Distributed stress tube design method and device, electronic equipment and storage medium

Abstract

The invention provides a distributed stress tube design method and device, electronic equipment and a storage medium. The method comprises the steps of determining electric field distribution information of a concentrated electric field on the interface of a stress tube and a cable insulation layer based on a cable intermediate joint model; based on the electric field distribution information, determining segmentation information of the stress tube, including an optimal starting point position of each sub-segment after the stress tube is segmented; according to the electric field distribution information, determining an optimal relative dielectric constant corresponding to each sub-segment after the stress tube is segmented; according to the segmentation information and the parameter information, the stress pipe is optimized, and the distributed stress pipe is obtained.According to the embodiment of the invention, the design and the material of the stress pipe are optimized, so that the purpose of optimizing the electric field distribution characteristic of the cable intermediate joint is achieved; the result shows that compared with a traditional stress pipe, the distributed stress pipe has the advantages that the electric field unevenness of the interface between the distributed stress pipe and the cable insulation layer is reduced by 34.65%, the maximum electric field intensity is reduced by 49.70%, and the safety and reliability of a power system can be remarkably improved.

Description

Technical Field

[0001] The present application relates to the technical field of power cables, and in particular to a distributed stress tube design method, device, electronic equipment and storage medium. Background Art

[0002] As one of the core components of the power cable transmission system, the cable intermediate joint is used to connect different sections of cables to transmit electricity. However, the cable intermediate joint is easily affected by various factors, thus becoming a weak link in the system. The stress tube is the main component of the cable intermediate joint to evacuate the concentrated electric field. Therefore, optimizing the stress tube design is of great significance to the concentrated electric field evacuation effect.

[0003] However, the traditional stress tube cannot effectively evacuate the concentrated electric field away from the cut-off point of the cable outer shield layer, which may cause electric field distortion and partial discharge, resulting in low efficiency of the power system and difficulty in ensuring safety. Therefore, a reasonably designed stress tube is urgently needed to evacuate the concentrated electric field and improve the operating efficiency and safety of the cable system. Summary of the invention

[0004] The embodiments of the present application provide a distributed stress tube design method, device, electronic device and storage medium to solve the problem that the existing stress tube cannot evacuate the concentrated electric field well and the operating efficiency and safety of the cable system are difficult to ensure.

[0005] In a first aspect, an embodiment of the present application provides a distributed stress tube design method, comprising:

[0006] Based on the cable intermediate joint model, the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer is determined;

[0007] Based on the electric field distribution information, determining the segmentation information of the stress tube, wherein the segmentation information is used to perform segmentation design on the stress tube, and the segmentation information includes a preferred starting point position of each sub-segment after the stress tube is segmented;

[0008] Determine parameter information of each sub-segment after the stress tube is segmented according to the electric field distribution information, wherein the parameter information includes a preferred relative dielectric constant corresponding to each sub-segment of the stress tube on the interface of the cable insulation layer;

[0009] The stress tube is optimized according to the segmentation information and parameter information to obtain a distributed stress tube.

[0010] In a possible implementation, the electric field distribution information includes the electric field intensity of each measuring point on the concentrated electric field at the interface between the stress tube and the cable insulation layer; and determining the segmentation information of the stress tube based on the electric field distribution information includes:

[0011] Determine the starting position of each segment of the stress tube as the first variable to be optimized, and determine the first optimization objective function according to the electric field distribution information and each first variable to be optimized, wherein the dependent variable in the first optimization objective function is the standard deviation of the electric field intensity of the concentrated electric field at the interface between the stress tube and the cable insulation layer, and the independent variable in the first optimization objective function is each first variable to be optimized;

[0012] Determine the change rate information of the first optimization objective function relative to each first variable to be optimized, and determine the iterative update rule corresponding to the first variable to be optimized based on the change rate information; wherein the iterative update rule is used to control the iterative update of the corresponding first variable to be optimized along the direction in which the first optimization objective function decreases fastest;

[0013] According to the corresponding iterative updating rule, an iterative updating process is performed on each first variable to be optimized to determine the optimal starting point position of each sub-segment of the stress tube.

[0014] In a possible implementation, determining parameter information of each sub-segment after the stress tube is segmented according to the electric field distribution information includes:

[0015] Determine the relative dielectric constant corresponding to each sub-segment after the stress tube is segmented as the second variable to be optimized, and determine the second optimization objective function according to the electric field distribution information; wherein the second optimization objective function is a comprehensive function that characterizes the unevenness of the concentrated electric field and the parameter adjustment amount of the stress tube, and each second variable to be optimized in the second optimization objective function is an independent variable;

[0016] Calculating the change rate information of the second optimization objective function relative to each second variable to be optimized, and determining the iterative update rule of the corresponding variable to be optimized based on the change rate information; wherein the iterative update rule is used to control the iterative update of the corresponding second optimization objective function of the second variable to be optimized along the direction in which the second optimization objective function decreases fastest;

[0017] According to the corresponding iterative updating rule, an iterative updating process is performed on each second variable to be optimized to determine the preferred relative dielectric constant corresponding to each sub-segment of the stress tube.

[0018] In a possible implementation manner, determining a second optimization objective function according to the electric field distribution information includes:

[0019] Determine the maximum electric field strength and the average electric field strength of the concentrated electric field according to the electric field distribution information, and calculate and determine the quotient of the maximum electric field strength and the average electric field strength as the electric field non-uniformity of the concentrated electric field;

[0020] Subtract each second variable to be optimized from the reference relative dielectric constant to obtain a function expression of the parameter adjustment amount corresponding to each sub-segment, and sum each function expression to determine the parameter adjustment amount expression of the stress tube;

[0021] The electric field non-uniformity and the parameter adjustment amount expression are subjected to weighted summation to determine the second optimization objective function.

[0022] In a possible implementation, performing iterative updating processing on each second variable to be optimized according to a corresponding iterative updating rule to determine a preferred relative dielectric constant corresponding to each sub-segment of the stress tube includes:

[0023] According to the iterative update rule corresponding to each second variable to be optimized, iteratively update each second variable to be optimized until an iteration termination condition is met, and determine the preferred value of each second variable to be optimized; wherein the iteration termination condition is used to indicate any one or more of the iteration number threshold information, the second variable to be optimized convergence information, and the second optimization objective function convergence information;

[0024] According to the preferred values ​​of the second variables to be optimized, the preferred relative dielectric constant of the corresponding stress tube section is determined.

