Method and device for predicting attribute of current in conducting medium and processor

Abstract

The invention discloses an attribute prediction method and device of current in a conducting medium and a processor. The method comprises the following steps: acquiring a conducting medium in which leakage current in a power system flows; based on at least one node in the multiple impedance branches in the flow direction of the conducting medium, a target difference model of the node is determined, and the target difference model is used for at least representing the mapping relation between currents flowing through the multiple impedance branches and voltages in the multiple impedance branches; using the target difference model to predict the attribute of the leakage current in the process of flowing to the conducting medium to obtain an attribute prediction result, the attribute prediction result at least comprising a circuit range through which the leakage current passes in the process of flowing to the conducting medium, and the attribute prediction result at least comprising a circuit range through which the leakage current passes in the process of flowing to the conducting medium. And the influence result of the leakage current on the power system in the process of flowing to the conducting medium is obtained. The technical problem that the accuracy of attribute prediction of the current in the conducting medium is low is solved.

Description

Technical Field

[0001] The present invention relates to the field of electric power, and in particular to a method, a device and a processor for predicting properties of electric current in a conductive medium. Background Art

[0002] In the power system, due to equipment insulation failure or external reasons, current will flow to conductive media such as water, thus generating leakage current. However, the generated leakage current will cause varying degrees of harm to the power supply of the power system. Therefore, it is crucial to analyze the propagation path and impact range of the leakage current in the conductive medium.

[0003] However, in the related art, it is often impossible to accurately capture the true characteristics of the current in the conductive medium, resulting in a technical problem of low accuracy in predicting the properties of the current in the conductive medium.

[0004] Currently, no effective solution has been proposed to the above-mentioned technical problem of low accuracy in predicting the properties of electric current in a conductive medium. Summary of the invention

[0005] Embodiments of the present invention provide a method, device, and processor for predicting properties of electric current in a conductive medium, so as to at least solve the technical problem of low accuracy in predicting properties of electric current in a conductive medium.

[0006] According to one aspect of an embodiment of the present invention, a method for predicting properties of current in a conductive medium is provided, the method comprising: obtaining a conductive medium to which a leakage current in an electric power system flows; determining a target differential model of a node based on at least one node in a plurality of impedance branches to which the conductive medium flows, wherein the target differential model is used to at least represent a mapping relationship between currents flowing through each of the plurality of impedance branches and voltages in each of the plurality of impedance branches; using the target differential model, predicting properties of the leakage current in the process of flowing to the conductive medium, and obtaining property prediction results, wherein the property prediction results include at least a circuit range through which the leakage current passes in the process of flowing to the conductive medium, and an impact result of the leakage current on the electric power system in the process of flowing to the conductive medium.

[0007] Optionally, determining a target differential model of a node based on at least one node in a plurality of impedance branches in which the conductive medium flows includes: determining a type of the node; and determining a target differential model based on the type.

[0008] Optionally, based on the type, determining the target differential model includes: determining target boundary information matching the type, wherein the target boundary information is used to represent electrical characteristics at the node; and determining the target differential model based on the target boundary information.

[0009] Optionally, based on the target boundary information, determining the target differential model includes: adjusting the initial differential model according to the target boundary information to obtain the target differential model.

[0010] Optionally, the target differential model is used to predict the properties of the leakage current in the process of flowing to the conductive medium to obtain property prediction results, including: determining the resistance and capacitance in the power system; inputting the resistance and capacitance into the target differential model; and predicting the properties in the target differential model to obtain property prediction results.

[0011] Optionally, the impedance branch includes: a first impedance branch, a second impedance branch and a third impedance branch, the direction of the first impedance branch is perpendicular to the direction of the second impedance branch and perpendicular to the direction of the third impedance branch, the direction of the second impedance branch is perpendicular to the direction of the first impedance branch and perpendicular to the direction of the third impedance branch, and the direction of the third impedance branch is perpendicular to the direction of the first impedance branch and perpendicular to the direction of the second impedance branch.

[0012] According to one aspect of an embodiment of the present invention, a device for predicting properties of current in a conductive medium is provided, and the device may include: an acquisition unit, used to acquire the conductive medium to which the leakage current in the power system flows; a determination unit, used to determine a target differential model of a node based on at least one node in a plurality of impedance branches to which the conductive medium flows, wherein the target differential model is used to at least represent a mapping relationship between currents flowing through each of the plurality of impedance branches and voltages in each of the plurality of impedance branches; a prediction unit, used to predict the properties of the leakage current in the process of flowing to the conductive medium using the target differential model, and obtain a property prediction result, wherein the property prediction result includes at least a circuit range through which the leakage current passes in the process of flowing to the conductive medium, and an impact result of the leakage current on the power system in the process of flowing to the conductive medium.

[0013] According to another aspect of an embodiment of the present invention, a processor is provided, which is used to run a program, wherein when the program is run by the processor, the method for predicting properties of current in a conductive medium in an embodiment of the present invention is executed.

[0014] According to another aspect of an embodiment of the present invention, an electronic device is provided, including: a memory storing an executable program; and a processor for running the program, wherein when the program is running, the method for predicting properties of current in a conductive medium in various embodiments of the present invention is executed.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the vehicle battery charging method in the present invention.

[0016] According to another aspect of an embodiment of the present invention, a computer program product is provided. The computer program product includes a computer program. When the computer program is executed by a processor, the method for predicting properties of current in a conductive medium in an embodiment of the present invention is implemented.

[0017] According to another aspect of an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the method for predicting properties of current in a conductive medium in an embodiment of the present invention is implemented.

[0018] According to another aspect of an embodiment of the present invention, an embodiment of the present application further provides a computer program, which, when executed by a processor, implements the method for predicting properties of current in a conductive medium in the above-mentioned embodiment of the present invention.

