Method, device and equipment for determining filling proportion of cable high-thermal-conductivity material and medium

Abstract

The invention discloses a cable high thermal conductivity material filling proportion determination method, device, equipment and medium, and the method comprises the steps: building a simulation model of a cable trench, determining the current carrying value of a cable in the cable trench in thermal conductivity materials with different filling proportions through the simulation model, calculating the life cycle total cost of the thermal conductivity materials according to each filling proportion, and calculating the filling proportion of the cable high thermal conductivity materials according to the life cycle total cost. Based on the current carrying value corresponding to each filling proportion, calculating the total economic benefit after the heat conduction material is filled, calculating the net profit of each filling proportion through the total economic benefit and the total cost of the life cycle, and determining the filling proportion with the maximum net profit as the target filling proportion of the cable trench. The filling proportion does not need to be determined through manual experimental measurement, a large amount of manpower and material resources are saved, the final target filling proportion is determined by considering the total cost and economic benefits of different filling proportions, the performance is considered, the economic cost is also considered, and the optimal performance and economic benefits can be obtained by filling the heat conduction material according to the target filling proportion.

Description

Technical Field

[0001] The present invention relates to the technical field of electric energy transmission, and in particular to a method, device, equipment and medium for determining the filling ratio of a high thermal conductivity material of a cable. Background Art

[0002] Reducing the environmental thermal parameters of high-voltage cables can effectively improve the heat dissipation efficiency of the cables and thus enhance their current-carrying capacity. High thermal conductivity materials have the characteristics of high stability and high thermal conductivity and are widely used in cable heat dissipation.

[0003] In terms of filling the cable trench with high thermal conductivity materials, the purpose of filling with high thermal conductivity materials is to stimulate the current carrying potential of the cable, increase the current carrying capacity of the cable, and obtain better economic and environmental benefits. Therefore, how to determine the optimal filling ratio of high thermal conductivity materials in the cable trench is a key issue. At present, there are two methods for determining the filling ratio of high thermal conductivity materials: the first method is to determine the thermal conductivity of the filling material through experiments, so that the thermal conductivity reaches the required standard to determine the filling ratio of high thermal conductivity materials; the second method is to select the filling ratio corresponding to the required heat dissipation efficiency by measuring the conductor temperature.

[0004] The above two methods are complicated and require a lot of manpower and material resources for experimental measurement, and only consider performance factors while ignoring the economic costs in actual situations. Summary of the invention

[0005] The present invention provides a method, device, equipment and medium for determining the filling ratio of high thermal conductivity materials in cables, so as to solve the problem that the prior art determines the filling ratio of thermal conductive materials in cable trenches by experimental methods and measurement methods, which requires a lot of manpower and material resources and only considers performance without considering economic costs.

[0006] In a first aspect, the present invention provides a method for determining a filling ratio of a cable high thermal conductivity material, comprising:

[0007] Constructing a simulation model of a cable trench, and determining the current carrying value of the cables in the cable trench when they are filled with heat conductive materials at different proportions through the simulation model;

[0008] calculating the total life cycle cost of the thermally conductive material for each filling ratio;

[0009] Calculating the total economic benefit after filling the thermally conductive material based on the current carrying value corresponding to each filling ratio;

[0010] Calculate the net profit of each filling ratio by using the total economic benefit and the total life cycle cost;

[0011] The filling ratio with the maximum net profit is determined as the target filling ratio of the cable trench.

[0012] Optionally, constructing a simulation model of a cable trench, and determining the current carrying value of the cables in the cable trench when the cables are filled with heat conductive materials at different proportions by the simulation model, comprises:

[0013] Constructing a simulation geometric model of the cable trench in a multi-physics modeling application according to geometric dimensions of the cable trench and stacking arrangement data of cables in the cable trench;

[0014] Initializing cable material properties, cable trench wall material properties, soil position, thermal conductive material properties, and thermal conductivity of the air domain in the simulation geometric model;

[0015] Set simulation boundary conditions;

[0016] In the multi-physics modeling application, simulation is performed based on the simulation model of the cable trench to obtain current carrying values ​​I corresponding to different filling ratios α when the filling ratio α ranges from 0% to 100%.

[0017] Optionally, set simulation boundary conditions, including:

[0018] Obtaining historical monitoring data of soil around the cable trench;

[0019] Setting the temperature of the soil within a preset range at the bottom of the cable trench based on the historical monitoring data;

[0020] Setting the temperature of the soil within a preset range on the left and right side walls of the cable trench;

[0021] Set the soil temperature of the top wall of the cable trench and the convection heat dissipation coefficient of the air.

