Gas leakage simulation method of power equipment, electronic equipment and storage medium

Abstract

The invention discloses a gas leakage simulation method of power equipment, electronic equipment and a storage medium. The method comprises the steps that a gas leakage simulation model corresponding to the power equipment is constructed, the gas leakage simulation model is used for simulating a gas leakage fault of the power equipment, a gas leakage opening and a gas extraction opening are formed in the gas leakage simulation model, and gas in the power equipment leaks at the gas leakage opening and the gas extraction opening; at least one control equation of the gas is determined, and different control equations are used for controlling different flow characteristics of the gas in the power equipment; boundary conditions of gas flowing at the gas leakage opening and the gas extraction opening are determined; and based on the at least one control equation, the boundary condition and the gas leakage simulation model, performing simulation solution on a gas leakage fault of the power equipment to obtain a simulation result. According to the invention, the technical problem of low safety of power equipment is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of power equipment, in particular to a gas leakage simulation method of power equipment, an electronic device and a storage medium. BACKGROUND

[0002] Sulfur Hexafluoride (SF6) gas, as the main insulation and arc-extinguishing medium of high-voltage switchgear and other electrical equipment, is widely used in modern power grid systems due to its excellent electrical properties. However, the leakage of SF6 gas not only affects the insulation performance of the equipment and the safe operation of the power grid, but also the complex decomposition products can pose a serious threat to human health and the environment. The existing technology still has deficiencies in describing the diffusion law of SF6 gas and its decomposition products after leakage, thereby it is difficult to clearly understand the diffusion law of SF6 gas and its decomposition products, leading to difficulty in accurately predicting whether gas leakage occurs in power equipment, and further leading to low safety of power equipment.

[0003] In view of the above problems, no effective solution has been proposed so far. SUMMARY

[0004] The embodiments of the present application provide a gas leakage simulation method of power equipment, an electronic device and a storage medium, to at least solve the technical problem of low safety of power equipment.

[0005] According to an aspect of the embodiments of the present application, a gas leakage simulation method of power equipment is provided, comprising: constructing a gas leakage simulation model corresponding to the power equipment, wherein the gas leakage simulation model is used to simulate a gas leakage fault of the power equipment, a gas leakage port and a gas suction port are set on the gas leakage simulation model, and gas in the power equipment leaks at the gas leakage port and the gas suction port; determining at least one control equation of the gas, wherein different control equations are used to control different flow characteristics of the gas in the power equipment; determining a boundary condition of the gas flowing at the gas leakage port and the gas suction port; based on the at least one control equation, the boundary condition and the gas leakage simulation model, simulating and solving the gas leakage fault occurred in the power equipment to obtain a simulation result, wherein the simulation result is used to represent the diffusion of the gas in the power equipment over time.

[0006] Further, the construction of the gas leakage simulation model corresponding to the power equipment comprises: based on the structural parameters and the preset position parameters of the power equipment, constructing an initial leakage simulation model, wherein the preset position parameters are used to represent the positions of the pre- reserved gas leakage port and the gas suction port; based on the preset grid size, the initial leakage simulation model is divided into a grid to obtain the gas leakage simulation model.

[0007] Further, the initial leakage simulation model is meshed based on preset mesh sizes to obtain a gas leakage simulation model, including: dividing the target region in the initial leakage simulation model according to a first mesh size in the preset mesh sizes, wherein the target region includes the gas leakage port and the gas suction port, and a wall surface adjacent to the gas leakage port or the gas suction port; and dividing other regions in the initial leakage simulation model according to a second mesh size in the preset mesh sizes, wherein the second mesh size is greater than the first mesh size, and the other regions are regions other than the target region.

[0008] Further, the at least one control equation includes at least one of a mass conservation equation, a momentum conservation equation, an energy conservation equation, and a turbulence model equation.

[0009] Further, the boundary conditions for gas flowing through the gas leakage port and the gas suction port are determined, including: determining leakage boundary conditions of the gas leakage port based on size parameters of the gas leakage port, wherein the leakage boundary conditions include leakage port pressure conditions, leakage port temperature conditions, and leakage port turbulence intensity of the gas leakage port; and determining outlet boundary conditions of the gas suction port based on size parameters of the gas suction port, wherein the outlet boundary conditions include outlet pressure conditions, outlet temperature conditions, and outlet turbulence intensity of the gas leakage port.

[0010] Further, the gas leakage fault occurring in the power equipment is simulated and solved based on the at least one control equation, the boundary conditions, and the gas leakage simulation model to obtain a simulation result, including: generating a discrete equation of each mesh in the gas leakage simulation model based on the at least one control equation and preset control parameters, wherein the discrete equation is used to simulate the diffusion of gas in each mesh over time; solving the preset control parameters based on the boundary conditions to obtain target control parameters; and inputting the target control parameters into the discrete equation of each mesh to obtain the simulation result.

[0011] Further, the target control parameters are obtained by solving the preset control parameters based on the boundary conditions, including: solving the discrete equation of each mesh based on the boundary conditions to obtain solved control parameters; in a case where the solved control parameters do not satisfy a convergence condition, continuing to perform the step of solving the discrete equation of each mesh based on the boundary conditions until the solved control parameters satisfy the convergence condition; in a case where a current solving frequency does not satisfy a preset solving frequency, repeatedly performing the steps of updating the discrete equation of each mesh based on the solved control parameters to obtain an updated equation of each mesh, and solving the updated equation of each mesh based on the boundary conditions until the current solving frequency satisfies the preset solving frequency; and in a case where the current solving frequency satisfies the preset solving frequency, determining the solved control parameters as the target control parameters.

[0012] According to another aspect of the embodiments of the present application, a device for simulating gas leakage of a power equipment is provided, comprising: a constructing module configured to construct a gas leakage simulation model corresponding to the power equipment, wherein the gas leakage simulation model is configured to simulate a gas leakage fault of the power equipment, and the gas leakage simulation model is provided with a gas leakage port and a gas suction port, and the gas in the power equipment leaks at the gas leakage port and the gas suction port; a first determining module configured to determine at least one control equation of the gas, wherein different control equations are configured to control different flow characteristics of the gas in the power equipment; a second determining module configured to determine a boundary condition of the gas flowing at the gas leakage port and the gas suction port; and a solving module configured to simulate and solve the gas leakage fault of the power equipment based on the at least one control equation, the boundary condition and the gas leakage simulation model, and obtain a simulation result, wherein the simulation result is configured to represent a diffusion condition of the gas in the power equipment over time.

[0013] According to another aspect of the embodiments of the present application, an electronic device is also provided, comprising: a memory storing an executable program; and a processor configured to run the program, wherein the program is configured to execute the method in the embodiments of the present application when running.

[0014] According to another aspect of the embodiments of the present application, a computer readable storage medium is also provided, comprising a stored executable program, wherein the computer readable storage medium is configured to control a device where the computer readable storage medium is located to execute the method in the embodiments of the present application when the executable program runs.

[0015] According to another aspect of the embodiments of the present application, a computer program product is also provided, comprising a computer program, wherein the computer program is configured to implement the method in the embodiments of the present application when executed by a processor.

[0016] According to another aspect of the embodiments of the present application, a computer program product is also provided, comprising a non-volatile computer readable storage medium, wherein the non-volatile computer readable storage medium stores a computer program, and the computer program is configured to implement the method in the embodiments of the present application when executed by a processor.

