracy of the method are also crucial for the actual life of the IGBT. Based on the actual operating conditions of the wind turbine, which are closer to the life situation of the IGBT, how to extract the key parameters of the converter operating under the actual operating conditions and accurately extract the change of the IGBT junction temperature is a key problem for accurately predicting the IGBT life. The existing technical solutions and their technical disadvantages are as follows.
[0004] Figure 1 It is an online calculation method for the IGBT module junction temperature of a wind power converter. This method considers the real-time operating parameters of the wind power converter based on the switching period, obtains parameters such as the switching frequency, the current-side voltage, and the instantaneous current conduction duty ratio of the inverter output, and based on the output characteristic curve, transfer characteristic curve and loss curve at two temperatures given in the data manual, uses the IGBT power loss calculation formula to obtain the switching loss and conduction loss of the IGBT, and finally obtains the junction temperature of the IGBT module by using the thermal network model provided by the manufacturer.
[0005] However, when calculating the switching loss and conduction loss of the IGBT module, the above method obtains a variety of wind power converter operating parameters for formula calculation, and the operating conditions of the converter during actual operation are complex and changeable (converting under different working conditions of rectification and inversion). The use of mathematical formulas for calculation requires constant judgment of the working conditions of the converter. Therefore, when performing loss calculation, this method has a large amount of calculation and high complexity. In addition, when calculating the formula of this method, the saturation voltage drop and on-state resistance only include two temperature conditions, and the parameter values under other temperature conditions can only refer to the values under only two conditions. Therefore, the small number of reference values will cause the final junction temperature to deviate greatly from the actual junction temperature, which will ultimately affect the life prediction results of the module.
[0006] Figure 2 In order to take into account the multi-scale wind power IGBT reliability assessment flow chart of fatigue damage, the influencing factors of IGBT are classified into two categories, one is the short-term time scale and the other is the long-term time scale. First, the IGBT module electrothermal coupling model is established to obtain the junction temperature data and form a database. Under the short-term time scale profile, the junction temperature data is output in real time through the electrothermal coupling model based on the SCADA monitoring data, and the real-time thermal stress cycle number is calculated; under the long-term time scale profile, the wind speed probability distribution curve is obtained based on the wind turbine SCADA monitoring data; the maximum number of thermal stress cycles that the IGBT can withstand at different aging stages is obtained in advance by combining the Bayerer life prediction model and the steady-state database, and then the cumulative damage degree and estimated life of the wind power converter IGBT are calculated.
[0007] However, when this method uses the wind speed in the SCADA data, it obtains the Weibull distribution curve, but it does not perform a corresponding analysis of the ambient temperature, which will cause the junction temperature obtained by the electro-thermal model to be inconsistent with the junction temperature of the IGBT module in the wind power converter during actual operation of the wind turbine, affecting the accuracy of the final IGBT life prediction results; in addition, before calculating the number of thermal stress cycles under different time scale profiles, this method must first establish an electro-thermal coupling model based on the wind power converter topology to obtain a steady-state junction temperature database of IGBTs under different damage degrees, and then calculate the IGBT damage degree and estimated life under short-term and long-term time scale profiles. Moreover, the damage degree must be calculated once for each cycle under the long-term time scale profile, which increases the complexity of the model calculation and reduces the calculation efficiency. Summary of the invention
[0008] In view of the above problems, the purpose of the present invention is to provide a method, system, device and medium for extracting wind power converter operating parameters for IGBT life assessment, which extracts relevant parameters to estimate IGBT losses based on the actual operating conditions of the wind turbine, thereby performing life assessment on the IGBT module.