[0022] Optionally, the total life cycle cost of the thermal conductive material is calculated for each filling ratio, including:

[0023] Calculate the initial construction cost based on each filling ratio and the geometric dimensions of the cable trench The specific calculation method is as follows:

[0024]

[0025] Where x is the length of the cable trench, y is the width of the cable trench, h is the height of the cable trench, z is the unit volume cost of the thermal conductive material, and α is the filling ratio;

[0026] Calculate the cost of refilling the thermally conductive material over its lifetime The specific calculation method is as follows:

[0027]

[0028] represents the cost of refilling thermal conductive material, represents the cost of the kth refill in the l-year life cycle The discounted value of , i is the discount rate;

[0029] Calculate the operating costs of the cable trench The specific calculation method is as follows:

[0030]

[0031] represents the operating expenses incurred in year n, represents the discounted value of the operating cost for n years, i represents the discount rate;

[0032] Calculate the initial construction cost Lifecycle refill costs and operating costs The sum of the values ​​gives the total life cycle cost of the thermal conductive material.

[0033] Optionally, the total economic benefit after filling the thermal conductive material is calculated based on the current carrying value corresponding to each filling ratio, including:

[0034] Calculate the first economic benefit P of reducing power outage losses l , the specific calculation method is as follows:

[0035] P l =A(1-e -t / τ );

[0036] t is the duration of the power outage, A is the power outage cost per unit of electricity, and τ is the loss time constant;

[0037] Calculate the second economic benefit L of reducing power outage losses. The specific calculation method is as follows:

[0038] L = LOLF × P2 + EENS × P3;

[0039] LOLF×P2 is the fault repair cost, LOLF is the power shortage frequency, P2 is the average cost of fault inspection and repair, EENS×P3 is the profit loss caused by power outage, EENS is the expected value of power shortage, P3 is the profit loss per unit of power outage, which depends on the price difference between the unit power purchase and sale and the compensation fee for users;

[0040] Calculate the third economic benefit K of the current value corresponding to each filling ratio. The specific calculation method is as follows:

[0041] K = 0.8U × I × 365 × 12 × L;

[0042] L is the operating life; U and I are the rated voltage and current respectively;

[0043] Calculate the first economic benefit p l The sum of (t), the second economic benefit L and the third economic benefit K is the total economic benefit for each filling ratio.

[0044] Optionally, the net profit of each filling ratio is calculated by using the total economic benefit and the total life cycle cost, including:

[0045] The difference between the economic benefit of each filling ratio and the total life cycle cost is calculated to obtain the net profit of each filling ratio.

[0046] In a second aspect, the present invention provides a device for determining a filling ratio of a cable high thermal conductivity material, comprising:

[0047] A simulation module, used to construct a simulation model of a cable trench, and to determine the current carrying value of the cables in the cable trench when they are filled with heat conductive materials at different proportions through the simulation model;

[0048] A cost calculation module, for calculating the total life cycle cost of the thermal conductive material for each filling ratio;

[0049] An economic benefit calculation module, used to calculate the total economic benefit after filling the thermal conductive material based on the current carrying value corresponding to each filling ratio;

[0050] A profit calculation module, used for calculating the net profit of each filling ratio by using the total economic benefit and the total life cycle cost;

[0051] The target filling ratio determination module is used to determine the filling ratio with the maximum net profit as the target filling ratio of the cable trench.

[0052] In a third aspect, the present invention provides an electronic device, the electronic device comprising:

[0053] at least one processor; and

[0054] a memory communicatively connected to the at least one processor; wherein,

[0055] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the filling ratio of the high thermal conductivity material of the cable as described in any one of the first aspects of the present invention.

[0056] In a fourth aspect, the present invention provides a computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable a processor to implement the method for determining the filling ratio of a cable high thermal conductivity material as described in any one of the first aspects of the present invention when executed.

[0057] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method for determining the filling ratio of a cable high thermal conductivity material as described in any one of the first aspects.

