Winding short-circuit performance evaluation method, device and equipment based on reactor model
Through simulation evaluation of the reactor model under short-circuit conditions, the radial bearing capacity of the winding is calculated, and the problem of inaccurate radial force evaluation of the winding in the prior art is solved, the stability and safety of the reactor are improved, and the R&D cost is saved.
Patent Information
- Application Number
- CN202411801951.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-09
- Publication Date
- 2025-03-07
- Estimated Expiration
- 2044-12-09
AI Technical Summary
The prior art is difficult to effectively evaluate the radial force tolerance of windings of different models and sizes in the case of short circuit, resulting in poor stability of the outgoing conductor and affecting the safe operation of the reactor.
By simulating the reactor model under preset short circuit conditions, the leakage magnetic distribution on the coil winding is obtained, the simulated radial electrodynamic and theoretical radial bearing capacity of the outgoing conductor are determined, the radial bearing capacity parameters are calculated, and the radial bearing performance of the winding is then evaluated.
The radial force evaluation of windings of different models and sizes is achieved, the stability of the outgoing wire is improved, the safe and stable operation of the reactor is ensured, the number of iterations in design and testing is reduced, and the R&D cost and time is saved.
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Figure CN119578337A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of reactors, and in particular to a method, device, computer equipment, computer-readable storage medium and computer program product for evaluating winding short-circuit performance based on a reactor model. Background Art
[0002] Power transformers are the core equipment for transmitting energy in power grids. When a short circuit occurs outside the transformer, the magnitude of the short circuit current is determined by the system impedance and the transformer's own impedance. In order to effectively limit the short circuit current passing through the transformer, a high-impedance transformer is usually used. In order to increase the transformer impedance, one of the methods is to connect an air-core reactor in series with the low-voltage winding.
[0003] However, when a short circuit occurs, the series reactor also needs to withstand the electromagnetic force generated by the large current. This electromagnetic force is a radial tensile force in the radial direction of the winding, that is, an outward force. Under the action of the radial tensile force, if the lead wire of the winding fails to effectively resist, it will cause the lead wire to protrude outward, which will lead to problems such as loose winding compression, insulation damage, and reduced insulation distance, seriously affecting the safe operation of the transformer. At present, the usual practice is to tie and limit the lead part based on the experience of technicians to resist the radial tensile force acting on the lead wire and prevent the lead wire from protruding outward.
[0004] However, due to the variety of winding types and the different actual sizes of different windings, the performance of different windings in bearing radial electromotive force (i.e. radial force) is also different. The applicability and effectiveness of relying solely on experience to determine the radial force and using it as a basis to restrict the lead-out conductors are too poor, resulting in poor stability of the lead-out conductors during use, which is not conducive to the stable operation of the reactor. Summary of the invention
[0005] Based on this, it is necessary to provide a winding short-circuit performance evaluation method, device, computer equipment, computer-readable storage medium and computer program product based on a reactor model that can perform radial force evaluation on windings of different models and sizes in order to address the above technical problems.
[0006] In a first aspect, the present application provides a method for evaluating winding short-circuit performance based on a reactor model, the method comprising:
[0007] Simulating the operation of the reactor model under a preset short-circuit condition to obtain a leakage magnetic field distribution on the coil winding in the reactor model;
[0008] Determine the leakage magnetic component of the lead-out conductor of the coil winding based on the preset short-circuit working condition, the reactor model and the leakage magnetic distribution, and determine the simulated radial electromotive force of the lead-out conductor based on the leakage magnetic component;
[0009] Determining the theoretical radial bearing capacity of the lead-out conductor based on the reactor model;
[0010] The radial bearing capacity parameters of the lead wire are determined according to the simulated radial electromotive force and the theoretical radial bearing force, and the radial force bearing performance evaluation result of the coil winding is obtained based on the radial bearing capacity parameters.
[0011] In one embodiment, the operation of the reactor model is simulated under a preset short-circuit condition to obtain the magnetic flux leakage distribution on the coil winding in the reactor model, including:
[0012] Based on preset excitation parameters, an excitation is loaded on the coil winding in the reactor model, so that the reactor model is simulated and operated under the excitation to obtain the magnetic field distribution of the coil winding.
[0013] In one of the embodiments, before simulating the operation of the reactor model under the preset short-circuit condition, the method further includes:
[0014] Performing geometric modeling on the reactor according to the structural parameters of the reactor to obtain a geometric model of the reactor;
[0015] Adding material properties to the geometric model according to the material of the reactor to obtain an intermediate geometric model;
[0016] Boundary conditions and excitation sources are configured for the coil winding model in the intermediate geometric model to obtain a reactor model; the excitation source is used to load excitation on the coil winding model according to preset excitation parameters.
[0017] In one embodiment, the determining of the leakage magnetic component of the lead-out conductor of the coil winding based on the reactor model, the leakage magnetic distribution and the preset short-circuit condition, and determining the simulated radial electromotive force of the lead-out conductor based on the leakage magnetic component, comprises:
[0018] Determine the position coordinates of the lead wire of the coil winding;
[0019] Based on the leakage magnetic distribution, extracting the leakage magnetic component of the lead-out conductor at the position coordinate;
[0020] The simulated radial electromotive force of the lead wire is determined according to the preset excitation parameters, the leakage magnetic component and the size parameters of the coil winding.
[0021] In one embodiment, the coil winding includes at least two coils stacked in the axial direction of the coil winding; the method further includes:
[0022] Determine a first friction force between a target coil to which the lead-out conductor belongs and an adjacent coil according to the property parameters of the reactor model; the property parameters include a friction coefficient between the target coil and the adjacent coil and an axial compression force when the lead-out conductor is in a compressed state in the axial direction;
[0023] The determining of the theoretical radial bearing capacity of the lead-out conductor based on the reactor model includes:
[0024] The theoretical radial bearing capacity of the lead wire is determined based on the first friction force.
[0025] In one embodiment, the method further comprises:
[0026] Determine a second friction force between the target wire coil and the adjacent wire coil based on a limiting force of a limiting structure between the target wire coil and the adjacent wire coil;
[0027] The determining of the theoretical radial bearing capacity of the lead-out conductor based on the reactor model includes:
[0028] The theoretical radial bearing capacity of the lead wire is determined based on the first friction force and the second friction force.