[0009] To achieve the above object, the present invention adopts the following technical solutions:
[0010] In a first aspect, the present invention provides a method for extracting operating parameters of a wind power converter for IGBT life assessment, including the following steps:
[0011] Taking the wind speed data collected by the wind farm SCADA system as input, using a pre-constructed doubly-fed wind turbine model to simulate the actual operating conditions of the doubly-fed wind turbine under preset conditions, and obtaining simulated operating data;
[0012] Based on the simulated operating data, using the machine-side converter model to obtain the collector voltage and current data of the IGBT in the machine-side converter under actual operating conditions;
[0013] Based on the collector voltage and current data of the IGBT in the machine-side converter under actual operating conditions, using the look-up table and interpolation method to obtain the junction temperature of the IGBT module and evaluate the life of the IGBT module.
[0014] Further, the step of taking the wind speed data collected by the wind farm SCADA system as input, using a pre-constructed doubly-fed wind turbine model to simulate the actual operating conditions of the doubly-fed wind turbine under preset conditions, and obtaining simulated operating data includes:
[0015] Establishing a doubly-fed wind turbine model;
[0016] Setting the parameters of the doubly-fed wind turbine model according to the fan parameters of the wind farm where the IGBT module to be evaluated is located;
[0017] Taking the wind speed data collected by the wind farm SCADA system as the input of the doubly-fed wind turbine model, and according to the fluctuation of the wind speed, the doubly-fed wind turbine model simulates the real operating conditions under preset conditions to obtain simulated operating data.
[0018] Further, the doubly-fed wind turbine model includes a wind turbine generator model, a machine-side converter model and a grid-side converter model;
[0019] The wind turbine generator model includes a wind turbine, a gearbox, a doubly-fed induction generator, a three-phase power transformer and a power grid; the wind turbine is mechanically connected to the doubly-fed induction generator through the gearbox, the stator of the doubly-fed induction generator is connected to the power grid bus through the three-phase power transformer, and the rotor circuit of the doubly-fed induction generator is connected to one side of the machine-side converter model;
[0020] The grid-side converter model is arranged back-to-back with the machine-side converter model, and the machine-side converter and the grid-side converter are connected to a common DC bus, and are respectively controlled by a machine-side converter control module and a grid-side converter control module.
[0021] Further, the fan parameters at least include rated power, rated line voltage, rated frequency, rated speed, power factor, synchronous speed point wind speed, constant speed area starting point wind speed, constant power area starting point wind speed, cut-out wind speed, converter DC side bus voltage, DC side bus capacitor, grid-side coupling inductor, switching frequency, and control mode.
[0022] Further, based on the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions, the junction temperature of the IGBT module is obtained by using the look-up table and interpolation method, and the life of the IGBT module is evaluated, including:
[0023] Based on the voltage and current flowing through the IGBT under actual working conditions, the turn-on loss and turn-off loss of the IGBT are obtained by using the look-up table and interpolation method;
[0024] Using the thermal impedance parameters provided by the manufacturer to establish a thermal network model based on the Foster network to calculate the junction temperature of the IGBT;
[0025] Based on the IGBT junction temperature, the damage degree of the IGBT module under this operating condition is calculated, and then the life of the IGBT module is obtained.
[0026] Further, the damage degree of the IGBT module is expressed as:
[0027]
[0028] where n i is the number of cycles of a certain temperature fluctuation in rain flow statistics, N f is the theoretical failure cycle number corresponding to different temperature fluctuations, and D is the damage degree.
[0029] In a second aspect, the present invention provides a wind power converter operation parameter extraction system for IGBT life evaluation, including:
[0030] A doubly-fed wind turbine parameter extraction module, which is used to take the wind speed data collected by the wind farm SCADA system as input, simulate the actual working conditions of the doubly-fed wind turbine under preset conditions by using a pre-constructed doubly-fed wind turbine model, and obtain simulated operation data;
[0031] A converter parameter extraction module, which is used to obtain the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions based on the simulated operation data by using the machine-side converter model;
[0032] A life evaluation module, which is used to obtain the junction temperature of the IGBT module by using the look-up table and interpolation method based on the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions, and evaluate the life of the IGBT module.
