Power distribution network arc simulation method and device

Abstract

The embodiment of the invention discloses a power distribution network arc simulation method and device, and the method comprises the steps: obtaining a preset expression of an arc model, the expressions comprise a first expression and a second expression, the first expression is obtained based on a Mayr electric arc model and used for describing the relation between the change rate of the electric arc conductance g along with time and the time characteristic tau and the relation between the electric arc conductance g and the static conductance G, the second expression is used for describing the relation between the time characteristic tau and the absolute value i of the electric arc current, and the second expression is in the form of a logarithmic function; parameter values of parameters in the expressions of the arc model are obtained through experimental measurement of the power distribution network, and the parameters comprise parameters in the second expression; substituting the parameter value of each parameter into the expression of the arc model to obtain the arc model; and performing power distribution network arc simulation based on the arc model. According to the invention, the accuracy of power distribution network arc simulation can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a method and device for simulating arcs in a distribution network. Background Art

[0002] At present, the Mayr arc model is often used for arc simulation of distribution network. However, the Mayr arc model makes a lot of simplifications and assumptions when describing arc behavior, and the simulation accuracy of arc phenomenon in distribution network is insufficient, resulting in insufficient simulation accuracy. The prior art lacks a solution to improve the accuracy of arc simulation of distribution network. Summary of the invention

[0003] In order to solve at least one technical problem in the above-mentioned background technology, the present invention proposes a distribution network arc simulation method and device.

[0004] In order to achieve the above object, according to one aspect of the present invention, a distribution network arc simulation method is provided, the method comprising:

[0005] Obtaining an expression of a preset arc model, wherein the expression includes: a first expression describing the relationship between the rate of change of arc conductance g with time and the time characteristic τ, arc conductance g and static conductance G obtained based on the Mayr arc model, and a second expression describing the relationship between the time characteristic τ and the absolute value |i| of the arc current, wherein the second expression is in the form of a logarithmic function;

[0006] The parameter values ​​of the parameters in the expression of the arc model are obtained by experimentally measuring the distribution network, wherein the parameters include: the parameters in the second expression;

[0007] Substituting the parameter value of each parameter into the expression of the arc model to obtain the arc model;

[0008] The arc simulation of the distribution network is performed based on the arc model.

[0009] Optionally, the distribution network arc simulation method further includes:

[0010] Based on the first expression, a relational expression is obtained for the relationship between the time characteristic τ and the arc conductance g and the static conductance G;

[0011] Convert the relational expression into a differential expression;

[0012] Based on the differential expression, the arc conductance g and static conductance G obtained by experimental measurement are used to obtain the data τ(t) of the time characteristic τ changing with time by an iterative calculation method;

[0013] According to the data τ(t), the absolute value |i| of the arc current i is used as the horizontal axis, and the value of the time characteristic τ is used as the vertical axis, and then the second expression is obtained by fitting.

[0014] Optionally, the second expression is specifically:

[0015] τ=MIn |i|+N

[0016] Among them, τ is the time characteristic, i is the arc current, M is the first time characteristic constant, and N is the second time characteristic constant; the parameters include: the first time characteristic constant and the second time characteristic constant.

[0017] Optionally, the expression also includes: a third expression describing the linear relationship between the static conductivity G and the absolute value |i| of the arc current; and the parameters also include: the parameters in the third expression.

[0018] Optionally, the arc model is expressed as:

[0019]

[0020] Wherein, g is instantaneous conductance, t is time, τ is time characteristic, G is static conductance, i is arc current, Va is voltage constant, M is first time characteristic constant, and N is second time characteristic constant; For the first expression, τ = MIn |i|+N For the second expression, is the third expression; the parameters include: the voltage constant, the first time characteristic constant and the second time characteristic constant.

[0021] In order to achieve the above object, according to another aspect of the present invention, a distribution network arc simulation device is provided, the device comprising:

[0022] An arc model expression acquisition unit, used to acquire an expression of a preset arc model, wherein the expression includes: a first expression describing the relationship between the rate of change of arc conductance g with time and the time characteristic τ, arc conductance g and static conductance G obtained based on the Mayr arc model, and a second expression describing the relationship between the time characteristic τ and the absolute value |i| of the arc current, wherein the second expression is in the form of a logarithmic function;

[0023] A parameter value determination unit, configured to obtain parameter values ​​of various parameters in the expression of the arc model by experimentally measuring the distribution network, wherein the parameters include: parameters in the second expression;

[0024] An arc model building unit, used for substituting the parameter value of each parameter into the expression of the arc model to obtain the arc model;

[0025] A distribution network arc simulation unit is used to perform distribution network arc simulation based on the arc model.