[0017] According to another aspect of the embodiments of the present application, a computer program is also provided, wherein the computer program is configured to implement the method in the embodiments of the present application when executed by a processor.

[0018] In the embodiment of the present application, first, a gas leakage simulation model corresponding to the power equipment is constructed; then, at least one control equation of the gas is determined; secondly, boundary conditions of the gas flowing at the gas leakage port and the gas suction port are determined; finally, based on the at least one control equation, the boundary conditions and the gas leakage simulation model, a gas leakage fault occurring in the power equipment is simulated and solved to obtain a simulation result. It is easy to note that, by establishing the gas leakage simulation model corresponding to the power equipment, the present application obtains a simulation model capable of simulating the gas leakage of the power equipment, and at the same time, the gas leakage port and the gas suction port are set on the gas leakage simulation model to pay attention to the key area where the gas leakage may occur in the power equipment; then, by the at least one control equation, the gas leakage simulation model can combine different flow characteristics of the gas to more accurately simulate the diffusion behavior when the gas leaks; secondly, by setting the boundary conditions at the gas leakage port and the gas suction port, the simulation process is closer to the real environment, and the reliability of the result is enhanced; finally, by accurately setting the control equation and the boundary conditions, the simulation and solving method achieves the technical purpose of high-precision description of the diffusion law after the gas leakage, and realizes the technical effect of accurately predicting whether a gas leakage accident occurs in the power equipment, so that the power equipment that may leak gas can be quickly disposed of based on the simulation result, thereby solving the technical problem of low safety of the power equipment. BRIEF DESCRIPTION OF DRAWINGS

[0019] The accompanying drawings, which are included to provide a further understanding of the present application and are incorporated in and constitute a part of this application, illustrate embodiments of the present application and together with the description serve to explain the present application. In the drawings:

[0020] Figure 1 is a flow chart of a gas leakage simulation method of a power equipment according to an embodiment of the present application;

[0021] Figure 2 is a schematic diagram of an initial leakage simulation model according to an embodiment of the present application;

[0022] Figure 3 is a schematic diagram of a gas leakage simulation model after mesh division according to an embodiment of the present application;

[0023] Figure 4 is a simulation and solving flow chart according to an embodiment of the present application;

[0024] Figure 5 is a non-steady-state iterative solving flow chart according to an embodiment of the present application;

[0025] Figure 6 is a schematic diagram of a gas leakage simulation device of a power equipment according to an embodiment of the present application. DETAILED DESCRIPTION

[0026] In order to better understand the technical scheme of the present application, the technical scheme in the embodiments of the present application will be described clearly and completely below in conjunction with the accompanying drawings of the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts should fall within the protection scope of the present application.

[0027] It should be noted that the terms "first", "second", and the like in the specification and claims of the present application and the above-described accompanying drawings are used to distinguish similar objects, and do not necessarily indicate a specific order or a chronological sequence. It should be understood that the data thus used can be interchanged under appropriate circumstances, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but can include other steps or units that are not clearly listed or inherent to the process, method, product, or device.

[0028] According to the embodiments of the present application, an embodiment of a gas leakage simulation method of a power device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0029] Figure 1 is a flowchart of a gas leakage simulation method of a power device according to an embodiment of the present application, as shown in Figure 1 The method comprises the following steps:

[0030] In step S102, a gas leakage simulation model corresponding to the power device is constructed, wherein the gas leakage simulation model is used to simulate a gas leakage fault of the power device, the gas leakage simulation model is provided with a gas leakage port and a gas suction port, and the gas in the power device leaks at the gas leakage port and the gas suction port.

[0031] The power equipment can refer to high-voltage power equipment using gas as an insulation and arc-extinguishing medium, and the type of the power equipment can include, but is not limited to, a gas-insulated metal-enclosed switchgear (GIS), a circuit breaker, a transformer, a mutual inductor, and the like, and a specific power equipment needs to be determined according to an actual simulation target, which is not limited herein. The power equipment in the present application can serve as a data basis for constructing a gas leakage simulation model.

[0032] The gas leakage simulation model can refer to a virtual model of an internal structure of the power equipment created by a three-dimensional modeling technique. The gas leakage simulation model not only includes a main structure of the power equipment, but also identifies positions of a gas leakage port and a gas extraction port, and other key parts inside the equipment, such as a radiator, a connecting pipeline, and the like. The type of the gas leakage simulation model can include, but is not limited to, a GIS gas leakage simulation model, a circuit breaker gas leakage simulation model, a transformer gas leakage simulation model, a mutual inductor gas leakage simulation model, and the like. A specific gas leakage simulation model needs to be determined according to a type of the power equipment for which gas leakage simulation is required, which is not limited herein. The gas leakage simulation model can be used to simulate a process in which SF6 gas leaks from inside the power equipment to the surrounding environment under specific conditions.

[0033] The gas leakage fault can refer to an unintended release of gas inside the power equipment due to poor sealing of the equipment, material aging, improper construction, and the like. By identifying the gas leakage fault, the power enterprise can take necessary measures in a timely manner to avoid greater economic losses and safety accidents.

[0034] The gas leakage port can refer to an opening through which gas abnormally leaks in the power equipment. The shape of the gas leakage port can be circular, square, or the like. The shape and size of the gas leakage port need to be determined according to actual simulation requirements, which are not limited herein. The gas leakage port can be used to control initial conditions of gas leakage, such as a leakage speed, a pressure, a temperature, and the like, in a simulation process, thereby affecting a mode and a range of gas diffusion.

[0035] The gas extraction port can refer to an opening or a device used to extract or control the flow of gas in the power equipment or a related environment control system. The gas extraction port can be connected to an air extraction fan or the like. The gas extraction port can be used to simulate a part of an emergency treatment measure in a gas leakage event, such as starting an air extraction system to reduce a concentration of leaked gas, to protect personnel safety, and to reduce environmental impact.

[0036] The above-mentioned gas can refer to an insulating, cooling or protective gas used in power equipment, and the type of gas can include but is not limited to sulfur hexafluoride (SF6), nitrogen, oil vapor, etc. The specific type of gas needs to be determined according to the actual gas used in the power equipment, which is not limited here. The gas plays multiple roles in the power equipment, such as insulation, cooling, sealing, and protecting the equipment from external interference. In the present application, the gas can refer to sulfur hexafluoride (SF6), which is a colorless, odorless and non-flammable gas. Due to its excellent electrical insulation performance and arc extinguishing characteristics, it is widely used in high-voltage power equipment. However, SF6 gas will sink due to gravity after leakage, and may decompose to produce toxic gases under the action of electric arc, posing a threat to the environment and personnel safety. Therefore, simulating the leakage of sulfur hexafluoride is beneficial to explore the diffusion characteristics of sulfur hexafluoride, thereby protecting personnel and environmental safety.

[0037] In an alternative embodiment, first, a gas leakage simulation model reflecting the actual flow conditions is established by accurately measuring the internal structure of the power equipment. Considering the balance between computational performance and solution accuracy, non-critical details in the model are appropriately simplified, such as deleting the accessories and small pipes of the main transformer case. Second, the positions of the gas leakage port and the gas suction port are clearly marked in the model. The gas leakage port simulates a broken pipe failure and is simplified as a circular hole with a diameter of 0.1 m, while the gas suction port is simplified as a circular outlet, but it is assumed to be closed during the simulation process.