[0033] Further, the double-fed wind turbine parameter extraction module includes:
[0034] A model establishment module for establishing a double-fed wind turbine model;
[0035] A parameter setting module for setting the parameters of the double-fed wind turbine model according to the fan parameters of the wind farm where the IGBT module to be evaluated is located;
[0036] A model simulation module for using the wind speed data collected by the wind farm SCADA system as the input of the double-fed wind turbine model. According to the fluctuation of the wind speed, the double-fed wind turbine model simulates the actual operating conditions under preset conditions to obtain simulated operating data.
[0037] In a third aspect, the present invention provides a computer-readable storage medium storing one or more programs, where the one or more programs include instructions that, when executed by a computing device, cause the computing device to execute any of the methods.
[0038] In a fourth aspect, the present invention provides a computing device, including: one or more processors and a memory. The memory stores one or more programs and is configured to be executed by the one or more processors. The one or more programs include instructions for executing any of the methods.
[0039] Due to the above technical solutions adopted by the present invention, it has the following advantages: The method for extracting the operating parameters of a wind power converter for IGBT life assessment proposed by the present invention uses the key parameters in the wind power converter after actual operation as known conditions, and designs the condition changes on the machine-side converter side, so that the finally predicted IGBT life can better conform to its actual operating life.
[0040] Therefore, the present invention can be widely applied to the field of power electronic converter control systems. Description of the Drawings
[0041] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:
[0042] Figure 1 is the flow chart of the online calculation method for the junction temperature of the IGBT module of the wind power converter in the prior art one;
[0043] Figure 2 is the flow chart of the multi-scale wind power IGBT reliability assessment considering fatigue damage in the prior art two;
[0044] Figure 3 It is a flowchart of the method for extracting the operating parameters of a wind power converter for IGBT life assessment provided by an embodiment of the present invention;
[0045] Figure 4 It is a structure diagram of a doubly-fed wind turbine provided by an embodiment of the present invention;
[0046] Figure 5 It is a topology structure of the machine-side converter provided by an embodiment of the present invention;
[0047] Figure 6 It is the IGBT turn-on loss under the corresponding collector current and collector voltage provided by an embodiment of the present invention;
[0048] Figure 7 It is the IGBT turn-on loss under the corresponding collector current and collector voltage provided by an embodiment of the present invention;
[0049] Figure 8 It is a Foster thermal network structure diagram provided by an embodiment of the present invention. Detailed implementation manners
[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are some, rather than all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the described embodiments of the present invention fall within the scope of protection of the present invention.
[0051] It should be noted that the terms used herein are only for describing specific implementation manners and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless otherwise clearly specified in the context, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.
[0052] First, the abbreviations, English, and key terms related to the present invention are defined as follows:
[0053] 1. Insulated Gate Bipolar Transistor (IGBT), insulated gate bipolar transistor
[0054] 2. Input Series Output Parallel (ISOP), input series output parallel / series-in parallel-out
[0055] 3. Proportion Integral (PI), proportional integral
[0056] 4. Analog-to-Digital (AD), Analog to Digital Conversion
[0057] 5. Pulse-Width Modulation (PWM), Pulse Width Modulation
[0058] In order to study the lifespan of IGBTs in wind power converters, it is necessary to make a prediction of the IGBT lifespan that conforms to the actual situation. Different from the inherent design, the traditional method realizes single or fewer operating conditions changes of wind turbines according to the wind speed change, uses the formula calculation method to obtain the junction temperature change of IGBTs, and then analyzes the IGBT lifespan.
[0059] In some embodiments of the present invention, a method for extracting operating parameters of a wind power converter based on IGBT lifespan evaluation is provided. After the wind turbine operates under actual operating conditions, this method extracts the key parameters of the machine-side converter after actual operation, applies the extracted key parameters to the single machine-side converter model, and then combines the losses corresponding to the collector current and collector-emitter voltage under different temperature gradients provided by the manufacturer. Using the method of looking up tables and linear interpolation to obtain the junction temperature change of IGBTs, and finally achieving a result that is more in line with the lifespan of IGBTs when operating in the actual situation.