[0025] In a possible implementation, determining the preferred relative dielectric constant of the corresponding stress tube segment according to the preferred values ​​of each second variable to be optimized includes:

[0026] According to the preferred value of each second variable to be optimized, calculating the electric field non-uniformity of each corresponding sub-segment;

[0027] If it is determined that the non-uniformity of each sub-segment of the stress tube is less than the preset threshold, then determining the preferred value of the second variable to be optimized to be the relative dielectric constant of the corresponding sub-segment;

[0028] If it is determined that the unevenness of the stress tube sub-segment is greater than or equal to the preset threshold, the step of iteratively updating each second variable to be optimized according to the iterative update rule corresponding to each second variable to be optimized is repeatedly executed until the unevenness of each sub-segment is less than the preset threshold.

[0029] In a possible implementation manner, after obtaining the distributed stress tube, the method further includes:

[0030] Based on the cable intermediate joint model, determining the optimized electric field distribution information of the concentrated electric field at the interface between the distributed stress tube and the cable insulation layer;

[0031] Data analysis is performed on the optimized electric field distribution information and the electric field distribution information to generate an optimization analysis report of the distributed stress tube.

[0032] In a second aspect, an embodiment of the present application provides a distributed stress tube design device, comprising:

[0033] The first calculation unit is used to determine the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer based on the cable intermediate joint model;

[0034] A first processing unit is used to determine segmentation information of the stress tube based on the electric field distribution information, wherein the segmentation information is used to perform segmentation design on the stress tube, and the segmentation information includes a preferred starting point position of each sub-segment after the stress tube is segmented;

[0035] A second processing unit is used to determine parameter information of each sub-segment after the stress tube is segmented according to the electric field distribution information, wherein the parameter information includes a preferred relative dielectric constant corresponding to each sub-segment of the stress tube on the interface of the cable insulation layer;

[0036] The optimization unit is used to optimize the stress tube according to the segmentation information and parameter information to obtain a distributed stress tube.

[0037] In a third aspect, an embodiment of the present application provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the method described in the first aspect or any possible implementation of the first aspect are implemented.

[0038] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the method described in the first aspect or any possible implementation method of the first aspect.

[0039] The embodiments of the present application provide a distributed stress tube design method, device, electronic device and storage medium. Based on the cable intermediate joint model, the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer is determined; based on the electric field distribution information, the segmentation information of the stress tube is determined, including the preferred starting position of each sub-segment after the stress tube is segmented; then, according to the electric field distribution information, the preferred relative dielectric constant corresponding to each sub-segment after the stress tube is segmented is determined; according to the segmentation information and parameter information, the stress tube is optimized to obtain a distributed stress tube. Among them, this embodiment optimizes the design and materials of the stress tube through the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer. Under the premise of considering the material cost, the evacuation capacity of the stress tube for the concentrated electric field is improved, and the electric field distribution of the cable intermediate joint can be further optimized, the electric field distortion can be reduced, the local discharge can be suppressed, and the safety and reliability of the power system can be further improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0041] Figure 1 is a flow chart for implementing the distributed stress tube design method provided in the embodiment of the present application;

[0042] Figure 2 is a flowchart of another distributed stress tube design method provided in an embodiment of the present application;

[0043] Figure 3 A schematic diagram of the structure of a 35 kV cable intermediate joint provided in an embodiment of the present application;

[0044] Figure 4 A schematic diagram of a distributed stress tube provided in an embodiment of the present application;

[0045] Figure 5 A schematic diagram of a distributed stress tube in a 35 kV cable intermediate joint provided in an embodiment of the present application;

[0046] Figure 6 A schematic diagram of a field strength comparison diagram of a common stress tube and a distributed stress tube provided in an embodiment of the present application;

[0047] Figure 7 is a structural schematic diagram of a distributed stress tube design device provided in an embodiment of the present application;

[0048] Figure 8 It is a schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0049] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present application. However, it should be clear to those skilled in the art that the present application may also be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present application.

[0050] In the related technologies, the cable transmission system plays a vital role in the field of energy transmission. The cable intermediate joint is one of the core components of the power cable transmission system, which is used to connect different sections of cables to transmit electricity. However, due to the complexity of the cable transmission system and the uncertainty of the external environment, the cable intermediate joint is easily affected by various factors, thus becoming a weak link in the system. Stress tubes are the main components for evacuating concentrated electric fields in cable intermediate joints. It is of great significance to study the influence of the reasonable design of stress tubes on the evacuation effect of concentrated electric fields. It can not only promote the continuous advancement of cable accessory technology, but also meet the ever-changing market needs and promote the sustainable development of the power industry.

[0051] After research, the inventors found that traditional stress tubes cannot effectively evacuate the concentrated electric field away from the cut-off point of the cable outer shielding layer, which may cause electric field distortion and local discharge, resulting in low operating efficiency of the power system and difficulty in ensuring safety.

[0052] For the purpose of optimizing the electric field distribution characteristics of the cable intermediate joint, reducing electric field distortion, suppressing partial discharge, and improving the operational safety and reliability of the cable system. In the implementation of the present application, by optimizing the design and materials of the stress tube, the evacuation capacity of the stress tube for the concentrated electric field is optimized, and the ability of the stress tube to evenly move away from the concentrated electric field at the cut-off point of the cable outer shielding layer is improved, thereby optimizing the electric field distribution characteristics of the cable intermediate joint and significantly improving the safety and reliability of the power system.

[0053] In order to make the purpose, technical solutions and advantages of the present application clearer, specific embodiments will be described below in conjunction with the accompanying drawings.

[0054] See also Figure 1 , which shows an implementation flow chart of the distributed stress tube design method provided in an embodiment of the present application, and is described in detail as follows:

[0055] In step 101, based on the cable intermediate joint model, the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer is determined.

[0056] Exemplarily, this embodiment pre-constructs a calculation model of the cable intermediate joint model, such as a finite element calculation model, and based on the cable intermediate joint model, calculates and determines the electric field distribution information of the concentrated electric field at the interface between the traditional stress tube and the cable insulation layer. Among them, the electric field distribution information can be the electric field intensity distribution information, and the structure of the cable intermediate joint model from inside to outside can be: cable conductor, crimping tube, cable inner shielding layer, cable insulation layer, air gap, conductive tape, cable outer shielding layer, stress tube, shielding tube, joint insulation layer and joint shielding layer. Each structure is provided with corresponding geometric parameters, material parameters and electrical parameters.