[0038] By reproducing the internal structure of the power equipment, including the specific positions and forms of the gas leakage port and the gas suction port, the authenticity and accuracy of the gas leakage simulation model are ensured. Through the gas leakage simulation model, the present application can effectively predict and analyze the diffusion behavior of SF6 gas after leakage in the power equipment, providing strong technical support for ensuring the safe operation of power equipment, the health of maintenance personnel and environmental protection.

[0039] Step S104, determining at least one control equation for the gas, wherein different control equations are used to control different flow characteristics of the gas in the power equipment.

[0040] The above-mentioned control equation can refer to an equation used to describe the physical behavior of the gas. The type of control equation can include but is not limited to mass conservation equation, momentum conservation equation, energy conservation equation, and turbulence model equation, etc. The specific control equation can be determined according to the physical properties of the gas, which is not limited here. The control equation can be used to simulate the diffusion process after gas leakage, including the concentration distribution, velocity field, temperature change and turbulence characteristics of the gas, thereby providing a reliable theoretical basis for the design and maintenance of power equipment.

[0041] In an alternative embodiment, determining the control equations of gas flow is one of the key steps, which are used to describe the flow, diffusion and settling characteristics of SF6 gas and its decomposition products inside the internal space of the power equipment. Specifically, mass conservation equations, momentum conservation equations, energy conservation equations and turbulence equations can be used together to form a mathematical model of fluid flow. It is worth noting that according to the specific application scenario and the problem to be solved, the control equation can be one or more, which is not limited here. By accurately setting and solving this set of control equations, the present application can provide detailed simulation analysis of gas leakage inside GIS equipment, which not only helps to understand the physical mechanism of gas leakage, but also can guide the design of more effective gas leakage detection and processing strategies, reducing the potential harm to personnel safety and the environment.

[0042] In an alternative embodiment, the mass conservation equation is first used to ensure the total amount of mass during the gas leakage process, which is crucial for understanding the leakage amount and leakage rate; then, according to the complex flow environment inside the GIS equipment, the momentum conservation equation is introduced to control in X, Y and Z directions respectively, in order to accurately describe the direction and speed of gas leakage; in addition, considering that SF6 gas may be accompanied by energy changes during leakage, the energy conservation equation is used to control the energy distribution of the gas, which helps to analyze the temperature change during gas leakage; finally, in order to accurately capture the turbulent effect in the fluid, we choose the standard k-ε two-equation turbulence model, which describes the turbulent kinetic energy (k) and turbulent dissipation rate (ε) through control equations, so as to better simulate the dynamic behavior of gas under real conditions. The comprehensive use of these control equations makes the simulation results of gas more close to the actual situation, providing strong data support and technical guidance for subsequent gas leakage prevention, detection and processing.

[0043] Step S106, determining the boundary conditions of gas flow at the gas leakage port and the gas suction port.

[0044] The above boundary conditions can refer to the physical state of the boundary surface in the simulation region. The boundary conditions can include but are not limited to the boundary conditions of the gas leakage port and the boundary conditions of the gas suction port. The specific boundary conditions need to be determined according to the actual situation, which is not limited here. The boundary conditions can be used to describe the characteristics of the gas leakage point (gas leakage port) and the gas collection or discharge point (gas suction port), to ensure that the simulation process can reflect the real gas leakage situation.

[0045] In an optional embodiment, the determination method of the boundary condition can include but is not limited to the following ways: the first way is to set the boundary condition according to the actual working condition and environmental condition of the power equipment, for example, to obtain the pressure, temperature and mass flow rate of the leakage port through field measurement; the second way is to refer to relevant literature and industry experience to set reasonable boundary conditions if direct measurement data is difficult to obtain. For example, for SF6 gas leakage, the pressure and mass flow rate parameters in similar cases can be searched; the third way is that in the simulation model, the gas leakage port and the gas suction port can be simplified according to the actual situation, such as being regarded as a uniformly distributed pressure or mass flow boundary, so as to simplify the calculation and improve the solving efficiency. The above-mentioned determination methods of the boundary condition are only examples, and the specific determination method of the boundary condition needs to be selected according to the actual situation, which is not limited here.

[0046] In an optional embodiment, the boundary condition of the gas at the gas leakage port and the boundary condition of the gas at the gas suction port can be determined by actual measurement. By accurately setting the boundary conditions of the gas leakage port and the gas suction port, a more accurate GIS gas leakage simulation analysis can be provided, which is helpful to accurately predict the diffusion law of SF6 gas and its decomposition products in the room.

[0047] In an optional embodiment, for the gas leakage port, by studying the relationship between the leakage aperture and the diffusion time required for stability, the leakage port is simplified to a pipe with a diameter of 0.1 m, the mass flow rate is set to an extreme case to simulate the scene of a large amount of gas leaking instantaneously, the pressure is set to 0.15 MPa, and the temperature is set to 300 K. At the same time, the corresponding turbulent intensity and equivalent diameter are calculated according to the principle of fluid dynamics, so as to ensure that the physical characteristics of the leakage process are consistent with the actual situation. The filter device where the gas suction port is located is set as a pressure outlet with a pressure of 0 and a temperature of 290 K. The turbulent intensity and equivalent diameter are also set, but it is worth noting that when simulating gas diffusion leakage, the suction device is in the closed state, which means that the suction port does not participate in the gas flow, which helps to more realistically simulate the natural diffusion process after gas leakage without the influence of artificial suction. By setting the boundary conditions of the gas leakage port and the gas suction port, the diffusion path and speed of the gas leakage under various working conditions can be accurately predicted, which is crucial for evaluating the impact of leakage on the environment and equipment. The above values are only examples, and the specific values need to be determined according to the actual situation, which is not limited here.

[0048] In step S108, based on at least one control equation, boundary condition and gas leakage simulation model, the gas leakage fault occurred in the power equipment is simulated and solved to obtain a simulation result, wherein the simulation result is used to represent the diffusion of the gas in the power equipment over time.

[0049] The simulation solution can refer to calculating a physical model by a numerical method to obtain the distribution and variation of variables (such as velocity, pressure, temperature, and concentration) in the model. The simulation solution can be used to predict the diffusion path, velocity, range, and concentration distribution after gas leakage, help evaluate the impact of leakage on equipment operation and personnel safety, and the potential harm to the environment.

[0050] The simulation result can refer to the numerical or visual output about the state of the system being studied after the simulation solution is completed. The simulation result can include but is not limited to the concentration field, velocity field, temperature field, and pressure field after gas leakage. The specific simulation result needs to be determined according to the actual situation, which is not limited here. The simulation result can be used to evaluate the potential risk of gas leakage to personnel safety and equipment operation, and to design or adjust the detection and control system of gas leakage.

[0051] In an optional embodiment, a gas leakage simulation model reflecting the actual fluid motion law is established by accurately measuring the main equipment size of the main transformer room in the substation. Then, control equations suitable for gas leakage phenomena are selected, including mass conservation, momentum conservation, energy conservation equations, and standard k-ε model in the turbulence model, which can comprehensively describe the fluid flow, heat transfer, and mass transfer process. In the determination of boundary conditions, specific mass flow rate, pressure, temperature, and turbulence intensity are set for the gas leakage port and the gas suction port respectively to truly reflect the gas leakage process. Finally, the simulation calculation is performed by the unsteady solver of the fluid dynamics FLUENT software, and the simulation result of the diffusion of SF6 gas in the main transformer room with time is obtained, including the dynamic distribution of velocity field, temperature field, concentration field, and pressure field, thereby realizing the simulation analysis of the GIS equipment gas leakage fault.