[0058] The embodiment of the present invention constructs a simulation model of the cable trench to simulate the current-carrying conditions of the cable when filled with thermal conductive materials in different proportions, obtains the current-carrying values ​​corresponding to different filling proportions, and then calculates the total life cycle cost of the thermal conductive materials with different filling proportions, and calculates the total economic benefits after filling the thermal conductive materials through the current-carrying values ​​corresponding to the different filling proportions, and further calculates the net profit of each filling proportion through the total economic benefits and the total cost, and determines the filling proportion with the largest net profit as the target filling proportion of the cable trench, so that the cable trench is filled with thermal conductive materials according to the target filling proportion, and there is no need to determine the filling proportion through manual experimental measurement, which saves a lot of manpower and material resources, and considers the total cost and economic benefits of different filling proportions to determine the final target filling proportion, which takes into account both performance and economic cost, and can obtain the best performance and economic benefits by filling the thermal conductive material with the target filling proportion.

[0059] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0061] Figure 1 This is a flow chart of a method for determining a filling ratio of a cable high thermal conductivity material provided in the first embodiment of the present invention;

[0062] Figure 2 This is a flow chart of a method for determining the filling ratio of a cable high thermal conductivity material provided in Embodiment 2 of the present invention;

[0063] Figure 3 It is a schematic diagram of the cable trench simulation model;

[0064] Figure 4 It is a structural schematic diagram of a device for determining the filling ratio of a cable high thermal conductivity material provided in Embodiment 3 of the present invention;

[0065] Figure 5 It is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0066] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0067] Embodiment 1

[0068] Figure 1 This is a flow chart of a method for determining the filling ratio of a cable with high thermal conductivity material provided in the first embodiment of the present invention. This embodiment can be applied to the case of determining the filling ratio of thermal conductive material in a cable trench. The method can be executed by a device for determining the filling ratio of a cable with high thermal conductive material. The device for determining the filling ratio of a cable with high thermal conductive material can be implemented in the form of hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method for determining the filling ratio of the high thermal conductivity material of the cable includes:

[0069] S101. Construct a simulation model of a cable trench, and determine the current carrying values ​​of the cables in the cable trench when the thermal conductive materials are filled in different proportions through the simulation model.

[0070] This embodiment is used to determine the filling ratio of thermal conductive material in a cable trench, wherein the cable trench may be a cable trench buried under the ground, in which cables for power transmission may be laid, wherein the cross-section of the cable trench may be square or circular. This embodiment is described by taking the cross-section of the cable trench as a square as an example, but does not limit the cross-section of the cable trench.

[0071] In this embodiment, a simulation model of the cable trench can be established in a multi-physics modeling application (COMSOL) based on the coupling between the electric field, temperature field and fluid field in the cable trench, the geometric dimensions of the cable trench, the arrangement of cables in the cable trench, the performance data of the thermal conductive material, the historical temperature data of the soil where the cable trench is located, the air data, etc. The simulation model is used to simulate the current carrying conditions of the cable under different filling ratios of thermal conductive materials to obtain the current carrying values ​​corresponding to different filling ratios.

[0072] S102. Calculate the total life cycle cost of the thermal conductive material for each filling ratio.

[0073] In this embodiment, the costs required for thermally conductive materials with different filling ratios are different. The total life cycle cost of the thermally conductive material with each filling ratio can be calculated, where the total life cycle cost can include the construction cost and operating cost when the thermally conductive material is first filled, and the cost of refilling the thermally conductive material at the end of the life cycle. In this embodiment, the construction cost can be calculated by the filling ratio, the unit price of the thermally conductive material, and the geometric dimensions of the cable trench, the operating cost can be calculated by the line management fee, the monitoring fee of the thermal conductive material performance, and the manpower and material resources required for the reduction of the thermal conductive material performance, and the refilling cost can be calculated by the number of fillings, the filling cost and the discount rate. The construction cost, the operating cost and the refilling cost are calculated to obtain the total life cycle cost of filling the cable trench with thermally conductive materials according to each filling ratio.

[0074] S103, calculating the total economic benefit after filling with the thermal conductive material based on the current carrying value corresponding to each filling ratio.

[0075] In this embodiment, the total economic benefit may refer to the increased economic benefit after filling the cable trench with thermal conductive material according to each filling ratio. Specifically, the total economic benefit may include the first economic benefit and the second economic benefit generated by reducing power outages after filling with the thermal conductive material, and the third economic benefit generated by increasing the current carrying capacity of the cable after filling with the thermal conductive material.

[0076] S104. Calculate the net profit of each filling ratio by using the total economic benefit and the total life cycle cost.

[0077] Specifically, after calculating the total economic benefit and the total life cycle cost for each filling ratio, the difference between the total economic benefit and the total life cycle cost is calculated to obtain the net profit of each filling ratio.