[0060] Correspondingly, in some other embodiments of the present invention, a system, device, and medium for extracting operating parameters of a wind power converter for IGBT lifespan evaluation are provided.
[0061] Embodiment 1
[0062] As Figure 3 shown, the present invention provides a method for extracting operating parameters of a wind power converter for IGBT lifespan evaluation. Based on the actual operating conditions of the wind turbine, this method extracts relevant parameters to estimate the IGBT losses, thereby evaluating the lifespan of the IGBT module.
[0063] Specifically, it includes the following steps:
[0064] 1) Taking the wind speed data collected by the wind farm SCADA system as input, using the pre-constructed double-fed wind turbine model to simulate the actual operating conditions of the double-fed wind turbine under preset conditions, and obtaining the simulated operation data;
[0065] 2) Based on the simulated operation data, using the machine-side converter model to obtain the collector voltage and current data of the IGBT in the machine-side converter under actual operating conditions;
[0066] 3) Based on the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions, the junction temperature of the IGBT module is obtained by using the look-up table and interpolation methods, and the life of the IGBT module is evaluated.
[0067] Furthermore, in the above step 1), to accurately predict the life of the IGBT module in the converter, it is necessary to restore its working conditions during actual operation. Therefore, a doubly-fed wind turbine model needs to be built first to simulate the real operating conditions of the doubly-fed wind turbine.
[0068] Specifically, it includes the following steps:
[0069] 1.1) Establish a doubly-fed wind turbine model.
[0070] As Figure 4 shown, the doubly-fed wind turbine model established in this embodiment includes a wind turbine generator model, a machine-side converter model and a grid-side converter model. Specifically, the wind turbine is mechanically connected to the doubly-fed induction generator through a gearbox. The wind turbine generator model includes a wind turbine, a gearbox, a doubly-fed induction generator (DFIG), a three-phase power transformer and a power grid. Among them, the stator of the doubly-fed induction generator is connected to the grid bus through a three-phase power transformer. The rotor circuit of the doubly-fed induction generator is connected to one side of the machine-side converter model. The grid-side converter model is set back-to-back with the machine-side converter model, and the machine-side converter and the grid-side converter are connected to a common DC bus, and they are respectively controlled by a machine-side converter control module and a grid-side converter control module. The flow direction of these converter currents depends on the operating speed of the doubly-fed wind turbine. Under normal operation and disturbance conditions, the operating state of the doubly-fed wind turbine is mainly determined by the actions of the back-to-back converter and its control module. The doubly-fed wind turbine unit obtains wind energy from nature through the impeller of the wind turbine, converts the wind energy into mechanical torque, and then acts on the induction generator through the transmission system to increase the speed of the induction generator and reach the corresponding speed, prompting the generator to generate electricity, and finally sending the generated electric energy into the power grid.
[0071] 1.2) Set the parameters of the doubly-fed wind turbine model according to the fan parameters of the wind farm where the IGBT module to be evaluated is located.
[0072] In this embodiment, the fan parameters mainly include rated power, rated line voltage, rated frequency, rated speed, power factor, synchronous speed point wind speed, constant speed area starting point wind speed, constant power area starting point wind speed, cut-out wind speed, converter DC side bus voltage, DC side bus capacitor, grid-side coupling inductor, switching frequency and control mode, etc.
[0073] 1.3) Use the wind speed data collected by the wind farm SCADA system as the input of the doubly-fed wind turbine model. According to the fluctuation of the wind speed, the doubly-fed wind turbine model simulates the real operating conditions under preset conditions, so as to obtain the simulated operating data, including the output power of the corresponding generator, as well as the AC side voltage, DC side voltage, IGBT drive signal, etc. of the converter.
[0074] Furthermore, in the above step 2), in the doubly-fed wind turbine model, the machine-side converter, grid-side converter, and wind turbine model are coupled together, and it is difficult to obtain the junction temperature of the IGBT in the machine-side converter alone. Therefore, it is necessary to model the machine-side converter separately in the same file.