[0057] In step 102, segmentation information of the stress tube is determined based on the electric field distribution information, wherein the segmentation information is used to perform segmentation design on the stress tube, and the segmentation information includes a preferred starting point position of each sub-segment after the stress tube is segmented.

[0058] Exemplarily, in this embodiment, based on the electric field distribution information, the distribution characteristics of the electric field, such as the standard deviation of the electric field strength, etc., can be further analyzed and determined. For the purpose of minimizing the electric field non-uniformity, the stress tube is subjected to segmented design processing based on the electric field distribution characteristics, such as performing planning and solving based on the standard deviation of the electric field strength, so as to determine the segmentation information of the stress tube, including the preferred starting position of each sub-segment after the stress tube is segmented.

[0059] In step 103, parameter information of each sub-segment of the stress tube is determined according to the electric field distribution information, wherein the parameter information includes a preferred relative dielectric constant corresponding to each sub-segment of the stress tube on the interface of the cable insulation layer.

[0060] Exemplarily, after determining the segmentation information of the stress tube, in order to pursue a more uniform electric field distribution while taking into account the actual limitations of material manufacturing and cost factors, this embodiment further determines the material of each sub-segment after each stress tube is segmented. For example, based on the electric field distribution information and the goal of this parameter optimization, a corresponding planning and solving objective function is set, and then the parameters of each sub-segment are solved based on the objective function to determine the preferred relative dielectric constant corresponding to each sub-segment.

[0061] In step 104, the stress tube is optimized according to the segmentation information and the parameter information to obtain a distributed stress tube.

[0062] Exemplarily, after determining the segmentation information and parameter information of the stress tube, this embodiment performs optimization processing on the stress tube, including design optimization and material optimization, to obtain a distributed stress tube.

[0063] The embodiment of the present application determines the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer based on the cable intermediate joint model; based on the electric field distribution information, determines the segmentation information of the stress tube, including the preferred starting point position of each sub-segment after the stress tube is segmented; then, based on the electric field distribution information, determines the preferred relative dielectric constant corresponding to each sub-segment after the stress tube is segmented; based on the segmentation information and parameter information, optimizes the stress tube according to the segmentation information and parameter information to obtain a distributed stress tube. This embodiment optimizes the design and material of the stress tube so that the stress tube can better evacuate the concentrated electric field while taking into account the material cost, optimizes the electric field distribution characteristics of the cable intermediate joint, and further improves the safety and reliability of the power system.

[0064] In addition, in this embodiment, when determining the segmentation information of the stress tube based on the electric field distribution information, the starting position of each segment of the stress tube is determined as the first variable to be optimized, and the corresponding first optimization objective function is determined according to the electric field distribution information and each first variable to be optimized, and then the change rate information of the first optimization objective function relative to each first variable to be optimized is determined, and based on the change rate information, the iterative update rule corresponding to the first variable to be optimized is determined, and then, according to the corresponding iterative update rule, each first variable to be optimized is iteratively updated, and the preferred starting position of each sub-segment of the stress tube can be accurately determined; similarly, for the parameter information of each sub-segment after the stress tube is segmented, in order to pursue a more uniform electric field distribution, while considering the actual limitations and cost factors of material manufacturing, the preferred value of each second variable to be optimized is determined by an iterative calculation method, and then, according to the preferred value of each second variable to be optimized, the preferred relative dielectric constant of the corresponding stress tube sub-segment can be accurately determined. Accurately determined segmentation information and parameter information can make the optimization design of the stress tube more reasonable, and then, more significantly optimize the electric field distribution characteristics of the cable intermediate joint, and greatly improve the safety and reliability of the power system.

[0065] For example, Figure 2 A flowchart of another distributed stress tube design method provided by an embodiment of the present application is shown, and the details are as follows:

[0066] In step 201, based on the cable intermediate joint model, the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer is determined, wherein the electric field distribution information includes the electric field intensity of each measuring point on the concentrated electric field at the interface between the stress tube and the cable insulation layer.

[0067] Exemplarily, in this embodiment, a finite element calculation model of a cable intermediate joint model is pre-constructed, and based on the cable intermediate joint model, the electric field distribution information of the concentrated electric field at the interface between the traditional stress tube and the cable insulation layer is calculated and determined, including the electric field intensity of each measuring point on the concentrated electric field at the interface between the stress tube and the cable insulation layer. Among them, the structure of the cable intermediate joint model from inside to outside can be: cable conductor, crimping tube, cable inner shielding layer, cable insulation layer, air gap, conductive tape, cable outer shielding layer, stress tube, shielding tube, joint insulation layer and joint shielding layer. Each structure is provided with corresponding geometric parameters, material parameters and electrical parameters.

[0068] In one example, Figure 3 This is a schematic diagram of the structure of a 35 kV cable intermediate joint provided in an embodiment of the present application. Figure 3As shown, the structure of the 35 kV cable intermediate joint includes: cable conductor 1, cable inner shielding layer 2, cable insulation layer 3, cable outer shielding layer 4, stress tube 5, air gap 6, crimping tube 7, conductive tape 8, shielding tube 9, joint insulation layer 10, joint shielding layer 11, as shown in FIG. Figure 3 As shown in the figure, the cable outer shielding layer is cut off at the number 12 in the figure. Construct a 35 kV cable intermediate joint model, such as Figure 3 As shown in the figure, its structure from inside to outside is: cable conductor, crimping tube, cable inner shielding layer, cable insulation layer, air gap, conductive tape, cable outer shielding layer, stress tube, shielding tube, joint insulation layer and joint shielding layer; the corresponding geometric parameters are set as follows: the outer diameter of the cable conductor is 20 millimeters (mm), the thickness of the crimping tube is 2.4mm, the thickness of the cable inner shielding layer is 0.7mm, the thickness of the cable insulation layer is 10.5mm, the width of the air gap is 10mm, the thickness of the air gap is 11.2mm, the thickness of the conductive tape is 8.8mm, the thickness of the cable outer shielding layer is 0.7mm, the thickness of the stress tube is 5mm, the thickness of the shielding tube is 7.5mm, and the joint insulation layer is 10.5mm. The minimum thickness of the insulation layer is 5 mm, the maximum thickness of the joint insulation layer is 26 mm, and the thickness of the joint shielding layer is 1.2 mm; the corresponding material parameter settings are as follows: the materials of the cable conductor, crimping tube, and joint shielding layer are all copper; the materials of the cable inner shielding layer, cable outer shielding layer, and conductive tape are all semi-conductive materials; the material of the cable insulation layer is cross-linked polyethylene (XLPE); the material of the stress tube is a high relative dielectric constant material; the material of the shielding tube is a semi-conductive material; the material of the joint insulation layer is silicone rubber; the corresponding electrical parameter settings are as follows: the relative dielectric constant of the cable conductor, crimping tube, and joint shielding layer is 1, and the conductivity is 5.8×10 7 Siemens per meter (S / m); the relative dielectric constant of the cable inner shield layer, cable outer shield layer, and conductive tape are all 6.25, and the conductivity is 2S / m; the relative dielectric constant of the cable insulation layer is 2.3, and the conductivity is 1×10 -10 S / m; the relative dielectric constant of the stress tube is 15, and the conductivity is 1×10 -11 S / m; the relative dielectric constant of the shielding tube is 700, and the conductivity is 5S / m; the relative dielectric constant of the joint insulation layer is 2.3, and the conductivity is 1×10 -12 S / m.

