A method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system

Abstract

This invention relates to the field of current-carrying capacity measurement technology, specifically to a method for determining the current-carrying capacity of a three-phase coaxial high-temperature superconducting cable system. The method includes: acquiring the current value and the number of quench nodes for each phase of the three-phase coaxial high-temperature superconducting cable at each sampling moment within a historical time period using current sensors and a temperature propagation formula; determining the target correction availability for each phase at each sampling moment; determining the corrected current data and target matching for each phase at the current moment; determining the corrected number of quench nodes for each phase at the current moment based on the target matching and the number of quench nodes for each phase at the current moment; and determining the current-carrying capacity based on all corrected quench node numbers. This invention corrects the number of quench nodes determined by the temperature propagation formula, thereby improving the accuracy of the final determination of the number of quench nodes and thus improving the accuracy of the current-carrying capacity determination.

Description

Technical Field

[0001] This invention relates to the field of current carrying capacity measurement technology, and specifically to a method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system. Background Technology

[0002] A triaxial high-temperature superconducting cable is a type of cable made of superconducting materials and featuring a coaxial structure design with different inner and outer shielding layers. Its main characteristic is its ability to achieve superconductivity at low temperatures, thereby reducing power transmission losses and increasing the cable's current-carrying capacity. If the cooling layer fails, the superconducting material may transform into a conventional conductor, leading to increased cable resistance and even overheating. Therefore, determining the cable's current-carrying capacity after cooling layer failure is crucial for ensuring normal operation, safety, and preventing overload damage. Determining the current-carrying capacity after cooling layer failure often requires calculating the number of superconducting nodes. Currently, the number of superconducting nodes is often determined using temperature propagation formulas.

[0003] However, when determining the number of quench nodes in a three-coaxial high-temperature superconducting cable using the temperature propagation formula, the following technical problems often arise:

[0004] In reality, whether a node fails to quench is not solely related to temperature. Therefore, determining the number of quenchable nodes in a three-coaxial high-temperature superconducting cable using only the temperature propagation formula may result in poor accuracy in determining the number of quenchable nodes due to the limited number of factors considered, which in turn leads to poor accuracy in determining the current carrying capacity. Summary of the Invention

[0005] To address the technical problem of poor accuracy in determining current carrying capacity due to the poor accuracy in determining the number of quench nodes, this invention proposes a method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system.

[0006] In a first aspect, the present invention provides a method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system, the method comprising:

[0007] Using current sensors and temperature propagation formulas, the current value and number of quench failure nodes of each phase of a three-phase coaxial high-temperature superconducting cable are obtained at each sampling moment within a historical time period. The end time of the historical time period is the current time.

[0008] Based on the distribution of current value and number of out-of-go nodes of each phase at each sampling time and the previous sampling time, determine the target correction availability of each phase at each sampling time;

[0009] Based on the target correction availability and current value of each phase at all sampling times and under each phase, determine the corrected current data of each phase at the current time;

[0010] The target matching of each phase at the current moment is determined based on the matching between the corrected current data of each phase at the current moment and the number of quench nodes.

[0011] Based on the target matching and number of out-of-go nodes of each phase at the current moment, determine the corrected out-of-go node number of each phase at the current moment, and determine the carrying capacity based on all corrected out-of-go node numbers.

[0012] In conjunction with the first aspect above, in one possible implementation, determining the target correction availability of each phase at each sampling time based on the distribution of the current value and the number of out-of-go nodes at each sampling time and the previous sampling time for each phase includes:

[0013] The initial correction availability of each phase at each sampling time is determined based on the inverse relationship between the current value of each phase at each sampling time and the number of out-of-go nodes.

[0014] Based on the initial correction availability of each phase at each sampling time, and the distribution of current value and number of out-of-go nodes of each phase at each sampling time and the previous sampling time, the target correction availability of each phase at each sampling time is determined.

[0015] In conjunction with the first aspect above, in one possible implementation, determining the initial correction availability of each phase at each sampling time based on the inverse proportional relationship between the current value of each phase at each sampling time and the number of out-of-go nodes includes:

[0016] The sum of the normalized value of the current value of each phase at each sampling time and the normalized value of the number of out-of-quench nodes is determined as the current quantity index of each phase at each sampling time.

[0017] The absolute value of the difference between the current quantity index of each phase at each sampling time and the constant 1 is determined as the target difference of each phase at each sampling time.

[0018] The initial correction availability of each phase at each sampling time is determined based on the target difference of each phase at each sampling time.

[0019] In conjunction with the first aspect above, in one possible implementation, determining the target correction availability of each phase at each sampling time based on the initial correction availability of each phase at each sampling time, and the distribution of the current value and the number of out-of-go nodes of each phase at each sampling time and the previous sampling time, includes:

[0020] Based on the difference between the number of out-of-go nodes of each phase at each sampling time and the number of out-of-go nodes at the previous sampling time, and the difference between the current value of each phase at the previous sampling time and the current value at the current time, the variation index of each phase at each sampling time is determined.

[0021] Based on the variation pattern index of each phase at each sampling time and the initial correction availability, the target correction availability of each phase at each sampling time is determined.