[0026] Optionally, the distribution network arc simulation device further includes:

[0027] An expression processing unit, used for obtaining a relational expression between the time characteristic τ and the arc conductance g and the static conductance G based on the first expression;

[0028] A differential form conversion unit, used for converting the relational expression into a differential form expression;

[0029] A time characteristic data calculation unit is used to obtain data τ(t) of the time characteristic τ changing with time by an iterative calculation method based on the differential expression and using the arc conductance g and static conductance G obtained by experimental measurement;

[0030] The fitting unit is used to fit the second expression according to the data τ(t), with the absolute value |i| of the arc current i as the horizontal axis and the value of the time characteristic τ as the vertical axis.

[0031] In order to achieve the above-mentioned purpose, according to another aspect of the present invention, a computer device is also provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned distribution network arc simulation method when executing the computer program.

[0032] In order to achieve the above-mentioned purpose, according to another aspect of the present invention, a computer-readable storage medium is further provided, on which a computer program / instruction is stored, and when the computer program / instruction is executed by a processor, the steps of the above-mentioned distribution network arc simulation method are implemented.

[0033] In order to achieve the above object, according to another aspect of the present invention, a computer program product is further provided, comprising a computer program / instruction, which implements the steps of the above distribution network arc simulation method when executed by a processor.

[0034] The beneficial effects of the present invention are:

[0035] The present invention improves the Mayr arc model and proposes a new arc model, which improves the accuracy of describing the dynamic characteristics of the arc. The arc model proposed in the present invention uses differential equations to describe the change of conductivity, and re-fits the parameters of the time characteristics based on measured data, thereby improving the adaptability of the arc model to different working conditions, thereby improving the accuracy of distribution network arc simulation. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art descriptions. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0037] Figure 1 is a first flow chart of the arc simulation method for a distribution network according to an embodiment of the present invention;

[0038] Figure 2 is a second flow chart of the arc simulation method for a distribution network according to an embodiment of the present invention;

[0039] Figure 3 are arc model parameters under different working conditions of the embodiment of the present invention;

[0040] Figure 4 It is a first structural block diagram of the arc simulation device for a distribution network according to an embodiment of the present invention;

[0041] Figure 5 is a second structural block diagram of the arc simulation device for a distribution network according to an embodiment of the present invention;

[0042] Figure 6 It is a schematic diagram of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0044] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, 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.) containing computer-usable program code.

[0045] It should be noted that the terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the above-mentioned drawings are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or apparatus.

[0046] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0047] Figure 1 is a first flow chart of the arc simulation method for distribution network according to an embodiment of the present invention, such as Figure 1 As shown, in one embodiment of the present invention, the distribution network arc simulation method of the present invention includes steps S101 to S104.

[0048] Step S101, obtaining an expression of a preset arc model, wherein the expression includes: a first expression based on the Mayr arc model describing the relationship between the rate of change of arc conductivity g with time and the time characteristic τ, the arc conductivity g and the static conductivity G, and a second expression describing the relationship between the time characteristic τ and the absolute value |i| of the arc current, wherein the second expression is in the form of a logarithmic function.

[0049] In one embodiment of the present invention, the first expression of the present invention is specifically:

[0050]

[0051] The first expression can be called the cybernetic form of the arc conduction model. It describes the dynamic behavior of the arc conductance g over time. In the study of power systems or arc phenomena, the equation of the first expression can be called a simplified Mayr arc model because it is related to the classical Mayr arc model, especially for describing the dynamic changes of arc conduction characteristics.

[0052] In the present invention, the first expression is specifically derived based on the Mayr arc model, and this part is the prior art and will not be described in detail in the present invention.

[0053] The expression of Mayr arc model is:

[0054]

[0055] Among them, θ M is the arc time constant, P loss is the power dissipated per unit volume of the arc, both of which are constants.

[0056] Step S102, obtaining parameter values ​​of various parameters in the expression of the arc model by experimentally measuring the distribution network, wherein the parameters include: parameters in the second expression.

[0057] In one embodiment of the present invention, the second expression is specifically:

[0058] τ=MIn |i|+N

[0059] Wherein, τ is the time characteristic, i is the arc current, M is the first time characteristic constant, and N is the second time characteristic constant.

[0060] The parameters in the second expression are the first time characteristic constant and the second time characteristic constant.

[0061] Step S103, substituting the parameter value of each parameter into the expression of the arc model to obtain the arc model.

[0062] Step S104: performing arc simulation of the distribution network based on the arc model.