[0029] In one embodiment, obtaining the radial force performance evaluation result of the coil winding based on the radial bearing capacity parameter includes:
[0030] Setting a safety factor, comparing the radial bearing capacity parameter with the safety factor, and obtaining a comparison result;
[0031] The radial force performance evaluation result of the coil winding is determined according to the comparison result.
[0032] In a second aspect, the present application further provides a winding short-circuit performance evaluation device based on a reactor model, the device comprising:
[0033] A simulation operation module, used to simulate the operation of the reactor model under a preset short-circuit condition to obtain the leakage magnetic distribution on the coil winding in the reactor model;
[0034] A first calculation module is used to determine the leakage magnetic component of the lead-out conductor of the coil winding based on the preset short-circuit working condition, the reactor model and the leakage magnetic distribution, and determine the simulated radial electromotive force of the lead-out conductor based on the leakage magnetic component;
[0035] A second calculation module is used to determine the theoretical radial bearing capacity of the lead wire based on the reactor model;
[0036] The result evaluation module is used to determine the radial bearing capacity parameters of the lead wire according to the simulated radial electromotive force and the theoretical radial bearing capacity, and obtain the radial force performance evaluation result of the coil winding based on the radial bearing capacity parameters.
[0037] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above-mentioned method when executing the computer program.
[0038] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method described above are implemented.
[0039] In a fifth aspect, the present application also provides a computer program product, including a computer program, which implements the steps of the method described above when executed by a processor.
[0040] The above-mentioned winding short-circuit performance evaluation method, device, computer equipment, computer-readable storage medium and computer program product based on the reactor model obtain the leakage magnetic distribution on the coil winding in the reactor model by simulating the operation of the reactor model under preset short-circuit conditions, determine the leakage magnetic component of the lead-out conductor of the coil winding based on the reactor model, the leakage magnetic distribution and the preset short-circuit conditions, and determine the simulated radial electromotive force of the lead-out conductor based on the leakage magnetic component. It can accurately simulate the state of the reactor in actual operation, more accurately obtain the leakage magnetic distribution on the coil winding, and then accurately calculate the leakage magnetic component of the lead-out conductor on the coil winding to obtain the simulated radial electromotive force. Subsequently, the theoretical radial bearing capacity of the lead-in conductor is determined based on the reactor model, and the radial bearing capacity parameters of the lead-in conductor are determined according to the simulated radial electromotive force and the theoretical radial bearing capacity. The radial force performance evaluation results of the coil winding are obtained based on the radial bearing capacity parameters. By comparing the simulation values and the theoretical values, it is helpful to discover the possible safety hazards of the reactor in advance, so as to take timely preventive measures. At the same time, in the design stage of the reactor, it can also avoid multiple iterations and modifications in the actual manufacturing and testing process, thereby saving a lot of R&D costs and time. BRIEF DESCRIPTION OF THE DRAWINGS
[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.
[0042] Figure 1is an application environment diagram of a winding short-circuit performance evaluation method based on a reactor model in one embodiment;
[0043] Figure 2 A schematic diagram of a flow chart of a method for evaluating winding short-circuit performance based on a reactor model in one embodiment;
[0044] Figure 3 A schematic diagram of a process for constructing a reactor model in an embodiment;
[0045] Figure 4 It is a schematic diagram of the structure of a reactor in an application example;
[0046] Figure 5 This is a cloud diagram of the magnetic field distribution during the simulation operation of a reactor in an application example;
[0047] Figure 6 is a schematic diagram of the structure of a coil winding in an application example;
[0048] Figure 7 It is a schematic diagram of the radial tensile force borne by the lead wire in an application example;
[0049] Figure 8 is a structural block diagram of a winding short-circuit performance evaluation device based on a reactor model in one embodiment;
[0050] Fig. 9 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION
[0051] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.
[0052] The winding short-circuit performance evaluation method based on the reactor model provided in the embodiment of the present application can be applied to Figure 1In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The server 104 simulates and runs the reactor model under the preset short-circuit condition by calling the pre-built reactor model to obtain the leakage magnetic distribution of the reactor model under the preset short-circuit condition, and determines the simulated radial electromotive force of the lead wire of the reactor model during the simulation operation based on the leakage magnetic distribution. The server 104 then determines the theoretical radial bearing capacity of the lead wire based on the reactor model, and then compares the simulated radial electromotive force with the theoretical radial bearing capacity to obtain the radial bearing capacity parameters of the lead wire, and then obtains the radial force performance evaluation result of the coil winding, so as to provide an accurate and feasible reference basis for the restriction and fixation of the lead wire of the reactor, and ensure the stable operation of the reactor. Among them, the terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, and tablet computers. The server 104 may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.
[0053] In one embodiment, Figure 2 As shown in the figure, a method for evaluating the winding short-circuit performance based on a reactor model is provided. Figure 1 The server 104 in FIG. 1 is used as an example to illustrate. It is understandable that the method can also be applied to Figure 1 The terminal 102 in the embodiment may also be applied to a system including the terminal 102 and the server 104, and implemented through interaction between the terminal 102 and the server 104. The method of this embodiment includes:
[0054] Step S201 , simulating the operation of the reactor model under a preset short-circuit condition to obtain the leakage magnetic field distribution on the coil winding in the reactor model.
[0055] The reactor model refers to a model obtained by mathematically or physically modeling the actual reactor, which is used to simulate the actual operating behavior of the reactor in the simulation software so as to analyze and predict the relevant performance of the reactor under preset operating conditions; the reactor model can be an equivalent circuit model obtained based on circuit theory modeling, or a finite element model obtained based on electromagnetic field theory modeling.
[0056] In an optional embodiment, the reactor includes an oil tank and an upper iron yoke, a lower iron yoke and at least one coil winding arranged between the upper iron yoke and the lower iron yoke, wherein the upper iron yoke is located at the axial first end of the coil winding, the lower iron yoke is located at the axial second end of the coil winding, the axial first end and the axial second end of the coil winding are respectively the axial ends of the coil winding, and the upper iron yoke and the lower iron yoke clamp the coil winding to cooperate in limiting and fixing the coil winding, ensuring that the coil winding will not be displaced or deformed during the operation of the reactor, thereby maintaining the stability and reliability of the operation of the reactor.
[0057] The coil winding is the core part of the reactor, which is wound by a wire and used to store and release magnetic field energy. In this embodiment, the coil winding is a pancake structure, that is, the coil winding includes at least two coils stacked axially.
