CN111060788A - Method and device for analyzing cable insulation defect, storage medium and processor - Google Patents

Method and device for analyzing cable insulation defect, storage medium and processor Download PDF

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Publication number
CN111060788A
CN111060788A CN201911330996.1A CN201911330996A CN111060788A CN 111060788 A CN111060788 A CN 111060788A CN 201911330996 A CN201911330996 A CN 201911330996A CN 111060788 A CN111060788 A CN 111060788A
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cable
field intensity
intensity distribution
simulation model
defect
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苗旺
刘弘景
吴麟琳
黄山
刘可文
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State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
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State Grid Corp of China SGCC
State Grid Beijing Electric Power Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1263Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • G01R31/1272Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements

Abstract

The invention discloses a method and a device for analyzing cable insulation defects, a storage medium and a processor. The invention comprises the following steps: building a cable simulation model and obtaining a first field intensity distribution map, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model; adding the preset defect to the cable simulation model, and acquiring a second field intensity distribution diagram, wherein the second field intensity distribution diagram is the electromagnetic field intensity distribution diagram of the cable simulation model after the preset defect is added; and acquiring the field intensity change characteristics of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram. The invention solves the technical problem of poor anti-interference capability of a means for detecting the insulation state of the cable in the related technology.

Description

Method and device for analyzing cable insulation defect, storage medium and processor
Technical Field
The invention relates to the field of cable detection, in particular to a method and a device for analyzing cable insulation defects, a storage medium and a processor.
Background
With the rapid development of the urbanization process, the crosslinked polyethylene (XLPE for short) power cable with good electrical performance is widely applied to urban power transmission and distribution grids. The failure of the cable during operation is basically caused by damage of external force (corrosion of underground water to the cable, and the like, and in addition, due to possible defects in the material, manufacture and use process of the cable, under the influence of factors such as heat, machinery, electricity, heat, chemistry, and the like, the cable is subjected to insulation aging, so that the actual reliable service life is shortened, and the reliable transmission of electric power is influenced.
Single or multiple stress factors can cause various cable defects such as cracks, cavities, impurities, conductor shielding defects and the like, and further can cause water branches, electric branches and partial discharge phenomena. The deterioration of the insulation of the cable is the main cause of the failure of the cable, and over time, the accumulation of stress and the creation of defects in the cable reduce the dielectric strength of the cable insulation, eventually causing the cable insulation to deteriorate. Therefore, it is necessary to estimate the insulation state of the cable in real time through an online detection and diagnosis technique so as to predict the rest of the life of the cable and improve the operational reliability of the transmission and distribution network.
In the related art, methods for online detecting the insulation state of a cable mainly include: direct current superposition, alternating current superposition, partial discharge, and the like. The basic principle of the on-line detection of the direct current superposition method is that a low-voltage direct current power supply (usually 50V) is added at a neutral point of a grounding voltage transformer, namely, the direct current voltage is superposed on an originally applied alternating current phase voltage of a cable insulation, so that weak direct current passing through the cable insulation layer or the insulation resistance of the cable insulation layer is measured. The basic principle of the alternating current superposition method for on-line detection is that a 101Hz signal is superposed on the main insulation of a cable, and a 1Hz degraded current signal is measured to judge the insulation performance of the cable, which is also called an even power frequency +1Hz method. Compared with a direct current superposition method, the method has the characteristics of strong anti-interference performance and high sensitivity. The partial discharge on-line detection needs to couple a discharge signal generated by the insulation degradation of the cable into an observation system, and mainly comprises two measurement methods, namely an electrical measurement method and a non-electrical measurement method, wherein a pulse current method is one of the most basic and most widely utilized measurement methods.
However, the direct current superposition method is susceptible to interference factors such as field power frequency electromagnetic field, stray current, and shielding layer grounding chemical potential, and is not widely used. The alternating current superposition method does not have enough statistical data for judging the insulation state of the cable, and the aging degree of the power cable is difficult to accurately judge. The measuring frequency band of the partial discharge method is low, and the partial discharge method is easily influenced by background interference and has poor interference resistance.
In view of the above problems in the related art, no effective solution has been proposed.