[0075] As Figure 5 shown, it is the topology structure of the machine-side converter established in this embodiment. In this machine-side converter, it includes three-phase bridge arms, and the midpoints of each phase bridge arm are respectively led out and connected to the corresponding doubly-fed induction generator. When the machine-side converter is operating normally, there are a total of three groups of bridge arms, namely T1 and T2, T3 and T4, T5 and T6. There are two switches on each group of bridge arms, and each group of bridge arms has two switch states, that is, when the upper bridge arm is turned on, the lower bridge arm is turned off, and when the upper bridge arm is turned off, the upper bridge arm is turned on. By controlling the turning on and off of the bridge arms, the machine-side converter can be in the inverter or rectifier state, realizing the bidirectional flow of energy.
[0076] Based on the topology structure of the machine-side converter, and then use the drive signal, AC side voltage, DC side voltage, etc. of the IGBT of the machine-side wind power converter in the doubly-fed wind turbine model to establish a machine-side converter model, so that the doubly-fed wind turbine model and the newly established machine-side converter model can run in the same file. In this way, it can not only simulate the real operating conditions of the doubly-fed wind turbine, but also accurately obtain the collector voltage drop and collector current flowing through the IGBT in the machine-side converter under actual conditions.
[0077] Furthermore, in the above step 3), based on the collector voltage and current data of the IGBT in the machine-side converter under actual conditions, use the look-up table and interpolation method to obtain the junction temperature of the IGBT module, and evaluate the life of the IGBT module, including the following steps:
[0078] 3.1) Based on the voltage and current flowing through the IGBT under actual conditions, use the look-up table and interpolation method to obtain the turn-on loss and turn-off loss of the IGBT.
[0079] After obtaining the voltage and current flowing through the IGBT under actual conditions, the next step is to calculate the junction temperature of the IGBT, and then realize the life prediction of the IGBT. Since the manufacturer of the IGBT module will obtain all the test data of the product before leaving the factory, which includes the turn-on loss and turn-off loss of the IGBT under the corresponding collector current and collector voltage at different temperature gradients, such asFigure 6 and Figure 7 As shown, it is thus more time-saving to calculate the loss by using these data through the method of looking up tables and interpolation.
[0080] 3.2) Establish a thermal network model based on the Foster network by using the thermal impedance parameters provided by the manufacturer to calculate the IGBT junction temperature.
[0081] As Figure 8 shown, it is the Foster network model structure established in this embodiment. This model structure can adopt the well-known technology of those skilled in the art, and the present invention will not elaborate on this.
[0082] 3.3) Based on the IGBT junction temperature, calculate the damage degree of the IGBT module under this operating condition, and then obtain the life of the IGBT module.
[0083] After obtaining the IGBT junction temperature, the number of cycles corresponding to different temperature fluctuations can be obtained by using the rainflow counting method and the life model. Then, the damage degree of the IGBT module under this operating condition can be obtained by using the Miner linear cumulative damage theory:
[0084]
[0085] where n i is the number of cycles of a certain temperature fluctuation counted by rainflow, N f is the theoretical failure cycle number corresponding to different temperature fluctuations, and D is the damage degree. When D = 1, the IGBT is damaged.
[0086] Embodiment 2
[0087] The above Embodiment 1 provides a method for extracting the operating parameters of a wind power converter for IGBT life assessment. Correspondingly, this embodiment provides a system for extracting the operating parameters of a wind power converter for IGBT life assessment. The system provided in this embodiment can implement the method for extracting the operating parameters of a wind power converter for IGBT life assessment in Embodiment 1, and this system can be implemented in a software, hardware, or software-hardware combination manner. For example, this system can include integrated or separate functional modules or functional units to execute the corresponding steps in each method of Embodiment 1. Since the system in this embodiment is basically similar to the method embodiment, the description process in this embodiment is relatively simple. For related parts, reference can be made to the partial description of Embodiment 1. The embodiments of the system provided in this embodiment are only illustrative.
