Method for optimizing multiple physical property parameters of mixed insulating gas based on reconciliation target

Abstract

The invention discloses a method for optimizing multiple physical property parameters of mixed insulating gas based on a harmonic target, which comprises the following steps of: performing data analysis on the influence of physical property parameter variables on the insulating property to obtain a quantitative mapping function, applying a harmonic coefficient to balance the influence degree of each variable, and determining the optimal parameters according to the actual working condition constraint. And calculating the optimal solution of the physical property parameters of the mixed insulating gas based on the harmonic target mathematical model so as to obtain the most suitable parameters of the mixed insulating gas, thereby obtaining the expected gas performance. According to the method, parameter solving can be carried out according to different gas performance requirements, the solving process is convenient and efficient, and the accuracy is high.

Description

Technical Field

[0001] The invention relates to the field of data processing, and in particular to a method for optimizing multi-property parameters of a mixed insulating gas based on a harmonization target. Background Art

[0002] Gas insulation is an emerging insulation technology that achieves electrical functions such as insulation and arc extinguishing by filling power equipment with a gas medium with good insulation properties. As the most important medium in gas-insulated equipment, the insulation performance of insulating gas is related to the safety and temperature operation of equipment and systems. SF6 gas is a typical insulating gas with good insulation properties and arc extinguishing ability, but its decomposition products are toxic and cause greenhouse effects, so SF6 is restricted in use. Environmentally friendly mixed insulating gas forms a new insulating gas by mixing different types of insulating gases. While ensuring the gas insulation properties, it can reduce adverse effects on the environment and reduce costs. Comprehensive research on the insulation performance, safety, environmental protection and other characteristics of different types of mixed insulating gases in order to find a better environmentally friendly insulating gas is an important research direction in this field.

[0003] There are many physical parameters that affect the insulation performance of mixed insulating gas, including gas composition, proportion, gas pressure, temperature, etc. At present, the insulation breakdown voltage of mixed gases with different components and different gas pressure conditions is mainly tested through electrical tests to evaluate their insulation performance.

[0004] However, in actual projects, the constraints of different physical parameters are inconsistent, and the impact of multiple physical parameters on the insulation performance of mixed gas cannot be comprehensively considered through experiments. In addition, the impact of each individual index parameter on the performance of the insulating gas obtained through repeated tests has not been uniformly quantified, and the impact results are relatively fragmented. Therefore, how to determine the most appropriate mixed insulating gas parameters for different actual needs to achieve the best performance effect is a technical problem that needs to be solved urgently. Summary of the invention

[0005] In view of the problem that it is difficult to determine the most suitable mixed insulating gas parameters for different actual needs in the prior art, resulting in the inability to obtain the expected gas performance, the present invention provides a mixed insulating gas multi-property parameter optimization method based on a harmonized target, by performing data analysis on the influence of physical property parameter variables on insulation performance, obtaining a quantitative mapping function, and applying a harmonized coefficient to weigh the degree of influence of each variable, and then according to the actual working condition constraints, the optimal solution of the physical property parameters of the mixed insulating gas is calculated based on the harmonized target mathematical model, so as to obtain the most suitable mixed insulating gas parameters to obtain the expected gas performance. The present invention can solve parameters for different gas performance requirements, and the solution process is convenient, efficient, and highly accurate.

[0006] The following is the technical solution of the present invention.

[0007] A method for optimizing multi-property parameters of a mixed insulating gas based on a harmonized target comprises the following steps: S1: For the selected mixed insulating gas, determine the physical parameters that affect its insulation performance and build a variable index system; S2: Obtain actual physical parameters and insulation performance data, and derive a quantitative mapping function based on the influence of various physical parameters on the insulation performance of the mixed gas in the variable index system; S3: Based on the quantitative mapping function, the target mathematical model of insulation performance coordination of hybrid insulating gas is obtained through linear fusion; S4: Determine the actual working condition constraints and calculate the optimal solution of the physical property parameters of the mixed insulating gas based on the harmonized target mathematical model; S5: Adjust the physical properties of the mixed insulating gas based on the optimal solution.