[0019] In an embodiment of the present invention, when predicting the properties of the current in the conductive medium, the conductive medium to which the leakage current in the power system flows can be obtained. According to at least one node in the multiple impedance branches to which the conductive medium flows, the target differential model of the node can be determined. Using the determined target differential model, the properties of the leakage current in the process of flowing to the above-mentioned conductive medium are predicted, and the property prediction result can be obtained, that is, the circuit range through which the leakage current passes in the process of flowing to the conductive medium, and the impact of the leakage current on the power system in the process of flowing to the conductive medium can be obtained, thereby achieving the purpose of accurately capturing the real characteristics of the current in the conductive medium, thereby solving the technical problem of low accuracy of the property prediction of the current in the conductive medium, and then achieving the technical effect of improving the accuracy of the property prediction of the current in the conductive medium. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0021] Figure 1 is a flow chart of a method for predicting properties of electric current in a conductive medium according to an embodiment of the present invention;

[0022] FIG2( a ) is a schematic diagram of a three-dimensional network node connection according to an embodiment of the present invention;

[0023] FIG2( b ) is a schematic diagram of a basic unit of an equivalent model according to an embodiment of the present invention;

[0024] FIG3( a ) is a schematic diagram of an impedance branch model according to an embodiment of the present invention;

[0025] FIG3( b ) is a schematic diagram of an internal node in an impedance branch according to an embodiment of the present invention;

[0026] FIG3( c ) is a schematic diagram of an upper boundary node in an impedance branch according to an embodiment of the present invention;

[0027] FIG3( d ) is a schematic diagram of an upper boundary grounding node in an impedance branch according to an embodiment of the present invention;

[0028] FIG3( e ) is a schematic diagram of an upper boundary insulation node in an impedance branch according to an embodiment of the present invention;

[0029] FIG3( f ) is a schematic diagram of a lower boundary insulation node in an impedance branch according to an embodiment of the present invention;

[0030] Figure 4 4 is a schematic diagram of a device for predicting properties of electric current in a conductive medium according to an embodiment of the present invention. DETAILED DESCRIPTION

[0031] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only embodiments of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0032] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0033] According to an embodiment of the present invention, a method for predicting properties of electric current in a conductive medium is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0034] Figure 1 is a flow chart of a method for predicting properties of electric current in a conductive medium according to an embodiment of the present invention. The method may include the following steps:

[0035] Step S101, obtaining a conductive medium to which a leakage current in a power system flows.

[0036] In the technical solution provided in step S101 of the present invention, the leakage current may be caused by insulation failure of equipment in the power system. For example, the equipment may include switches, cables, generators, transformers, distributors, inverters, etc., which are only used as examples and are not specifically limited.

[0037] In this embodiment, the conductive medium may include at least one of the following media: ground and water, etc., which are only used as examples and are not specifically limited.

[0038] In this embodiment, the conductive medium to which the leakage current in the power system flows is obtained. Optionally, in the case of equipment insulation failure, this embodiment can detect the leakage current in the power system and track the flow direction of the leakage current, and can obtain the conductive medium to which the leakage current flows, for example, the water body to which the leakage current flows, which is only an example and not specifically limited here.

[0039] Step S102, determining a target differential model of a node based on at least one node in a plurality of impedance branches in which the conductive medium flows.

[0040] In the technical solution provided in the above step S102 of the present invention, the above target differential model can be used to at least represent the mapping relationship between the currents flowing through each of the multiple impedance branches and the voltages in each of the multiple impedance branches.

[0041] In this embodiment, the number of the plurality of impedance branches is not limited. For example, the plurality of impedance branches may be three impedance branches, and the three impedance branches may be represented by coordinate axes in a three-dimensional coordinate system, which is only used as an example and is not specifically limited.

[0042] In this embodiment, after obtaining the conductive medium to which the leakage current in the power system flows, the target differential model of the node is determined based on at least one node in the multiple impedance branches to which the conductive medium flows. Optionally, this embodiment tracks the flow direction of the conductive medium on the basis of obtaining the conductive medium to which the leakage current flows, and can obtain multiple impedance branches to which the conductive medium flows. According to the type of at least one node in the above multiple impedance branches, the target differential model can be determined, that is, the mapping relationship between the current flowing through each of the multiple impedance branches and the voltage of each of the multiple impedance branches can be determined.

[0043] Step S103: using the target differential model, predicting the properties of the leakage current in the process of flowing to the conductive medium, and obtaining a property prediction result.

[0044] In the technical solution provided in the above step S103 of the present invention, the above attribute prediction result may at least include the circuit range that the leakage current passes through in the process of flowing to the conductive medium, and the impact result of the leakage current on the power system in the process of flowing to the conductive medium. For example, the above attribute prediction result may be the circuit range that the leakage current passes through in the process of flowing to the water body, and the impact result of the leakage current on the power system in the process of flowing to the water body, which is only used as an example and is not specifically limited.

[0045] In this embodiment, the circuit range may include the propagation path that the leakage current passes through when it flows to the conductive medium. The impact result may include the impact range of the leakage current on the power supply of the power system when it flows to the conductive medium.

[0046] In this embodiment, after determining the target differential model of at least one node in a plurality of impedance branches based on the flow direction of the conductive medium, the target differential model is used to predict the properties of the leakage current in the process of flowing to the conductive medium, and obtain the property prediction result. Optionally, on the basis of determining the target differential model, this embodiment inputs the current flowing through each of the plurality of impedance branches and the voltage of each of the plurality of impedance branches into the target differential model. Then, using the target differential model after inputting the above current and the above voltage, the properties of the leakage current in the process of flowing to the conductive medium are predicted, and the property prediction result can be obtained. For example, the circuit range through which the leakage current passes in the process of flowing to the conductive medium, and the impact of the leakage current on the power system in the process of flowing to the conductive medium can be obtained. This is only an example for illustration and is not specifically limited.