[0088] The system for extracting the operating parameters of a wind power converter for IGBT life assessment provided in this embodiment includes:
[0089] The doubly-fed wind turbine parameter extraction module is used to take the wind speed data collected by the wind farm SCADA system as input, simulate the actual working conditions of the doubly-fed wind turbine under preset conditions by using a pre-constructed doubly-fed wind turbine model, and obtain simulated operation data;
[0090] The converter parameter extraction module is used to obtain the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions based on the simulated operation data by using a machine-side converter model;
[0091] The life evaluation module is used to obtain the junction temperature of the IGBT module by using the look-up table and interpolation method based on the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions, and evaluate the life of the IGBT module.
[0092] Embodiment 3
[0093] This embodiment provides a processing device corresponding to the method for extracting operating parameters of a wind power converter for IGBT life evaluation provided in Embodiment 1. The processing device can be a processing device for a client, such as a mobile phone, a laptop computer, a tablet computer, a desktop computer, etc., to execute the method of Embodiment 1.
[0094] The processing device includes a processor, a memory, a communication interface and a bus. The processor, the memory and the communication interface are connected through the bus to complete communication with each other. A computer program that can run on the processor is stored in the memory. When the processor runs the computer program, it executes the method for extracting operating parameters of a wind power converter for IGBT life evaluation provided in Embodiment 1 of this embodiment.
[0095] Preferably, the memory can be a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory.
[0096] Preferably, the processor can be a general-purpose processor of various types such as a central processing unit (CPU) and a digital signal processor (DSP), which is not limited here.
[0097] Embodiment 4
[0098] The method for extracting operating parameters of a wind power converter for IGBT life evaluation in Embodiment 1 of this embodiment can be specifically implemented as a computer program product. The computer program product can include a computer-readable storage medium, on which computer-readable program instructions for executing the method for extracting operating parameters of a wind power converter for IGBT life evaluation described in Embodiment 1 of this embodiment are uploaded.
[0099] A computer-readable storage medium can be a tangible device that retains and stores instructions for use by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any combination of the foregoing.
[0100] Those skilled in the art will appreciate that embodiments of the present invention may be provided as a method, a system, or a computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.
[0101] The present invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowchart illustrations and / or block diagrams, and combinations of flows and / or blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, a special purpose computer, an embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processor of the computer or other programmable data processing device create means for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.
[0102] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.
[0103] These computer program instructions may also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in Figure 1 one or more of the flows Figure 1 or blocks or combinations of blocks.
[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent substitutions can still be made to the specific embodiments of the present invention, and any modification or equivalent substitution that does not depart from the spirit and scope of the present invention should be covered by the protection scope of the claims of the present invention.
Claims
1. A method for extracting operating parameters of a wind power converter for IGBT life assessment, characterized in that: The following steps are involved: The wind speed data collected by the wind farm SCADA system is used as input, and the actual operating conditions of the doubly-fed wind turbine generator set under preset conditions are simulated using the pre-built doubly-fed wind turbine generator set model to obtain simulated operating data; Based on the simulated operation data, the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions are obtained using the machine-side converter model; Based on the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions, the junction temperature of the IGBT module is obtained by using table lookup and interpolation methods, and the life of the IGBT module is evaluated.
2. A method for extracting wind power converter operating parameters for IGBT life assessment according to claim 1, characterized in that: The wind speed data collected by the wind farm SCADA system is used as input, and the actual working conditions of the doubly-fed wind turbine generator set under preset conditions are simulated using a pre-built doubly-fed wind turbine generator set model to obtain simulated operation data, including: Establish a doubly-fed wind turbine model; The parameters of the doubly-fed wind turbine model are set according to the wind turbine parameters of the wind farm where the IGBT module to be evaluated is located; The wind speed data collected by the wind farm SCADA system is used as the input of the doubly-fed wind turbine model. According to the fluctuation of wind speed, the doubly-fed wind turbine model simulates the actual operating conditions under preset conditions to obtain simulated operating data.