[0022] In conjunction with the first aspect above, in one possible implementation, determining the variation index of each phase at each sampling time based on the difference between the number of out-of-go nodes of each phase at each sampling time and the number of out-of-go nodes at the previous sampling time, and the difference between the current value of each phase at each sampling time and the current value at the previous sampling time, includes:

[0023] The difference between the number of outgoing nodes in each phase at each sampling time and the number of outgoing nodes at the previous sampling time is normalized to obtain the quantity difference factor of each phase at each sampling time.

[0024] The difference between the current value of each phase at the previous sampling time and the current value at the current time below each sampling time is normalized to obtain the current difference factor of each phase at each sampling time.

[0025] The sum of the quantity difference factor and the current difference factor of each phase at each sampling time is determined as the index of the change law of each phase at each sampling time.

[0026] In conjunction with the first aspect above, in one possible implementation, determining the target correction availability of each phase at each sampling time based on the variation law index of each phase at each sampling time and the initial correction availability includes:

[0027] The product of the variation pattern index of each phase at each sampling time and the initial correction availability is determined as the target correction availability of each phase at each sampling time.

[0028] In conjunction with the first aspect above, in one possible implementation, determining the corrected current data for each phase at the current moment based on the target corrected availability and current value of each phase at all sampling times includes:

[0029] The target weight of each phase at each sampling time is determined based on the target correction availability of each phase at each sampling time and the duration between each sampling time and the current time.

[0030] Based on the target weight and current value of each phase at all sampling times within the historical time period, the corrected current data for each phase at the current time is determined.

[0031] In conjunction with the first aspect above, in one possible implementation, determining the corrected current data for each phase at the current moment based on the target weight and current value of each phase at all sampling times within the historical time period includes:

[0032] The product of the target weight and the current value of each phase at each sampling time is determined as the current local current factor of each phase at each sampling time.

[0033] The cumulative value of the current local current factor of each phase at all sampling times within the historical time period is determined as the corrected current data of each phase at the current time.

[0034] In conjunction with the first aspect above, in one possible implementation, determining the target matching degree of each phase at the current moment based on the matching between the corrected current data of each phase at the current moment and the number of queuing nodes includes:

[0035] The sum of the corrected current data of the three phases of the three-phase coaxial high-temperature superconducting cable at the current moment is determined as the overall current index at the current moment.

[0036] The proportion of each corresponding corrected current data in the overall current index is determined as each corresponding relative current factor.

[0037] The sum of the number of quench failure nodes of the three phases of the three-phase coaxial high-temperature superconducting cable at the current moment is determined as the overall quench failure number index at the current moment.

[0038] The proportion of the number of outgoing nodes of each phase at the current moment in the overall outgoing quantity index is determined as the relative outgoing quantity factor of each phase.

[0039] The target matching of each phase at the current moment is determined based on the corresponding relative current factor and relative quench quantity factor.

[0040] In conjunction with the first aspect above, in one possible implementation, determining the target matching of each phase at the current moment based on each corresponding relative current factor and relative quench quantity factor includes:

[0041] The difference between constant 1 and each corresponding relative current factor is determined as each corresponding current characteristic factor;

[0042] The target matching of each phase at the current moment is determined based on the absolute value of the difference between each corresponding current characteristic factor and the relative quench quantity factor.

[0043] In conjunction with the first aspect above, in one possible implementation, determining the corrected number of out-of-go nodes for each phase at the current moment based on the target matching and the number of out-of-go nodes for each phase at the current moment includes:

[0044] Based on the target matching of different phases of the three-phase coaxial high-temperature superconducting cable at the current moment, determine the target retention weight of each phase at the current moment;

[0045] The corrected number of outgoing nodes for each phase at the current time is determined by multiplying the target retention weight of each phase at the current time by the number of outgoing nodes.

[0046] In conjunction with the first aspect above, in one possible implementation, determining the target retention weight of each phase at the current moment based on the target matching of different phases of the three coaxial high-temperature superconducting cables at the current moment includes:

[0047] The target matching of phase A of the three-phase coaxial high-temperature superconducting cable at the current moment is normalized to obtain the target retention weight of phase A of the three-phase coaxial high-temperature superconducting cable at the current moment.

[0048] The product of the target matching properties of phase A and phase B of the three-phase coaxial high-temperature superconducting cable at the current moment is normalized to obtain the target retention weight of phase B of the three-phase coaxial high-temperature superconducting cable at the current moment.

[0049] The cumulative product of the target matching of phases A, B, and C of the three-phase coaxial high-temperature superconducting cable at the current moment is normalized to obtain the target retention weight of phase C of the three-phase coaxial high-temperature superconducting cable at the current moment.

[0050] Secondly, the present invention provides a current-carrying capacity determination system for a three-coaxial high-temperature superconducting cable system, the system comprising:

[0051] The data acquisition module is used to acquire the current value and the number of quench nodes of each phase of the three coaxial high-temperature superconducting cables at each sampling time within a historical time period, using current sensors and temperature propagation formulas.

[0052] The target correction availability determination module is used to determine the target correction availability of each phase at each sampling time based on the distribution of the current value and the number of out-of-go nodes at each sampling time and the previous sampling time for each phase.

[0053] The corrected current data determination module is used to determine the corrected current data of each phase at the current moment based on the target corrected availability and current value of each phase at all sampling times and under each phase.