[0008] In the present invention, the key physical parameters that affect the insulation performance of the mixed gas are first identified, and a complete set of variable index systems is established. Subsequently, by collecting and analyzing the actual physical parameters and insulation performance data, the specific impact of each parameter on the insulation performance is revealed, and then the quantitative mapping function is derived to achieve a quantitative description of the performance impact. On this basis, the present invention introduces the harmonic coefficient and constructs a harmonic target mathematical model of the insulation performance of the mixed insulating gas through linear fusion technology. This model can comprehensively consider the degree of influence of each physical parameter, and accurately calculate the optimal solution of the physical parameters of the mixed insulating gas according to the constraints of the actual working conditions. Finally, the physical parameters of the mixed gas are adjusted according to this optimal solution to ensure that the expected insulation performance is obtained.

[0009] Preferably, the step S1: determining the physical parameters affecting the insulation performance of the selected mixed insulating gas and constructing a variable index system includes: At least two of gas components, gas pressure and temperature are selected as physical property parameters to construct a variable indicator system.

[0010] Preferably, the S2: obtaining actual physical parameters and insulation performance data, and obtaining a quantitative mapping function according to the influence of each physical parameter on the insulation performance of the mixed gas in the variable index system, includes: obtaining actual physical parameters and insulation performance data, calculating the quantitative relationship between them based on the influence of each physical parameter on the insulation performance of the mixed gas, and obtaining a quantitative mapping function G=[g(k1), g(k2),..., g(k n )], where g(k n ) represents the influence value of the nth physical property parameter on the insulation performance.

[0011] Preferably, the S2 further comprises: Normalize and dimensionless the physical property parameters and quantitative mapping functions; Applying the harmonic coefficient to weigh the influence of each variable, we can get the modified quantitative law expression G′=[α1g′(k1),α2g′(k2),...,α n g′(k n )], where the harmonic coefficients satisfy α1+α2+...+α n =1, g'(k n ) represents the influence value of the normalized and dimensionless nth physical property parameter on the insulation performance.

[0012] Preferably, the S3: obtaining a harmonized target mathematical model of the insulation performance of the hybrid insulating gas by linear fusion according to the quantitative mapping function comprises: For the normalized, dimensionless and corrected quantitative regularity expression, the harmonized target mathematical model of the insulation performance of the hybrid insulating gas is obtained by linear fusion of each sub-item:

[0013] Preferably, gas composition and gas pressure are selected as physical property parameters in the variable indicator system.

[0014] Preferably, the mixed insulating gas is a mixed insulating gas containing SF6 and N2.

[0015] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of the above-mentioned method for optimizing the multi-physical property parameters of a mixed insulating gas based on a harmonization target are implemented.

[0016] The present invention also provides a storage medium, in which computer executable instructions are stored. When the computer executable instructions are loaded and executed by a processor, the steps of the above-mentioned method for optimizing the multi-physical property parameters of a mixed insulating gas based on a harmonization target are implemented.

[0017] The substantial effects of the present invention include: The present invention can provide an efficient and accurate solution to the problem in the prior art that it is difficult to determine the most suitable mixed insulating gas parameters, resulting in the inability to obtain the expected gas performance. First, the key physical parameters that affect the insulation performance of the mixed gas, such as gas composition, gas pressure and temperature, are clarified, and a complete set of variable indicator systems are established. By collecting and analyzing actual physical parameters and insulation performance data, the specific impact of each parameter on the insulation performance can be revealed, and then a quantitative mapping function can be derived to achieve a quantitative description of the performance impact. This step not only improves the accuracy and reliability of data analysis, but also provides a solid foundation for subsequent optimization work.