[0047] In the above steps S101 to S103 of the present application, when predicting the properties of the current in the conductive medium, the conductive medium to which the leakage current in the power system flows can be obtained. According to at least one node in the multiple impedance branches to which the conductive medium flows, the target differential model of the node can be determined. Using the determined target differential model, the properties of the leakage current in the process of flowing to the above-mentioned conductive medium are predicted, and the property prediction result can be obtained, that is, the circuit range through which the leakage current passes in the process of flowing to the conductive medium, and the impact of the leakage current on the power system in the process of flowing to the conductive medium can be obtained, thereby achieving the purpose of accurately capturing the true characteristics of the current in the conductive medium, thereby solving the technical problem of low accuracy of the property prediction of the current in the conductive medium, and then achieving the technical effect of improving the accuracy of the property prediction of the current in the conductive medium.

[0048] The above method of this embodiment is further introduced below.

[0049] As an optional implementation manner, step S102, based on at least one node in a plurality of impedance branches in which the conductive medium flows, determines a target differential model of the node, including: determining the type of the node; and determining the target differential model based on the type.

[0050] In this embodiment, the types of the above nodes may include at least the following types: internal nodes, upper boundary nodes and lower boundary nodes, which are only used as examples and are not specifically limited.

[0051] In this embodiment, the internal node can be used to represent a node located inside the network. According to different states, the internal node can be divided into: internal passive nodes (also called ordinary nodes), internal active nodes and internal ground nodes.

[0052] In this embodiment, the upper boundary node can be used to represent the edge node at which the network number (for example, represented by i, j or k) is the maximum. According to different states, the upper boundary node can be divided into an upper boundary grounding node and an upper boundary insulating node.

[0053] In this embodiment, the lower boundary node can be used to represent the edge node at which the network number (for example, represented by i, j or k) is the minimum value. According to different states, the lower boundary node can be divided into a lower boundary grounding node and a lower boundary insulating node.

[0054] In this embodiment, after obtaining the conductive medium to which the leakage current in the power system flows, the type of the node is determined. Optionally, based on obtaining the conductive medium to which the leakage current flows, this embodiment tracks the flow direction of the conductive medium, and can obtain multiple impedance branches in which the conductive medium flows, and the type of the node can be determined in the obtained multiple impedance branches. In other words, at least one node in the multiple impedance branches is classified to obtain a classification result. Among them, the classification result can be used to indicate the type to which at least one node in the multiple impedance branches belongs.

[0055] In this embodiment, after the type of the node is determined, a target differential model is determined based on the type. Optionally, based on the determination of the type of the node, if the type of the determined node is an internal passive node, the differential model that satisfies the internal passive node is determined as the target differential model; if the type of the determined node is an internal active node, the differential model that satisfies the internal active node is determined as the target differential model; if the type of the determined node is an internal grounded node, the differential model that satisfies the internal grounded node is determined as the target differential model; if the type of the determined node is an upper boundary grounded node, the differential model that satisfies the upper boundary grounded node is determined as the target differential model; if the type of the determined node is an upper boundary insulating node, the differential model that satisfies the upper boundary insulating node is determined as the target differential model; if the type of the determined node is a lower boundary grounded node, the differential model that satisfies the lower boundary grounded node is determined as the target differential model; if the type of the determined node is a lower boundary insulating node, the differential model that satisfies the lower boundary insulating node is determined as the target differential model. This is only used as an example and is not specifically limited.

[0056] As an optional implementation manner, determining the target differential model based on the type includes: determining target boundary information matching the type; and determining the target differential model based on the target boundary information.

[0057] In this embodiment, the target boundary information may be used to represent electrical characteristics at the node, wherein the electrical characteristics may include voltage and / or current at the node, etc., which are only used as examples and are not specifically limited.

[0058] In this embodiment, after determining the type of the node, the target boundary information matching the type is determined. Optionally, based on the determination of the type of the node, if the determined type of the node is an internal passive node, the boundary information matching the internal passive node is determined as the target boundary information; if the determined type of the node is an internal active node, the differential model satisfying the internal active node is determined as the target differential model; if the determined type of the node is an internal grounding node, the boundary information matching the internal grounding node is determined as the target boundary information; if the determined type of the node is an upper boundary grounding node, the boundary information matching the upper boundary grounding node is determined as the target boundary information; if the determined type of the node is an upper boundary insulating node, the boundary information matching the upper boundary insulating node is determined as the target boundary information; if the determined type of the node is a lower boundary grounding node, the boundary information matching the lower boundary grounding node is determined as the target boundary information; if the determined type of the node is a lower boundary insulating node, the boundary information matching the lower boundary insulating node is determined as the target boundary information, which is only used as an example and is not specifically limited.

[0059] In this embodiment, after determining the target boundary information that matches the type, the target differential model is determined based on the target boundary information. Optionally, based on the determination of the target boundary information, if the target boundary information is the boundary information that matches the internal passive node, the differential model that satisfies the internal passive node is determined as the target differential model; if the target boundary information is the boundary information that matches the internal active node, the differential model that satisfies the internal active node is determined as the target differential model; if the target boundary information is the boundary information that matches the internal grounding node, the differential model that satisfies the internal grounding node is determined as the target differential model; if the target boundary information is the boundary information that matches the upper boundary grounding node, The differential model that satisfies the upper boundary grounding node is determined as the target differential model; if the target boundary information is the boundary information matched by the upper boundary insulation node, the differential model that satisfies the upper boundary insulation node is determined as the target differential model; if the target boundary information is the boundary information matched by the lower boundary grounding node, the differential model that satisfies the lower boundary grounding node is determined as the target differential model; if the target boundary information is the boundary information matched by the lower boundary insulation node, the differential model that satisfies the lower boundary insulation node is determined as the target differential model. This is only an example and is not specifically limited.