[0069] In one example, the relevant formula for measuring the electric field strength distribution is:

[0070]

[0071] Where E(r) is the electric field strength at the measuring point, in kilovolts per millimeter (kV / mm); V is the potential difference between the measuring point and the point where the cable outer shield is cut off, in kilovolts (kV); ε is the relative dielectric constant at the measuring point, R 0is the outer diameter of the cable, unit: mm; r is the distance from the measuring point to the point where the outer shielding layer of the cable is cut off, unit: mm.

[0072] In step 202, the starting position of each segment of the stress tube is determined as the first variable to be optimized, and the first optimization objective function is determined according to the electric field distribution information and each first variable to be optimized, wherein the dependent variable in the first optimization objective function is the standard deviation of the electric field intensity of the concentrated electric field at the interface between the stress tube and the cable insulation layer, and the independent variable in the optimization objective function is each first variable to be optimized.

[0073] Exemplarily, in this embodiment, in order to determine the segmentation information of the stress tube, the starting position of each segment of the stress tube is first set as the first variable to be optimized, and based on the electric field distribution information and each first variable to be optimized, the standard deviation of the electric field strength of the concentrated electric field at the interface between the stress tube and the cable insulation layer is determined as the first optimization objective function, wherein the dependent variable in the first optimization objective function is the standard deviation of the electric field strength of the concentrated electric field at the interface between the stress tube and the cable insulation layer, and the independent variables in the optimization objective function are each first variable to be optimized.

[0074] In an example, suppose there are n distributed stress tubes in total, and the starting point of each section is x 1 ,x 2 ,...,x n , where x 1 =0,x n+1 =L,x 1 Located at the cut-off point of the cable outer shielding layer, L is the length of the interface between the stress tube and the cable insulation layer, and the average electric field strength of each section is E 1 ,E 2 ,...,E n .

[0075] The first optimization objective function can be expressed as follows:

[0076]

[0077] Where J is the standard deviation of the electric field strength; E i is the average electric field strength in the ith segment; E is the average electric field strength in all segments.

[0078] In step 203, the change rate information of the first optimization objective function relative to each first variable to be optimized is determined, and based on the change rate information, the iterative update rule corresponding to the first variable to be optimized is determined; wherein the iterative update rule is used to control the iterative update of the corresponding first variable to be optimized along the direction in which the first optimization objective function decreases fastest.

[0079] Exemplarily, in this embodiment, the change gradient of the first optimization objective function for each first variable to be optimized is calculated as the iterative update rule corresponding to the first variable to be optimized, and then the corresponding first variable to be optimized can be controlled to be iteratively updated along the direction in which the first optimization objective function decreases fastest according to the iterative update rule.

[0080] In one example, the iterative update rule of the first variable to be optimized can be expressed as follows:

[0081]

[0082] Among them, x i1 and x i0 Represent the new value and old value of the starting position of the i-th segment in the current iteration step and the previous iteration step respectively; α is the iteration step length; Represents the objective function at this point along x i The rate of change of direction, that is, how should x change at the current position i In this way, J can be reduced fastest.

[0083] In step 204, an iterative update process is performed on each first variable to be optimized according to a corresponding iterative update rule to determine the optimal starting point position of each sub-segment of the stress tube.

[0084] Exemplarily, this embodiment performs iterative updating processing on each first variable to be optimized according to the iterative updating rule corresponding to each first variable to be optimized and under the constraint of the constraint information until the iteration termination condition is met to minimize the standard deviation of the electric field intensity.

[0085] In one example, in this embodiment, the constraint information may include: ① Each segment length is non-negative: x i+1 -x i >0,i=1,2,...,n-1;②Total length constraint: x n+1 -x 1 =L.

[0086] In one example, in this embodiment, the iteration termination condition of this iterative optimization may include:

[0087] (1) For each sub-segment i: the number of iterations of the segment reaches a preset maximum value, such as 100, or the starting position x of the segment i The change of meets the first preset condition, for example, the starting position x i The change of is less than 6mm for 5 consecutive times; (2) When all sub-segments meet the above iteration conditions, another round of complete iteration update is performed. If in this round of update, all x iIf the changes in J are all less than a preset threshold, such as 60 mm, or if the changes in J meet the second preset condition, such as if the changes in J are less than 0.0001 kV / mm for five consecutive times, the overall iteration is terminated. (3) If the overall number of iterations reaches a preset maximum value, such as 1000 times, the iteration is terminated forcibly.

[0088] In step 205, the relative dielectric constant corresponding to each sub-segment after the stress tube is segmented is determined as the second variable to be optimized, and the second optimization objective function is determined according to the electric field distribution information; wherein the second optimization objective function is a comprehensive function characterizing the non-uniformity of the concentrated electric field and the parameter adjustment amount of the stress tube, and each second variable to be optimized in the second optimization objective function is an independent variable.

[0089] In one example, the maximum electric field strength and the average electric field strength of the concentrated electric field are determined according to the electric field distribution information, and the quotient of the maximum electric field strength and the average electric field strength is calculated to determine the electric field non-uniformity of the concentrated electric field.