[0063] It can be seen that the present invention improves the Mayr arc model and proposes a new arc model, which improves the accuracy of the description of the arc dynamic characteristics. The arc model proposed in the present invention uses differential equations to describe the change of conductivity, and based on the measured data, re-fits the parameters of the time characteristics, thereby improving the adaptability of the arc model to different working conditions, thereby improving the accuracy of the distribution network arc simulation.

[0064] Figure 2 is a second flow chart of the arc simulation method for distribution network according to an embodiment of the present invention, such as Figure 2 As shown, in one embodiment of the present invention, the process of refitting the parameters of the time characteristics based on the measured data includes steps S201 to S204.

[0065] Step S201, obtaining a relational expression of the relationship between the time characteristic τ and the arc conductance g and the static conductance G based on the first expression.

[0066] In the present invention, there is an obvious linear relationship between the static conductivity G and the arc current i. The static conductivity G can be written as:

[0067]

[0068] Among them, i is the arc current and Va is the voltage constant, which is a constant.

[0069] It can be seen from the first expression above that when the rate of change of arc conductance with time dg / dt is zero, the static conductance G and the instantaneous conductance g are equal and have nothing to do with τ, that is, G = |i| / Va = g, which means that Va is exactly the arc voltage at this time.

[0070] In one embodiment of the present invention, the relationship between the time characteristic τ and the arc conductance g and the static conductance G is specifically expressed as:

[0071]

[0072] Step S202, converting the relational expression into a differential expression.

[0073] In one embodiment of the present invention, the differential expression is specifically:

[0074]

[0075] Step S203, based on the differential expression, using the arc conductance g and the static conductance G obtained by experimental measurement, an iterative calculation method is used to obtain data τ(t) of the time characteristic τ changing with time.

[0076] The arc conductance g obtained by the experiment and the static conductance G just obtained in the present invention can be used to obtain the series τ(t) of the time characteristic τ by using an iterative calculation method.

[0077] Step S204, according to the data τ(t), the absolute value |i| of the arc current i is used as the horizontal axis, and the value of the time characteristic τ is used as the vertical axis, and then the second expression is obtained by fitting.

[0078] Compared with time t, the change of time characteristic τ is obviously more closely related to the characteristics of the arc itself. In order to find the change law of τ, the present invention uses the absolute value of arc current |i| as the horizontal axis and the value of τ as the vertical axis, and finds that the time characteristic τ can be approximated by a logarithmic function of current, thereby fitting the expression of the relationship between time characteristic τ and the absolute value of arc current |i|, that is, the second expression. The second expression is:

[0079] τ=MIn |i|+N

[0080] Wherein, τ is the time characteristic, i is the arc current, M is the first time characteristic constant, and N is the second time characteristic constant.

[0081] M and N are two unknown constants obtained by fitting. No polynomial is used in fitting τ because if the order is too high, there will be too many coefficients, and if the order is too low, the fitting effect will be poor.

[0082] In one embodiment of the present invention, the expression further includes: a third expression describing the linear relationship between the static conductivity G and the absolute value |i| of the arc current; and the parameters further include: the parameters in the third expression.

[0083] In the present invention, there is an obvious linear relationship between the static conductivity G and the arc current i, and the third expression can be specifically:

[0084]

[0085] Among them, Va is the voltage constant, which is a constant.

[0086] The parameter in the third expression is specifically the voltage constant Va.

[0087] In a specific embodiment of the present invention, the arc model proposed by the present invention is expressed as:

[0088]

[0089] Wherein, g is instantaneous conductance, t is time, τ is time characteristic, G is static conductance, i is arc current, Va is voltage constant, M is first time characteristic constant, and N is second time characteristic constant; For the first expression, τ = MIn |i|+N For the second expression, is the third expression; the parameters include: the voltage constant, the first time characteristic constant and the second time characteristic constant.

[0090] The main difference between the arc model proposed in the present invention and the previous model is that the expression of the time characteristic τ adopts a logarithmic form that is more consistent with the test data. The present invention calculates the model parameters under different working conditions based on actual test data. Figure 3 The two parameters of the time characteristic τ change slightly, and M is maintained at 2.3×10 -4 to 3×10 -4 The parameter Va of the static conductivity G varies greatly, ranging from tens to thousands of volts. From the table, it can be found that under low resistance, Va is generally small, below 100, while under high resistance, the variation range is large, ranging from 100V to 1000V.

[0091] It can be seen from the above embodiments that the present invention proposes an improved distribution network arc model, which solves the problem that the parameters of the traditional model are fixed under complex working conditions and it is difficult to accurately describe the dynamic changes of the arc by introducing the logarithmic function expression of the arc time characteristics based on measured data. The model can more accurately reflect the actual behavior of the arc in the distribution network, provide strong support for the fault analysis, protection strategy formulation and arc suppression technology research of the distribution network, and significantly improve the safety and reliability of the distribution network.