[0018] On this basis, the present invention introduces the harmonic coefficient and constructs a harmonic target mathematical model of the insulation performance of the mixed insulating gas through linear fusion technology. The model can comprehensively consider the influence of various physical parameters and accurately calculate the optimal solution of the physical parameters of the mixed insulating gas according to the constraints of the actual working conditions. This innovative method not only improves the efficiency and accuracy of parameter solution, but also can be flexibly adjusted according to different gas performance requirements, thereby ensuring the expected insulation performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 is a flow chart of an embodiment of the present invention; Figure 2 It is a function diagram of the influence of the physical property parameters of the mixed insulating gas on the insulation performance according to the embodiment of the present invention. DETAILED DESCRIPTION

[0020] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution will be clearly and completely described below in combination with the embodiments. 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 are within the scope of protection of the present invention.

[0021] It should be understood that in various embodiments of the present invention, the size of the sequence number of each process does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0022] It should be understood that in the present invention, "including" and "having" and any variations thereof 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 explicitly listed, but may include other steps or units not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0023] It should be understood that in the present invention, "plurality" refers to two or more than two. "And / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated before and after are in an "or" relationship. "Contains A, B and C", "Contains A, B, C" means that A, B, and C are all included, "Contains A, B or C" means that one of A, B, and C is included, and "Contains A, B and / or C" means that any one, any two, or any three of A, B, and C are included.

[0024] The technical solution of the present invention is described in detail with specific embodiments below. The embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.

[0025] Example: A method for optimizing the multi-property parameters of mixed insulating gas based on the harmonization target, such as Figure 1 As shown, the following steps are included: S1: For the selected mixed insulating gas, determine the physical parameters that affect its insulation performance and construct a variable indicator system.

[0026] include: At least two of gas components, gas pressure and temperature are selected as physical property parameters to construct a variable indicator system.

[0027] The variable index system is expressed as K = (k1, k2, ..., k n ), where k n Represents the nth physical property parameter.

[0028] In this embodiment, the selected mixed insulating gas is SF6 / N2 mixed insulating gas, and the main physical parameters that can be extracted that affect its insulation performance include the volume ratio r of the SF6 component in the total gas and the mixed gas pressure P.

[0029] S2: Obtain actual physical parameters and insulation performance data, and derive a quantitative mapping function based on the influence of various physical parameters in the variable index system on the insulation performance of the mixed gas.

[0030] Including: obtaining actual physical parameters and insulation performance data, calculating the quantitative relationship between them based on the influence of each physical parameter on the insulation performance of the mixed gas, and obtaining a quantitative mapping function G = [g(k1), g(k2), ..., g(k n )], where g(k n ) represents the influence value of the nth physical property parameter on the insulation performance.

[0031] In this embodiment, as shown in Table 1, through theoretical or experimental tests, a quantitative relationship between the physical parameters r and P that affect the insulation performance of the SF6 / N2 mixed insulating gas and the breakdown strength that can characterize the insulation performance is obtained: Table 1 Quantitative relationship of physical parameters on insulation performance and data processing results Furthermore, in the quantitative mapping function, the variable index and its influence on the insulation performance are normalized and dimensionless. The specific calculation method is as follows: In the formula, k' and g'(k) are normalized and dimensionless index values ​​and insulation performance influence values, respectively, k and g(k) are actual variable index values ​​and insulation performance influence values, respectively, and the subscripts max and min represent the maximum and minimum values ​​in the values, respectively. In this embodiment, the normalized and dimensionless data are also shown in Table 1.

[0032] Applying the harmonic coefficient to weigh the influence of each variable, we can get the modified quantitative law expression G′=[α1g′(k1),α2g′(k2),...,α n g′(k n )], where the harmonic coefficients satisfy α1+α2+...+α n =1, g'(k n ) represents the influence value of the normalized and dimensionless nth physical property parameter on the insulation performance.

[0033] In this embodiment, the influence function of the physical parameters r and P of the SF6 / N2 mixed insulating gas on the insulation performance is obtained from the data in Table 1: g′(r)=0.52(e 0.2r -e -8.9r ), g′(P)=0.59P-0.02, its image is as follows Figure 2 As shown. Figure 2 It can be seen that the influence of air pressure on insulation performance varies greatly. In addition, increasing air pressure in actual engineering will increase the cost of equipment leakage prevention. Therefore, the harmonic coefficients of g′(r) and g′(P) are 0.8 and 0.2 respectively.