[0078] S105. Determine the filling ratio with the maximum net profit as the target filling ratio of the cable trench.

[0079] For each filling ratio within the range of 0-100%, they can be sorted from high to low according to the net profit, and the filling ratio ranked first is determined as the target filling ratio of the cable trench.

[0080] The embodiment of the present invention constructs a simulation model of the cable trench to simulate the current-carrying conditions of the cable when filled with thermal conductive materials in different proportions, obtains the current-carrying values ​​corresponding to different filling proportions, and then calculates the total life cycle cost of the thermal conductive materials with different filling proportions, and calculates the total economic benefits after filling the thermal conductive materials through the current-carrying values ​​corresponding to the different filling proportions, and further calculates the net profit of each filling proportion through the total economic benefits and the total cost, and determines the filling proportion with the largest net profit as the target filling proportion of the cable trench, so that the cable trench is filled with thermal conductive materials according to the target filling proportion, and there is no need to determine the filling proportion through manual experimental measurement, which saves a lot of manpower and material resources, and considers the total cost and economic benefits of different filling proportions to determine the final target filling proportion, which takes into account both performance and economic cost, and can obtain the best performance and economic benefits by filling the thermal conductive material with the target filling proportion.

[0081] Embodiment 2

[0082] Figure 2 This is a flow chart of a method for determining the filling ratio of a cable high thermal conductivity material provided in the second embodiment of the present invention. The embodiment of the present invention is optimized on the basis of the above-mentioned first embodiment, such as Figure 2 As shown, the method for determining the filling ratio of the high thermal conductivity material of the cable includes:

[0083] S201. Construct a simulation geometric model of the cable trench in a multi-physics modeling application according to geometric dimensions of the cable trench and stacking arrangement data of cables in the cable trench.

[0084] The multi-physics modeling application of this embodiment can be COMSOL Multiphysics. COMSOL Multiphysics is a multi-physics simulation software based on the finite element method, which is widely used in scientific research and engineering calculations. It simulates real physical phenomena by solving partial differential equations (single field) or groups of partial differential equations (multi-field coupling). It can simulate a single physical field and flexibly couple multiple physical fields. It provides a wealth of additional modules in the application, including professional analysis function modules in the fields of electromagnetism, structural mechanics, acoustics, fluid flow, heat transfer and chemical engineering.

[0085] Specifically, in the modeling module of the application, a simulation geometric model of the cable trench can be constructed based on data such as the length, width, height of the cable trench, the thickness of the cable trench wall, and the position of the cables in the cable trench. Figure 3 Shown is a schematic diagram of the simulation geometric model of the cable trench, which has a width of W, a height of H, a length of L, a distance between the cable and the bottom wall of D1, a distance from the left wall of D2, and a top wall flush with the ground.

[0086] In another embodiment, the constructed simulation geometry model may also be imported into the modeling module of the application, for example, the simulation geometry model may be generated after the CAD drawing of the cable trench is imported into the modeling module.

[0087] S202, initializing the cable material properties, cable trench wall material properties, soil position, thermal conductive material properties and thermal conductivity of the air domain in the simulation geometric model.

[0088] Specifically, you can select the physical fields needed for simulation in the application, such as electric field, temperature field, magnetic field and other physical fields, and then initialize the corresponding simulation parameters. For example, you can select or directly set the material of the cable in the cable trench in the material library of the application, such as the metal material of the cable core, the material of the insulating sheath, the material composition of the cable trench wall, and the orientation of the soil relative to the cable trench. Figure 3 In the test, the soil is located on the left and right sides and below the cable trench, and the material, thermal conductivity and other properties of the thermally conductive material filled, as well as the thermal conductivity of the air, etc.

[0089] S203: Setting simulation boundary conditions.

[0090] In this embodiment, the simulation boundary condition may refer to the heat dissipation boundary of the space around the cable trench, that is, the boundary of the soil or air around the cable trench. In one embodiment, historical monitoring data of the soil around the cable trench may be obtained. The historical monitoring data may be soil temperature monitoring data. Based on the historical monitoring data, the temperature of the soil within a preset range at the bottom of the cable trench is set, the temperature of the soil within a preset range on the left and right side walls of the cable trench is set, and the temperature of the soil on the top wall of the cable trench and the convection heat dissipation coefficient of the air are set.