[0058] The preset short-circuit condition refers to the setting of the operating environment, working conditions and other parameters of the reactor model before simulating the operation of the reactor model, so as to ensure that the reactor model simulates the actual operation of the reactor, thereby ensuring accurate simulation results. The preset short-circuit condition may include operating parameters such as the operating voltage, current, and operating frequency of the reactor model, and may also include environmental parameters such as ambient temperature and humidity.
[0059] Among them, simulating the operation of the reactor model refers to the process of dynamically simulating the reactor model using computer simulation software. During the simulation process, by inputting various parameters under preset short-circuit conditions, the response of the reactor model under these parameters is obtained, and then the relevant performance of the reactor model is obtained.
[0060] The leakage magnetic distribution refers to the distribution of magnetic lines of force that fail to be completely confined inside the coil winding and leak into the surrounding space during the simulation operation of the reactor model.
[0061] Exemplarily, the server sets the operating condition of the reactor model according to the preset short-circuit condition, and controls the reactor model to simulate operation under the preset short-circuit condition to obtain the leakage magnetic distribution on the coil winding in the reactor model.
[0062] The operation of the reactor model is simulated under a preset short-circuit condition to obtain the leakage magnetic field distribution on the coil winding in the reactor model.
[0063] Step S202, based on the preset short-circuit working condition, the reactor model, the leakage magnetic distribution and the leakage magnetic component of the lead-out conductor of the coil winding, and based on the leakage magnetic component, the simulated radial electromotive force of the lead-out conductor is determined.
[0064] Among them, the lead-out wire refers to the wire part that connects the coil winding to the external circuit. On the coil winding, the lead-out wire is usually located on the wire cake at the first axial end or the second axial end of the coil winding. The lead-out wire is usually located outside the inductor model, serving as a structure for connecting the coil winding to the outside, and is used to input or output current.
[0065] The leakage magnetic component refers to the magnetic field line density or magnetic induction intensity in a specific direction in the leakage magnetic field, which is used to evaluate the degree of electromagnetic interference of the reactor model to the surrounding environment.
[0066] The simulated radial electromotive force refers to the simulated value of the radial electromagnetic force acting on the lead-out conductor of the coil winding, which is calculated based on the leakage magnetic component during the simulation operation of the reactor model. The radial electromagnetic force is generated by the interaction between the magnetic lines of force in the leakage magnetic field and the lead-out conductor.
[0067] Exemplarily, the server determines the leakage magnetic component acting on the lead-out conductor of the coil winding based on the preset short-circuit operating condition, the reactor model and the leakage magnetic distribution, and determines the simulation value of the radial electromagnetic force on the lead-out conductor based on the leakage magnetic component on the lead-out conductor, thereby obtaining the simulated radial electromotive force of the lead-out conductor.
[0068] Step S203: determining the theoretical radial bearing capacity of the lead conductor based on the reactor model.
[0069] The theoretical radial bearing capacity refers to the theoretical value of the radial electromagnetic force acting on the lead-out conductor of the coil winding, which is calculated according to the relevant parameters of the reactor model during the modeling process. The radial electromagnetic force is also generated by the interaction between the magnetic lines of force in the leakage magnetic field and the lead-out conductor.
[0070] Exemplarily, the server calculates the theoretical value of the radial electromotive force on the lead-out conductor based on relevant parameters of the reactor model during the modeling process to obtain the theoretical radial bearing capacity of the lead-out conductor.
[0071] Step S204, determining the radial bearing capacity parameters of the lead conductor according to the simulated radial electromotive force and the theoretical radial bearing force, and obtaining the radial force bearing performance evaluation result of the coil winding based on the radial bearing capacity parameters.
[0072] The radial bearing capacity parameter refers to a parameter used to characterize the magnitude of the force that the lead-out conductor can withstand in the radial direction. The larger the radial bearing capacity parameter, the greater the force that the lead-out conductor can withstand and the less likely it is to deform, thereby ensuring the stable operation of the reactor. Conversely, the smaller the force that the lead-out conductor can withstand, the more likely it is to deform, and the more unstable the operation of the reactor.
[0073] Exemplarily, the server determines the radial bearing capacity parameters of the lead-in conductor based on the simulated radial electromotive force obtained during the simulation run of the reactor model and the theoretical radial bearing capacity obtained based on the relevant parameters of the reactor model during the modeling process. Subsequently, the radial force performance evaluation results of the coil winding are obtained based on the radial bearing capacity parameters, which facilitates designers to determine whether the radial electromagnetic force exerted on the lead-in conductor is within its tolerance range.
[0074] In the above-mentioned winding short-circuit performance evaluation method based on the reactor model, the operation of the reactor model is simulated under the preset short-circuit condition to obtain the leakage magnetic distribution on the coil winding in the reactor model, and the leakage magnetic component of the lead-out conductor of the coil winding is determined based on the reactor model, the leakage magnetic distribution and the preset short-circuit condition, and the simulated radial electromotive force of the lead-out conductor is determined based on the leakage magnetic component. This can accurately simulate the state of the reactor in actual operation, more accurately obtain the leakage magnetic distribution on the coil winding, and then accurately calculate the leakage magnetic component of the lead-out conductor on the coil winding to obtain the simulated radial electromotive force. Subsequently, the theoretical radial bearing capacity of the lead-in conductor is determined based on the reactor model, and the radial bearing capacity parameters of the lead-in conductor are determined according to the simulated radial electromotive force and the theoretical radial bearing capacity. The radial force performance evaluation results of the coil winding are obtained based on the radial bearing capacity parameters. By comparing the simulation values and the theoretical values, it is helpful to discover the possible safety hazards of the reactor in advance, so as to take timely preventive measures. At the same time, in the design stage of the reactor, it can also avoid multiple iterations and modifications in the actual manufacturing and testing process, thereby saving a lot of R&D costs and time.
[0075] In one embodiment, the operation of the reactor model is simulated under a preset short-circuit condition to obtain the leakage magnetic distribution on the coil winding in the reactor model, including:
[0076] Based on the preset excitation parameters, the excitation is loaded on the coil winding in the reactor model, so that the reactor model runs under the excitation and simulates to obtain the magnetic field distribution cloud map of the coil winding; based on the magnetic field distribution cloud map, the leakage magnetic distribution on the coil winding is determined.