[0054] The target matching determination module is used to determine the target matching of each phase at the current moment based on the matching between the corrected current data of each phase and the number of out-of-go nodes at the current moment.

[0055] The correction and load capacity determination module is used to determine the number of corrected out-of-bounds nodes for each phase at the current time based on the target matching and the number of out-of-bounds nodes for each phase at the current time, and to determine the load capacity based on the total number of corrected out-of-bounds nodes.

[0056] Thirdly, a server is provided, including a memory and a processor. The memory is used to store executable program code, and the processor is used to call and run the executable program code from the memory, causing the device to perform the methods of the first aspect or any possible implementation thereof.

[0057] Fourthly, a computer program product is provided, comprising: computer program code, which, when run on a computer, causes the computer to perform the methods described in the first aspect or any possible implementation thereof.

[0058] Fifthly, a computer-readable storage medium is provided that stores computer program code, which, when executed on a computer, causes the computer to perform the methods described in the first aspect or any possible implementation thereof.

[0059] The present invention has the following beneficial effects:

[0060] This invention provides a method for determining the current-carrying capacity of a three-coaxial high-temperature superconducting cable system. It corrects the number of quench nodes determined by the temperature propagation formula, solving the technical problem of poor current-carrying capacity determination caused by the poor accuracy of determining the number of quench nodes. This improves the accuracy of the final determination of the number of quench nodes, and consequently, the accuracy of the current-carrying capacity determination. Specifically, this invention analyzes the distribution of current values ​​and the number of quench nodes for each phase at each sampling time and the previous sampling time, quantifying the target correction availability for each phase at each sampling time. This quantifies the corrected current data for each phase at the current time. Furthermore, by analyzing the matching between the corrected current data and the number of quench nodes for each phase at the current time, the target matching for each phase at the current time is quantified. This corrects the number of quench nodes determined by the temperature propagation formula, improving the accuracy of the final determination of the number of quench nodes. Finally, the current-carrying capacity is determined based on all corrected quench node numbers, further improving the accuracy of the current-carrying capacity determination. Attached Figure Description

[0061] To more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0062] Figure 1 This is a flowchart of a method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to the present invention;

[0063] Figure 2 This is a schematic diagram of the composition structure of a current-carrying capacity determination system for a three-coaxial high-temperature superconducting cable system according to the present invention.

[0064] Figure 3 This is a schematic diagram of the structure of a computer device according to the present invention. Detailed Implementation

[0065] To further illustrate the technical means and effects adopted by the present invention to achieve its intended purpose, the specific implementation methods, structures, features, and effects of the technical solution proposed according to the present invention are described in detail below with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, specific features, structures, or characteristics in one or more embodiments can be combined in any suitable form.

[0066] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0067] refer to Figure 1 This document illustrates the flowchart of some embodiments of a method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to the present invention. The method for determining the current carrying capacity of this three-coaxial high-temperature superconducting cable system includes the following steps:

[0068] Step S1: Using current sensors and temperature propagation formulas, obtain the current value and number of quench failure nodes for each phase of the three coaxial high-temperature superconducting cables at each sampling time within the historical time period.

[0069] Among them, the three-phase coaxial high-temperature superconducting cable is a type of cable made of superconducting materials, employing a coaxial structure design with different shielding layers inside and out. Its main characteristic is that it can achieve a superconducting state at low temperatures, thereby reducing power transmission losses and increasing the cable's current-carrying capacity. The body of the three-phase coaxial high-temperature superconducting cable can include: a cooling layer, three-phase current-carrying layers, a copper skeleton, insulating paper, and a vacuum layer. Furthermore, the three-phase coaxial high-temperature superconducting cable typically includes three phases, which can be phase A, phase B, and phase C. In the three-phase coaxial high-temperature superconducting (HTS) cable, the arrangement of phases A, B, and C follows the standard phase sequence of a three-phase alternating current system. The innermost layer is usually phase A, the middle layer is usually phase B, and the outermost layer is usually phase C. The end time of the historical time period can be the current time. The duration of the historical time period can be a preset duration, such as half an hour. The sampling time can be the time when the current value and the number of quench nodes are collected.

[0070] As an example, this step may include the following steps:

[0071] The first step is to use current sensors to collect the current value of each phase of the three coaxial high-temperature superconducting cables at each sampling time within a historical period.

[0072] The second step is to obtain the number of out-of-quench nodes for each phase of the three-phase coaxial high-temperature superconducting cable at each sampling time within a historical time period using the temperature propagation formula.

[0073] Step S2: Determine the target correction availability of each phase at each sampling time based on the distribution of the current value and the number of out-of-go nodes at each sampling time and the previous sampling time for each phase.

[0074] As an example, this step may include the following steps:

[0075] The first step, determining the initial correction availability for each phase at each sampling time based on the inverse relationship between the current value of each phase at each sampling time and the number of out-of-go nodes, may include the following sub-steps:

[0076] The first sub-step is to determine the sum of the normalized value of the current value of each phase at each sampling time and the normalized value of the number of out-of-go nodes as the current quantity index of each phase at each sampling time.

[0077] The second sub-step is to determine the absolute value of the difference between the current quantity index of each phase at each sampling time and the constant 1 as the target difference of each phase at each sampling time.