[0091] For example, Figure 3 As shown, the temperature of the soil within 3000mm at the bottom of the cable trench (the first boundary), the temperature of the soil within 3000mm on the left and right sides of the cable trench (the second boundary), and the convection heat dissipation coefficient of the air on the top wall of the cable trench (the third boundary) can be set.

[0092] By constructing a simulation geometric model and setting corresponding parameters and simulation boundaries, the simulation geometric model of the cable trench can be obtained.

[0093] S204. Perform simulation based on the simulation model of the cable trench in a multi-physics modeling application to obtain current carrying values ​​I corresponding to different filling ratios α when the filling ratio α ranges from 0% to 100%.

[0094] Specifically, in this embodiment, a growth step size of the filling ratio is set, for example, it can be 0.5%, 1%, etc. After the simulation starts, the filling ratio α increases from 0% to 100% according to the set step size, and the current carrying value I corresponding to each filling ratio α is obtained. The current carrying value I is the maximum current value that can flow through the cable in the cable trench.

[0095] S205. Calculate the initial construction cost based on each filling ratio and the geometric dimensions of the cable trench.

[0096] Specifically, the initial construction cost can be calculated by the following formula:

[0097]

[0098] Among them, x is the length of the cable trench, y is the width of the cable trench, h is the height of the cable trench, z is the unit volume cost of the thermal conductive material, and α is the filling ratio, wherein α can be the ratio of the filling height of the thermal conductive material in the cable trench to the height h of the cable trench.

[0099] S206. Calculate the cost of refilling the thermal conductive material at the end of its life cycle.

[0100] Specifically, the cost of life cycle refilling can be calculated by the following formula:

[0101]

[0102] represents the cost of refilling thermal conductive material, represents the cost of the kth refill in the life cycle The discounted value of , i is the discount rate;

[0103] S207. Calculate the operating cost of the cable trench.

[0104] Specifically, the operating cost can be calculated by the following formula:

[0105]

[0106] represents the operating expenses incurred in year n, represents the discounted value of the operating cost for n years, i represents the discount rate, and the operating cost It may include line management costs, thermal conductive material performance monitoring costs, and human and material costs caused by the reduction in thermal conductive material performance due to the evaporation of water.

[0107] S208. Calculate the sum of the initial construction cost, the cost of refilling during the life cycle, and the operating cost to obtain the total life cycle cost of the thermal conductive material.

[0108] Specifically,

[0109] S209. Calculate the first economic benefit P of reducing power outage losses l and the second economic benefit L.

[0110] Among them, the first economic benefit P l The benefit of reducing the amount of electricity after a power outage event. The second economic benefit L can be the power outage maintenance benefit and economic profit saved by reducing the power outage event. The specific calculation formula is as follows:

[0111] P l =A(1-e -t / τ );

[0112] L = LOLF × P2 + EENS × P3;

[0113] t is the duration of the power outage, A is the power outage cost per unit of electricity, τ is the loss time constant, LOLF×P2 is the fault repair cost, LOLF is the power shortage frequency, P2 is the average cost of fault patrol and repair, EENS×P3 is the profit loss caused by the power outage, EENS is the expected value of power shortage, and P3 is the profit loss per unit of power outage, which depends on the price difference between the purchase and sale of electricity per unit of electricity and the compensation electricity fee for users. It should be noted that the power outage duration t, the power outage cost per unit of electricity A, the power shortage frequency LOLF, the average cost of fault patrol and repair P2, the expected value of power shortage EENS, and the profit loss per unit of power outage P3 can all be determined by statistics of the historical data of the downstream line of the cable in the cable trench.

[0114] S210, calculating the third economic benefit of the current carrying value corresponding to each filling ratio.

[0115] After filling the thermal conductive material, the current carrying value of the cable is increased, which can transmit more electrical energy and generate corresponding economic benefits. Specifically, the third economic benefit K can be calculated by the following formula:

[0116] K = 0.8U × I × 365 × 12 × L;

[0117] L is the service life, U and I are the rated voltage and current (current carrying value) respectively.

[0118] S211 , calculating the sum of the first economic benefit, the second economic benefit, and the third economic benefit to obtain the total economic benefit of each filling ratio.

[0119] Total economic benefit for each filling ratio = K + L + P l .

[0120] S212. Calculate the difference between the economic benefit of each filling ratio and the total life cycle cost to obtain the net profit of each filling ratio.

[0121] Specifically, the net profit W for each filling ratio α is as follows:

[0122]

[0123] S213. Determine the filling ratio with the maximum net profit as the target filling ratio of the cable trench.