[0077] The preset excitation parameters refer to a series of parameters set in advance before the simulation of the reactor model, according to the actual operating conditions or design requirements of the reactor corresponding to the reactor model, to describe the excitation conditions applied to the reactor model. The preset excitation parameters include but are not limited to the current magnitude, frequency, waveform, and voltage amplitude, phase, etc., wherein the preset excitation parameters of this embodiment are mainly the current loaded on the coil winding, but it can be understood that in some other embodiments, according to the purpose of the simulation operation, the preset excitation parameters may also be other parameters such as voltage.
[0078] Loading excitation on the coil winding refers to applying preset excitation parameters on the coil winding so that the reactor model runs in a simulation environment.
[0079] Among them, the magnetic field distribution cloud map refers to a map used to display the magnetic field distribution in the reactor model. It usually uses color or grayscale to represent the magnitude of the magnetic field strength. It can intuitively display the magnetic field distribution inside the reactor model, making it easier to understand and analyze the electromagnetic characteristics of the reactor model. Through the magnetic field distribution cloud map, it is easy to identify areas with high magnetic field intensity and potential magnetic leakage areas.
[0080] Exemplarily, the server loads corresponding excitation on the coil winding in the reactor model according to preset excitation parameters based on the simulated operating conditions of the reactor model, so that the reactor model runs in simulation under the excitation of the excitation parameters, and uses simulation software to obtain a magnetic field distribution cloud map of the coil winding; then, the server determines the leakage magnetic distribution on the coil winding based on the magnetic field distribution cloud map.
[0081] In this embodiment, through the simulation operation of the reactor model, the electromagnetic field distribution of the reactor in actual operation can be accurately simulated, thereby avoiding the errors and uncertainties that may exist in the traditional design method, and the magnetic field distribution cloud map obtained by simulation can intuitively display the magnetic field distribution inside the reactor, especially for the leakage magnetic distribution on the coil winding, so as to adjust the structural parameters and material properties of the reactor in a targeted manner to reduce the leakage magnetic field and improve the efficiency and safety of the reactor. Through multiple simulations, the optimal design solution can be quickly found to improve the research and development efficiency. In addition, the simulation analysis can be completed on the computer without making a physical prototype for testing, thereby greatly saving the research and development cost and time.
[0082] In one embodiment, Figure 3 As shown, before simulating the operation of the reactor model under the preset short-circuit condition, it also includes:
[0083] Step S301 , geometrically modeling the reactor according to the structural parameters of the reactor to obtain a geometric model of the reactor.
[0084] The structural parameters of the reactor refer to the numerical values that describe the physical shape and size of the reactor. The structural parameters of the reactor include but are not limited to the overall size of the reactor (such as length, width, height), the size of the coil winding (such as wire diameter, number of turns, winding method), the size of the upper iron yoke and the lower iron yoke, etc., so as to construct a reactor model that matches the reactor.
[0085] Among them, geometric modeling refers to constructing a three-dimensional or two-dimensional geometric shape of the reactor according to the structural parameters of the reactor, which can usually be completed using a geometric modeling tool in CAD (Computer-Aided Design) software or simulation software. In this embodiment, the reactor is modeled using finite element analysis software to obtain the corresponding geometric model of the reactor. Among them, according to the structure of the reactor, the geometric model of the reactor includes an oil tank model, an upper iron yoke model, a lower iron yoke model, and a coil winding model to accurately reflect the actual structure of the reactor.
[0086] Exemplarily, the server calls finite element analysis software, and constructs an oil tank model, an upper iron yoke model, a lower iron yoke model, and a coil winding model according to the set structural parameters of the reactor, to obtain a geometric model of the reactor.
[0087] Step S302 : adding material attributes to the geometric model according to the material of the reactor to obtain an intermediate geometric model.
[0088] Among them, the material of the reactor is used to describe the electrical performance and material properties of the reactor. The material of the reactor includes the copper core of the coil winding wire, the material of the external insulation material, etc., to reflect the inductance, resistance, capacitance, loss, conductivity, magnetic permeability of magnetic materials, saturation magnetic induction intensity, resistivity and other electrical parameters of the reactor and its coil winding wire.
[0089] Among them, material properties refer to the quantitative description of the physical and mechanical properties of the material when modeling in the finite element analysis software, so that the constructed reactor model has the same properties and performance as the actual reactor.
[0090] Among them, the intermediate geometric model refers to the geometric model after adding material properties during the modeling process of the reactor, including the intermediate oil tank model, the intermediate upper iron yoke model, the intermediate lower iron yoke model and the intermediate coil winding model. The intermediate geometric model contains the geometric shape and material property information of the reactor.
[0091] Exemplarily, the server adds material quantity to the oil tank model, upper iron yoke model, lower iron yoke model, and coil winding model according to the material of the set reactor, and obtains the intermediate oil tank model, intermediate upper iron yoke model, intermediate lower iron yoke model, and intermediate coil winding model to obtain the intermediate geometric model.
[0092] Step S303: configuring boundary conditions and excitation sources for the coil winding model in the intermediate geometric model to obtain a reactor model.
[0093] The boundary conditions refer to the physical conditions on the boundary of the intermediate geometric model set during the simulation of the reactor model in order to solve the electromagnetic field distribution. The boundary conditions include but are not limited to the boundary conditions of the electromagnetic field (such as electric field strength, magnetic field strength, magnetic flux, etc.).
[0094] The excitation source refers to a current or voltage source applied during the simulation of the reactor model in order to simulate the working conditions of the reactor in actual operation; it is used to load excitation on the coil winding model according to preset excitation parameters.
[0095] Exemplarily, the server configures boundary conditions for the intermediate oil tank model, the intermediate upper iron yoke model, the intermediate lower iron yoke model and the intermediate coil winding model in the intermediate geometric model, respectively, and configures an excitation source for the intermediate coil winding model to obtain the reactor model.
[0096] In this embodiment, by configuring precise boundary conditions for the intermediate geometric model and configuring an excitation source for the coil winding model, the final reactor model is obtained, which can simulate the current and voltage conditions of the reactor in actual work, and thus obtain accurate magnetic field distribution and physical properties.
[0097] In one embodiment, the leakage magnetic component of the lead wire of the coil winding is determined based on the reactor model, the leakage magnetic distribution and the preset short-circuit working condition, and the simulated radial electromotive force of the lead wire is determined based on the leakage magnetic component, including:
[0098] Determine the position coordinates of the lead wire of the coil winding; extract the leakage magnetic component of the lead wire at the position coordinates based on the leakage magnetic distribution; determine the simulated radial electromotive force of the lead wire according to the leakage magnetic component, preset excitation parameters and size parameters of the coil winding.