[0078] The third sub-step is to determine the initial correction availability of each phase at each sampling time based on the target difference of each phase at each sampling time.

[0079] For example, the formula for determining the initial correction availability of different phases at different sampling times can be:

[0080] ;

[0081] in, It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t Initial correction availability at each sampling time. i It is the phase number of a three-phase coaxial high-temperature superconducting cable. t It is the sequence number of the sampling time within the historical time period. It is an exponential function with the natural constant as its base. It is an absolute value function. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The normalized value of the current at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The normalized value of the number of outgoing nodes at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t Current quantity index at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The target difference at each sampling time.

[0082] It should be noted that in practice, when the cooling layer of a three-phase coaxial high-temperature superconducting cable fails, the cable temperature within each conductor layer (i.e., each phase) often gradually rises, frequently causing some superconducting materials to lose their superconductivity (i.e., the temperature exceeds the critical temperature). With cooling failure, more and more nodes lose superconductivity, resulting in a decrease in current transmission capacity. An increase in superconducting nodes often means that more areas cannot conduct current in a superconducting state, leading to increased resistance. When current flows through the superconducting regions, the cable's current transmission capacity decreases significantly. Due to the increased number of superconducting nodes, the current has to bypass these areas, making the overall current transmission path more difficult and reducing the current density. Therefore, the number of superconducting nodes is often inversely proportional to the current magnitude. When the value is close to 1, it often indicates that the calculated number of quenching nodes is more likely to be inversely proportional to the magnitude of the current. Therefore, when The larger the value, the more likely the calculated number of out-of-go nodes is inversely proportional to the current magnitude, and the more accurate the calculated number of out-of-go nodes and current magnitude are.

[0083] The second step, determining the target correction availability of each phase at each sampling time based on the initial correction availability of each phase at each sampling time, and the distribution of the current value and the number of out-of-go nodes of each phase at each sampling time and the previous sampling time, may include the following sub-steps:

[0084] The first sub-step, based on the difference between the number of out-of-go nodes for each phase at each sampling time and the number of out-of-go nodes at the previous sampling time, and the difference between the current value of each phase at each sampling time and the current value at the current time below, determines the variation index of each phase at each sampling time, which may include the following steps:

[0085] First, the difference between the number of outgoing nodes in each phase at each sampling time and the number of outgoing nodes at the previous sampling time is normalized to obtain the quantity difference factor of each phase at each sampling time.

[0086] Next, the difference between the current value of each phase at the previous sampling time and the current value at the current time below each sampling time is normalized to obtain the current difference factor of each phase at each sampling time.

[0087] Finally, the sum of the quantity difference factor and the current difference factor of each phase at each sampling time is determined as the index of the change law of each phase at each sampling time.

[0088] The second sub-step involves determining the target correction availability of each phase at each sampling time based on the variation pattern index and initial correction availability of each phase at each sampling time.

[0089] For example, the product of the variation pattern index of each phase at each sampling time and the initial correction availability can be determined as the target correction availability of each phase at each sampling time.

[0090] For example, the formula for determining the target correction availability for different phases at different sampling times can be:

[0091] ;

[0092] ;

[0093] ;

[0094] in, It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t Target correction availability at each sampling time. i It is the phase number of a three-phase coaxial high-temperature superconducting cable. t It is the sequence number of the sampling time within the historical time period. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t Current difference factor at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The number of differences at each sampling time point. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t Initial correction availability at each sampling time. It is a normalization function. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The current value at -1 sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The current value at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The number of outgoing nodes at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t -1 number of nodes that fail to reach the target at sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t -1 sampling time period variation index.

[0095] It should be noted that in reality, based on the premise that the number of quench nodes and the magnitude of the current should be inversely proportional, as the cooling layer fails, the cable temperature gradually rises, causing the superconducting material to gradually lose its superconducting state, forming quench nodes. The increase in quench nodes means that current flow is more obstructed, preventing current from fully passing through these quench regions. Therefore, as the number of quench nodes increases compared to the previous moment, the total current flow gradually decreases. This decrease in current further slows down the temperature rise inside the cable, thereby suppressing more quench phenomena. Therefore, there is a consistent relationship between the increase in the number of quench nodes and the decrease in current. Therefore, when... A larger value often indicates that the number of queuing nodes is increasing compared to the previous time step, while the total current flow is gradually decreasing; this usually means that the calculated changes in current and the number of queuing nodes better match the actual changes. A larger value often indicates a more likely inverse relationship between the calculated number of out-of-flow nodes and the magnitude of the current, and thus suggests a more accurate calculation of the relationship between the calculated number of out-of-flow nodes and the magnitude of the current. Therefore, when A larger value often indicates that the calculated number of quench nodes and the magnitude of the current are more accurate.

[0096] Step S3: Determine the corrected current data for each phase at the current moment based on the target corrected availability and current value of each phase at all sampling times and under each phase.

[0097] As an example, this step may include the following steps:

[0098] The first step is to determine the target weight of each phase at each sampling time based on the target correction availability of each phase at each sampling time and the duration between each sampling time and the current time.