[0052] In the embodiment of the present application, first, a gas leakage simulation model corresponding to the power equipment is constructed; then, at least one control equation of the gas is determined; secondly, the boundary conditions of the gas flowing through the gas leakage port and the gas suction port are determined; finally, the gas leakage fault occurring in the power equipment is simulated and solved based on the at least one control equation, the boundary conditions and the gas leakage simulation model, and a simulation result is obtained. It is easy to note that, by establishing the gas leakage simulation model corresponding to the power equipment, the present application obtains a simulation model capable of simulating the gas leakage of the power equipment, and at the same time, the gas leakage port and the gas suction port are set on the gas leakage simulation model to pay attention to the key areas where the gas leakage may occur in the power equipment; then, by the at least one control equation, the gas leakage simulation model can combine the different flow characteristics of the gas to more accurately simulate the diffusion behavior when the gas leaks; secondly, by setting the boundary conditions at the gas leakage port and the gas suction port, the simulation process is closer to the real environment, and the reliability of the result is enhanced; finally, by accurately setting the control equation and the boundary conditions, the simulation solving method achieves the technical purpose of high-precision description of the diffusion law after the gas leakage, and realizes the technical effect of accurate prediction of whether the gas leakage accident occurs in the power equipment, so that the power equipment that may leak gas can be quickly and safely disposed based on the simulation result, thereby solving the technical problem of low safety of the power equipment.

[0053] Optionally, the gas leakage simulation model corresponding to the power equipment is constructed, including: constructing an initial leakage simulation model based on the structural parameters of the power equipment and preset position parameters, wherein the preset position parameters are used to represent the positions of the pre-reserved gas leakage port and the gas suction port; and performing grid division on the initial leakage simulation model based on a preset grid size to obtain the gas leakage simulation model.

[0054] The structural parameters can be the geometric size and shape of the power equipment, and the structural parameters can include but are not limited to the length, width, height, pipe diameter, pipe length, etc. of the equipment. The specific structural parameters need to be determined according to the model construction requirements, which are not limited here. The structural parameters can be used to describe the real physical structure of the equipment, and are the basis for constructing the simulation model. Correct structural parameters can make the model closer to the actual situation, thereby improving the reliability of the simulation result.

[0055] The preset position parameters can be the specific positions of the gas leakage port and the gas suction port in the simulation model. The preset position parameters can include the coordinate positions of the leakage port and the suction port, the shape (such as circular, rectangular, etc.) of the leakage port, the size and position of the suction port, etc. The specific preset position parameters need to be determined according to the actual requirements, which are not limited here. The preset position parameters can be used to determine the positions of the leakage port and the suction port, so as to study the diffusion path and influence range of the gas after the gas leaks in the equipment and the surrounding environment.

[0056] The aforementioned preset mesh size refers to the size of the mesh cells used to divide the simulation model region. The preset mesh size may include, but is not limited to, a first mesh size and a second mesh size. The specific preset mesh size needs to be determined based on the model region and is not limited here. The choice of preset mesh size directly affects the accuracy and time of the calculation. A smaller mesh size can provide more refined calculation results, but it will increase the demand for computing resources and the calculation time; a larger mesh size can reduce the consumption of computing resources and the calculation time, but it may reduce the calculation accuracy.

[0057] The aforementioned initial leakage simulation model can refer to the original model constructed based on the structural parameters and preset location parameters of the power equipment before applying computational methods such as mesh generation.

[0058] The aforementioned mesh generation refers to dividing the simulation model region into multiple small units, each called a mesh or element. Mesh generation can be structured or unstructured. Structured meshes typically have regular shapes, such as hexahedrons, while unstructured meshes can accommodate more complex geometries, such as tetrahedrons or prisms. Adaptive mesh refinement techniques can also be used to automatically increase mesh density in regions with complex or critical fluid motion. The specific mesh generation method needs to be determined based on actual requirements and is not limited here. Mesh generation can be used to transform complex fluid dynamics equations into a series of algebraic equations on each mesh element, facilitating numerical solutions. The rationality of mesh generation directly affects the accuracy of simulation results and computational efficiency.

[0059] In one optional embodiment, firstly, based on the structural parameters of the power equipment, such as its size, shape, and the layout of its internal components, combined with preset location parameters—namely, the precise location of the gas leak and the installation location of the gas extraction port—an initial leakage simulation model is constructed. This model simplifies the complex internal structure of the power equipment into a computable geometric model, while simultaneously marking the key locations of gas leakage and extraction, providing a foundation for subsequent simulation analysis. Secondly, the initial leakage simulation model is meshed based on a preset mesh size. The selection of the mesh size must consider the complexity of fluid movement near the leak and extraction ports; typically, the mesh size for these areas is smaller to improve computational accuracy, while other areas are selected based on a balance between computational efficiency and accuracy. Mesh generation discretizes the continuous model space, creating conditions for numerical calculations using computational fluid dynamics (CFD) software. The gas leakage simulation model constructed through the above steps can accurately simulate the diffusion and sedimentation process of SF6 gas and its decomposition products after leakage within the power equipment. Compared to traditional experimental methods, this approach offers advantages such as lower cost, greater safety, and higher repeatability. It helps designers and maintenance personnel gain a more comprehensive understanding of the physical processes involved in gas leaks, enabling them to develop more effective leak prevention and emergency response strategies to ensure the safe operation of power equipment and the health of personnel.

[0060] In one alternative embodiment, Figure 2 This is a schematic diagram of an initial leakage simulation model according to an embodiment of the present invention, such as... Figure 2 As shown, the center of the image is a large indoor space, representing the main transformer room of a substation. On one side of the room, there is a complex piping system, with a valve on one of the pipes marked as a fault point, indicating that SF6 gas will leak from there. The leak point is simplified to a circular opening for better numerical simulation. Additionally, the image also shows an extraction vent at the other end of the room, which is also simplified to a circular opening, but during the simulation, the extraction device remains closed and does not participate in the gas diffusion process. This diagram clearly depicts the basic layout of the simulation model, providing an intuitive visual reference for subsequent mesh generation and numerical simulation.

[0061] Figure 3 This is a schematic diagram of a gas leakage simulation model after mesh generation according to an embodiment of the present invention, as shown below. Figure 3As shown, the entire computational domain of the main transformer chamber is filled with fine mesh cells, which exhibit a structured hexahedral form. Particularly noteworthy is the denser mesh near the leak and exhaust ports, reflecting the complexity and importance of fluid motion in these areas. By adjusting the mesh size and density, this invention selected approximately 2,134,000 mesh cells to balance computational accuracy and efficiency. This meshing ensures that the model accurately captures the dynamic behavior of the fluid, especially in areas of rapid velocity changes, thereby improving the reliability of the simulation analysis. The above values ​​are for illustrative purposes only; specific values ​​should be determined based on actual needs and are not limited here.

[0062] Optionally, the initial leakage simulation model is meshed based on a preset mesh size to obtain a gas leakage simulation model, including: dividing the target area in the initial leakage simulation model according to a first mesh size in the preset mesh size, wherein the target area includes: a gas leak outlet and a gas extraction outlet, as well as the wall adjacent to the gas leak outlet or the gas extraction outlet; dividing other areas in the initial leakage simulation model according to a second mesh size in the preset mesh size, wherein the second mesh size is larger than the first mesh size, and the other areas are areas other than the target area.