[0090] Each second variable to be optimized is subtracted from the reference relative dielectric constant to obtain a function expression of the parameter adjustment amount corresponding to each sub-segment, and each function expression is summed to determine the parameter adjustment amount expression of the stress tube.

[0091] The electric field non-uniformity and parameter adjustment amount expressions are weighted summed to determine the second optimization objective function.

[0092] Exemplarily, after determining the segmentation information of the stress tube, in order to pursue a more uniform electric field distribution and take into account the actual limitations of material manufacturing and cost factors, it is necessary to further determine the material of each sub-segment after each stress tube segmentation. To this end, the relative dielectric constant corresponding to each sub-segment after the stress tube segmentation is determined as the second variable to be optimized, and the second optimization objective function is determined based on the electric field distribution information; wherein the second optimization objective function is a comprehensive function that characterizes the non-uniformity of the concentrated electric field and the parameter adjustment amount of the stress tube, and each second variable to be optimized in the second optimization objective function is an independent variable.

[0093] In one example, the maximum electric field strength and the average electric field strength of the concentrated electric field are determined according to the electric field strength of each measurement point on the concentrated electric field, and the quotient of the maximum electric field strength and the average electric field strength is calculated to determine the electric field non-uniformity of the concentrated electric field; each second variable to be optimized is subtracted from the reference relative dielectric constant to obtain the function expression of the parameter adjustment amount corresponding to each sub-segment, and each function expression is summed to determine the parameter adjustment amount expression of the stress tube; the electric field non-uniformity and the parameter adjustment amount expression are weighted summed to determine the second optimization objective function. The second optimization objective function H can be expressed by the following formula:

[0094]

[0095] Where: 1 With ω 2 are the weight factors of the importance of two different targets; I U is the non-uniformity index of the concentrated electric field; ε r,i is the relative dielectric constant of the material of the i-th section of the stress tube; ε r,r is the reference relative permittivity.

[0096] Among them, the unevenness index I U The relevant formula is:

[0097]

[0098] Among them, I U E is the electric field non-uniformity index, the smaller the better; max is the maximum value of the electric field intensity in the entire interface; E avg is the average value of the electric field strength in the entire interface.

[0099] In step 206, the change rate information of the second optimization objective function relative to each second variable to be optimized is calculated, and based on the change rate information, the iterative update rule of the corresponding variable to be optimized is determined; wherein the iterative update rule is used to control the iterative update of the corresponding second optimization objective function of the second variable to be optimized along the direction in which the second optimization objective function decreases fastest.

[0100] Exemplarily, this embodiment calculates the rate of change information of the second optimization objective function for each second variable to be optimized, i.e., the gradient, as an iterative update rule corresponding to the second variable to be optimized, and then the corresponding second variable to be optimized can be controlled to be iteratively updated along the direction in which the second optimization objective function decreases fastest according to the iterative update rule.

[0101] In one example, the iterative update rule of the second variable to be optimized can be expressed as follows:

[0102]

[0103] Among them, ε r,i1 and ε r,i0 Represent the new value and old value of the relative dielectric constant of the i-th segment in the current iteration step and the previous iteration step respectively; β is the iteration step length; In order to reduce the objective function, according to its relative to the current ε r,i The gradient of ε is used to adjust r,i , and the direction is the opposite of the gradient.

[0104] In step 207, according to the iterative update rule corresponding to each second variable to be optimized, each second variable to be optimized is iteratively updated until the iteration termination condition is met, and the preferred value of each second variable to be optimized is determined; wherein the iteration termination condition is used to indicate any one or more of the iteration number threshold information, the second variable to be optimized convergence information and the second optimization objective function convergence information.

[0105] Exemplarily, this embodiment performs iterative update processing on each second variable to be optimized according to the iterative update rule corresponding to each second variable to be optimized until the iteration termination condition is met, and determines the preferred value of each second variable to be optimized under the goal of reducing the electric field non-uniformity and achieving a smaller relative dielectric constant adjustment amount as much as possible.

[0106] In one example, the iteration termination condition of this iterative optimization may include:

[0107] (1) For each sub-segment i, ε r,i :The number of iterations reaches the preset maximum value, such as 100, or ε r,i The change meets the third preset condition; (2) When the relative dielectric constants corresponding to all sub-segments meet the above iteration conditions, another round of complete iterative update is performed. If in this round of update, all ε r,i If the sum of the changes in H is less than a preset threshold, such as 20, or if the change in H meets the fourth preset condition, such as the change in H is less than 0.001 for five consecutive times, the overall iteration is terminated. (3) If the overall number of iterations reaches a preset maximum value, such as 500, the iteration is terminated forcibly.

[0108] In step 208, the preferred relative dielectric constant of the corresponding stress tube section is determined according to the preferred values ​​of each second variable to be optimized.

[0109] In one example, step 208 includes:

[0110] According to the preferred value of each second variable to be optimized, the electric field non-uniformity of each corresponding sub-segment is calculated.

[0111] If it is determined that the non-uniformity of each sub-segment of the stress tube is less than the preset threshold, the preferred value of the second variable to be optimized is determined to be the relative dielectric constant of the corresponding sub-segment.

[0112] If it is determined that the unevenness of the stress tube sub-segment is greater than or equal to the preset threshold, the step of iteratively updating each second variable to be optimized according to the iterative update rule corresponding to each second variable to be optimized is repeatedly executed until the unevenness of each sub-segment is less than the preset threshold.

[0113] Exemplarily, after iteratively determining the preferred value of each second variable to be optimized, for each sub-segment, the electric field non-uniformity of each sub-segment under the corresponding preferred value of the second variable to be optimized is calculated. If it is determined that the non-uniformity of each sub-segment of the stress tube is less than a preset threshold, the preferred value of the second variable to be optimized is determined to be the relative dielectric constant of the corresponding sub-segment; if it is determined that the non-uniformity of a stress tube sub-segment is greater than or equal to the preset threshold, the step of iteratively updating each second variable to be optimized according to the iterative update rule corresponding to each second variable to be optimized is repeatedly executed until the non-uniformity of each sub-segment is less than the preset threshold.

[0114] In step 209, the stress tube is optimized according to the segmentation information and parameter information to obtain a distributed stress tube.