[0034] S3: Based on the quantitative mapping function, the harmonized target mathematical model of the insulation performance of the hybrid insulating gas is obtained through linear fusion.

[0035] include: For the normalized, dimensionless and corrected quantitative regularity expression, the harmonized target mathematical model of the insulation performance of the hybrid insulating gas is obtained by linear fusion of each sub-item:

[0036] In this embodiment, the harmonic objective function of the influence of the physical parameters r and P on the insulation performance of SF6 / N2 insulating gas is: E = 0.8g'(r) + 0.2g'(P) = 0.42(e 0.2r -e -8.9r )+0.12P.

[0037] S4: Determine the actual working condition constraints and calculate the optimal solution of the physical property parameters of the mixed insulating gas based on the harmonized target mathematical model.

[0038] include: Based on the above harmonic objective function, in actual engineering, due to the constraints of environmental impact and equipment pressure resistance, if the r and P constraints are 0.1≤r≤0.5 and P≤0.5MPa, then according to the harmonic function and Figure 2 The influence of the physical parameters on the insulation performance shown in the figure shows that when r>20%, the insulation performance increases slowly, while the influence of P on the insulation performance increases linearly. Therefore, when r=20% and P=0.5Mpa, in the normalized dimensionless model, when r=0.2 and P=0.667, the insulation performance is optimal, that is, the optimal physical parameter combination.

[0039] S5: Adjust the physical properties of the mixed insulating gas based on the optimal solution.

[0040] In this embodiment, the key physical parameters that affect the insulation performance of the mixed gas are first identified, and a complete set of variable index systems are established. Subsequently, by collecting and analyzing the actual physical parameters and insulation performance data, the specific impact of each parameter on the insulation performance is revealed, and then the quantitative mapping function is derived to achieve a quantitative description of the performance impact. On this basis, this embodiment introduces the harmonic coefficient, and constructs a harmonic target mathematical model of the insulation performance of the mixed insulating gas through linear fusion technology. This model can comprehensively consider the degree of influence of each physical parameter, and accurately calculate the optimal solution of the physical parameters of the mixed insulating gas according to the constraints of the actual working conditions. Finally, the physical parameters of the mixed gas are adjusted according to this optimal solution to ensure that the expected insulation performance is obtained.

[0041] This embodiment also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, the steps of the above-mentioned method for optimizing the multi-physical property parameters of a mixed insulating gas based on a harmonization target are implemented.

[0042] This embodiment also provides a storage medium, in which computer executable instructions are stored. When the computer executable instructions are loaded and executed by a processor, the steps of the above-mentioned method for optimizing the multi-physical property parameters of a mixed insulating gas based on a harmonization target are implemented.

[0043] The substantial effects of this embodiment include: This embodiment can provide an efficient and accurate solution to the problem that it is difficult to determine the most suitable mixed insulating gas parameters in the prior art, resulting in the inability to obtain the expected gas performance. First, the key physical parameters that affect the insulation performance of the mixed gas, such as gas composition, gas pressure and temperature, are clarified, and a complete set of variable indicator systems are established. By collecting and analyzing the actual physical parameters and insulation performance data, the specific impact of each parameter on the insulation performance can be revealed, and then the quantitative mapping function can be derived to achieve a quantitative description of the performance impact. This step not only improves the accuracy and reliability of data analysis, but also provides a solid foundation for subsequent optimization work.

[0044] On this basis, this embodiment introduces the harmonic coefficient and constructs a harmonic target mathematical model of the insulation performance of the mixed insulating gas through linear fusion technology. The model can comprehensively consider the influence of various physical parameters and accurately calculate the optimal solution of the physical parameters of the mixed insulating gas according to the constraints of the actual working conditions. This innovative method not only improves the efficiency and accuracy of parameter solution, but also can be flexibly adjusted according to different gas performance requirements, thereby ensuring the expected insulation performance.

[0045] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the specific device can be divided into different functional modules to complete all or part of the functions described above.