[0060] As an optional implementation manner, based on the target boundary information, determining the target differential model includes: adjusting the initial differential model according to the target boundary information to obtain the target differential model.

[0061] In this embodiment, after determining the target boundary information that matches the type, the initial differential model is adjusted according to the target boundary information to obtain the target differential model. Optionally, based on the determination of the target boundary information, if the target boundary information is the boundary information that matches the internal passive nodes, the initial differential model is adjusted to obtain a differential model that satisfies the internal passive nodes, and the differential model is determined as the target differential model; if the target boundary information is the boundary information that matches the internal active nodes, the initial differential model is adjusted to obtain a differential model that satisfies the internal active nodes, and the differential model is determined as the target differential model; if the target boundary information is the boundary information that matches the internal grounding nodes, the initial differential model is adjusted to obtain a differential model that satisfies the internal grounding nodes, and the differential model is determined as the target differential model; if the target boundary information is the boundary information that matches the upper boundary grounding nodes, the initial differential model is adjusted. By adjusting the initial differential model, a differential model that satisfies the upper boundary grounding node can be obtained, and the differential model is determined as the target differential model; if the target boundary information is the boundary information matched by the upper boundary insulation node, the initial differential model is adjusted to obtain a differential model that satisfies the upper boundary insulation node, and the differential model is determined as the target differential model; if the target boundary information is the boundary information matched by the lower boundary grounding node, the initial differential model is adjusted to obtain a differential model that satisfies the lower boundary grounding node, and the differential model is determined as the target differential model; if the target boundary information is the boundary information matched by the lower boundary insulation node, the initial differential model is adjusted to obtain a differential model that satisfies the lower boundary insulation node, and the differential model is determined as the target differential model. This is only an example and is not specifically limited.

[0062] Optionally, the initial differential model can be determined by the following equations (1) to (10). In which, by substituting the following equation (6) into the following equations (2), (3) and (4), three differential equations of nodes shown in the following equations (7), (8) and (9) can be obtained, and the following equation (5) can be transformed to the following equation (10):

[0063]

[0064]

[0065] I x(i,j,k) (t)+I y(i,j,k) (t)+I z(i,j,k) (t) = I x(i-1,j,k) (t)+I y(i,j-1,k) (t)+I z(i,j,k-1) (t)+I in (t) (5)

[0066]

[0067] I x(i,j,k) [n]+I y(i,j,k) [n]+I z(i,j,k) [n]=I x(i-1,j,k) [n]+I y(i,j-1,k) [n]+I z(i,j,k-1) [n]+I in [n] (10)

[0068] Among them, U (i,j,k) Can be used to represent the voltage at a node, I x(i,j,k) ,I y(i,j,k) and I z(i,j,k) It can be used to represent the current flowing into three impedance branches, It can be used to represent the basic operation operator of fractional calculus, a can be used to represent the upper limit of the operation operator, t can be used to represent the lower limit of the operation operator, α can be used to represent the calculus / integration order, R can be used to represent the resistance of the grid, C can be used to represent the capacitance of the grid, U (i+1,j,k) , U (i,j+1,k) and U (i,j,k+1) Can be used to represent the node voltage of adjacent cells, I x( i -1,j,k) ,I y(i,j-1,k) and I z(i,j,k-1) Can be used to represent the impedance branch current of adjacent units, I in It can be used to represent the current injected into the node from the outside. If the node is a passive node, I in (t) = 0. z can be used to represent a complex variable. n can be used to represent the count of a sampling time point.

[0069] Optionally, if the target boundary information is boundary information matched by the internal active node, the initial differential model is adjusted to obtain a differential model that satisfies the internal active node, and the differential model is determined as the target differential model, which can be achieved by the following formula (11), that is, the boundary information represented by the above formula (10) is adjusted to the boundary information represented by the following formula (11):

[0070] U (i,j,k) [n]=U in [n] (11)

[0071] Optionally, if the target boundary information is boundary information matched by the internal ground node, the initial differential model is adjusted to obtain a differential model that satisfies the internal ground node, and the differential model is determined as the target differential model, which can be achieved by the following formula (12). That is, the boundary information represented by the above formula (10) is adjusted to the boundary information represented by the following formula (12):

[0072] U (i,j,k) [n] = 0 (12)

[0073] Optionally, if the target boundary information is the boundary information matched by the upper boundary grounding node, the initial differential model is adjusted to obtain a differential model that satisfies the upper boundary grounding node, and the differential model is determined as the target differential model, which can be implemented by formulas (1), (13), (8), (9) and (10), or by formulas (1), (7), (14), (9) and (10), or by formulas (1), (7), (8), (15) and (10). That is, on the basis of adjusting the boundary information represented by the above formula (10) to the boundary information represented by the above formula (12), if the node is located at the x-axis boundary, that is, i = M, then there is a boundary condition U (i+1,j,k) (t) = 0, the above equation (7) is converted into the following equation (13), where U (i,j,k) (t) = 0, the following formula (13) is actually equivalent to I x(i,j,k) (t) = 0. If the node is located at the boundary of the y-axis, that is, j = N, then there is a boundary condition U (i,j+1,k) (t) = 0, converting the above equation (8) into the following equation (14). If the node is located at the boundary of the z-axis, that is, k = L, then there is a boundary condition U (i,j,k+1) =0, convert the above formula (9) into the following formula (15):