Disclosure of Invention
The invention mainly aims to provide a method and a device for analyzing cable insulation defects, a storage medium and a processor, so as to solve the technical problem that the anti-interference capability of a cable insulation state detection means in the related technology is poor.
In order to achieve the above object, according to one aspect of the present invention, there is provided a method of analyzing insulation defects of a cable. The invention comprises the following steps: building a cable simulation model and obtaining a first field intensity distribution map, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model; adding the preset defect to the cable simulation model, and acquiring a second field intensity distribution diagram, wherein the second field intensity distribution diagram is the electromagnetic field intensity distribution diagram of the cable simulation model after the preset defect is added; and acquiring the field intensity change characteristics of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram.
Further, building a cable simulation model comprises: acquiring a plurality of structural parameters corresponding to each layer of structure of the cable; according to various materials corresponding to each layer structure of the cable, acquiring a plurality of magnetic conductivities and a plurality of electric conductivities corresponding to the various materials; and building a cable simulation model in preset software according to the plurality of structural parameters, the plurality of magnetic conductivities and the plurality of electric conductivities.
Further, after building the cable simulation model, the method further comprises: and establishing a solving area around the cable simulation model and determining the boundary of the cable simulation model.
Further, building a cable simulation model, and acquiring the first field intensity distribution diagram comprises: carrying out grid division on the cable simulation model; applying external excitation to the cable simulation model after grid division, wherein the external excitation is generated by an external excitation circuit which is a sine circuit; controlling an external excitation circuit to discharge according to a sine rule; the plurality of first field strength distribution maps are solved by a transient field solver based on the discharge of the external excitation circuit.
Further, adding the preset defect to the cable simulation model, and acquiring the second field intensity distribution map includes: after the preset defects are added to the cable simulation model, controlling a preset excitation circuit to discharge according to a sine rule, wherein the preset defects are at least one of the following defects: air gap defect, bulge defect and water branch defect of the cable; acquiring a plurality of cable eddy current distribution maps of the cable simulation model according to the discharge of an external excitation circuit; and acquiring a plurality of second field intensity distribution graphs according to the plurality of cable eddy current distribution graphs.
Further, according to the first field intensity distribution diagram and the second field intensity distribution diagram, obtaining the field intensity variation characteristics of the cable under the preset defect comprises: and determining a target mapping relation according to the preset defect of the cable, the first field intensity distribution diagram and the second field intensity distribution diagram.
In order to achieve the above object, according to another aspect of the present invention, there is provided an apparatus for analyzing insulation defects of a cable body. The device includes: the device comprises a building unit, a calculating unit and a calculating unit, wherein the building unit is used for building a cable simulation model and acquiring a first field intensity distribution diagram, and the first field intensity distribution diagram is an electromagnetic field intensity distribution diagram of the cable simulation model; the first acquisition unit is used for adding the preset defect to the cable simulation model and acquiring a second field intensity distribution map, wherein the second field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model after the preset defect is added; and the second acquisition unit is used for acquiring the field intensity change characteristics of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram.
Further, the building unit comprises: the first acquisition subunit is used for acquiring a plurality of structural parameters corresponding to each layer of structure of the cable; the second obtaining subunit is used for obtaining a plurality of magnetic conductivities and a plurality of conductivities corresponding to the plurality of materials according to the plurality of materials corresponding to each layer structure of the cable; and the building subunit is used for building a cable simulation model in preset software according to the plurality of structural parameters, the plurality of magnetic conductivities and the plurality of electric conductivities.
In order to achieve the above object, according to another aspect of the present application, there is provided a storage medium including a stored program, wherein the program performs a method of analyzing a cable insulation defect of any one of the above.
In order to achieve the above object, according to another aspect of the present application, there is provided a processor, a storage medium including a stored program, wherein the program performs a method of analyzing a cable insulation defect of any one of the above.