[0092] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0093] Based on the same inventive concept, an embodiment of the present invention also provides a distribution network arc simulation device, which can be used to implement the distribution network arc simulation method described in the above embodiment, as described in the following embodiment. Since the principle of solving the problem by the distribution network arc simulation device is similar to that of the distribution network arc simulation method, the embodiment of the distribution network arc simulation device can refer to the embodiment of the distribution network arc simulation method, and the repeated parts will not be repeated. As used below, the term "unit" or "module" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, the implementation of hardware, or a combination of software and hardware, is also possible and conceived.

[0094] Figure 4 is a first structural block diagram of the arc simulation device for a distribution network according to an embodiment of the present invention, such as Figure 4 As shown, in one embodiment of the present invention, the distribution network arc simulation device of the present invention includes:

[0095] The arc model expression acquisition unit 1 is used to acquire an expression of a preset arc model, wherein the expression includes: a first expression describing the relationship between the rate of change of arc conductance g with time and the time characteristic τ, arc conductance g and static conductance G obtained based on the Mayr arc model, and a second expression describing the relationship between the time characteristic τ and the absolute value |i| of the arc current, wherein the second expression is in the form of a logarithmic function;

[0096] A parameter value determination unit 2 is used to obtain the parameter value of each parameter in the expression of the arc model by experimentally measuring the distribution network, wherein the parameters include: the parameters in the second expression;

[0097] The arc model building unit 3 is used to substitute the parameter value of each parameter into the expression of the arc model to obtain the arc model;

[0098] The distribution network arc simulation unit 4 is used to perform distribution network arc simulation based on the arc model.

[0099] Figure 5 is a second structural block diagram of the arc simulation device for a distribution network according to an embodiment of the present invention, such as Figure 5 As shown, in one embodiment of the present invention, the distribution network arc simulation device of the present invention further includes:

[0100] An expression processing unit 5, used for obtaining a relational expression between the time characteristic τ and the arc conductance g and the static conductance G based on the first expression;

[0101] A differential form conversion unit 6, used for converting the relational expression into a differential form expression;

[0102] The time characteristic data calculation unit 7 is used to obtain the data τ(t) of the time characteristic τ changing with time by iterative calculation based on the differential expression and using the arc conductance g and static conductance G obtained by experimental measurement;

[0103] The fitting unit 8 is used to fit the second expression according to the data τ(t), taking the absolute value |i| of the arc current i as the horizontal axis and the value of the time characteristic τ as the vertical axis.

[0104] In order to achieve the above object, according to another aspect of the present application, a computer device is also provided. Figure 6 As shown, the computer device includes a memory, a processor, a communication interface and a communication bus. A computer program that can be executed on the processor is stored in the memory. When the processor executes the computer program, the steps in the above-mentioned embodiment method are implemented.

[0105] The processor may be a central processing unit (CPU). The processor may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0106] The memory, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs and units, such as the corresponding program units in the above method embodiments of the present invention. The processor executes various functional applications of the processor and works data processing by running the non-transitory software programs, instructions and modules stored in the memory, that is, implementing the method in the above method embodiments.

[0107] The memory may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created by the processor, etc. In addition, the memory may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0108] The one or more units are stored in the memory, and when executed by the processor, the method in the above embodiment is performed.

[0109] The specific details of the above-mentioned computer device can be understood by referring to the corresponding related descriptions and effects in the above-mentioned embodiments, and will not be repeated here.

[0110] In order to achieve the above purpose, according to another aspect of the present application, a computer-readable storage medium is also provided, wherein the computer-readable storage medium stores a computer program, and the computer program implements the steps in the above-mentioned distribution network arc simulation method when executed in a computer processor. Those skilled in the art can understand that the implementation of 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 program can be stored in a computer-readable storage medium, and the program can include the processes of the embodiments of the above-mentioned methods when executed. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (Flash Memory), a hard disk (Hard Disk Drive, abbreviated as: HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0111] In order to achieve the above-mentioned purpose, according to another aspect of the present application, a computer program product is also provided, including a computer program / instruction, which implements the steps of the above-mentioned distribution network arc simulation method when executed by a processor.