[0074]

[0075]

[0076] Optionally, if the target boundary information is the boundary information matched by the upper boundary insulation node, the initial differential model is adjusted to obtain a differential model that satisfies the upper boundary insulation node, and the differential model is determined as the target differential model, which can be implemented by formulas (1), (16), (8), (9) and (10), or by formulas (1), (7), (17), (9) and (10), or by formulas (1), (7), (8), (18) and (10). That is, if the node is located at the x-axis boundary, that is, i = M, then there is a boundary condition I x(M,j,k) (t) = 0, converting the above equation (7) into the following equation (16). If the node is located at the boundary of the y-axis, that is, j = N, then there is a boundary condition I y(M,j,k) (t) = 0, converting the above equation (8) into the following equation (17). If the node is located at the boundary of the z-axis, that is, k = L, then there is a boundary condition I z(M,j,k)(t) = 0, the above formula (9) is converted into the following formula (18), thereby using the target difference model to predict the properties of the leakage current in the process of flowing into the conductive medium, and the property prediction result can be obtained:

[0077] I x(i,j,k) [n] = 0 (16)

[0078] I y(i,j,k) [n] = 0 (17)

[0079] I z(i,j,k) [n] = 0 (18)

[0080] Optionally, if the target boundary information is boundary information matched by the lower boundary grounding node, the initial differential model is adjusted to obtain a differential model that satisfies the lower boundary grounding node, and the differential model is determined as the target differential model, which can be achieved by the above formulas (12), (7), (8) and (9).

[0081] Optionally, if the target boundary information is the boundary information matched by the lower boundary insulation node, the initial differential model is adjusted to obtain a differential model that satisfies the lower boundary insulation node, and the differential model is determined as the target differential model, which can be achieved by the above equations (7), (8), (9) and (10). Among them, if the node is the lower boundary of the x-axis unit (i=1), the current flowing into the (1, j, k) node is only I y(1,j-1,k) and I z(1,j,k-1) Since this node is insulated and there is no external current injection, the boundary conditions of this node include I x(i-1,j,k) (t) = 0, it is necessary to replace I x(i-1,j,k) [n] is set to 0; if the node is the lower boundary of the y-axis unit (j = 1), the boundary conditions of the node include I y(i,j-1,k) (t) = 0, it is necessary to replace I y(i,j-1,k) [n] is set to 0; if the node is the lower boundary of the z-axis element (k = 1), the boundary conditions of the node include I z(i,j,k-1) (t) = 0, it is necessary to replace I z(i,j,k-1) [n] is set to 0.

[0082] As an optional implementation method, step S103 uses a target differential model to predict the properties of the leakage current in the process of flowing to the conductive medium to obtain a property prediction result, including: determining the resistance and capacitance in the power system; inputting the resistance and capacitance into the target differential model; predicting the properties in the target differential model to obtain a property prediction result.

[0083] In this embodiment, after determining the target differential model of at least one node in a plurality of impedance branches based on the flow direction of the conductive medium, the resistance and capacitance in the power system are determined. Optionally, this embodiment detects the resistance and capacitance in the power system based on the determination of the target differential model, thereby determining the resistance and capacitance in the power system.

[0084] In this embodiment, after the resistance and capacitance in the power system are determined, the resistance and capacitance are input into the target differential model. Optionally, in this embodiment, based on the resistance and capacitance in the power system being determined, the current flowing through each of the plurality of impedance branches, the voltage of each of the plurality of impedance branches, and the determined resistance and capacitance are input into the target differential model.

[0085] In this embodiment, after the resistance and capacitance are input into the target differential model, the properties are predicted in the target differential model to obtain the property prediction results. Optionally, this embodiment uses the target differential model after inputting the above-mentioned current, the above-mentioned voltage, the above-mentioned resistance and the above-mentioned capacitance to predict the properties of the leakage current in the process of flowing to the conductive medium, and the property prediction results can be obtained. For example, the circuit range through which the leakage current passes in the process of flowing to the conductive medium, and the impact of the leakage current on the power system in the process of flowing to the conductive medium can be obtained. This is only an example for illustration and is not specifically limited.

[0086] As an optional implementation method, the impedance branch includes: a first impedance branch, a second impedance branch and a third impedance branch, the direction of the first impedance branch is perpendicular to the direction of the second impedance branch and perpendicular to the direction of the third impedance branch, the direction of the second impedance branch is perpendicular to the direction of the first impedance branch and perpendicular to the direction of the third impedance branch, and the direction of the third impedance branch is perpendicular to the direction of the first impedance branch and perpendicular to the direction of the second impedance branch.

[0087] In this embodiment, the direction in which the first impedance branch is located may be perpendicular to the direction in which the second impedance branch is located, and the direction in which the first impedance branch is located may be perpendicular to the direction in which the third impedance branch is located. The direction in which the second impedance branch is located may be perpendicular to the direction in which the first impedance branch is located, and the direction in which the second impedance branch is located may be perpendicular to the direction in which the third impedance branch is located. The direction in which the third impedance branch is located may be perpendicular to the direction in which the first impedance branch is located, and the direction in which the third impedance branch is located may be perpendicular to the direction in which the second impedance branch is located.

[0088] In this embodiment, the first impedance branch, the second impedance branch and the third impedance branch can be represented by a three-dimensional coordinate system, wherein the first impedance branch can be represented by an x-axis, the second impedance branch can be represented by a y-axis, and the third impedance branch can be represented by a z-axis, which is only used as an example and is not specifically limited.