The invention adopts the following steps: building a cable simulation model and obtaining a first field intensity distribution map, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model; adding the preset defect to the cable simulation model, and acquiring a second field intensity distribution diagram, wherein the second field intensity distribution diagram is the electromagnetic field intensity distribution diagram of the cable simulation model after the preset defect is added; according to the first field intensity distribution diagram and the second field intensity distribution diagram, the field intensity change characteristics of the cable under the preset defect are obtained, the technical problem that the anti-interference capability of a means for detecting the insulation state of the cable in the related technology is poor is solved, and further the effect of providing a powerful theoretical basis for detecting the defect of the cable is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate an embodiment of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flow chart of a method for analyzing insulation defects of a cable according to an embodiment of the present invention; and
FIG. 2 is a schematic diagram of a power cable and solution domain simulation model;
FIG. 3 is a schematic diagram of a power cable model after meshing;
FIG. 4 is a schematic diagram of an external excitation circuit;
FIG. 5 is a graph comparing the eddy current distribution before and after the occurrence of an air gap in a cable;
FIG. 6 is a graph comparing eddy current distribution before and after the cable is degraded with bumps;
FIG. 7 is a graph comparing the eddy current distribution before and after water tree degradation of the cable;
fig. 8 is a schematic view of an apparatus for analyzing insulation defects of a cable body according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged under appropriate circumstances in order to facilitate the description of the embodiments of the invention herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of description, some terms or expressions referring to the embodiments of the present invention are explained below:
XLPE cable: a crosslinked polyethylene cable.
According to an embodiment of the present invention, a method of analyzing cable insulation defects is provided.
Fig. 1 is a flowchart of a method for analyzing insulation defects of a cable according to an embodiment of the present invention. As shown in fig. 1, the present invention comprises the steps of:
step S101, a cable simulation model is built, and a first field intensity distribution graph is obtained, wherein the first field intensity distribution graph is an electromagnetic field intensity distribution graph of the cable simulation model.
In the above way, the method for analyzing the cable body degradation based on the magnetic field distribution characteristics improves the evaluation capability of the cable degradation, provides an effective means for live detection of the cable degradation, and provides a theoretical support for online detection of the cable by a harmonic method.
The method comprises the steps of analyzing different conditions of cable outgoing lines by building a simulation model of the cable, and specifically, obtaining an electromagnetic field intensity distribution diagram of the cable simulation model after the simulation model of the cable is built.
Further, based on the simulation model of the cable, an electromagnetic field intensity distribution diagram of the cable simulation model is obtained.
Step S102, adding the preset defect to the cable simulation model, and obtaining a second field intensity distribution diagram, wherein the second field intensity distribution diagram is the electromagnetic field intensity distribution diagram of the cable simulation model after the preset defect is added.
In the above manner, in this embodiment, the common defects encountered by the cable in the using process are added to the cable simulation model, so that the cable simulation model can simulate the cable with the preset defects, and the field intensity distribution map of the cable simulation model with the preset defects is obtained through the cable simulation model with the preset defects.
And step S103, acquiring field intensity change characteristics of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram.
In the above manner, the field intensity distribution characteristics of the cable at the preset defect are analyzed by the field intensity distribution diagram of the cable without the defect and the field intensity distribution diagram of the cable with the defect.
Optionally, building the cable simulation model includes: acquiring a plurality of structural parameters corresponding to each layer of structure of the cable; according to various materials corresponding to each layer structure of the cable, acquiring a plurality of magnetic conductivities and a plurality of electric conductivities corresponding to the various materials; and building a cable simulation model in preset software according to the plurality of structural parameters, the plurality of magnetic conductivities and the plurality of electric conductivities.
Specifically, the building of the cable simulation model comprises the following steps:
(1) determining structural parameters of XLPE cable
The cable in the embodiment is illustrated by taking a medium-voltage cable as an example, the medium-voltage cable refers to a cable used in a voltage range of 3-35 kV, and the variety and specification of the medium-voltage cable can be divided into a single-core cable and a three-core cable, so that the medium-voltage cable is frequently used in a power distribution network. The cable mainly comprises a conductor structure, an insulation structure, a shielding structure, an inner liner structure, a waterproof layer, a buffer layer structure, an armor structure and a non-metal outer sheath according to the structure. Before establishing a finite element simulation model of the cable, the model of the cable and the structural parameters of each layer need to be determined so as to simulate the cable in actual operation.