[0112] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0113] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A distribution network arc simulation method, characterized in that: include: Obtaining an expression of a preset arc model, wherein the expression includes: a first expression describing the relationship between the rate of change of arc conductance g with time and the time characteristic τ, arc conductance g and static conductance G obtained based on the Mayr arc model, and a second expression describing the relationship between the time characteristic τ and the absolute value |i| of the arc current, wherein the second expression is in the form of a logarithmic function; The parameter values ​​of the parameters in the expression of the arc model are obtained by experimentally measuring the distribution network, wherein the parameters include: the parameters in the second expression; Substituting the parameter value of each parameter into the expression of the arc model to obtain the arc model; The arc simulation of the distribution network is performed based on the arc model.

2. The arc simulation method for distribution network according to claim 1, characterized in that: Also includes: Based on the first expression, a relational expression is obtained for the relationship between the time characteristic τ and the arc conductance g and the static conductance G; Convert the relational expression into a differential expression; Based on the differential expression, the arc conductance g and static conductance G obtained by experimental measurement are used to obtain the data τ(t) of the time characteristic τ changing with time by an iterative calculation method; According to the data τ(t), the absolute value |i| of the arc current i is used as the horizontal axis, and the value of the time characteristic τ is used as the vertical axis, and then the second expression is obtained by fitting.

3. The arc simulation method for distribution network according to claim 2, characterized in that: The second expression is specifically: τ=MIn |i|+N Among them, τ is the time characteristic, i is the arc current, M is the first time characteristic constant, and N is the second time characteristic constant; the parameters include: the first time characteristic constant and the second time characteristic constant.

4. The arc simulation method for distribution network according to claim 1, characterized in that: The expression also includes: a third expression describing the linear relationship between the static conductance G and the absolute value |i| of the arc current; and the parameters also include: the parameters in the third expression.

5. The arc simulation method for distribution network according to claim 4, characterized in that: The expression of the arc model is: Wherein, g is instantaneous conductance, t is time, τ is time characteristic, G is static conductance, i is arc current, Va is voltage constant, M is first time characteristic constant, and N is second time characteristic constant; For the first expression, τ = MIn |i|+N For the second expression, is the third expression; the parameters include: the voltage constant, the first time characteristic constant and the second time characteristic constant.

6. A distribution network arc simulation device, characterized in that: include: An arc model expression acquisition unit, used for acquiring an expression of a preset arc model, wherein the expression comprises: a first expression describing the relationship between the rate of change of arc conductance g with time and the time characteristic τ, arc conductance g and static conductance G obtained based on the Mayr arc model, and a second expression describing the relationship between the time characteristic τ and the absolute value |i| of the arc current, wherein the second expression is in the form of a logarithmic function; A parameter value determination unit, configured to obtain parameter values ​​of various parameters in the expression of the arc model by experimentally measuring the distribution network, wherein the parameters include: parameters in the second expression; An arc model building unit, used for substituting the parameter value of each parameter into the expression of the arc model to obtain the arc model; A distribution network arc simulation unit is used to perform distribution network arc simulation based on the arc model.

7. The arc simulation device for distribution network according to claim 6, characterized in that: Also includes: An expression processing unit, used for obtaining a relational expression between the time characteristic τ and the arc conductance g and the static conductance G based on the first expression; A differential form conversion unit, used for converting the relational expression into a differential form expression; A time characteristic data calculation unit is used to obtain data τ(t) of the time characteristic τ changing with time by an iterative calculation method based on the differential expression and using the arc conductance g and static conductance G obtained by experimental measurement; The fitting unit is used to fit the second expression according to the data τ(t), with the absolute value |i| of the arc current i as the horizontal axis and the value of the time characteristic τ as the vertical axis.

8. The arc simulation device for distribution network according to claim 7, characterized in that: The second expression is specifically: τ=MIn |i|+N Among them, τ is the time characteristic, i is the arc current, M is the first time characteristic constant, and N is the second time characteristic constant; the parameters include: the first time characteristic constant and the second time characteristic constant.

9. The arc simulation device for distribution network according to claim 6, characterized in that: The expression also includes: a third expression describing the linear relationship between the static conductance G and the absolute value |i| of the arc current; and the parameters also include: the parameters in the third expression.

10. The arc simulation device for distribution network according to claim 9, characterized in that: The expression of the arc model is: Wherein, g is instantaneous conductance, t is time, τ is time characteristic, G is static conductance, i is arc current, Va is voltage constant, M is first time characteristic constant, and N is second time characteristic constant; For the first expression, τ = MIn |i|+N For the second expression, is the third expression; the parameters include: the voltage constant, the first time characteristic constant and the second time characteristic constant.

11. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 5 are implemented.

12. A computer-readable storage medium having a computer program / instruction stored thereon, characterized in that: When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

13. A computer program product comprising a computer program / instructions, characterized in that When the computer program / instructions are executed by a processor, the steps of the method according to any one of claims 1 to 5 are implemented.

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