[0063] The aforementioned first grid size can refer to a finer grid size used for the target area. The first grid size is smaller than the second grid size. The specific size of the first grid size needs to be determined based on fluid characteristics (such as velocity and turbulence intensity), leak size, exhaust port size, and the required computational accuracy. It is not limited here. Using a smaller and finer grid size (first grid size) in the target area is beneficial for capturing details in fluid flow, such as turbulence, velocity gradient, and concentration changes, thereby improving the simulation accuracy of fluid motion characteristics near the leak and exhaust ports.

[0064] The aforementioned target region can refer to the part of the simulation model that needs special attention, usually the area where the fluid flow changes most drastically. The target region may include, but is not limited to, gas leaks and gas extraction ports, as well as the walls adjacent to these areas. The specific target region needs to be determined based on the detailed structure of the model, and is not limited here. More refined meshing in the target region helps to simulate the local behavior of the fluid more accurately.

[0065] The aforementioned wall can refer to the solid surface in the simulation model that is in contact with the fluid. The wall can include, but is not limited to, container walls, pipe walls, walls adjacent to gas leaks, and walls adjacent to gas extraction ports. The specific wall needs to be determined based on the actual structure of the model and the fluid flow path, and is not limited here. The meshing of the wall is crucial for simulating the interaction between the fluid and the solid surface, including the formation of the boundary layer and phenomena such as fluid adhesion or slippage on the wall.

[0066] The aforementioned second mesh size can refer to the mesh size used in other regions. The second mesh size is larger than the first mesh size, which means that there are fewer meshes in these regions. The specific value of the second mesh size can be in the range of decimeters to meters. The specific second mesh size needs to be determined based on the scale of the entire simulation model and the total computation time required. It is not limited here. Using a larger mesh size in other regions can reduce the computational load of the entire model, thereby improving computational efficiency, while ensuring that reasonable simulation accuracy can still be obtained in regions where fluid dynamics are not so significant.

[0067] The aforementioned other regions can refer to parts of the simulation model other than the "target region". The fluid characteristics of these regions change relatively slowly. Other regions may include, but are not limited to, the open areas inside the main transformer room, areas far from the leak and exhaust ports, and parts of the fluid diffusion path that change slowly. The specific other regions need to be determined based on the actual structure of the leak model. No restrictions are imposed here. Meshing other regions may result in slightly lower accuracy, but it can effectively balance computational accuracy and computational resources, ensuring the operability and economy of the entire simulation process.

[0068] In one alternative embodiment, the target region, including gas leaks and gas extraction ports, and the walls adjacent to these ports, is divided using a first mesh size. This ensures highly accurate simulation results in areas with the most complex fluid motion and significant turbulence. In these target regions, velocity and concentration gradients change dramatically; therefore, a finer mesh captures more detailed physical phenomena, improving simulation accuracy. For other regions in the model, i.e., those outside the target region, a second mesh size, larger than the first, is used to improve overall computational efficiency while maintaining sufficient accuracy. This differentiated meshing strategy significantly reduces computational resource consumption and shortens simulation time while maintaining computational accuracy. This not only ensures high-precision simulation results in critical areas such as gas leaks and extraction ports but also reduces computational load in other areas by using a larger mesh size, thus achieving more efficient and faster simulation analysis with limited computational resources.

[0069] Optionally, at least one governing equation includes at least one of the following: mass conservation equation, momentum conservation equation, energy conservation equation, and turbulence model equation.

[0070] The mass conservation equation mentioned above can refer to the continuity equation. The mass conservation equation describes the conservation of mass in a fluid system, that is, the mass flow rate of fluid through any closed system is constant. The mass conservation equation can be used to ensure that the total mass of the fluid remains constant during the flow process, and can help determine the distribution and concentration changes of gas at different time points.

[0071] The aforementioned momentum conservation equations describe the conservation principle governing the change of fluid momentum. There are three momentum conservation equations, corresponding to the momentum changes in the fluid along the x, y, and z directions, forming part of the well-known Navier-Stokes equations. In gas leak simulations, momentum changes in all three directions need to be considered. The momentum conservation equations can be used to calculate the fluid velocity field and how the fluid moves within the internal space of electrical equipment.

[0072] The energy conservation equation mentioned above can refer to the equation describing the conservation of energy in a fluid system. The energy conservation equation may include, but is not limited to, convection terms, heat conduction terms, and possible chemical reaction heat effect terms. The specific energy conservation equation needs to be determined according to actual needs, and is not limited here. In the case of gas leakage, the energy conservation equation helps to understand the temperature changes during the gas leakage process, thereby helping to judge the possible thermal effects of gas leakage on power equipment.

[0073] The aforementioned turbulence model equations can refer to a set of equations describing turbulent phenomena in fluids. These equations can include, but are not limited to, the k-ε model, the k-ω model, and the Reynolds stress model. The specific turbulence model equations need to be determined based on actual needs and are not limited here. The k-ε model is one of the most commonly used turbulence models, describing turbulent energy (k) and the turbulent energy dissipation rate (ε) through two partial differential equations (the k equation and the ε equation). For gas leaks, the turbulence equations can be used to describe the complex dynamic characteristics of fluids under turbulent conditions, including how turbulent vortices form and turbulent diffusion occurs, thus helping to analyze the diffusion and mixing processes of leaked gas inside electrical equipment.

[0074] In one alternative embodiment, firstly, the mass conservation equation allows tracking of the overall mass and concentration distribution of the gas during the leak process, which is crucial for understanding how the gas accumulates in an indoor environment. Secondly, the momentum conservation equation captures the turbulent effects accompanying gas leaks, particularly since SF6, being a heavy gas, is affected by its own gravity and surrounding airflow during leakage. This equation helps analyze how the gas deposits under gravity and diffuses in turbulent conditions. Thirdly, the energy conservation equation considers the thermodynamic effects during gas leaks, especially under high temperature and high pressure conditions, where leakage is accompanied by energy release, thus affecting its diffusion rate and path. Finally, the introduced turbulence model equations, such as the standard k-ε model, provide the necessary mathematical description of the complex turbulent phenomena during the simulation of gas leaks, ensuring the accuracy and reliability of the simulation results. By comprehensively applying the above governing equations, it is possible to comprehensively and meticulously simulate gas leaks from GIS equipment under various conditions, thereby revealing the leakage and diffusion patterns of SF6 gas and its decomposition products.

[0075] Optionally, the boundary conditions for gas flow at the gas leak and gas extraction ports are determined, including: determining the leakage boundary conditions of the gas leak based on the size parameters of the gas leak, wherein the leakage boundary conditions include: the leak pressure conditions, the leak temperature conditions, and the leak turbulence intensity of the gas leak; and determining the outlet boundary conditions of the gas extraction port based on the size parameters of the gas extraction port, wherein the outlet boundary conditions include: the outlet pressure conditions, the outlet temperature conditions, and the outlet turbulence intensity of the gas leak.