[0124] For each filling ratio within the range of 0-100%, they can be sorted from high to low according to the net profit, and the filling ratio ranked first is determined as the target filling ratio of the cable trench.

[0125] The embodiment of the present invention constructs a simulation model of the cable trench to simulate the current-carrying conditions of the cable when filled with thermal conductive materials in different proportions, obtains the current-carrying values ​​corresponding to different filling proportions, and then calculates the sum of the initial construction cost, refilling cost and operating cost of the thermal conductive materials with different filling proportions to obtain the total life cycle cost, and calculates the sum of the first economic benefit of reducing power outage losses, the second economic benefit, and the third economic benefit of improving the current-carrying value to obtain the total economic benefit, and further calculates the net profit of each filling proportion through the total economic benefit and the total cost, and determines the filling proportion with the largest net profit as the target filling proportion of the cable trench, so that the cable trench is filled with thermal conductive materials according to the target filling proportion, and there is no need to determine the filling proportion through manual experimental measurement, which saves a lot of manpower and material resources, and considers the total cost and economic benefit of different filling proportions to determine the final target filling proportion, which takes into account both performance and economic cost, and fills the thermal conductive material with the target filling proportion to obtain the best performance and economic benefit.

[0126] Embodiment 3

[0127] Figure 4 This is a schematic diagram of a device for determining the filling ratio of a cable high thermal conductivity material provided in the third embodiment of the present invention. Figure 4 As shown, the device for determining the filling ratio of the cable high thermal conductivity material comprises:

[0128] A simulation module 401 is used to construct a simulation model of a cable trench, and to determine the current carrying values ​​of the cables in the cable trench when they are filled with heat conductive materials at different proportions through the simulation model;

[0129] A cost calculation module 402, for calculating the total life cycle cost of the thermal conductive material for each filling ratio;

[0130] An economic benefit calculation module 403, used to calculate the total economic benefit after filling the thermal conductive material based on the current carrying value corresponding to each filling ratio;

[0131] A profit calculation module 404, used to calculate the net profit of each filling ratio by using the total economic benefit and the total life cycle cost;

[0132] The target filling ratio determination module 405 is used to determine the filling ratio with the maximum net profit as the target filling ratio of the cable trench.

[0133] Optionally, the simulation module 401 includes:

[0134] A simulation geometry model building unit, used for building a simulation geometry model of the cable trench according to the geometry size of the cable trench and the stacking arrangement data of the cables in the cable trench in a multi-physics field modeling application;

[0135] A parameter initialization unit, used to initialize the cable material properties, cable trench wall material properties, soil position, thermal conductive material properties and thermal conductivity of the air domain in the simulation geometric model;

[0136] A simulation boundary setting unit, used for setting simulation boundary conditions;

[0137] The simulation unit is used to perform simulation based on the simulation model of the cable trench in the multi-physics field modeling application to obtain the current carrying value I corresponding to different filling ratios α when the filling ratio α ranges from 0% to 100%.

[0138] Optionally, the simulation boundary setting unit includes:

[0139] A historical monitoring data acquisition unit, used to acquire historical monitoring data of the soil around the cable trench;

[0140] A bottom boundary setting unit, used to set the temperature of the soil within a preset range at the bottom of the cable trench based on the historical monitoring data;

[0141] Left and right boundary setting units, used to set the temperature of the soil within a preset range on the left and right side walls of the cable trench;

[0142] The top boundary setting unit is used to set the temperature of the soil on the top wall of the cable trench and the convection heat dissipation coefficient of the air.

[0143] Optionally, the cost calculation module 402 includes:

[0144] A construction cost calculation unit for calculating the initial construction cost according to each filling ratio and the geometric dimensions of the cable trench The specific calculation method is as follows:

[0145]

[0146] Where x is the length of the cable trench, y is the width of the cable trench, h is the height of the cable trench, z is the unit volume cost of the thermal conductive material, and α is the filling ratio;

[0147] Refill cost calculation unit, used to calculate the cost of refilling the thermal conductive material during its life cycle The specific calculation method is as follows:

[0148]

[0149] represents the cost of refilling thermal conductive material, represents the cost of the kth refill in the l-year life cycle The discounted value of , i is the discount rate;

[0150] An operating cost calculation unit for calculating the operating cost of the cable trench The specific calculation method is as follows:

[0151]

[0152] represents the operating expenses incurred in year n, represents the discounted value of the operating cost for n years, i represents the discount rate;

[0153] Total cost calculation unit, used to calculate the initial construction cost Lifecycle refill costs and operating costs The sum of the values ​​gives the total life cycle cost of the thermal conductive material.