[0099] The second step, determining the corrected current data for each phase at the current moment based on the target weight and current value of each phase at all sampling times within the historical time period, may include the following sub-steps:

[0100] The first sub-step is to determine the product between the target weight and the current value of each phase at each sampling time as the current local current factor of each phase at each sampling time.

[0101] The second sub-step involves determining the accumulated value of the current local current factor for each phase at all sampling times within the historical time period as the corrected current data for each phase at the current time.

[0102] For example, the formula for determining the corrected current data for different phases at the current moment can be:

[0103] ;

[0104] ;

[0105] ;

[0106] in, It is the first high-temperature superconducting cable with a triaxial structure. i The corrected current data for each phase at the current moment. i It is the phase number of a three-phase coaxial high-temperature superconducting cable. n It represents the number of sampling moments within a historical time period. t It is the sequence number of the sampling time within the historical time period. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The target weight at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t Initial weights at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The cumulative value of the initial weights of each phase at all sampling times within the historical time period. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The current value at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t The current local current factor at each sampling time. It is the first high-temperature superconducting cable with a triaxial structure. i The first phase in the historical time period t Target correction availability at each sampling time. It is an exponential function with the natural constant as its base. It is the first in the historical period t The duration between each sampling time and the current time.

[0107] It should be noted that in practice, in high-temperature superconducting cables with a triaxial structure, the current current data is often inaccurate due to the complex influence of the cooling system and superconducting characteristics. When the cooling layer fails, the temperature of the superconducting cable gradually increases, leading to an increase in quench points and a gradual decrease in current carrying capacity. Historical current data can often reflect this quench propagation process and can therefore be used to correct the current current data. The changes that historical current data should maintain after cooling layer failure determine the usability of historical current data for correction. Based on this, current data closer to the current current data point more accurately reflects the current state of the system. More recent historical current data contains more details related to the current current state and should therefore be given greater weight for more accurate correction of the current current data. A larger value often indicates a more accurate calculation of the number of quenched nodes and the magnitude of the current, and therefore warrants greater weighting. The smaller the size, the more likely it is to indicate the first t The closer a sampling time is to the current time, the greater its weight should be. Therefore, The first characteristic that can characterize a high-temperature superconducting cable with a three-axis coaxial structure is... i The corrected current data for each phase at the current moment.

[0108] Step S4: Determine the target matching of each phase at the current moment based on the matching between the corrected current data of each phase and the number of out-of-go nodes at the current moment.

[0109] As an example, this step may include the following steps:

[0110] The first step is to determine the overall current index at the current moment by summing the corrected current data of the three phases of the three-phase coaxial high-temperature superconducting cable at the current moment.

[0111] The second step is to determine the proportion of each corresponding corrected current data in the overall current index as the corresponding relative current factor.

[0112] The third step is to determine the total number of quench points at the current moment by summing the number of quench points among the three phases of the three-phase coaxial high-temperature superconducting cable.

[0113] The fourth step is to determine the proportion of the number of outgoing nodes of each phase at the current moment in the overall outgoing quantity index mentioned above as the relative outgoing quantity factor of each phase.

[0114] The fifth step, determining the target matching of each phase at the current moment based on the corresponding relative current factor and relative quench quantity factor, may include the following sub-steps:

[0115] The first sub-step is to determine the difference between the constant 1 and each corresponding relative current factor as each corresponding current characteristic factor.

[0116] The second sub-step is to determine the target matching of each phase at the current moment based on the absolute value of the difference between each corresponding current characteristic factor and the relative quench quantity factor.

[0117] For example, the formula for determining the target matching degree of different phases at the current time can be:

[0118] ;

[0119] in, It is the first high-temperature superconducting cable with a triaxial structure. i The target matching degree of each phase at the current moment. i It is the phase number of a three-phase coaxial high-temperature superconducting cable. It is an exponential function with the natural constant as its base. It is an absolute value function. It is the first high-temperature superconducting cable with a triaxial structure. i The corrected current data for each phase at the current moment. XI It is the overall current index at the current moment, which is the cumulative value of the corrected current data of the three phases of the three-phase coaxial high-temperature superconducting cable at the current moment. It is the first high-temperature superconducting cable with a triaxial structure. i The number of outgoing nodes in each phase at the current moment. S It is the overall quench count index at the current moment, which is the cumulative value of the number of quench nodes of the three phases of the three-phase coaxial high-temperature superconducting cable at the current moment. It is the first high-temperature superconducting cable with a triaxial structure. i A corresponding relative current factor. It is the first high-temperature superconducting cable with a triaxial structure. i The relative outrun factor of each phase at the current moment. It is the first high-temperature superconducting cable with a triaxial structure. i Each has a corresponding current characteristic factor. It is the first high-temperature superconducting cable with a triaxial structure. i A corresponding relative quench quantity factor.