[0076] The aforementioned dimensional parameters can refer to specific values ​​describing the size, shape, and location of gas leaks or extraction ports. The types of dimensional parameters can include, but are not limited to, leak size parameters and extraction port size parameters. The specific dimensional parameters need to be determined according to actual needs and are not limited here. The dimensional parameters of the leak directly affect the flow rate and leakage rate of the leaked gas, thereby determining the diffusion range and speed of the gas in the space. The dimensional parameters of the extraction port determine the extraction capacity and efficiency of the extraction device and affect the speed at which indoor gas is removed.

[0077] The aforementioned leakage boundary conditions refer to the conditions given in gas leakage simulation analysis that describe the gas state at the leak point. Leakage boundary conditions may include, but are not limited to, leak point pressure conditions, leak point temperature conditions, and leak point turbulence intensity. The specific leakage boundary conditions need to be determined according to actual needs and are not limited here. Leakage boundary conditions can be used to simulate real leakage scenarios and help predict the diffusion mode, deposition behavior, and potential safety risks after gas leakage.

[0078] The aforementioned leak outlet pressure condition refers to the pressure of the gas at the leak point, which is the main driving force for gas leakage. The leak outlet pressure condition may include, but is not limited to, absolute pressure, relative pressure, etc. The specific leak outlet pressure condition needs to be determined according to actual needs, and is not limited here. Usually, in high-pressure environments, a higher pressure value is set as the boundary condition for SF6 gas leakage.

[0079] The aforementioned leak outlet temperature conditions refer to the temperature of the gas at the leak point. The leak outlet temperature conditions affect the gas density and hydrodynamic characteristics, thereby affecting the diffusion behavior of the leaked gas.

[0080] The turbulence intensity at the leak point mentioned above refers to the degree of irregularity in the flow of leaking gas. It is an indicator for measuring the amplitude of turbulence fluctuations. High turbulence intensity will cause the gas to be more dispersed and accelerate the diffusion process, while low turbulence intensity may cause the gas to diffuse in a more orderly manner.

[0081] The aforementioned outlet boundary conditions can refer to the conditions describing the gas state at the gas extraction port. The outlet boundary conditions may include, but are not limited to, outlet pressure conditions, outlet temperature conditions, and outlet turbulence intensity. The specific outlet boundary conditions need to be determined according to actual needs, and are not limited here. The outlet boundary conditions can be used to end the simulation of the gas flow trajectory and determine the initial state of the gas after it leaves the building.

[0082] The aforementioned outlet pressure condition refers to the pressure at the exhaust port, which is usually set at or below atmospheric pressure to promote gas discharge. The outlet pressure condition can be used to influence the rate and efficiency of gas discharge.

[0083] The aforementioned outlet temperature condition refers to the temperature of the gas at the extraction port. The outlet temperature helps to understand whether the gas is cooled during the discharge process, which affects the subsequent diffusion and environmental adaptability of the gas.

[0084] The aforementioned outlet turbulence intensity refers to the instability of the flow state when the gas leaves the exhaust port, which determines the diffusion range and shape of the gas after emission. The outlet turbulence intensity can be used to influence the mixing rate and diffusion effect of the gas after emission.

[0085] In one optional embodiment, the corresponding boundary conditions first need to be set based on the size parameters of the leak and extraction ports. For the gas leak, the boundary conditions mainly involve the leak pressure, leak temperature, and leak turbulence intensity. The setting of these parameters must take into account the physical properties of the leaking gas (such as SF6). For example, the density of SF6 at standard atmospheric pressure is much greater than that of air, which will affect its diffusion mode after leakage. For the gas extraction port, the setting of its outlet boundary conditions also depends on the size parameters of the extraction port. The outlet boundary conditions include: the outlet pressure, outlet temperature, and outlet turbulence intensity of the gas leak. The specific boundary conditions need to be determined based on the physical properties of the leaking gas and the leak simulation model, and are not limited here.

[0086] Determining the leakage and outlet boundary conditions using dimensional parameters allows for a more accurate reflection of gas flow characteristics during actual leakage and recovery processes, improving the reliability of simulation results. Considering the influence of gas physical properties and orifice size when setting the boundary conditions for the leakage and extraction ports not only reveals the diffusion patterns of SF6 gas and its decomposition products under different conditions but also evaluates the effectiveness of different extraction strategies. This has significant guiding value for preventing and handling gas leakage accidents in GIS equipment.

[0087] In one optional embodiment, for the leakage boundary conditions of the gas leak outlet, the leak outlet pressure condition is typically set based on the internal working pressure of the equipment, and can be set to 0.15 MPa; the leak outlet temperature condition is set based on the ambient temperature or the internal temperature of the equipment at the time of gas leakage, and can be set to 300 K; the turbulence intensity of the leak outlet can be set by consulting relevant literature or experimental data. Generally, the larger the leak outlet size, the greater the turbulence intensity, because a larger leak outlet can release more energy and form a more intense turbulence effect. For the outlet boundary conditions of the gas extraction port, the extraction port pressure condition is typically set to the ambient pressure, and can be set to 0 (equivalent to standard atmospheric pressure); the outlet temperature condition is set based on the ambient temperature, and can be set to 290 K; the turbulence intensity setting of the extraction port needs to consider the degree of disturbance to the gas flow during the extraction process. Larger extraction ports usually introduce higher turbulence intensity because they can attract and accelerate gas flow over a larger area. By accurately setting the boundary conditions of the extraction port, the recovery process after a gas leak can be simulated more realistically, which is crucial for evaluating safe recovery strategies after a leak event. The values ​​in the above process are for illustrative purposes only. The specific values ​​need to be determined based on the actual situation, and no limit is set here.

[0088] Optionally, based on at least one control equation, boundary conditions, and a gas leakage simulation model, the gas leakage fault occurring in the power equipment is simulated and solved to obtain simulation results, including: generating discrete equations for each grid in the gas leakage simulation model based on at least one control equation and preset control parameters, wherein the discrete equations are used to simulate the diffusion of gas in each grid over time; solving the preset control parameters based on boundary conditions to obtain target control parameters; and inputting the target control parameters into the discrete equations of each grid to obtain simulation results.

[0089] The aforementioned preset control parameters can refer to parameters set before the solution is started based on known conditions or assumptions. Preset control parameters may include, but are not limited to, the number of iterations, time step, relaxation factor, etc. The specific preset control parameters need to be determined according to actual needs, and are not limited here. Preset control parameters can be used to provide the solver with necessary information and constraints so that it can perform calculations based on these parameters.

[0090] The aforementioned discrete equations refer to applying the governing equations to each grid cell and transforming them into a computationally suitable form. These discrete equations can include, but are not limited to, discrete forms of the mass conservation equation, momentum conservation equation, energy conservation equation, and turbulence model equations. The specific discrete equations depend on the type of governing equation and are not limited here. These discrete equations can be used to describe the dynamic behavior of the fluid within each grid cell, including how the fluid moves from one grid cell to another and how it is affected by the surrounding environment during this movement. By solving these discrete equations, the fluid state within each grid cell at different time points, such as velocity, pressure, and concentration, can be obtained.

[0091] The aforementioned target control parameters can refer to control parameters determined after solving based on boundary conditions. Target control parameters may include, but are not limited to, the number of target iterations, the target time step, and the target relaxation factor. The specific target control parameters need to be determined based on the solution results, and are not limited here. Target control parameters can be used to improve the solution process, determine whether the simulation has converged, and ensure the accuracy and reliability of the final simulation results.