(2) Determining material parameters of XLPE cable
The conductor of the XLPE power cable mainly adopts aluminum or copper material; the insulation structure is extruded on the conductor by crosslinked polyethylene material to form insulation; the shielding layer is composed of conductor shielding, insulation shielding and metal shielding, the conductor shielding and the insulation shielding are made of semi-conductive materials, and the metal shielding is mainly made of copper. The lining layer structure is made of different materials according to the cable structure; the armor structure mainly comprises steel; the non-metallic outer sheath is made of polyethylene or polyvinyl chloride type material. When a cable model is built in Ansoft/Maxwell software, the magnetic permeability and the electric conductivity parameters of materials used by each structure are needed to build a complete finite element simulation model.
Further, according to the structural parameters and material parameters (including the magnetic permeability and the electric conductivity of the material) of the medium-voltage XLPE power cable, a finite element simulation model is built in Maxwell software, and a 35kV single-core XLPE power cable is taken as an example. Selecting a part of the cable of the model, and establishing a three-dimensional simulation model in Maxwell software according to the actual size in a ratio of 1:1, wherein the simulation model of the cable is shown in figure 2.
Optionally, after building the cable simulation model, the method further includes: and establishing a solving area around the cable simulation model and determining the boundary of the cable simulation model.
Specifically, after a cable simulation model is built, a solution area and a boundary condition are set around a cable, the precision and the calculation time of simulation calculation are determined by the size of the solution area, in this example, the solution area is set to exceed a model boundary by 30% in the x-axis and y-axis directions, and the solution area is a model boundary in the z-axis direction, as shown in fig. 2, fig. 2 is a schematic diagram of a power cable and a solution area simulation model.
Optionally, building a cable simulation model, and obtaining the first field strength distribution map includes: carrying out grid division on the cable simulation model; applying external excitation to the cable simulation model after grid division, wherein the external excitation is generated by an external excitation circuit which is a sine circuit; controlling an external excitation circuit to discharge according to a sine rule; the plurality of first field strength distribution maps are solved by a transient field solver based on the discharge of the external excitation circuit.
In the above, the field intensity distribution diagram of the cable under normal conditions is obtained through the built cable simulation model, and the cable simulation model needs to be subjected to grid division. The XLPE power cable is simple in shape, therefore, manual subdivision is adopted for grid division of a simulation model, and the side length of a unit with the maximum size of a grid is set to be 8 mm. The power cable model after being divided into grids is shown in fig. 3, and fig. 3 is a schematic diagram of the power cable model after being divided into grids. The model excitation adopts an external excitation circuit, the circuit principle is shown in fig. 4, fig. 4 is an external excitation circuit principle diagram, wherein the excitation source is a sinusoidal voltage source, for the present example, the peak value is 35000 × 1.414V, the voltage source frequency is power frequency 50Hz, the load is a pure resistive load, and LWinding1 is a cable finite element model.
Optionally, a transient field solver is selected to solve the model, the simulation stopping time is set to 0.05s, since the frequency of the excitation source is 50Hz, the simulation step length cannot be set to 0.0005s too much, the simulation step length is converted to a power frequency period and can be sampled at 40 points, and the transient field solver principle is specifically analyzed as follows:
the three-dimensional transient field module adopts a T-omega method based on vector potential to carry out finite element calculation, in the solving process of the method, an excitation source and field quantity change in a sine rule along with time, and a medium has isotropy, so that when the medium is at power frequency, the displacement current is ignored. In the non-eddy current region, maxwell's equations can be written;
Figure BDA0002329542790000061
wherein the content of the first and second substances,
Figure BDA0002329542790000062
all represent significant phasors, and the omission of phasor notation is omitted in the following derivation.
In the eddy region, due to the absence of source current, one can obtain:
Figure BDA0002329542790000063
wherein T represents a vector potential and the eddy current density J is represented by its rotatione
Thereby obtaining:
Figure BDA0002329542790000064
wherein HsRepresents the source current density JsThe resulting magnetic field strength, ▽ psi, is a scalar magnetic potential.
Finally, the equation is obtained and finite element solution is carried out according to the following formula (4):
Figure BDA0002329542790000071
optionally, adding the preset defect to the cable simulation model, and acquiring the second field intensity distribution map includes: after the preset defects are added to the cable simulation model, controlling a preset excitation circuit to discharge according to a sine rule, wherein the preset defects are at least one of the following defects: air gap defect, bulge defect and water branch defect of the cable; acquiring a plurality of cable eddy current distribution maps of the cable simulation model according to the discharge of an external excitation circuit; and acquiring a plurality of second field intensity distribution graphs according to the plurality of cable eddy current distribution graphs.