[0120] It should be noted that in three-phase coaxial high-temperature superconducting cables, when the cooling layer fails, the current often redistributes, potentially leading to current imbalance between phases. If a phase of the superconducting cable loses superconductivity early, current will transfer from that phase to other phases that remain superconducting, resulting in a three-phase current imbalance. Specifically, if the cooling effect of a phase is poor, causing its superconducting material to lose superconductivity early, manifested as an increase in superconductivity failure points, current will transfer from that phase to other phases. In this case, the current in that phase will decrease to ensure the stable operation of the cable system. Therefore, when there are many superconductivity failure points, the corresponding current should generally be smaller. The closer it is to 0, the more likely it is to indicate and The closer the values ​​are, the more likely it is that there are more quenching nodes and the smaller the current. This usually indicates that the calculated current and number of quenching nodes are more consistent with reality, and therefore, the more likely the calculated number of quenching nodes should be retained. Therefore, when... A larger value often indicates a larger number of out-of-go nodes and a smaller current, which often means that the calculated current and number of out-of-go nodes are more consistent with the actual situation, and that the calculated number of out-of-go nodes should be retained.

[0121] Step S5: Based on the target matching and the number of out-of-go nodes of each phase at the current time, determine the corrected out-of-go node number of each phase at the current time, and determine the carrying capacity based on the total corrected out-of-go node number.

[0122] As an example, this step may include the following steps:

[0123] The first step, determining the target retention weight of each phase at the current moment based on the target matching of different phases of the three coaxial high-temperature superconducting cables, may include the following sub-steps:

[0124] The first sub-step is to normalize the target matching of phase A of the three-phase coaxial high-temperature superconducting cable at the current moment to obtain the target retention weight of phase A of the three-phase coaxial high-temperature superconducting cable at the current moment.

[0125] The second sub-step is to normalize the product of the target matching properties of phase A and phase B of the three-phase coaxial high-temperature superconducting cable at the current moment, so as to obtain the target retention weight of phase B of the three-phase coaxial high-temperature superconducting cable at the current moment.

[0126] The third sub-step is to normalize the cumulative product of the target matching of phases A, B, and C of the three-phase coaxial high-temperature superconducting cable at the current moment, so as to obtain the target retention weight of phase C of the three-phase coaxial high-temperature superconducting cable at the current moment.

[0127] For example, the formulas for determining the target retention weights of phases A, B, and C of a three-phase coaxial high-temperature superconducting cable at the current moment can be:

[0128] ;

[0129] ;

[0130] ;

[0131] in, WA It is the target retention weight of phase A of a three-phase coaxial high-temperature superconducting cable at the current moment. WB It is the target retention weight of phase B of a three-phase coaxial high-temperature superconducting cable at the current moment. WC It is the target retention weight of the C phase of a three-phase coaxial high-temperature superconducting cable at the current moment. It is a normalization function. PA It is the target matching of phase A of a three-phase coaxial high-temperature superconducting cable at the current moment. PB It is the target matching of phase B of a three-phase coaxial high-temperature superconducting cable at the current moment. PC It is the target matching of the C phase of a three-phase coaxial high-temperature superconducting cable at the current moment.

[0132] It should be noted that in practice, in triaxial cables, the inner layer is usually the first to enter the quench state because it is farther from the cooling source and its temperature rises faster, causing its superconductivity to fail before the outer layer. When the inner layer quenches, the current cannot pass through these quenched regions and must therefore be transferred to the cooler, still superconducting outer layer. Since the outer layer remains superconducting, it can carry a portion of the current from the inner layer. Therefore, when assessing the actual availability of the number of quench nodes for each phase, in addition to considering the determined quench nodes and current matching for the current phase, it is also necessary to analyze the situation of its inner layer quench nodes. An increase in inner layer quench nodes will significantly affect the current transmission capacity and increase the burden on the outer layer, thereby changing the current distribution. A higher target matching often indicates a larger number of quench nodes and a smaller current, which often means that the calculated current and number of quench nodes are more consistent with reality, and that the calculated number of quench nodes should be retained. Therefore, WA It can represent the retention weight of phase A at the current time. The larger the value, the more the calculated number of out-of-capture nodes of phase A at the current time should be retained. WB It can characterize the retention weight of phase B at the current moment. The larger the value, the more the calculated number of out-of-go nodes of phase B at the current moment should be retained. WCIt can characterize the retention weight of phase C at the current moment. The larger the value, the more the calculated number of out-of-capture nodes of phase C at the current moment should be retained.

[0133] The second step is to determine the corrected number of outgoing nodes for each phase at the current time by multiplying the target retention weight and the number of outgoing nodes for each phase at the current time.

[0134] For example, the formula for determining the number of corrected out-of-go nodes for different phases at the current time can be:

[0135] ;

[0136] in, It is the first high-temperature superconducting cable with a triaxial structure. i The number of nodes that have missed the correction at the current moment. i It is the phase number of a three-phase coaxial high-temperature superconducting cable. It is the first high-temperature superconducting cable with a triaxial structure. i The target retention weight of each phase at the current moment. It is the first high-temperature superconducting cable with a triaxial structure. i The number of outgoing nodes in each phase at the current moment.

[0137] It should be noted that, The first characteristic that can characterize a high-temperature superconducting cable with a three-axis coaxial structure is... i The retention weight of each phase at the current time, the larger the value, the better the calculated weight of the first phase. i The more accurate the number of out-of-capacity nodes for each phase at the current moment, the more likely it is that the calculated number of nodes should be retained. i The number of out-of-capacity nodes for each phase at the current moment. Therefore, The first characteristic that can characterize a high-temperature superconducting cable with a three-axis coaxial structure is... i The number of out-of-capacity nodes after correction at the current moment.