[0092] In one optional embodiment, firstly, based on preset control parameters and at least one control equation, discrete equations corresponding to each grid cell in the model are generated. These equations can describe in detail the diffusion behavior of gas under given time and space conditions. Then, by setting boundary conditions, such as the location and size of the leak, the pressure and temperature of the leaking gas, and the state of the indoor exhaust port, the parameters in the control equations are solved to obtain the target control parameters that best reflect the actual diffusion process. Finally, the target control parameters are substituted into the discrete equations of each grid cell, and through iterative calculation, the simulation results of the complete gas leakage diffusion situation are gradually approximated and finally obtained, including the gas concentration distribution over time, flow field state, and other information. The above process, through meticulous grid division and accurate solution of control equations, effectively improves the accuracy of the simulation results, especially in the description of the instantaneous gas leakage and the critical diffusion stage.

[0093] Optionally, the preset control parameters are solved based on boundary conditions to obtain the target control parameters, including: solving the discrete equations of each grid based on boundary conditions to obtain the solved control parameters; if the solved control parameters do not meet the convergence conditions, the step of solving the discrete equations of each grid based on boundary conditions is continued until the solved control parameters meet the convergence conditions; if the current number of solutions does not meet the preset number of solutions, the step of updating the discrete equations of each grid based on the solved control parameters to obtain the updated equations of each grid, and solving the updated equations of each grid based on boundary conditions is repeated until the current number of solutions meets the preset number of solutions; if the current number of solutions meets the preset number of solutions, the solved control parameters are determined as the target control parameters.

[0094] The aforementioned control parameters can refer to the physical quantities that need to be solved in the numerical simulation process. Control parameters include, but are not limited to, pressure distribution parameters, velocity vector parameters, temperature distribution parameters, component concentration parameters, etc. The specific control parameters need to be determined according to the fluid diffusion characteristics, which are not limited here. Control parameters can be used to describe the state of the fluid, and the dynamic behavior of the fluid can be predicted by solving the changes in these parameters.

[0095] The aforementioned convergence condition can refer to the criteria used in the numerical simulation process to determine whether the simulation result is close enough to the true solution. The convergence condition can be used to ensure the accuracy and reliability of the numerical solution. A solution that does not meet the convergence condition may be unstable or have a large error, and the solution process needs to continue.

[0096] The current number of solutions mentioned above can refer to the number of iterations or time steps that have been executed in the numerical simulation process. In the simulation process, each additional solution count theoretically makes the solution of the control parameters closer to the true solution. Tracking the current number of solutions helps to understand the simulation progress and decide when to stop the calculation.

[0097] The preset number of solutions can refer to the maximum number of iterations or time steps set before starting the simulation. The preset number of solutions can be used to limit the consumption of computing resources and avoid infinite loops or excessively long calculation times. If the convergence condition is not reached before the preset number of solutions is reached, it may be necessary to re-check the model settings or convergence conditions.

[0098] The aforementioned update equation can refer to the new discrete equation obtained by discretizing the control equation again in each solution iteration using numerical methods such as the finite volume method based on the control parameters of the previous solution. The update equation can be used to guide the solution of the next iteration or time step, reflecting the update of the fluid state as the control parameters change.

[0099] In one optional embodiment, firstly, based on pre-defined boundary conditions, the discrete equations within each grid cell are solved to obtain preliminary control parameters (such as velocity, temperature, pressure, and concentration). Next, if these preliminary control parameters do not meet a preset convergence condition (i.e., the parameters do not change significantly in several iterations), the process automatically returns to the solution step, and the grid discrete equations are solved again based on the boundary conditions. This process continues until the convergence condition is met. Furthermore, the solution process is executed iteratively until the current number of solutions reaches a pre-defined upper limit. In each iteration, the grid's discrete equations are updated based on the previous control parameters, further refining the solution. Once the preset number of solutions is reached, the final control parameters are determined as target control parameters, used to describe the diffusion of gas leaks in GIS indoor environments.

[0100] Through a dual guarantee mechanism of iterative solution and preset solution iterations, not only is the accuracy of the solution process ensured, but also computational efficiency and the reliability of the results are guaranteed. Furthermore, this method can precisely control key parameters such as SF6 gas leakage rate, pressure, and temperature, providing crucial data analysis and theoretical support for the safe operation of GIS equipment and emergency response after failures. By understanding and predicting the diffusion patterns of SF6 gas and its decomposition products within GIS rooms, the rational design of indoor ventilation systems and SF6 gas monitoring and recovery systems can be guided, thereby effectively reducing hazards to personnel safety and the environment.

[0101] In one alternative embodiment, Figure 4 This is a simulation solution flowchart according to an embodiment of the present invention, such as... Figure 4As shown, firstly, the governing equations are established, then the initial and boundary conditions are determined; then, the mesh is generated and computation nodes are created; further, discrete equations are established, discrete initial and boundary conditions are determined, and solution control parameters are given, and the discrete equations are solved; it is determined whether the solution converges. If the solution does not converge, the process of establishing discrete equations and solving is repeated until the solution converges; if the solution converges, the result is output.

[0102] The above process begins with importing the model mesh, followed by setting the governing equations, including conservation of mass, momentum, and energy. Next, the physical properties of the materials and boundary conditions are defined, which form the basis for simulating real fluid behavior. Then, the solution residuals and convergence criteria are set to determine the accuracy and stability of the calculation results. Finally, iterative calculations are performed until the set convergence conditions are met, and the results are output. Figure 4 Each step is clearly outlined, providing users with an operational guide and ensuring the effectiveness and accuracy of the numerical simulation.

[0103] In one alternative embodiment, Figure 5 This is a flowchart of an unsteady iterative solution according to an embodiment of the present invention, such as... Figure 5 As shown, Figure 5 The process includes time steps 1, 2, and n. After solving for time step 1, it checks if the control parameters have converged. If not, the process of solving for time step 1 is repeated until the control parameters converge. Then, time step 2 is solved, and the control parameters are checked for convergence. If not, the process of solving for time step 2 is repeated until the control parameters converge. Finally, when the number of solutions reaches time step n, it checks if the control parameters have converged. If not, the process of solving for time step n is repeated until the control parameters converge, and the result is output. Each iteration updates the fluid state until a preset time endpoint or convergence condition is reached. During this process, the software automatically saves the calculation results for later viewing or continued calculation. Finally, the post-processing module visualizes the results of each iteration, forming a series of charts that record the diffusion of SF6 gas in the main transformer chamber over time, providing intuitive data support for analysis.

[0104] According to another aspect of the present invention, a gas leakage simulation device for power equipment is also provided. This device can execute the gas leakage simulation method for power equipment described in the above embodiments. The specific implementation method and preferred application scenarios are the same as those described in the above embodiments, and will not be repeated here.

[0105] Figure 6 This is a schematic diagram of a gas leakage simulation device for power equipment according to an embodiment of the present invention, as shown below. Figure 6As shown, the device includes the following: a construction module 602, a first determination module 604, a second determination module 606, and a solution module 608.