Specifically, the XLPE cable body deterioration is caused by defects such as air gaps, impurities, protruding burrs, etc., and due to the influence of factors such as electric fields, heat, mechanical forces, and environments, the cable deterioration is caused by phenomena such as water branches, etc. Three degradation defects of air gaps, bulges and water branches are mainly considered in the embodiment, and are added into the cable simulation model respectively.
Further, after different defects are added into the cable simulation model, the cable simulation model is subjected to post-processing to obtain a cable eddy current distribution cloud picture, as shown in fig. 5, 6 and 7, fig. 5 is an eddy current distribution comparison picture before and after air gaps appear on the cable, fig. 6 is an eddy current distribution comparison picture before and after bulge deterioration appears on the cable, and fig. 7 is an eddy current distribution comparison picture before and after water tree deterioration appears on the cable.
Further explanation follows from theoretical derivation:
according to Maxwell's second equation
Figure BDA0002329542790000072
In addition, in isotropic media, there are
B=μH (6)
J=σE (7)
Can obtain
Figure BDA0002329542790000073
The equation (7) shows that there is a current gyration where the magnetic field strength changes in the medium, and the existence of the current gyration means that there is a closed current streamline in the medium and an eddy current-like flow is generated with the current, so that when the magnetic field strength changes in the medium, an eddy current flows inside.
In the case of a cable, if a current (alternating current) flows through a conductor, a magnetic flux φ is generated not only inside the conductor but also outside the conductort1、φt2And phit3Commonly referred to as leakage flux. However, if the cable is deteriorated and there are foreign substances such as air bubbles and water trees in the insulation, the magnetic flux phi passing through the deteriorated portiont1、φt2And phit3Is related to the magnetic flux phi passing through the normal insulatort0In contrast, the eddy current J generated in the aged portion varies depending on the electrical parameters (electrical conductivity, magnetic permeability). Similarly, they are different from the eddy currents in the normal insulator, so that the magnetic flux induced in the conductor is also different from the magnetic flux induced by the eddy currents in the normal insulator, so that when the insulator is degraded abnormally, the change of the magnetic field in the conductor can be detected, and the change of the magnetic field in the conductor can finally cause the generation of higher harmonics.
Further, comparing the field distribution change of the cable model before and after inserting the degradation defect, and further analyzing the distribution characteristics caused by different defects.
Optionally, obtaining the field intensity variation characteristic of the cable under the preset defect according to the first field intensity distribution map and the second field intensity distribution map includes: and determining a target mapping relation according to the preset defect of the cable, the first field intensity distribution diagram and the second field intensity distribution diagram.
In the above way, the field intensity change of the cable without the defect is recorded, so that the mapping relation between the defect and the field intensity change can be generated, and a powerful theoretical basis is provided for the monitoring of the cable.
The invention provides a 35kV single-core XLPE cable body degradation assessment method based on magnetic field distribution characteristic simulation analysis, which is beneficial to the characteristic analysis of cable degradation, improves the assessment capability of cable degradation, provides theoretical support for cable harmonic method online detection, and has the following specific beneficial effects:
1. the method analyzes and summarizes a representation model of the cable body degradation defect, uses simulation software Maxwell to add a degradation defect model into the cable model for simulation, simulates the real degradation operation condition of the cable body, and has theoretical basis and practical reference value.
2. The cable body degradation model is analyzed by adopting finite element simulation, the field distribution condition of the XLPE cable under the influence of degradation defects is obtained, the field change characteristics of the cable when different degradation defects occur are obtained, a theoretical basis is laid for the analysis of the degradation characteristics of the cable body, and the degradation characteristics of the cable are researched in principle.
3. And obtaining an eddy current distribution cloud picture caused by the deterioration of the XLPE cable by using Maxwell software, and further explaining a theoretical basis of online detection of a cable harmonic method based on the eddy current distribution cloud picture.