[0099] Among them, the position coordinates of the lead-out wire refer to the coordinates of the lead-out wire in the coordinate system of the finite element analysis software, which is usually a Cartesian coordinate system. In this embodiment, since the lead-out wire has a certain radius, when determining the position coordinates, the center coordinates of the end face or section of the lead-out wire are used as the position coordinates of the lead-out wire, that is, the position coordinates of the center point of the lead-out wire. Of course, in some other embodiments, the position coordinates can also be selected from the coordinates of other positions on the end face or section of the lead-out wire. When the coil winding is wound by one wire, the position coordinates of its lead-out wire are the position coordinates of the lead-out wire of the coil winding. When the coil winding is wound by two or more windings, the position coordinates of its lead-out wire are the position coordinates of the lead-out wire of the outermost coil winding.
[0100] According to the structure of the coil winding, the leakage magnetic component includes axial leakage magnetic component and radial leakage magnetic component. The axial leakage magnetic component refers to the component obtained by decomposing the leakage magnetic component along the axial direction of the coil winding; the radial leakage magnetic component refers to the component obtained by decomposing the leakage magnetic component along the radial direction of the coil winding. Both the axial leakage magnetic component and the radial leakage magnetic component can be simulated by finite element analysis software.
[0101] Among them, the size parameter of the coil winding mainly refers to the circumference of the lead wire of the wire bobbin at the corresponding end of the coil winding.
[0102] Exemplarily, first, the server obtains the position coordinates of the center of the end face of the lead wire in the Cartesian coordinate system from the finite element analysis model according to the structural parameters of the reactor model during modeling, expressed as ,in, The three directions of the Cartesian coordinate system.
[0103] Next, based on the leakage magnetic distribution obtained by solving, the server extracts the axial leakage magnetic component and the radial leakage magnetic component at the position coordinate, and uses the leakage magnetic component at the position coordinate to represent the leakage magnetic component of the lead-out conductor. Based on the left-hand rule, the simulated radial electromotive force on the lead-out conductor in the radial direction is obtained. Among them, the simulated radial electromotive force is expressed as:
[0104] (1)
[0105] in, is the radial tensile force on the lead wire in the radial direction, Indicates radial direction; is the axial leakage magnetic component of the lead conductor, Indicates axial direction; is the short-circuit current of the lead-out conductor, i.e., the current on the lead-out conductor when short-circuited during the operation of the reactor model under the excitation of the preset excitation parameters; is the size parameter of the coil winding.
[0106] In this embodiment, for the convenience of analysis, the size parameter of the coil winding is taken as the circumference of a quarter of the lead wire to prevent the tensile forces on the lead wire in the corresponding directions from offsetting each other. Therefore, the size parameter of the coil winding is expressed as:
[0107] (2)
[0108] in, is the radius of the lead wire.
[0109] Based on this, when the reactor model is short-circuited, the simulated radial electromotive force on one quarter of the circumference of the lead conductor is expressed as:
[0110] (3)
[0111] In this embodiment, by determining the position coordinates of the center point of the lead-out wire in the coil winding, the leakage magnetic component borne by the lead-out wire at the position coordinates is extracted, and finally the leakage magnetic component is used, combined with the preset excitation parameters and the dimensional parameters of the coil winding, the radial electromotive force exerted on the lead-out wire in the radial direction can be accurately simulated and calculated. Not only the direct influence of the leakage magnetic field is taken into account, but also the influence of the excitation conditions and the winding structure on the distribution of the radial electromotive force is comprehensively considered, which is conducive to obtaining accurate simulation of the radial electromotive force.
[0112] In one embodiment, the coil winding includes at least two coils stacked in the axial direction of the coil winding; the method further includes:
[0113] According to the property parameters of the reactor model, the first friction force between the target coil to which the lead-out conductor belongs and the adjacent coil is determined.
[0114] Among them, the attribute parameters refer to the parameters used to determine the friction between the target coil and the adjacent coil of the reactor model; the attribute parameters of this embodiment include the friction coefficient between the target coil and the adjacent coil and the axial compression force when the lead wire is in a compressed state in the axial direction.
[0115] The target coil refers to the coil located at the first axial end or the second axial end of the coil winding, that is, the coil in contact with the upper iron yoke or the lower iron yoke, and the lead wire is drawn from the target coil. The adjacent coil refers to the coil in contact with the target coil, and the two may be in direct contact or indirect contact through a pad.
[0116] The friction coefficient between the target coil and the adjacent coil refers to a physical quantity that characterizes the magnitude of the friction between the two contact surfaces of the target coil and the adjacent coil under pressure, and the value depends on the material properties of the outer insulation layer of the conductor of each coil. In some other embodiments, when there is a pad between the target coil and the adjacent coil, the friction coefficient may also be the friction coefficient between the lead wire of the target coil and the pad.
[0117] The axial compression force when the lead wire is under axial compression refers to the force when each coil is pressed in the axial direction of the coil winding, which causes each coil to be squeezed and contacted with each other in the axial direction, and is used to ensure that the wires of each coil (including the lead wire) are closely arranged and fixed. In this embodiment, the axial compression force is the axial compression force on one quarter of the circumference of the lead wire.
[0118] The first friction force refers to the resistance generated when the contact surface of the target coil and the adjacent coil moves or attempts to move relative to each other under the action of the radial compression force. When the coil winding is under compression under the action of the axial compression force, the first friction force between the lead wire and the wire of the adjacent coil will hinder the lead wire and the wire of the adjacent coil from moving under the action of the radial electromotive force, so as to prevent the lead wire from deforming.
[0119] Exemplarily, the server determines the first friction force between the target coil to which the lead wire belongs and the adjacent coil according to the friction coefficient between the target coil and the adjacent coil of the reactor model and the axial compression force when the lead wire is in a compressed state in the axial direction. The first friction force is expressed as:
[0120] (4)
[0121] in, is the first friction force, is the friction coefficient between the lead wire of the target coil and the wire of the adjacent coil, or the friction coefficient between the lead wire of the target coil and the pad, It is the axial compressive force on one quarter of the circumference of the lead wire, which depends on the structural characteristics of the reactor model.
[0122] In this embodiment, the theoretical radial bearing capacity of the lead conductor is determined based on the reactor model, including:
[0123] The theoretical radial bearing capacity of the lead wire is determined based on the first friction force.