[0046] In the embodiments provided in the present application, it should be understood that the disclosed structures and methods can be implemented in other ways. For example, the embodiments of the structure described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another structure, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, structures or units, which can be electrical, mechanical or other forms.

[0047] The units described as separate components may or may not be physically separated, and the components shown as units may be one physical unit or multiple physical units, that is, they may be located in one place or distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0048] In addition, each functional unit in the embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0049] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium, including several instructions to enable a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.

[0050] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for optimizing multi-property parameters of a mixed insulating gas based on a harmonized target, characterized in that: The following steps are involved: S1: For the selected mixed insulating gas, determine the physical parameters that affect its insulation performance and build a variable index system; S2: Obtain actual physical parameters and insulation performance data, and derive a quantitative mapping function based on the influence of various physical parameters on the insulation performance of the mixed gas in the variable index system; S3: Based on the quantitative mapping function, the target mathematical model of insulation performance coordination of hybrid insulating gas is obtained through linear fusion; S4: Determine the actual working condition constraints and calculate the optimal solution of the physical property parameters of the mixed insulating gas based on the harmonized target mathematical model; S5: Adjust the physical properties of the mixed insulating gas based on the optimal solution.

2. The method for optimizing multi-property parameters of a mixed insulating gas based on a harmonized target according to claim 1, characterized in that: S1: for the selected mixed insulating gas, determine the physical parameters that affect its insulation performance and construct a variable index system, including: At least two of gas components, gas pressure and temperature are selected as physical property parameters to construct a variable indicator system.

3. The method for optimizing the multi-property parameters of a mixed insulating gas based on a harmonized target according to claim 1, characterized in that: S2: obtaining actual physical parameters and insulation performance data, and obtaining a quantitative mapping function according to the influence of each physical parameter on the insulation performance of the mixed gas in the variable index system, including: obtaining actual physical parameters and insulation performance data, calculating the quantitative relationship between them based on the influence of each physical parameter on the insulation performance of the mixed gas, and obtaining a quantitative mapping function G = [g(k1), g(k2), ..., g(k n )], where g(k n ) represents the influence value of the nth physical property parameter on the insulation performance.

4. A method for optimizing multi-property parameters of a mixed insulating gas based on a harmonized target according to claim 1 or 3, characterized in that: The S2 further includes: Normalize and dimensionless the physical property parameters and quantitative mapping functions; Applying the harmonic coefficient to weigh the influence of each variable, we can get the modified quantitative law expression G′=[α1g′(k1),α2g′(k2),...,α n g′(k n )], where the harmonic coefficients satisfy α1+α2+...+α n =1, g'(k n ) represents the influence value of the normalized and dimensionless nth physical property parameter on the insulation performance.

5. The method for optimizing multi-property parameters of a mixed insulating gas based on a harmonized target according to claim 4, characterized in that: S3: According to the quantitative mapping function, a hybrid insulating gas insulation performance harmonization target mathematical model is obtained through linear fusion, including: For the normalized, dimensionless and corrected quantitative regularity expression, the harmonized target mathematical model of the insulation performance of the hybrid insulating gas is obtained by linear fusion of each sub-item:

6. The method for optimizing multi-property parameters of a mixed insulating gas based on a harmonized target according to claim 2, characterized in that: Gas components and gas pressure are selected as physical property parameters in the variable indicator system.

7. The method for optimizing multi-property parameters of a mixed insulating gas based on a harmonized target according to claim 1, characterized in that: The mixed insulating gas is a mixed insulating gas containing SF6 and N2.

8. An electronic device, characterized in that: It comprises a memory and a processor, wherein the memory stores a computer program, and when the processor calls the computer program in the memory, it implements the steps of a method for optimizing multi-physical property parameters of a mixed insulating gas based on a harmonizing target as described in any one of claims 1 to 7.

9. A storage medium, characterized in that: The storage medium stores computer executable instructions, which, when loaded and executed by a processor, implement the steps of a method for optimizing multi-physical property parameters of a mixed insulating gas based on a harmonized target as described in any one of claims 1 to 7.

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