According to the method for analyzing the cable insulation defect, the cable simulation model is built, and the first field intensity distribution map is obtained, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model; adding the preset defect to the cable simulation model, and acquiring a second field intensity distribution diagram, wherein the second field intensity distribution diagram is the electromagnetic field intensity distribution diagram of the cable simulation model after the preset defect is added; according to the first field intensity distribution diagram and the second field intensity distribution diagram, the field intensity change characteristics of the cable under the preset defect are obtained, the technical problem that the anti-interference capability of a means for detecting the insulation state of the cable in the related technology is poor is solved, and further the effect of providing a powerful theoretical basis for detecting the defect of the cable is achieved.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The embodiment of the invention also provides a device for analyzing the insulation defect of the cable body, and it should be noted that the device for analyzing the insulation defect of the cable body of the embodiment of the invention can be used for executing the method for analyzing the insulation defect of the cable body provided by the embodiment of the invention. The following describes an apparatus for analyzing insulation defects of a cable body according to an embodiment of the present invention.
Fig. 8 is a schematic view of an apparatus for analyzing insulation defects of a cable body according to an embodiment of the present invention. As shown in fig. 8, the apparatus includes: the building unit 801 is used for building a cable simulation model and acquiring a first field intensity distribution map, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model; the first obtaining unit 802 is configured to add a preset defect to the cable simulation model, and obtain a second field intensity distribution map, where the second field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model after the preset defect is added; and a second obtaining unit 803, configured to obtain a field intensity variation characteristic of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram.
According to the device for analyzing the insulation defect of the cable body, which is provided by the embodiment of the invention, the building unit 801 is used for building a cable simulation model and acquiring a first field intensity distribution map, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model; the first obtaining unit 802 is configured to add a preset defect to the cable simulation model, and obtain a second field intensity distribution map, where the second field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model after the preset defect is added; the second obtaining unit 803 is configured to obtain, according to the first field intensity distribution map and the second field intensity distribution map, a field intensity change characteristic of the cable under a preset defect, so as to solve a technical problem that an anti-interference capability of a means for detecting an insulation state of the cable in the related art is poor, and further achieve an effect of providing a powerful theoretical basis for detecting a defect of the cable.
Optionally, the construction unit 801 comprises: the first acquisition subunit is used for acquiring a plurality of structural parameters corresponding to each layer of structure of the cable; the second obtaining subunit is used for obtaining a plurality of magnetic conductivities and a plurality of conductivities corresponding to the plurality of materials according to the plurality of materials corresponding to each layer structure of the cable; and the building subunit is used for building a cable simulation model in preset software according to the plurality of structural parameters, the plurality of magnetic conductivities and the plurality of electric conductivities.
Optionally, the apparatus further comprises: and the establishing unit is used for establishing a solving area around the cable simulation model and determining the boundary of the cable simulation model after the cable simulation model is established.
Optionally, the construction unit 801 comprises: the dividing subunit is used for carrying out grid division on the cable simulation model; the applying subunit is used for applying external excitation to the cable simulation model subjected to grid division, wherein the external excitation is generated by an external excitation circuit, and the external excitation circuit is a sine circuit; the first control subunit is used for controlling the external excitation circuit to discharge according to a sine rule; and the solving subunit is used for solving the plurality of first field intensity distribution graphs through a transient field solver based on the discharge of the external excitation circuit.
Optionally, the first obtaining unit 802 includes: the second control subunit is configured to, after adding a preset defect to the cable simulation model, control the preset excitation circuit to discharge according to a sinusoidal rule, where the preset defect is at least one of the following defects: air gap defect, bulge defect and water branch defect of the cable; the third acquisition subunit is used for acquiring a plurality of cable eddy current distribution maps of the cable simulation model according to the discharge of the external excitation circuit; and the fourth acquiring subunit is used for acquiring a plurality of second field intensity distribution graphs according to the plurality of cable eddy current distribution graphs.
Optionally, the second obtaining unit 803 includes:
and the determining subunit is used for determining a target mapping relation according to the preset defect of the cable, the first field intensity distribution diagram and the second field intensity distribution diagram.