[0115] Exemplarily, after determining the segmentation information and parameter information of the stress tube, this embodiment performs optimization processing on the stress tube, including design optimization and material optimization, to obtain a distributed stress tube.

[0116] Figure 4 A schematic diagram of a distributed stress tube provided in an embodiment of the present application is shown in FIG. Figure 4 As shown in the figure, the positional relationship between the distributed stress tube and the cable inner shielding layer, cable conductor, cable outer shielding layer and cable insulation layer is shown in the figure. The distributed stress tube consists of various sub-segments x 1 ,x 2 ,...,x n+1 Composition, x 1 Located at the cut-off point of the cable outer shield, x n+1 Located at the end point of the interface between the distributed stress tube and the cable insulation layer.

[0117] In one example, Figure 5 The schematic diagram of the distributed stress tube in the 35 kV cable intermediate joint provided in the embodiment of the present application, the concentrated electric field at the cut-off point of the outer shielding layer calculated according to the above steps is between x=0mm and x=4.8mm, and the specific segmentation of the distributed stress tube and the relative dielectric constant of each segment are as follows: the relative dielectric constant of the stress tube I between x=0mm and x=4.8mm is set to 15, the relative dielectric constant of the stress tube II between x=4.8mm and x=10.7mm is 17.5; the relative dielectric constant of the stress tube III between x=10.7mm and x=21.9mm is 25; the relative dielectric constant of the stress tube IV between x=21.9mm and x=41.2mm is 32. The relative dielectric constant of the stress tube V between x=41.2mm and x=98mm is 46.

[0118] In step 210, based on the cable intermediate joint model, the optimized electric field distribution information of the concentrated electric field at the interface between the distributed stress tube and the cable insulation layer is determined.

[0119] Exemplarily, according to the obtained segmentation information and parameter information, the stress tube structure in the cable intermediate joint model is updated accordingly, and based on the updated cable intermediate joint model, finite element calculation is re-performed to determine the optimized electric field distribution information of the concentrated electric field at the interface between the distributed stress tube and the cable insulation layer, including the electric field strength at each measuring point.

[0120] In step 211, data analysis is performed on the optimized electric field distribution information and the electric field distribution information to generate an optimization analysis report of the distributed stress tube.

[0121] For example, by performing data analysis and comparison on the electric field distribution information before and after the stress tube is optimized, it can be concluded that the distributed stress tube has an outstanding effect in dispersing concentrated electric fields and uniform electric fields compared with traditional ordinary stress tubes, and then an optimization analysis report of the distributed stress tube can be generated to further guide the design optimization of the intermediate joint stress tube.

[0122] In one example, Figure 6 A schematic diagram of a field strength comparison diagram of a common stress tube and a distributed stress tube provided in an embodiment of the present application, Figure 6 The A and B curves in the figure respectively represent the electric field intensity distribution from the cut-off point of the cable outer shield layer in the 35 kV cable intermediate joint (x = 0 mm) to the end of the stress tube (x = 98 mm) when the ordinary stress tube and the distributed stress tube are used. When the ordinary stress tube is used, the calculated concentrated electric field at the cut-off point of the cable outer shield layer is between x = 0 mm and x = 4.8 mm, and the electric field non-uniformity between x = 4.8 mm and x = 98 mm is 1.974. Curve A is the field intensity curve when the ordinary stress tube is used, and curve B is the field intensity curve when the distributed stress tube is used. Figure 6 As shown in the figure, after the application of distributed stress tubes, the field strength uniformity between the interface of the stress tube and the cable insulation layer in the 35 kV cable intermediate joint from x = 4.8mm to x = 98mm dropped to 1.290, which is 34.65% less than the electric field non-uniformity when ordinary stress tubes are used. The maximum field strength dropped from 4.606 kV / mm to 2.317 kV / mm, and the maximum field strength dropped by 49.70%.

[0123] The embodiment of the present application uses an iterative update method to accurately determine the segmentation information and parameter information of the stress tube, which can make the optimization design of the stress tube more reasonable, and furthermore, more significantly optimize the electric field distribution characteristics of the cable intermediate joint, greatly improving the safety and reliability of the power system; by using distributed stress tubes designed in segments using materials with different relative dielectric constants, the electric field distribution away from the cut-off point of the cable outer shielding layer can be effectively adjusted and uniformed, reducing the peak value of the electric field intensity, thereby reducing the risk of local discharge and improving the operational safety and reliability of the cable system; by distributing the stress tube design and reasonably utilizing high relative dielectric constant materials, over-reliance on a single high-performance material is avoided, thereby ensuring the performance of the cable while also taking into account economy and cost-effectiveness; the optimized electric field distribution improves the working conditions of the cable insulation layer, reduces the insulation aging rate, extends the service life of the cable and the intermediate joint, and reduces maintenance costs.

[0124] It should be understood that the size of the serial numbers of the steps in the above embodiments 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 application.

[0125] The following is an embodiment of the device of the present application. For details not described in detail, please refer to the corresponding method embodiment described above.

[0126] Figure 7 The structural schematic diagram of the distributed stress tube design device provided in the embodiment of the present application is shown. For the convenience of explanation, only the part related to the embodiment of the present application is shown, which is described in detail as follows:

[0127] like Figure 7 As shown, the distributed stress tube design device 700 includes:

[0128] The first calculation unit 701 is used to determine the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer based on the cable intermediate joint model.

[0129] The first processing unit 702 is used to determine segmentation information of the stress tube based on the electric field distribution information, wherein the segmentation information is used to perform segmentation design on the stress tube, and the segmentation information includes a preferred starting position of each sub-segment after the stress tube is segmented.

[0130] The second processing unit 703 is used to determine parameter information of each sub-segment after the stress tube is segmented according to the electric field distribution information, wherein the parameter information includes a preferred relative dielectric constant corresponding to each sub-segment of the stress tube on the interface of the cable insulation layer.

[0131] The optimization unit 704 is used to optimize the stress tube according to the segmentation information and the parameter information to obtain a distributed stress tube.

[0132] In a possible implementation, the electric field distribution information includes the electric field intensity of each measuring point on the concentrated electric field at the interface between the stress tube and the cable insulation layer; the first processing unit 702 includes:

[0133] The first processing subunit is used to determine the starting position of each segment of the stress tube as the first variable to be optimized, and determine the first optimization objective function according to the electric field distribution information and each first variable to be optimized, wherein the dependent variable in the first optimization objective function is the standard deviation of the electric field intensity of the concentrated electric field at the interface between the stress tube and the cable insulation layer, and the independent variable in the optimization objective function is each first variable to be optimized.