[0124] Among them, in this case, no limiting structure is added to the lead-out wire, and the force that hinders the lead-out wire from moving radially is only the friction force provided by the wires or pads of the adjacent coils in contact with it. Therefore, the theoretical radial bearing capacity is the first friction force.
[0125] Exemplarily, the server determines the first friction force as the theoretical radial bearing capacity of the lead wire, that is:
[0126] (5)
[0127] in, It is the theoretical radial bearing capacity when no limiting structure is added to the protruding conductor.
[0128] In this embodiment, by determining the property parameters of the reactor model, the first friction force between the lead wire of the target coil and the wire of the adjacent coil can be accurately calculated, and then the theoretical radial bearing capacity can be obtained, providing a theoretical basis for the subsequent performance evaluation of the coil winding.
[0129] In one embodiment, the method further includes:
[0130] Based on the limiting force of the limiting structure between the target wire coil and the adjacent wire coil, a second friction force between the target wire coil and the adjacent wire coil is determined.
[0131] Among them, the limiting structure refers to the structure used to fix the target coil and the adjacent coil. The limiting structure can be a heat shrink tape, a pressure block, etc., to limit and fix the target coil and the adjacent coil; each limiting structure can be set one by one or at the same time, which is determined according to the friction between the target coil and the adjacent coil to resist the radial electromotive force. The limiting force refers to the force used to prevent the target coil from separating or displacing from the adjacent coil.
[0132] The second friction force refers to the resistance generated when the contact surface of the target coil and the adjacent coil moves or attempts to move relative to each other under the action of the limiting force of the limiting structure. When the coil winding is under pressure under the action of the limiting force, the second friction force between the lead wire and the wire of the adjacent coil is superimposed on the first friction force to further hinder the lead wire and the wire of the adjacent coil from moving under the action of the radial electromotive force, thereby further preventing the lead wire from deforming. The second friction force is determined in a similar way to the first friction force.
[0133] Exemplarily, the server determines the second friction force between the target coil to which the lead wire belongs and the adjacent coil according to the friction coefficient between the target coil and the adjacent coil of the reactor model and the limiting force provided by the limiting structure. The second friction force is expressed as:
[0134] (6)
[0135] in, is the second friction force, is the friction coefficient between the lead wire of the target coil and the wire of the adjacent coil, or the friction coefficient between the lead wire of the target coil and the pad, It is the limiting force applied to one quarter of the circumference of the protruding wire.
[0136] In this embodiment, the theoretical radial bearing capacity of the lead conductor is determined based on the reactor model, including:
[0137] The theoretical radial bearing capacity of the lead wire is determined based on the first friction force and the second friction force.
[0138] Among them, in this case, the lead wire is provided with a limit structure, and the force that hinders the lead wire from moving radially is the resultant force of the first friction force and the second friction force. Therefore, the theoretical radial bearing force is the resultant force of the first friction force and the second friction force.
[0139] Exemplarily, the server determines the combined force of the first friction force and the second friction force as the theoretical radial bearing capacity of the lead wire, that is:
[0140] (7)
[0141] in, Theoretical radial bearing capacity when a limiting structure is added to the protruding conductor.
[0142] In this embodiment, by determining the second friction force of the lead-out conductor under the action of the limiting structure and based on the attribute parameters of the reactor model, the second friction force between the lead-out conductor of the target coil and the conductor of the adjacent coil can be accurately calculated, and then the theoretical radial bearing capacity with the effect of the limiting structure can be obtained, providing a theoretical basis for the subsequent performance evaluation of the coil winding.
[0143] In one embodiment, obtaining a radial force performance evaluation result of the coil winding based on the radial bearing capacity parameter includes:
[0144] A safety factor is set, and the radial bearing capacity parameter is compared with the safety factor to obtain a comparison result; and a radial force performance evaluation result of the coil winding is determined according to the comparison result.
[0145] The safety factor is a factor used to measure whether the axial bearing capacity parameter exceeds the range. The comparison result is the result of whether the radial bearing capacity parameter of the coil winding meets the requirements of the safety factor.
[0146] Among them, the radial bearing capacity parameter is expressed as:
[0147] (8)
[0148] in, is the radial bearing capacity parameter.
[0149] Exemplarily, a safety factor is set, and the server compares the radial bearing capacity parameter with the safety factor to obtain a comparison result. If the radial bearing capacity parameter is greater than or equal to the safety factor, it means that the radial electric force received by the lead-in wire is within the range that the lead-in wire can withstand. If the radial bearing capacity parameter is less than the safety factor, it means that the radial electric force received by the lead-in wire exceeds the range that the lead-in wire can withstand, thereby obtaining the radial force performance evaluation result of the coil winding.
[0150] In this embodiment, by setting a safety factor and comparing the determined radial bearing capacity parameter with the safety factor, it is possible to determine whether the radial electromotive force exerted on the head conductor is within the range that it can withstand, and to quantitatively evaluate the radial force performance of the coil winding to improve the objectivity and accuracy of the performance evaluation.
[0151] In an application example, a method for evaluating the short-circuit performance of windings based on a reactor model is provided. By analyzing the magnetic leakage distribution of the air-core reactor built into the power transformer under short-circuit current, the axial magnetic leakage component of the winding head is obtained, and then the radial tensile force received by the wire at the head is calculated. The radial tensile force is compared with the limiting force received by the head, and the short-circuit bearing capacity of the wire head is evaluated. The specific steps are as follows:
[0152] Step 1: Modeling and determining the magnetic flux leakage distribution.
[0153] The three-dimensional CAD model of the reactor is established based on the detailed design parameters of the air-core reactor. Figure 4 As shown, the reactor includes a coil 401, an upper iron yoke 402, a lower iron yoke 403, and an oil tank 404. For the reactor CAD model, the corresponding material parameters are loaded for each group of components, and the corresponding excitation parameters are loaded for the coil 401. The leakage magnetic distribution on the coil of the reactor under the corresponding operating conditions is solved by simulation, as shown in FIG. Figure 5 As shown in FIG. 1 , it is a cloud diagram of magnetic field distribution during simulation operation of the reactor model, from which the leakage magnetic field distribution can be obtained.
[0154] Step 2: Based on the leakage flux distribution, determine the axial leakage flux at the center point of the lead conductor and calculate the radial tensile force of the 1 / 4 circle of the outermost conductor.