The device for analyzing the insulation defect of the cable body comprises a processor and a memory, wherein the building unit 801 and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more than one, and the technical problem of poor anti-interference capability of a cable insulation state detection means in the related technology is solved by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
An embodiment of the present invention provides a storage medium having a program stored thereon, the program implementing a method of analyzing a cable insulation defect when executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the program runs to execute a method for analyzing the insulation defect of a cable.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: building a cable simulation model and obtaining a first field intensity distribution map, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model; adding the preset defect to the cable simulation model, and acquiring a second field intensity distribution diagram, wherein the second field intensity distribution diagram is the electromagnetic field intensity distribution diagram of the cable simulation model after the preset defect is added; and acquiring the field intensity change characteristics of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram.
Optionally, building the cable simulation model includes: acquiring a plurality of structural parameters corresponding to each layer of structure of the cable; according to various materials corresponding to each layer structure of the cable, acquiring a plurality of magnetic conductivities and a plurality of electric conductivities corresponding to the various materials; and building a cable simulation model in preset software according to the plurality of structural parameters, the plurality of magnetic conductivities and the plurality of electric conductivities.
Optionally, after building the cable simulation model, the method further includes: and establishing a solving area around the cable simulation model and determining the boundary of the cable simulation model.
Optionally, building a cable simulation model, and obtaining the first field strength distribution map includes: carrying out grid division on the cable simulation model; applying external excitation to the cable simulation model after grid division, wherein the external excitation is generated by an external excitation circuit which is a sine circuit; controlling an external excitation circuit to discharge according to a sine rule; the plurality of first field strength distribution maps are solved by a transient field solver based on the discharge of the external excitation circuit.
Optionally, adding the preset defect to the cable simulation model, and acquiring the second field intensity distribution map includes: after the preset defects are added to the cable simulation model, controlling a preset excitation circuit to discharge according to a sine rule, wherein the preset defects are at least one of the following defects: air gap defect, bulge defect and water branch defect of the cable; acquiring a plurality of cable eddy current distribution maps of the cable simulation model according to the discharge of an external excitation circuit; and acquiring a plurality of second field intensity distribution graphs according to the plurality of cable eddy current distribution graphs.
Optionally, obtaining the field intensity variation characteristic of the cable under the preset defect according to the first field intensity distribution map and the second field intensity distribution map includes: and determining a target mapping relation according to the preset defect of the cable, the first field intensity distribution diagram and the second field intensity distribution diagram. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The invention also provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: building a cable simulation model and obtaining a first field intensity distribution map, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model; adding the preset defect to the cable simulation model, and acquiring a second field intensity distribution diagram, wherein the second field intensity distribution diagram is the electromagnetic field intensity distribution diagram of the cable simulation model after the preset defect is added; and acquiring the field intensity change characteristics of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram.
Optionally, building the cable simulation model includes: acquiring a plurality of structural parameters corresponding to each layer of structure of the cable; according to various materials corresponding to each layer structure of the cable, acquiring a plurality of magnetic conductivities and a plurality of electric conductivities corresponding to the various materials; and building a cable simulation model in preset software according to the plurality of structural parameters, the plurality of magnetic conductivities and the plurality of electric conductivities.
Optionally, after building the cable simulation model, the method further includes: and establishing a solving area around the cable simulation model and determining the boundary of the cable simulation model.
Optionally, building a cable simulation model, and obtaining the first field strength distribution map includes: carrying out grid division on the cable simulation model; applying external excitation to the cable simulation model after grid division, wherein the external excitation is generated by an external excitation circuit which is a sine circuit; controlling an external excitation circuit to discharge according to a sine rule; the plurality of first field strength distribution maps are solved by a transient field solver based on the discharge of the external excitation circuit.
Optionally, adding the preset defect to the cable simulation model, and acquiring the second field intensity distribution map includes: after the preset defects are added to the cable simulation model, controlling a preset excitation circuit to discharge according to a sine rule, wherein the preset defects are at least one of the following defects: air gap defect, bulge defect and water branch defect of the cable; acquiring a plurality of cable eddy current distribution maps of the cable simulation model according to the discharge of an external excitation circuit; and acquiring a plurality of second field intensity distribution graphs according to the plurality of cable eddy current distribution graphs.