[0089] In an embodiment of the present invention, when predicting the properties of the current in the conductive medium, the conductive medium to which the leakage current in the power system flows can be obtained. According to at least one node in the multiple impedance branches to which the conductive medium flows, the target differential model of the node can be determined. Using the determined target differential model, the properties of the leakage current in the process of flowing to the above-mentioned conductive medium are predicted, and the property prediction result can be obtained, that is, the circuit range through which the leakage current passes in the process of flowing to the conductive medium, and the impact of the leakage current on the power system in the process of flowing to the conductive medium can be obtained, thereby achieving the purpose of accurately capturing the real characteristics of the current in the conductive medium, thereby solving the technical problem of low accuracy of the property prediction of the current in the conductive medium, and then achieving the technical effect of improving the accuracy of the property prediction of the current in the conductive medium.

[0090] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0091] In the power system, due to equipment insulation failure or external reasons, current will flow to conductive media such as water, thus generating leakage current. However, the generated leakage current will cause varying degrees of harm to the power supply of the power system. Therefore, it is crucial to analyze the propagation path and impact range of the leakage current in the conductive medium.

[0092] However, in the related art, it is often impossible to accurately capture the true characteristics of the current in the conductive medium, resulting in a technical problem of low accuracy in predicting the properties of the current in the conductive medium.

[0093] In order to solve the above technical problems, an embodiment of the present invention proposes a method for predicting the properties of current in a conductive medium. According to at least one node in multiple impedance branches of the conductive medium to which the leakage current in the power system flows, a target differential model of the node can be determined, and the properties of the leakage current in the process of flowing to the conductive medium can be predicted using the target differential model. The property prediction result can be obtained, thereby achieving the purpose of accurately capturing the real characteristics of the current in the conductive medium, thereby solving the technical problem of low accuracy of the property prediction of the current in the conductive medium, and further achieving the technical effect of improving the accuracy of the property prediction of the current in the conductive medium.

[0094] In this embodiment, a tetrahedron can be represented by a three-dimensional network node, and the basic unit of the water body can be the above tetrahedron. For example, FIG2(a) is a schematic diagram of a three-dimensional network node connection according to an embodiment of the present invention. As shown in FIG2(a), the smallest tetrahedron is the basic unit of the water body, and each unit is labeled (i, j, k). The positive direction of the x, y, and z coordinate axes is the label, and i, j, and k are increasing directions.

[0095] In this embodiment, the state vector of each unit can be as shown in FIG. 2( b), which is a schematic diagram of a basic unit of an equivalent model according to an embodiment of the present invention. Each node is connected to three resistors. The state vector of each unit can be expressed as θ(t)=[U (i,j,k) (t),I x(i,j,k) (t),I y(i,j,k) (t),I z(i,j,k) (t)] T To express.

[0096] In this embodiment, the impedance branch model can be as shown in Figure 3(a), which is a schematic diagram of an impedance branch model according to an embodiment of the present invention, using a parallel combination of resistors and fractional-order capacitors to represent the impedance branch model.

[0097] In this embodiment, the internal node in the impedance branch can be as shown in Figure 3(b), which is a schematic diagram of an internal node in an impedance branch according to an embodiment of the present invention. The above-mentioned internal node can be used to represent a node located inside the network, and the above-mentioned internal node is the part selected by the dotted box.

[0098] In this embodiment, the internal passive nodes in the impedance branch can be realized by the above equations (1), (7), (8), (9) and (10), and the properties of the leakage current in the process of flowing into the conductive medium are predicted.

[0099] In this embodiment, the internal grounding node in the impedance branch can be realized by the above equations (1), (7), (8), (9) and (11), and the properties of the leakage current in the process of flowing into the conductive medium are predicted.

[0100] In this embodiment, the internal grounding node in the impedance branch can be realized by the above equations (1), (7), (8), (9) and (12), and the properties of the leakage current in the process of flowing into the conductive medium are predicted.

[0101] Optionally, the fractional differential operator Unify fractional integration and differentiation together, when Re(α)>0, It can represent fractional differentials. When Re(α)<0, It can represent fractional integrals. When α is a positive integer n, It is possible to express the nth-order derivative of the function f(t). Therefore, integer-order calculus is a special case of fractional-order calculus.

[0102] In this embodiment, the upper boundary node in the impedance branch can be as shown in Figure 3(c), which is a schematic diagram of an upper boundary node in an impedance branch according to an embodiment of the present invention. The above-mentioned upper boundary node can be used to represent an edge node located at a network number (for example, represented by i, j or k) with a maximum value, and the above-mentioned upper boundary node is the part selected by the dotted box.

[0103] In this embodiment, the upper boundary grounding node in the impedance branch can be as shown in FIG3(d), which is a schematic diagram of an upper boundary grounding node in an impedance branch according to an embodiment of the present invention, and the upper boundary grounding node is the portion selected by the dashed box. On the basis of adjusting the boundary information represented by formula (10) to the boundary information represented by formula (12), if the node is located at the x-axis boundary, that is, i=M, then there is a boundary condition U (i+1,j,k) (t) = 0, converting formula (7) into formula (13), where, considering U (i,j,k) (t) = 0, formula (13) is actually equivalent to I x(i,j,k) (t) = 0. If the node is located at the boundary of the y-axis, that is, j = N, then there is a boundary condition U (i,j+1,k) (t) = 0, converting formula (8) to formula (14). If the node is located at the boundary of the z-axis, that is, k = L, then there is a boundary condition U (i,j,k+1) =0, convert formula (9) into formula (15).