[0106] The construction module 602 is used to construct a gas leakage simulation model corresponding to the power equipment. The gas leakage simulation model is used to simulate a gas leakage fault in the power equipment. The gas leakage simulation model is equipped with a gas leak port and a gas extraction port, and the gas in the power equipment leaks at the gas leak port and the gas extraction port. The first determination module 604 is used to determine at least one governing equation for the gas. Different governing equations are used to control different flow characteristics of the gas in the power equipment. The second determination module 606 is used to determine the boundary conditions for the gas flow at the gas leak port and the gas extraction port. The solution module 608 is used to simulate and solve the gas leakage fault in the power equipment based on at least one governing equation, boundary conditions and gas leakage simulation model, and obtain simulation results. The simulation results are used to represent the diffusion of gas in the power equipment over time.

[0107] Optionally, the construction module includes: a module for constructing an initial leakage simulation model based on the structural parameters and preset location parameters of the power equipment, wherein the preset location parameters are used to characterize the location of the pre-reserved gas leak port and the location of the gas extraction port; and a module for meshing the initial leakage simulation model based on a preset mesh size to obtain a gas leakage simulation model.

[0108] Optionally, the building module further includes: dividing the target area in the initial leakage simulation model according to a first grid size in the preset grid size, wherein the target area includes: a gas leak port and a gas extraction port, and a wall adjacent to the gas leak port or the gas extraction port; and dividing other areas in the initial leakage simulation model according to a second grid size in the preset grid size, wherein the second grid size is larger than the first grid size, and the other areas are areas other than the target area.

[0109] Optionally, at least one governing equation includes at least one of the following: mass conservation equation, momentum conservation equation, energy conservation equation, and turbulence model equation.

[0110] Optionally, the second determining module includes: determining leakage boundary conditions of the gas leak port based on the size parameters of the gas leak port, wherein the leakage boundary conditions include: leak port pressure conditions, leak port temperature conditions, and leak port turbulence intensity; and determining outlet boundary conditions of the gas extraction port based on the size parameters of the gas extraction port, wherein the outlet boundary conditions include: gas leak port outlet pressure conditions, outlet temperature conditions, and outlet turbulence intensity.

[0111] Optionally, the solver module includes: generating discrete equations for each grid in the gas leakage simulation model based on at least one governing equation and preset control parameters, wherein the discrete equations are used to simulate the diffusion of gas in each grid over time; solving the preset control parameters based on boundary conditions to obtain target control parameters; and inputting the target control parameters into the discrete equations of each grid to obtain simulation results.

[0112] Optionally, the solution module further includes: solving the discrete equations of each grid based on boundary conditions to obtain the solved control parameters; continuing to solve the discrete equations of each grid based on boundary conditions until the solved control parameters meet the convergence conditions if the solved control parameters do not meet the convergence conditions; repeatedly updating the discrete equations of each grid based on the solved control parameters to obtain the updated equations of each grid, and solving the updated equations of each grid based on boundary conditions if the current number of solutions does not meet the preset number of solutions, until the current number of solutions meets the preset number of solutions; and determining the solved control parameters as the target control parameters if the current number of solutions meets the preset number of solutions.

[0113] According to another aspect of the present invention, an electronic device is also provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods of various embodiments of the present invention during runtime.

[0114] According to another aspect of the present invention, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is executed, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of the present invention.

[0115] According to another aspect of the present invention, a computer program product is also provided, including a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0116] According to another aspect of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium for storing a computer program that, when executed by a processor, implements the methods of various embodiments of the present invention.

[0117] According to another aspect of the present invention, a computer program is also provided, which, when executed by a processor, implements the methods described in the various embodiments of the present invention.

[0118] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0119] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.

[0120] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0121] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0122] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, or optical disks.

[0123] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for simulating gas leakage in power equipment, characterized in that, include: A gas leakage simulation model is constructed for power equipment. The gas leakage simulation model is used to simulate a gas leakage fault in the power equipment. The gas leakage simulation model is provided with a gas leak port and a gas extraction port. Gas in the power equipment leaks at the gas leak port and the gas extraction port. Determine at least one governing equation for the gas, wherein different governing equations are used to control different flow characteristics of the gas in the power equipment; Determine the boundary conditions for the flow of the gas at the gas leak port and the gas extraction port; Based on the at least one control equation, the boundary conditions, and the gas leakage simulation model, the gas leakage fault occurring in the power equipment is simulated and solved to obtain simulation results, wherein the simulation results are used to represent the diffusion of the gas in the power equipment over time.

2. The gas leakage simulation method according to claim 1, characterized in that, Construct a gas leakage simulation model for power equipment, including: Based on the structural parameters and preset location parameters of the power equipment, an initial leakage simulation model is constructed, wherein the preset location parameters are used to characterize the location of the gas leak port and the location of the gas extraction port that are reserved in advance; The initial leakage simulation model is meshed based on a preset mesh size to obtain the gas leakage simulation model.

3. The gas leakage simulation method according to claim 2, characterized in that, The initial leakage simulation model is meshed based on a preset mesh size to obtain the gas leakage simulation model, including: The target area in the initial leakage simulation model is divided according to the first grid size in the preset grid size, wherein the target area includes: the gas leak port and the gas extraction port, and the wall adjacent to the gas leak port or the gas extraction port. The other regions in the initial leakage simulation model are divided according to the second grid size in the preset grid size, wherein the second grid size is larger than the first grid size, and the other regions are regions other than the target region.

4. The gas leakage simulation method according to claim 1, characterized in that, The at least one governing equation includes at least one of the following: mass conservation equation, momentum conservation equation, energy conservation equation, and turbulence model equation.

5. The gas leakage simulation method according to claim 1, characterized in that, Determining the boundary conditions for the flow of the gas at the gas leak port and the gas extraction port includes: Based on the size parameters of the gas leak, the leakage boundary conditions of the gas leak are determined, wherein the leakage boundary conditions include: the leak pressure conditions, the leak temperature conditions, and the leak turbulence intensity of the gas leak. Based on the size parameters of the gas extraction port, the outlet boundary conditions of the gas extraction port are determined, wherein the outlet boundary conditions include: the outlet pressure conditions, the outlet temperature conditions, and the outlet turbulence intensity of the gas leakage port.

6. The gas leakage simulation method according to any one of claims 1 to 5, characterized in that, Based on the at least one governing equation, the boundary conditions, and the gas leakage simulation model, the gas leakage fault occurring in the power equipment is simulated and solved to obtain simulation results, including: Based on the at least one control equation and preset control parameters, a discrete equation is generated for each grid in the gas leakage simulation model, wherein the discrete equation is used to simulate the diffusion of the gas in each grid over time; The preset control parameters are solved based on the boundary conditions to obtain the target control parameters; The target control parameters are input into the discrete equations of each grid to obtain the simulation results.

7. The gas leakage simulation method according to claim 6, characterized in that, The preset control parameters are solved based on the boundary conditions to obtain the target control parameters, including: The discrete equations of each grid are solved based on the boundary conditions to obtain the solved control parameters; If the solved control parameters do not meet the convergence condition, continue to execute the step of solving the discrete equations of each grid based on the boundary conditions until the solved control parameters meet the convergence condition. If the current number of solutions does not meet the preset number of solutions, the steps of updating the discrete equations of each grid based on the solved control parameters to obtain the updated equations of each grid, and solving the updated equations of each grid based on the boundary conditions are repeated until the current number of solutions meets the preset number of solutions. If the current number of solutions meets the preset number of solutions, the solved control parameter is determined to be the target control parameter.

8. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor for running the program, wherein the program, when running, performs the method according to any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the storage medium is located to perform the method according to any one of claims 1 to 7.

10. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method according to any one of claims 1 to 7.

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