Optionally, obtaining the field intensity variation characteristic of the cable under the preset defect according to the first field intensity distribution map and the second field intensity distribution map includes: and determining a target mapping relation according to the preset defect of the cable, the first field intensity distribution diagram and the second field intensity distribution diagram.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present invention, and are not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims (10)

1. A method of analyzing insulation defects of a cable, comprising:
building a cable simulation model and obtaining a first field intensity distribution map, wherein the first field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model;
adding a preset defect to the cable simulation model, and acquiring a second field intensity distribution diagram, wherein the second field intensity distribution diagram is the electromagnetic field intensity distribution diagram of the cable simulation model after the preset defect is added;
and acquiring the field intensity change characteristics of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram.
2. The method of claim 1, wherein building a cable simulation model comprises:
acquiring a plurality of structural parameters corresponding to each layer of structure of the cable;
according to multiple materials corresponding to each layer structure of the cable, obtaining multiple magnetic conductivities and multiple electric conductivities corresponding to the multiple materials;
and building the cable simulation model in preset software according to the plurality of structural parameters, the plurality of magnetic conductivities and the plurality of electric conductivities.
3. The method of claim 1, wherein after building the cable simulation model, the method further comprises: and establishing a solving area around the cable simulation model and determining the boundary of the cable simulation model.
4. The method of claim 3, wherein building a cable simulation model and obtaining a first field strength profile comprises:
carrying out meshing on the cable simulation model;
applying external excitation to the cable simulation model after the meshing, wherein the external excitation is generated by an external excitation circuit which is a sine circuit;
controlling the external excitation circuit to discharge according to a sine rule;
solving a plurality of the first field strength distribution maps by a transient field solver based on the discharge of the external excitation circuit.
5. The method of claim 4, wherein adding a predetermined defect to the cable simulation model and obtaining a second field strength profile comprises:
after the preset defects are added to the cable simulation model, controlling the preset excitation circuit to discharge according to a sine rule, wherein the preset defects are at least one of the following defects: air gap defect, bulge defect and water branch defect of the cable;
acquiring a plurality of cable eddy current distribution maps of the cable simulation model according to the discharge of the external excitation circuit;
and acquiring a plurality of second field intensity distribution graphs according to the plurality of cable eddy current distribution graphs.
6. The method of claim 5, wherein obtaining the characteristics of the field strength variation of the cable at the predetermined defect from the first field strength distribution map and the second field strength distribution map comprises:
and determining a target mapping relation according to the preset defect of the cable, the first field intensity distribution diagram and the second field intensity distribution diagram.
7. An apparatus for analyzing insulation defects of a cable body, comprising:
the device comprises a building unit, a calculating unit and a calculating unit, wherein the building unit is used for building a cable simulation model and acquiring a first field intensity distribution diagram, and the first field intensity distribution diagram is an electromagnetic field intensity distribution diagram of the cable simulation model;
the first acquisition unit is used for adding a preset defect to the cable simulation model and acquiring a second field intensity distribution map, wherein the second field intensity distribution map is an electromagnetic field intensity distribution map of the cable simulation model after the preset defect is added;
and the second acquisition unit is used for acquiring the field intensity change characteristics of the cable under the preset defect according to the first field intensity distribution diagram and the second field intensity distribution diagram.
8. The apparatus according to claim 7, wherein the building unit comprises:
the first acquisition subunit is used for acquiring a plurality of structural parameters corresponding to each layer of structure of the cable;
the second obtaining subunit is used for obtaining a plurality of magnetic conductivities and a plurality of conductivities corresponding to a plurality of materials according to the plurality of materials corresponding to each layer structure of the cable;
and the building subunit is used for building the cable simulation model in preset software according to the plurality of structural parameters, the plurality of magnetic conductivities and the plurality of electric conductivities.
9. A storage medium comprising a stored program, wherein the program performs a method of analyzing a cable insulation defect according to any one of claims 1 to 6.
10. A processor, characterized in that the processor is configured to run a program, wherein the program is configured to perform a method of analyzing cable insulation defects according to any one of claims 1 to 6 when running.
CN201911330996.1A 2019-12-20 2019-12-20 Method and device for analyzing cable insulation defect, storage medium and processor Pending CN111060788A (en)

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Application publication date: 20200424