[0154] Optionally, the economic benefit calculation module 403 includes:

[0155] The first economic benefit calculation unit is used to calculate the first economic benefit P of reducing power outage losses l , the specific calculation method is as follows:

[0156] P l =A(1-e -t / τ );

[0157] t is the duration of the power outage, A is the power outage cost per unit of electricity, and τ is the loss time constant;

[0158] The second economic benefit calculation unit is used to calculate the second economic benefit L of reducing power outage losses. The specific calculation method is as follows:

[0159] L = LOLF × P2 + EENS × P3;

[0160] LOLF×P2 is the fault repair cost, LOLF is the power shortage frequency, P2 is the average cost of fault inspection and repair, EENS×P3 is the profit loss caused by power outage, EENS is the expected value of power shortage, P3 is the profit loss per unit of power outage, which depends on the price difference between the unit power purchase and sale and the compensation fee for users;

[0161] The third economic benefit calculation unit is used to calculate the third economic benefit K of the current carrying value corresponding to each filling ratio. The specific calculation method is as follows:

[0162] K = 0.8U × I × 365 × 12 × L;

[0163] L is the operating life; U and I are the rated voltage and current respectively;

[0164] Total income calculation unit, used to calculate the first economic income P l The sum of the second economic benefit L and the third economic benefit K is the total economic benefit for each filling ratio.

[0165] Optionally, the profit calculation module 404 includes:

[0166] The net profit calculation unit is used to calculate the difference between the economic benefit of each filling ratio and the total life cycle cost to obtain the net profit of each filling ratio.

[0167] The device for determining the filling ratio of a cable high thermal conductivity material provided in an embodiment of the present invention can execute the method for determining the filling ratio of a cable high thermal conductivity material provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0168] Embodiment 4

[0169] Figure 5 A schematic diagram of the structure of an electronic device 40 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0170] like Figure 5As shown, the electronic device 40 includes at least one processor 41, and a memory connected to the at least one processor 41, such as a read-only memory (ROM) 42, a random access memory (RAM) 43, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 41 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 42 or the computer program loaded from the storage unit 48 to the random access memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 can also be stored. The processor 41, the ROM 42, and the RAM 43 are connected to each other through a bus 44. An input / output (I / O) interface 45 is also connected to the bus 44.

[0171] A number of components in the electronic device 40 are connected to the I / O interface 45, including: an input unit 46, such as a keyboard, a mouse, etc.; an output unit 47, such as various types of displays, speakers, etc.; a storage unit 48, such as a disk, an optical disk, etc.; and a communication unit 49, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0172] The processor 41 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 41 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 41 executes the various methods and processes described above, such as a method for determining a filling ratio of a cable high thermal conductivity material.

[0173] In some embodiments, the method for determining the filling ratio of the high thermal conductivity material of the cable can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 48. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 40 via the ROM 42 and / or the communication unit 49. When the computer program is loaded into the RAM 43 and executed by the processor 41, one or more steps of the method for determining the filling ratio of the high thermal conductivity material of the cable described above can be executed. Alternatively, in other embodiments, the processor 41 can be configured to execute the method for determining the filling ratio of the high thermal conductivity material of the cable by any other appropriate means (for example, by means of firmware).

[0174] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0175] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0176] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0177] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0178] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0179] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0180] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0181] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for determining the filling ratio of a cable high thermal conductivity material, characterized in that: include: Constructing a simulation model of a cable trench, and determining the current carrying value of the cables in the cable trench when they are filled with heat conductive materials at different proportions through the simulation model; calculating the total life cycle cost of the thermally conductive material for each filling ratio; Calculating the total economic benefit after filling the thermally conductive material based on the current carrying value corresponding to each filling ratio; Calculate the net profit of each filling ratio by using the total economic benefit and the total life cycle cost; The filling ratio with the maximum net profit is determined as the target filling ratio of the cable trench.