[0104] In this embodiment, the upper boundary insulation node in the impedance branch can be as shown in FIG3(e), which is a schematic diagram of an upper boundary insulation node in an impedance branch according to an embodiment of the present invention, and the upper boundary insulation node is the portion selected by the dashed box. If the node is located at the x-axis boundary, that is, i=M, then there is a boundary condition I x(M,j,k) (t) = 0, converting formula (7) to formula (16). If the node is located at the boundary of the y-axis, that is, j = N, then there is a boundary condition I y(M,j,k) (t) = 0, converting formula (8) to formula (17). If the node is located at the boundary of the z-axis, that is, k = L, then there is a boundary condition I z(M,j,k) (t)=0, formula (9) is converted into formula (18), thereby using the target differential model to predict the properties of the leakage current in the process of flowing into the conductive medium, and the property prediction result can be obtained.

[0105] In this embodiment, the lower boundary grounding node in the impedance branch can be realized by the above equations (12), (7), (8) and (9), and the properties of the leakage current in the process of flowing to the conductive medium are predicted.

[0106] In this embodiment, the lower boundary insulation node in the impedance branch can be as shown in FIG3(f), which is a schematic diagram of a lower boundary insulation node in an impedance branch according to an embodiment of the present invention, and the lower boundary insulation node is the portion selected by the dashed box. If the node is the lower boundary of the x-axis unit (i=1), the current flowing into the (1, j, k) node is only I y(1,j-1,k) and I z(1,j,k-1) Since this node is insulated and there is no external current injection, the boundary conditions of this node include I x(i-1,j,k) (t) = 0, it is necessary to replace I x(i-1,j,k) [n] is set to 0; if the node is the lower boundary of the y-axis unit (j = 1), the boundary conditions of the node include I y(i,j-1,k) (t) = 0, it is necessary to replace I y(i,j-1,k) [n] is set to 0; if the node is the lower boundary of the z-axis element (k = 1), the boundary conditions of the node include I z(i,j,k-1) (t) = 0, it is necessary to replace I z(i,j,k-1) [n] is set to 0.

[0107] In this embodiment, according to at least one node in a plurality of impedance branches of a conductive medium to which leakage current in a power system flows, a target differential model of the node can be determined, and the properties of the leakage current in the process of flowing to the conductive medium can be predicted using the target differential model, and a property prediction result can be obtained, thereby achieving the purpose of accurately capturing the true characteristics of the current in the conductive medium, thereby solving the technical problem of low accuracy in property prediction of the current in the conductive medium, and further achieving the technical effect of improving the accuracy of property prediction of the current in the conductive medium.

[0108] In this embodiment, the state vector θ of each node in the impedance network has a total of 8 states to be determined. According to the type of each node, 8 equations (basic equations + boundary conditions) can be listed for each node. By combining the equations of each node, the linear equation group AX=Y of the entire impedance network can be obtained. Among them, X can be formed by arranging and connecting the state vectors of each node, X=[θ (1,1,1) T ,θ (2,1,1) T ,…,θ (M,1,1) T ,θ (1,2,1) T ,…,θ (1,N,1) T,…,θ (M,N,1) T ,θ (1,1,2) T ,…,θ (M,N,L) T ] T , with a total of 8×M×N×L rows. A is a matrix composed of the coefficients of the linear equations (8MNL×8MNL). Since the state of each node is only related to the states of the nodes adjacent to it, the matrix A is a sparse matrix. Y can be a vector composed of the items in the linear equations except the state vector. Y can include node voltages, branch currents, external power supply voltages, etc. at past time points. Solving the linear equations AX=Y can obtain a unique solution for the state of each node.

[0109] In this embodiment, the active node and the ground node may have an external injection current I in(i,j,k) (t), after calculating the state variables of each node, the external injection current of each node can be calculated according to the following formula (19):

[0110] I x(i,j,k) [n]+I y(i,j,k) [n]+I z(i,j,k) [n]-I x(i-1,j,k) [n]-I y(i,j-1,k) [n]-I z(i,j,k-1) [n]=I in [n] (19)

[0111] According to an embodiment of the present invention, a device for predicting properties of current in a conductive medium is also provided. It should be noted that the device for predicting properties of current in a conductive medium can be used to execute a method for predicting properties of current in a conductive medium in an embodiment.

[0112] Figure 4 Schematic diagram of a device for predicting properties of electric current in a conductive medium according to an embodiment of the present invention. Figure 4 As shown, the device 400 for predicting properties of electric current in a conductive medium may include: an acquiring unit 401 , a determining unit 402 , and a predicting unit 403 .

[0113] The acquisition unit 401 is used to acquire the conductive medium to which the leakage current in the power system flows.

[0114] The determination unit 402 is used to determine a target differential model of a node based on at least one node in a plurality of impedance branches in which the conductive medium flows, wherein the target differential model is used to at least represent a mapping relationship between currents flowing through each of the plurality of impedance branches and voltages in each of the plurality of impedance branches.

[0115] The prediction unit 403 is used to use the target differential model to predict the properties of the leakage current in the process of flowing to the conductive medium, and obtain a property prediction result, wherein the property prediction result at least includes the circuit range passed by the leakage current in the process of flowing to the conductive medium, and the impact of the leakage current on the power system in the process of flowing to the conductive medium.

[0116] Optionally, the determination unit 402 may include: a first determination module, used to determine the type of the node; and a second determination module, used to determine the target differential model based on the type.

[0117] Optionally, the second determination module may include: a first determination submodule, used to determine target boundary information matching the type, wherein the target boundary information is used to represent electrical characteristics at the node; and a second determination submodule, used to determine a target differential model based on the target boundary information.

[0118] Optionally, the second determination submodule may determine the target differential model based on the target boundary information by performing the following steps: adjusting the initial differential model according to the target boundary information to obtain the target differential model.

[0119] Optionally, the prediction unit 403 may include: a third determination module, used to determine the resistance and capacitance in the power system; an input module, used to input the resistance and capacitance into the target differential model; and a prediction module, used to predict the attributes in the target differential model to obtain attribute prediction results.