[0138] The third step is to determine the load capacity based on the number of all corrected out-of-bounds nodes.

[0139] It should be noted that the load capacity can be quantified based on the number of outgoing nodes using existing technologies, which will not be elaborated here.

[0140] For example, based on the number of all corrected out-of-go nodes, the load capacity can be quantified using an out-of-go propagation model and a critical state criterion method.

[0141] Alternatively, based on the number of all corrected quench nodes, the current carrying capacity can also be determined through thermodynamic models, electromagnetic analysis, critical state criteria, and numerical optimization techniques.

[0142] refer to Figure 2 Based on the same inventive concept as the above-described method embodiments, this invention provides a current-carrying capacity determination system for a three-coaxial high-temperature superconducting cable system. This system includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of a method for determining the current-carrying capacity of a three-coaxial high-temperature superconducting cable system, specifically including:

[0143] Data acquisition module 201 is used to acquire the current value and the number of quench nodes of each phase of a three-phase coaxial high-temperature superconducting cable at each sampling moment in a historical time period by using a current sensor and a temperature propagation formula.

[0144] The target correction availability determination module 202 is used to determine the target correction availability of each phase at each sampling time based on the distribution of the current value and the number of out-of-go nodes of each phase at each sampling time and the previous sampling time.

[0145] The corrected current data determination module 203 is used to determine the corrected current data of each phase at the current moment based on the target corrected availability and current value of each phase at all sampling times and under each phase.

[0146] The target matching determination module 204 is used to determine the target matching of each phase at the current moment based on the matching between the corrected current data of each phase and the number of out-of-go nodes at the current moment.

[0147] The correction and load capacity determination module 205 is used to determine the number of corrected out-of-bounds nodes for each phase at the current time based on the target matching and out-of-bounds nodes of each phase at the current time, and to determine the load capacity based on the total number of corrected out-of-bounds nodes.

[0148] Figure 3 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. For example, as shown... Figure 3 As shown, the computer device 300 includes: a memory 301, a processor 302, and a computer program 303 stored in the memory 301 and running on the processor 302. When the processor 302 executes the computer program 303, the computer device can execute any of the aforementioned methods for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system.

[0149] Based on the same inventive concept as the above-described method embodiments, the present invention provides a server, including a memory and a processor. The memory stores executable program code, and the processor retrieves and runs the executable program code from the memory, causing the device to execute any of the above-described methods for determining the current-carrying capacity of a triaxial high-temperature superconducting cable system.

[0150] Based on the same inventive concept as the above-described method embodiments, the present invention provides a computer program product comprising: computer program code, which, when run on a computer, causes the computer to execute any of the above-described methods for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system.

[0151] Based on the same inventive concept as the above-described method embodiments, the present invention provides a computer-readable storage medium storing computer program code, which, when executed on a computer, causes the computer to perform any of the above-described methods for determining the current carrying capacity of a triaxial high-temperature superconducting cable system.

[0152] In summary, this invention quantifies the target correction availability of each phase at each sampling time by analyzing the distribution of current values ​​and the number of queuing nodes at each sampling time and the previous sampling time. This quantifies the corrected current data of each phase at the current time. Furthermore, by analyzing the matching between the corrected current data of each phase at the current time and the number of queuing nodes, the target matching of each phase at the current time is quantified. This achieves the correction of the number of queuing nodes determined by the temperature propagation formula, improving the accuracy of the final determination of the number of queuing nodes. Based on all corrected queuing node numbers, the current carrying capacity is determined, thereby improving the accuracy of the current carrying capacity determination.

[0153] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system, characterized in that, Includes the following steps: Using current sensors and temperature propagation formulas, the current value and number of quench nodes of each phase of a three-phase coaxial high-temperature superconducting cable are obtained at each sampling moment within a historical time period. The end moment of the historical time period is the current moment. Based on the distribution of the current value and number of quench nodes of each phase at each sampling moment and the previous sampling moment, the target correction availability of each phase at each sampling moment is determined. Based on the target correction availability and current value of each phase at all sampling moments, the corrected current data of each phase at the current moment is determined. The target matching of each phase at the current moment is determined based on the matching between the corrected current data of each phase at the current moment and the number of quench nodes. Based on the target matching and number of out-of-go nodes of each phase at the current moment, determine the corrected out-of-go node number of each phase at the current moment, and determine the carrying capacity based on all corrected out-of-go node numbers.

2. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 1, characterized in that, The determination of the target correction availability for each phase at each sampling time, based on the distribution of current values ​​and the number of out-of-go nodes for each phase at each sampling time and the previous sampling time, includes: The initial correction availability of each phase at each sampling time is determined based on the inverse relationship between the current value of each phase at each sampling time and the number of out-of-go nodes. Based on the initial correction availability of each phase at each sampling time, and the distribution of current value and number of out-of-go nodes of each phase at each sampling time and the previous sampling time, the target correction availability of each phase at each sampling time is determined.

3. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 2, characterized in that, The determination of the initial correction availability for each phase at each sampling time based on the inverse proportional relationship between the current value of each phase at each sampling time and the number of out-of-go nodes includes: The sum of the normalized value of the current value of each phase at each sampling time and the normalized value of the number of out-of-quench nodes is determined as the current quantity index of each phase at each sampling time. The absolute value of the difference between the current quantity index of each phase at each sampling time and the constant 1 is determined as the target difference of each phase at each sampling time. The initial correction availability of each phase at each sampling time is determined based on the target difference of each phase at each sampling time.

4. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 2, characterized in that, The determination of the target correction availability of each phase at each sampling time, based on the initial correction availability of each phase at each sampling time and the distribution of the current value and the number of out-of-go nodes of each phase at each sampling time and the previous sampling time, includes: Based on the difference between the number of out-of-go nodes of each phase at each sampling time and the number of out-of-go nodes at the previous sampling time, and the difference between the current value of each phase at the previous sampling time and the current value at the current time, the variation index of each phase at each sampling time is determined. Based on the variation pattern index of each phase at each sampling time and the initial correction availability, the target correction availability of each phase at each sampling time is determined.

5. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 4, characterized in that, The method of determining the variation index of each phase at each sampling time based on the difference between the number of out-of-go nodes of each phase at each sampling time and the number of out-of-go nodes at the previous sampling time, and the difference between the current value of each phase at each sampling time and the current value at the current time below, includes: The difference between the number of outgoing nodes in each phase at each sampling time and the number of outgoing nodes at the previous sampling time is normalized to obtain the quantity difference factor of each phase at each sampling time. The difference between the current value of each phase at the previous sampling time and the current value at the next sampling time is normalized to obtain the current difference factor of each phase at each sampling time. The sum of the quantity difference factor and the current difference factor of each phase at each sampling time is determined as the index of the change law of each phase at each sampling time.

6. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 4, characterized in that, The step of determining the target correction availability of each phase at each sampling time based on the variation pattern index and initial correction availability of each phase at each sampling time includes: The product of the variation pattern index of each phase at each sampling time and the initial correction availability is determined as the target correction availability of each phase at each sampling time.

7. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 1, characterized in that, The step of determining the corrected current data for each phase at the current moment based on the target corrected availability and current value of each phase at all sampling times includes: The target weight of each phase at each sampling time is determined based on the target correction availability of each phase at each sampling time and the duration between each sampling time and the current time. Based on the target weight and current value of each phase at all sampling times within the historical time period, the corrected current data for each phase at the current time is determined.

8. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 7, characterized in that, The step of determining the corrected current data for each phase at the current moment based on the target weight and current value of each phase at all sampling times within the historical time period includes: The product of the target weight and the current value of each phase at each sampling time is determined as the current local current factor of each phase at each sampling time. The cumulative value of the current local current factor of each phase at all sampling times within the historical time period is determined as the corrected current data of each phase at the current time.

9. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 1, characterized in that, The step of determining the target matching degree of each phase at the current moment based on the matching between the corrected current data of each phase at the current moment and the number of queuing nodes includes: The sum of the corrected current data of the three phases of the three-phase coaxial high-temperature superconducting cable at the current moment is determined as the overall current index at the current moment. The proportion of each corresponding corrected current data in the overall current index is determined as each corresponding relative current factor. The sum of the number of quench failure nodes of the three phases of the three-phase coaxial high-temperature superconducting cable at the current moment is determined as the overall quench failure number index at the current moment. The proportion of the number of outgoing nodes of each phase at the current moment in the overall outgoing quantity index is determined as the relative outgoing quantity factor of each phase. The target matching of each phase at the current moment is determined based on the corresponding relative current factor and relative quench quantity factor.

10. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 9, characterized in that, The step of determining the target matching of each phase at the current moment based on each corresponding relative current factor and relative quench quantity factor includes: The difference between constant 1 and each corresponding relative current factor is determined as each corresponding current characteristic factor; The target matching of each phase at the current moment is determined based on the absolute value of the difference between each corresponding current characteristic factor and the relative quench quantity factor.

11. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 1, characterized in that, The step of determining the corrected number of out-of-go nodes for each phase at the current moment based on the target matching and out-of-go node count for each phase at the current moment includes: Based on the target matching of different phases of the three-phase coaxial high-temperature superconducting cable at the current moment, determine the target retention weight of each phase at the current moment; The corrected number of outgoing nodes for each phase at the current time is determined by multiplying the target retention weight of each phase at the current time by the number of outgoing nodes.

12. The method for determining the current carrying capacity of a three-coaxial high-temperature superconducting cable system according to claim 11, characterized in that, The determination of the target retention weight of each phase at the current moment based on the target matching of different phases of the three-phase coaxial high-temperature superconducting cable at the current moment includes: The target matching of phase A of the three-phase coaxial high-temperature superconducting cable at the current moment is normalized to obtain the target retention weight of phase A of the three-phase coaxial high-temperature superconducting cable at the current moment. The product of the target matching properties of phase A and phase B of the three-phase coaxial high-temperature superconducting cable at the current moment is normalized to obtain the target retention weight of phase B of the three-phase coaxial high-temperature superconducting cable at the current moment. The cumulative product of the target matching of phases A, B, and C of the three-phase coaxial high-temperature superconducting cable at the current moment is normalized to obtain the target retention weight of phase C of the three-phase coaxial high-temperature superconducting cable at the current moment.

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