[0134] The second processing sub-unit is used to determine the change rate information of the first optimization objective function relative to each first variable to be optimized, and based on the change rate information, determine the iterative update rule corresponding to the first variable to be optimized; wherein the iterative update rule is used to control the iterative update of the corresponding first variable to be optimized along the direction in which the first optimization objective function decreases fastest.

[0135] The first calculation subunit is used to perform iterative update processing on each first variable to be optimized according to a corresponding iterative update rule, and determine the optimal starting point position of each sub-segment of the stress tube.

[0136] In a possible implementation, it is characterized in that the second processing unit 703 includes:

[0137] The third processing subunit is used to determine the relative dielectric constant corresponding to each sub-segment after the stress tube is segmented as the second variable to be optimized, and determine the second optimization objective function according to the electric field distribution information; wherein the second optimization objective function is a comprehensive function that characterizes the unevenness of the concentrated electric field and the parameter adjustment amount of the stress tube, and each second variable to be optimized in the second optimization objective function is an independent variable.

[0138] The fourth processing sub-unit is used to calculate the change rate information of the second optimization objective function relative to each second variable to be optimized, and determine the iterative update rule of the corresponding variable to be optimized based on the change rate information; wherein the iterative update rule is used to control the iterative update of the corresponding second optimization objective function of the second variable to be optimized along the direction in which the second optimization objective function decreases fastest.

[0139] The second calculation subunit is used to perform iterative update processing on each second variable to be optimized according to the corresponding iterative update rule, and determine the preferred relative dielectric constant corresponding to each sub-segment of the stress tube.

[0140] In a possible implementation manner, it is characterized in that the third processing subunit includes:

[0141] The first calculation module is used to determine the maximum electric field strength and the average electric field strength of the concentrated electric field according to the electric field distribution information, and calculate and determine the quotient of the maximum electric field strength and the average electric field strength as the electric field non-uniformity of the concentrated electric field.

[0142] The second calculation module is used to perform subtraction calculation on each second variable to be optimized and the reference relative dielectric constant to obtain the function expression of the parameter adjustment amount corresponding to each sub-segment, and to sum up each function expression to determine the parameter adjustment amount expression of the stress tube.

[0143] The third calculation module is used to perform weighted sum processing on the electric field non-uniformity and parameter adjustment amount expressions to determine the second optimization objective function.

[0144] In a possible implementation, the second computing subunit includes:

[0145] The fourth calculation module is used to iteratively update each second variable to be optimized according to the iterative update rule corresponding to each second variable to be optimized, until the iteration termination condition is met, and determine the preferred value of each second variable to be optimized; wherein the iteration termination condition is used to indicate any one or more of the iteration number threshold information, the first variable to be optimized convergence information and the first optimization objective function convergence information, and the constraint information is used to constrain the difference between the next second variable to be optimized and the previous second variable to be optimized to be greater than zero, and to constrain the difference between the last second variable to be optimized and the first second variable to be optimized to be a fixed value, and the fixed value is the length of the interface between the stress tube and the cable insulation layer.

[0146] The processing module is used to determine the preferred relative dielectric constant of the corresponding stress tube section according to the preferred values ​​of each second variable to be optimized.

[0147] In a possible implementation, the processing module is specifically used for:

[0148] According to the preferred value of each second variable to be optimized, the electric field non-uniformity of each corresponding sub-segment is calculated.

[0149] If it is determined that the non-uniformity of each sub-segment of the stress tube is less than the preset threshold, the preferred value of the second variable to be optimized is determined to be the relative dielectric constant of the corresponding sub-segment.

[0150] If it is determined that the unevenness of the stress tube sub-segment is greater than or equal to the preset threshold, the step of iteratively updating each second variable to be optimized according to the iterative update rule corresponding to each second variable to be optimized is repeatedly executed until the unevenness of each sub-segment is less than the preset threshold.

[0151] In a possible implementation, after the optimization unit 704, the apparatus further includes:

[0152] The second calculation unit is used to determine the optimized electric field distribution information of the concentrated electric field at the interface between the distributed stress tube and the cable insulation layer based on the cable intermediate joint model.

[0153] The analysis unit is used to perform data analysis on the optimized electric field distribution information and the electric field distribution information, and generate an optimization analysis report for the distributed stress tube.

[0154] Figure 8 Schematic diagram of an electronic device provided in an embodiment of the present application. Figure 8 As shown, the electronic device 800 of this embodiment includes: a processor 801 and a memory 802. The memory 802 is used to store a computer program 803, and the processor 801 is used to call and run the computer program 803 stored in the memory 801 to perform the steps in the above-mentioned distributed stress tube design method embodiments, such as Figure 1 Alternatively, the processor 801 is used to call and run the computer program 803 stored in the memory 802 to implement the functions of each module / unit in the above-mentioned device embodiments, such as Figure 7 Functionality of modules / units 701 to 704 is shown.

[0155] Exemplarily, the computer program 803 may be divided into one or more modules / units, one or more modules / units are stored in the memory 802 and executed by the processor 801 to complete the present application. The one or more modules / units may be a series of computer program instruction segments that can complete specific functions, and the instruction segments are used to describe the execution process of the computer program 803 in the electronic device 800. For example, the computer program 803 may be divided into Figure 7 Modules / units 701 to 704 are shown.

[0156] The electronic device 800 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 800 may include, but is not limited to, a processor 801 and a memory 802. Those skilled in the art will appreciate that Figure 8 It is only an example of the electronic device 800 and does not constitute a limitation of the electronic device 800. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0157] The processor 801 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0158] The memory 802 may be an internal storage unit of the electronic device 800, such as a hard disk or memory of the electronic device 800. The memory 802 may also be an external storage device of the electronic device 800, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (FlashCard), etc. equipped on the electronic device 800. Further, the memory 802 may also include both an internal storage unit of the electronic device 800 and an external storage device. The memory 802 is used to store computer programs and other programs and data required by the electronic device. The memory 802 may also be used to temporarily store data that has been output or is to be output.

[0159] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0160] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0161] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0162] In the embodiments provided in the present application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, 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 through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0163] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0164] In addition, each functional unit in each 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.