3. A method for extracting wind power converter operating parameters for IGBT life assessment according to claim 2, characterized in that: The doubly-fed wind turbine model includes a wind turbine model, a machine-side converter model and a grid-side converter model; The wind turbine model includes a wind turbine, a gearbox, a doubly-fed asynchronous generator, a three-phase power transformer and a power grid; the wind turbine is mechanically connected to the doubly-fed asynchronous generator through a gearbox, the stator of the doubly-fed asynchronous generator is connected to a power grid bus through a three-phase power transformer, and the rotor circuit of the doubly-fed asynchronous generator is connected to one side of the machine-side converter model; The grid-side converter model and the generator-side converter model are arranged back-to-back, and the generator-side converter and the grid-side converter are connected to a common DC bus, and are controlled by a generator-side converter control module and a grid-side converter control module respectively.
4. A method for extracting wind power converter operating parameters for IGBT life assessment according to claim 3, characterized in that: The wind turbine parameters include at least rated power, rated line voltage, rated frequency, rated speed, power factor, synchronous speed point wind speed, constant speed area starting point wind speed, constant power area starting point wind speed, cut-out wind speed, converter DC side bus voltage, DC side bus capacitance, grid side coupling inductance, switching frequency and control method.
5. A method for extracting wind power converter operating parameters for IGBT life assessment according to claim 1, characterized in that: Based on the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions, the junction temperature of the IGBT module is obtained by using a table lookup and interpolation method, and the life of the IGBT module is evaluated, including: Based on the voltage and current flowing through the IGBT under actual working conditions, the turn-on loss and turn-off loss of the IGBT are obtained by using table lookup and interpolation methods. Use the thermal impedance parameters provided by the manufacturer to establish a thermal network model based on the Foster network to calculate the IGBT junction temperature; Based on the IGBT junction temperature, the damage degree of the IGBT module under this operating condition is calculated, and then the life of the IGBT module is obtained.
6. A method for extracting wind power converter operating parameters for IGBT life assessment according to claim 5, characterized in that: The damage degree of the IGBT module is expressed as: Among them, n i is the number of cycles of a certain temperature fluctuation in rain flow statistics, N f is the theoretical failure cycle number corresponding to different temperature fluctuations, and D is the damage degree.
7. A wind power converter operating parameter extraction system for IGBT life assessment, characterized in that: include: The doubly-fed wind turbine parameter extraction module is used to take the wind speed data collected by the wind farm SCADA system as input, and use the pre-built doubly-fed wind turbine model to simulate the actual working conditions of the doubly-fed wind turbine under preset conditions to obtain simulated operation data; A converter parameter extraction module is used to obtain the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions using the machine-side converter model based on the simulated operation data; The life assessment module is used to obtain the junction temperature of the IGBT module based on the collector voltage and current data of the IGBT in the machine-side converter under actual working conditions by using a table lookup and interpolation method, and to assess the life of the IGBT module.
8. A wind power converter operating parameter extraction system for IGBT life assessment according to claim 7, characterized in that: The doubly-fed wind turbine generator set parameter extraction module comprises: Model building module, used to build a doubly-fed wind turbine model; A parameter setting module, used to set the parameters of the doubly-fed wind turbine model according to the wind turbine parameters of the wind farm where the IGBT module to be evaluated is located; The model simulation module is used to use the wind speed data collected by the wind farm SCADA system as the input of the doubly-fed wind turbine model. According to the fluctuation of wind speed, the doubly-fed wind turbine model simulates the actual operating conditions under preset conditions to obtain simulated operating data.
9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform any one of the methods of claims 1 to 6.
10. A computing device, characterized in that include: One or more processors and a memory, wherein the memory stores one or more programs and is configured to be executed by the one or more processors, wherein the one or more programs include instructions for executing any one of the methods described in claims 1 to 6.
Citation Information
Patent Citations
Double-fed fan IGBT module thermal management method and device and storage medium
CN115076035A