2. The method for determining the filling ratio of the cable high thermal conductivity material according to claim 1, characterized in that: Constructing a simulation model of a cable trench, and determining the current carrying value of the cables in the cable trench when the cables are filled with heat conductive materials at different proportions by the simulation model, including: Constructing a simulation geometric model of the cable trench in a multi-physics modeling application according to geometric dimensions of the cable trench and stacking arrangement data of cables in the cable trench; Initializing cable material properties, cable trench wall material properties, soil position, thermal conductive material properties, and thermal conductivity of the air domain in the simulation geometric model; Set simulation boundary conditions; In the multi-physics modeling application, simulation is performed based on the simulation model of the cable trench to obtain current carrying values ​​I corresponding to different filling ratios α when the filling ratio α ranges from 0% to 100%.

3. The method for determining the filling ratio of the cable high thermal conductivity material according to claim 2, characterized in that: Set simulation boundary conditions, including: Obtaining historical monitoring data of soil around the cable trench; Setting the temperature of the soil within a preset range at the bottom of the cable trench based on the historical monitoring data; Setting the temperature of the soil within a preset range on the left and right side walls of the cable trench; Set the soil temperature of the top wall of the cable trench and the convection heat dissipation coefficient of the air.

4. The method for determining the filling ratio of the cable high thermal conductivity material according to claim 1, characterized in that: The total life cycle cost of the thermally conductive material was calculated for each fill ratio, including: Calculate the initial construction cost based on each filling ratio and the geometric dimensions of the cable trench The specific calculation method is as follows: Where x is the length of the cable trench, y is the width of the cable trench, h is the height of the cable trench, z is the unit volume cost of the thermal conductive material, and α is the filling ratio; Calculate the cost of refilling the thermally conductive material over its lifetime The specific calculation method is as follows: represents the cost of refilling thermal conductive material, represents the cost of the kth refill in the life cycle The discounted value of , i is the discount rate; Calculate the operating costs of the cable trench The specific calculation method is as follows: represents the operating expenses incurred in year n, represents the discounted value of the operating cost for n years, i represents the discount rate; Calculate the initial construction cost Lifecycle refill costs and operating costs The sum of the values ​​gives the total life cycle cost of the thermal conductive material.

5. The method for determining the filling ratio of the cable high thermal conductivity material according to claim 1, characterized in that: The total economic benefit after filling the thermal conductive material is calculated based on the current carrying value corresponding to each filling ratio, including: Calculate the first economic benefit P of reducing power outage losses l , the specific calculation method is as follows: P l =A(1-e -t / τ ); t is the duration of the power outage, A is the power outage cost per unit of electricity, and τ is the loss time constant; Calculate the second economic benefit L of reducing power outage losses. The specific calculation method is as follows: L = LOLF × P2 + EENS × P3; LOLF×P2 is the fault repair cost, LOLF is the power shortage frequency, P2 is the average cost of fault inspection and repair, EENS×P3 is the profit loss caused by power outage, EENS is the expected value of power shortage, P3 is the profit loss per unit of power outage, which depends on the price difference between the unit power purchase and sale and the compensation fee for users; Calculate the third economic benefit K of the current value corresponding to each filling ratio. The specific calculation method is as follows: K = 0.8U × I × 365 × 12 × L; L is the operating life, U and I are the rated voltage and current respectively; Calculate the first economic benefit P l The sum of the second economic benefit L and the third economic benefit K is the total economic benefit for each filling ratio.

6. The method for determining the filling ratio of a cable high thermal conductivity material according to any one of claims 1 to 5, characterized in that: The net profit for each fill ratio is calculated using the total economic benefit and the total life cycle cost, including: The difference between the economic benefit of each filling ratio and the total life cycle cost is calculated to obtain the net profit of each filling ratio.

7. A device for determining the filling ratio of a cable high thermal conductivity material, characterized in that: include: A simulation module, used to construct a simulation model of a cable trench, and to determine the current carrying value of the cables in the cable trench when they are filled with heat conductive materials at different proportions through the simulation model; A cost calculation module, for calculating the total life cycle cost of the thermal conductive material for each filling ratio; An economic benefit calculation module, used to calculate the total economic benefit after filling the thermal conductive material based on the current carrying value corresponding to each filling ratio; A profit calculation module, used for calculating the net profit of each filling ratio by using the total economic benefit and the total life cycle cost; The target filling ratio determination module is used to determine the filling ratio with the maximum net profit as the target filling ratio of the cable trench.

8. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for determining the filling ratio of the high thermal conductivity material of the cable according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for determining the filling ratio of a cable high thermal conductivity material according to any one of claims 1 to 6 when executed.

10. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the method for determining the filling ratio of the cable high thermal conductivity material according to any one of claims 1 to 6.

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