[0165] If the integrated module / 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 computer-readable storage medium. Based on this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of each of the above-mentioned distributed stress tube design method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electric carrier signals and telecommunication signals.

[0166] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A distributed stress tube design method, characterized in that: The method comprises: Based on the cable intermediate joint model, the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer is determined; Based on the electric field distribution information, determining the segmentation information of the stress tube, wherein the segmentation information is used to perform segmentation design on the stress tube, and the segmentation information includes a preferred starting point position of each sub-segment after the stress tube is segmented; Determine parameter information of each sub-segment after the stress tube is segmented according to the electric field distribution information, wherein the parameter information includes a preferred relative dielectric constant corresponding to each sub-segment of the stress tube on the interface of the cable insulation layer; The stress tube is optimized according to the segmentation information and parameter information to obtain a distributed stress tube.

2. The method according to claim 1, characterized in that The electric field distribution information includes the electric field intensity of each measuring point on the concentrated electric field at the interface between the stress tube and the cable insulation layer; The determining the segmentation information of the stress tube based on the electric field distribution information includes: Determine the starting position of each segment of the stress tube as the first variable to be optimized, and determine the first optimization objective function according to the electric field distribution information and each first variable to be optimized, wherein the dependent variable in the first optimization objective function is the standard deviation of the electric field intensity of the concentrated electric field at the interface between the stress tube and the cable insulation layer, and the independent variable in the first optimization objective function is each first variable to be optimized; Determine the change rate information of the first optimization objective function relative to each first variable to be optimized, and determine the iterative update rule corresponding to the first variable to be optimized based on the change rate information; wherein the iterative update rule is used to control the iterative update of the corresponding first variable to be optimized along the direction in which the first optimization objective function decreases fastest; According to the corresponding iterative updating rule, an iterative updating process is performed on each first variable to be optimized to determine the optimal starting point position of each sub-segment of the stress tube.

3. The method according to claim 2, characterized in that Determining parameter information of each sub-segment after the stress tube is segmented according to the electric field distribution information includes: Determine the relative dielectric constant corresponding to each sub-segment after the stress tube is segmented as the second variable to be optimized, and determine the second optimization objective function according to the electric field distribution information; wherein the second optimization objective function is a comprehensive function that characterizes the unevenness of the concentrated electric field and the parameter adjustment amount of the stress tube, and each second variable to be optimized in the second optimization objective function is an independent variable; Calculating the change rate information of the second optimization objective function relative to each second variable to be optimized, and determining the iterative update rule of the corresponding variable to be optimized based on the change rate information; wherein the iterative update rule is used to control the iterative update of the corresponding second optimization objective function of the second variable to be optimized along the direction in which the second optimization objective function decreases fastest; According to the corresponding iterative updating rule, an iterative updating process is performed on each second variable to be optimized to determine the preferred relative dielectric constant corresponding to each sub-segment of the stress tube.

4. The method according to claim 3, characterized in that Determining a second optimization objective function according to the electric field distribution information includes: Determine the maximum electric field strength and the average electric field strength of the concentrated electric field according to the electric field distribution information, and calculate and determine the quotient of the maximum electric field strength and the average electric field strength as the electric field non-uniformity of the concentrated electric field; Subtract each second variable to be optimized from the reference relative dielectric constant to obtain a function expression of the parameter adjustment amount corresponding to each sub-segment, and sum each function expression to determine the parameter adjustment amount expression of the stress tube; The electric field non-uniformity and the parameter adjustment amount expression are weightedly summed to determine the second optimization objective function.

5. The method according to claim 3, characterized in that: The iterative updating process is performed on each second variable to be optimized according to the corresponding iterative updating rule to determine the preferred relative dielectric constant corresponding to each sub-segment of the stress tube, including: According to the iterative update rule corresponding to each second variable to be optimized, iteratively update each second variable to be optimized until an iteration termination condition is met, and determine the preferred value of each second variable to be optimized; wherein the iteration termination condition is used to indicate any one or more of the iteration number threshold information, the second variable to be optimized convergence information, and the second optimization objective function convergence information; According to the preferred values ​​of each second variable to be optimized, the preferred relative dielectric constant of the corresponding stress tube section is determined.

6. The method according to claim 5, characterized in that The step of determining the preferred relative dielectric constant of the corresponding stress tube section according to the preferred values ​​of each second variable to be optimized includes: According to the preferred value of each second variable to be optimized, calculating the electric field non-uniformity of each corresponding sub-segment; If it is determined that the non-uniformity of each sub-segment of the stress tube is less than the preset threshold, then determining the preferred value of the second variable to be optimized to be the relative dielectric constant of the corresponding sub-segment; If it is determined that the unevenness of the stress tube sub-segment is greater than or equal to the preset threshold, the step of iteratively updating each second variable to be optimized according to the iterative update rule corresponding to each second variable to be optimized is repeatedly executed until the unevenness of each sub-segment is less than the preset threshold.

7. The method according to any one of claims 1 to 6, characterized in that After obtaining the distributed stress tube, the method further comprises: Based on the cable intermediate joint model, determining the optimized electric field distribution information of the concentrated electric field at the interface between the distributed stress tube and the cable insulation layer; Data analysis is performed on the optimized electric field distribution information and the electric field distribution information to generate an optimization analysis report of the distributed stress tube.

8. A distributed stress tube design device, characterized in that: The device comprises: The first calculation unit is used to determine the electric field distribution information of the concentrated electric field at the interface between the stress tube and the cable insulation layer based on the cable intermediate joint model; A first processing unit is used to determine segmentation information of the stress tube based on the electric field distribution information, wherein the segmentation information is used to perform segmentation design on the stress tube, and the segmentation information includes a preferred starting point position of each sub-segment after the stress tube is segmented; A second processing unit is used to determine parameter information of each sub-segment after the stress tube is segmented according to the electric field distribution information, wherein the parameter information includes a preferred relative dielectric constant corresponding to each sub-segment of the stress tube on the interface of the cable insulation layer; The optimization unit is used to optimize the stress tube according to the segmentation information and parameter information to obtain a distributed stress tube.

9. An electronic device, characterized in that: It comprises a processor and a memory, wherein the memory is used to store a computer program, and the processor is used to call and run the computer program stored in the memory to execute the distributed stress tube design method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method as claimed in any one of claims 1 to 7 are implemented.

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