[0155] According to the reactor design parameters, the coordinate data of the center point of the coil lead wire is obtained, such as Figure 6 As shown. Figure (a) is a single wire, and Figure (b) is a multiple wire radially wound. The figure shows the transformer A phase winding, and the coordinates of the center point of the end cake wire are expressed as ,in, They respectively represent the position of the A-phase winding in the three directions of the Cartesian coordinate system, A represents the A-phase winding; the same applies to phases B and C.
[0156] Based on the leakage magnetic flux distribution obtained by solving, the axial leakage magnetic flux and radial leakage magnetic flux components under the coordinate data are extracted. The leakage magnetic flux component of the center point represents the leakage magnetic flux component of the conductor.
[0157] The axial leakage magnetic component of the conductor is expressed as , Indicates the axial direction, Indicates the radial direction. Based on the left-hand rule, the radial tensile force on the lead wire is:
[0158] (9)
[0159] in, is the radial tensile force on the lead wire in the radial direction, is the short-circuit current of the lead wire, To indicate the length of 1 / 4 of the circumference of the lead wire (such as Figure 7 (indicated by the arrow in the middle).
[0160] The calculation method of is as follows,
[0161] (10)
[0162] in, is the radius of the lead wire, which can be obtained from the design parameters of the reactor.
[0163] In summary, when the reactor is short-circuited, the radial electromotive force on 1 / 4 of the circumference of the lead wire is:
[0164] (11)
[0165] Step 3: Calculate the head conductor's ability to withstand radial forces.
[0166] The actual ability of the reactor to withstand radial force is mainly affected by the following factors:
[0167] (1) Wire friction
[0168] The entire coil 401 of the built-in reactor is in an axially compressed state. The friction between the wires will hinder the wires from moving under the action of radial tensile force. The calculation of the friction between the coils is as follows:
[0169] (12)
[0170] in, The friction between the cakes; It is the friction coefficient between the cakes. Specifically, if there is a pad between the cakes, it indicates the friction coefficient between the pad and the conductor; if there is no pad between the cakes, it indicates the friction coefficient between the cakes. This value depends on the material properties of the outer insulation layer of the conductor and the pad; It indicates the axial compression force on 1 / 4 of the circumference of the wire extending from the coil end, which depends on the structural characteristics of the reactor.
[0171] (2) Heat shrink tape bundling
[0172] Adjacent cakes are tied with heat shrink tape to provide additional axial force , which in turn generates friction , the calculation method is the same as above.
[0173] (3) Other limiting measures
[0174] Provides radial tolerance , generating friction .
[0175] In summary, the ability of the outgoing conductor to withstand the radial force at the 1 / 4 circumferential length is as follows:
[0176] (13)
[0177] Step 4: Compare the calculated radial electromagnetic force with the ability of the outgoing conductor to withstand the radial force. According to the actual design scheme of the reactor, set the safety factor S, and compare and evaluate the ability of the outgoing conductor of the reactor to withstand the radial force.
[0178] The evaluation scheme is as follows:
[0179] (14)
[0180] If > S, it means that the radial electromagnetic force on the outgoing conductor of the reactor is within its bearing range;
[0181] If < S, it means that the radial electromagnetic force on the outgoing conductor of the reactor exceeds its bearing capacity.
[0182] Based on the above, the present example has the following beneficial effects:
[0183] ① Based on the finite element simulation algorithm, calculate the leakage magnetic field distribution at the outgoing part of the reactor winding. Compared with the empirical formula, the calculation result of the leakage magnetic field is more accurate, so the radial electromagnetic force of the outgoing conductor obtained is closer to the actual value;
[0184] ② The calculation method is applicable to various types of reactors and is not affected by factors such as winding type, size, outgoing type, and reactor design size. This evaluation method can be used to judge the radial short-circuit withstand ability of the outgoing conductor of the reactor.
[0185] It should be understood that although the steps in the flowcharts involved in the above-mentioned embodiments are shown in sequence according to the arrows, these steps do not necessarily need to be executed in the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps has no strict order limit, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments may include multiple steps or multiple stages. These steps or stages do not necessarily need to be executed at the same time, but can be executed at different times. The execution order of these steps or stages does not necessarily need to be sequential, but can be executed alternately or alternately with at least a part of other steps or steps in other steps.
[0186] Based on the same inventive concept, the embodiment of the present application also provides a winding short-circuit performance evaluation device based on a reactor model for implementing the winding short-circuit performance evaluation method based on a reactor model involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in the embodiments of one or more winding short-circuit performance evaluation devices based on a reactor model provided below can refer to the limitations of the winding short-circuit performance evaluation method based on a reactor model above, and will not be repeated here.
[0187] In an exemplary embodiment, Figure 8 As shown, a winding short-circuit performance evaluation device based on a reactor model is provided, comprising: a simulation operation module 801, a first calculation module 802, a second calculation module 803 and a result evaluation module 804, wherein:
[0188] The simulation operation module 801 is used to simulate the operation of the reactor model under a preset short-circuit condition to obtain the leakage magnetic distribution on the coil winding in the reactor model.
[0189] The first calculation module 802 is used to determine the leakage magnetic component of the lead-out conductor of the coil winding based on the preset short-circuit condition, the reactor model and the leakage magnetic distribution, and determine the simulated radial electromotive force of the lead-out conductor based on the leakage magnetic component.
[0190] The second calculation module 803 is used to determine the theoretical radial bearing capacity of the lead conductor based on the reactor model.
[0191] The result evaluation module 804 is used to determine the radial bearing capacity parameters of the lead wire according to the simulated radial electromotive force and the theoretical radial bearing force, and obtain the radial force performance evaluation result of the coil winding based on the radial bearing capacity parameters.
[0192] In an optional embodiment, the simulation operation module 801 is further used to load excitation on the coil winding in the reactor model based on preset excitation parameters, so that the reactor model runs under the excitation to obtain the magnetic field distribution of the coil winding.
[0193] In an optional embodiment, the above-mentioned device also includes a model building module, which is used to perform geometric modeling on the reactor according to the structural parameters of the reactor to obtain a geometric model of the reactor; add material properties to the geometric model according to the material of the reactor to obtain an intermediate geometric model; configure boundary conditions and excitation sources for the coil winding model in the intermediate geometric model to obtain the reactor model; the excitation source is used to load excitation on the coil winding model according to preset excitation parameters.
[0194] In an optional embodiment, the first calculation module 802 is also used to determine the position coordinates of the lead-out conductor of the coil winding; based on the leakage magnetic distribution, extract the leakage magnetic component of the lead-out conductor at the position coordinates; determine the simulated radial electromotive force of the lead-out conductor according to the preset excitation parameters, the leakage magnetic component and the size parameters of the coil winding.
[0195] In an optional embodiment, the coil winding includes at least two coils stacked axially along the coil winding. The above device also includes a first friction force calculation module, which is used to determine the first friction force between the target coil to which the lead wire belongs and the adjacent coil according to the attribute parameters of the reactor model; the attribute parameters include the friction coefficient between the target coil and the adjacent coil and the axial compression force when the lead wire is in a compressed state in the axial direction.
[0196] The second calculation module 803 is further used to determine the theoretical radial bearing capacity of the lead conductor based on the first friction force.
[0197] In an optional embodiment, the above-mentioned device further includes a second friction force calculation module, which is used to determine the second friction force between the target coil and the adjacent coil based on the limiting force of the limiting structure between the target coil and the adjacent coil.
[0198] The second calculation module 803 is further used to determine the theoretical radial bearing capacity of the lead wire based on the first friction force and the second friction force.
[0199] In an optional embodiment, the result evaluation module 804 is further used to set a safety factor, compare the radial bearing capacity parameter with the safety factor to obtain a comparison result; and determine the radial force performance evaluation result of the coil winding according to the comparison result.
[0200] Each module in the above-mentioned winding short-circuit performance evaluation device based on the reactor model can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.
[0201] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Fig. 9As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as excitation parameters, structural parameters, materials, electrical parameters, and size parameters of the reactor. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a winding short-circuit performance evaluation method based on a reactor model is implemented.
[0202] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.
[0203] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the winding short-circuit performance evaluation method based on the reactor model of the above embodiment is implemented.
[0204] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the method for evaluating winding short-circuit performance based on a reactor model of the above embodiment is implemented.
[0205] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the winding short-circuit performance evaluation method based on a reactor model according to the above embodiment.
[0206] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.
[0207] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.
[0208] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.
[0209] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.
Claims
1. A method for evaluating winding short-circuit performance based on a reactor model, characterized in that: The method comprises: Simulating the operation of the reactor model under a preset short-circuit condition to obtain a leakage magnetic field distribution on the coil winding in the reactor model; Determine the leakage magnetic component of the lead-out conductor of the coil winding based on the preset short-circuit working condition, the reactor model and the leakage magnetic distribution, and determine the simulated radial electromotive force of the lead-out conductor based on the leakage magnetic component; Determining the theoretical radial bearing capacity of the lead-out conductor based on the reactor model; The radial bearing capacity parameters of the lead wire are determined according to the simulated radial electromotive force and the theoretical radial bearing force, and the radial force bearing performance evaluation result of the coil winding is obtained based on the radial bearing capacity parameters.
2. The method according to claim 1, characterized in that: The operation of the reactor model is simulated under a preset short-circuit condition to obtain the leakage magnetic distribution on the coil winding in the reactor model, including: Based on preset excitation parameters, an excitation is loaded on the coil winding in the reactor model, so that the reactor model is simulated and operated under the excitation to obtain the magnetic field distribution of the coil winding.
3. The method according to claim 2, characterized in that Before simulating the operation of the reactor model under the preset short-circuit condition, the method further includes: Performing geometric modeling on the reactor according to the structural parameters of the reactor to obtain a geometric model of the reactor; Adding material properties to the geometric model according to the material of the reactor to obtain an intermediate geometric model; Boundary conditions and excitation sources are configured for the coil winding model in the intermediate geometric model to obtain a reactor model; the excitation source is used to load excitation on the coil winding model according to preset excitation parameters.
4. The method according to claim 2, characterized in that: The step of determining the leakage magnetic component of the lead-out conductor of the coil winding based on the reactor model, the leakage magnetic distribution and the preset short-circuit working condition, and determining the simulated radial electromotive force of the lead-out conductor based on the leakage magnetic component, comprises: Determine the position coordinates of the lead wire of the coil winding; Based on the leakage magnetic distribution, extracting the leakage magnetic component of the lead-out conductor at the position coordinate; The simulated radial electromotive force of the lead wire is determined according to the preset excitation parameters, the leakage magnetic component and the size parameters of the coil winding.
5. The method according to any one of claims 1 to 4, characterized in that: The coil winding comprises at least two coils stacked in the axial direction of the coil winding; the method further comprises: Determine a first friction force between a target coil to which the lead-out conductor belongs and an adjacent coil according to the property parameters of the reactor model; the property parameters include a friction coefficient between the target coil and the adjacent coil and an axial compression force when the lead-out conductor is in a compressed state in the axial direction; The determining of the theoretical radial bearing capacity of the lead-out conductor based on the reactor model includes: The theoretical radial bearing capacity of the lead wire is determined based on the first friction force.
6. The method according to claim 5, characterized in that The method further comprises: Determine a second friction force between the target wire coil and the adjacent wire coil based on a limiting force of a limiting structure between the target wire coil and the adjacent wire coil; The determining of the theoretical radial bearing capacity of the lead-out conductor based on the reactor model includes: The theoretical radial bearing capacity of the lead wire is determined based on the first friction force and the second friction force.
7. The method according to any one of claims 1 to 4, characterized in that: The obtaining of the radial force performance evaluation result of the coil winding based on the radial bearing capacity parameter includes: Setting a safety factor, comparing the radial bearing capacity parameter with the safety factor, and obtaining a comparison result; The radial force performance evaluation result of the coil winding is determined according to the comparison result.
8. A winding short-circuit performance evaluation device based on a reactor model, characterized in that: The device comprises: A simulation operation module, used to simulate the operation of the reactor model under a preset short-circuit condition to obtain the leakage magnetic distribution on the coil winding in the reactor model; A first calculation module is used to determine the leakage magnetic component of the lead-out conductor of the coil winding based on the preset short-circuit working condition, the reactor model and the leakage magnetic distribution, and determine the simulated radial electromotive force of the lead-out conductor based on the leakage magnetic component; A second calculation module is used to determine the theoretical radial bearing capacity of the lead wire based on the reactor model; The result evaluation module is used to determine the radial bearing capacity parameters of the lead wire according to the simulated radial electromotive force and the theoretical radial bearing capacity, and obtain the radial force performance evaluation result of the coil winding based on the radial bearing capacity parameters.
9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.
Citation Information
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