[0120] Optionally, the impedance branch may include: a first impedance branch, a second impedance branch and a third impedance branch, the direction of the first impedance branch is perpendicular to the direction of the second impedance branch and perpendicular to the direction of the third impedance branch, the direction of the second impedance branch is perpendicular to the direction of the first impedance branch and perpendicular to the direction of the third impedance branch, and the direction of the third impedance branch is perpendicular to the direction of the first impedance branch and perpendicular to the direction of the second impedance branch.

[0121] In this embodiment, an acquisition unit is used to acquire the conductive medium to which the leakage current in the power system flows; a determination unit is used to determine a target differential model of a node based on at least one node in a plurality of impedance branches to which the conductive medium flows, wherein the target differential model is used to at least represent a mapping relationship between currents flowing through each of the plurality of impedance branches and voltages in each of the plurality of impedance branches; a prediction unit is used to predict the properties of the leakage current in the process of flowing to the conductive medium using the target differential model, and obtain a property prediction result, wherein the property prediction result includes at least a circuit range through which the leakage current passes in the process of flowing to the conductive medium, and an impact result of the leakage current on the power system in the process of flowing to the conductive medium, thereby achieving the purpose of accurately capturing the true characteristics of the current in the conductive medium, thereby solving the technical problem of low accuracy in property prediction of the current in the conductive medium, and further achieving the technical effect of improving the accuracy in property prediction of the current in the conductive medium.

[0122] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run by the processor, the method for predicting properties of current in a conductive medium in the embodiment is executed.

[0123] According to an embodiment of the present invention, an electronic device is also provided, including: a memory storing an executable program; and a processor for running the program, wherein the method for predicting properties of current in a conductive medium in the embodiment is executed when the program is running.

[0124] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the method for predicting the property of current in a conductive medium in the embodiment.

[0125] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes a computer program. When the computer program is executed by a processor, the method for predicting properties of current in a conductive medium in the embodiment is implemented.

[0126] According to an embodiment of the present invention, a computer program product is also provided, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium is used to store a computer program, and when the computer program is executed by a processor, the method for predicting properties of current in a conductive medium in the embodiment is implemented.

[0127] According to an embodiment of the present invention, a computer program is further provided. When the computer program is executed by a processor, the method for predicting properties of electric current in a conductive medium in the embodiment is implemented.

[0128] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0129] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0130] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0131] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0132] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0133] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the relevant technology or the whole or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, referred to as Read-Only Memory), random access memory (RAM, referred to as Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0134] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for predicting properties of electric current in a conductive medium, characterized in that: include: Obtain the conductive medium to which the leakage current in the power system flows; Determine a target differential model of at least one node in the plurality of impedance branches in which the conductive medium flows, wherein the target differential model is used to at least represent a mapping relationship between currents flowing through each of the plurality of impedance branches and voltages in each of the plurality of impedance branches; The target differential model is used to predict the properties of the leakage current in the process of flowing to the conductive medium to obtain a property prediction result, wherein the property prediction result at least includes the circuit range through which the leakage current passes in the process of flowing to the conductive medium, and the impact of the leakage current on the power system in the process of flowing to the conductive medium.

2. The method according to claim 1, characterized in that Determining a target differential model of at least one node in a plurality of impedance branches in the direction in which the conductive medium flows comprises: Determining the type of the node; Based on the type, the target difference model is determined.

3. The method according to claim 2, characterized in that Based on the type, determining the target difference model includes: Determining target boundary information matching the type, wherein the target boundary information is used to represent electrical characteristics at the node; Based on the target boundary information, the target differential model is determined.

4. The method according to claim 3, characterized in that Determining the target differential model based on the target boundary information includes: The initial differential model is adjusted according to the target boundary information to obtain the target differential model.

5. The method according to claim 1, characterized in that The target differential model is used to predict the properties of the leakage current in the process of flowing to the conductive medium, and a property prediction result is obtained, including: determining resistance and capacitance in the power system; Inputting the resistor and the capacitor into the target differential model; In the target differential model, the attribute is predicted to obtain the attribute prediction result.

6. The method according to any one of claims 1 to 5, characterized in that The impedance branch includes: a first impedance branch, a second impedance branch and a third impedance branch. The direction of the first impedance branch is perpendicular to the direction of the second impedance branch and perpendicular to the direction of the third impedance branch. The direction of the second impedance branch is perpendicular to the direction of the first impedance branch and perpendicular to the direction of the third impedance branch. The direction of the third impedance branch is perpendicular to the direction of the first impedance branch and perpendicular to the direction of the second impedance branch.

7. A device for predicting properties of electric current in a conductive medium, characterized in that: include: An acquisition unit, used for acquiring a conductive medium to which a leakage current in a power system flows; A determination unit, configured to determine a target differential model of at least one node in a plurality of impedance branches in which the conductive medium flows, wherein the target differential model is configured to at least represent a mapping relationship between currents flowing through each of the plurality of impedance branches and voltages in each of the plurality of impedance branches; A prediction unit is used to use the target differential model to predict the properties of the leakage current in the process of flowing to the conductive medium, and obtain a property prediction result, wherein the property prediction result at least includes a circuit range passed by the leakage current in the process of flowing to the conductive medium, and an impact result of the leakage current on the power system in the process of flowing to the conductive medium.

8. A processor, characterized in that: The processor is used to run a program, wherein the program, when run by the processor, executes the method for predicting properties of electric current in a conductive medium as claimed in any one of claims 1 to 6.

9. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein the program, when running, executes the method for predicting properties of electric current in a conductive medium as described in any one of claims 1 to 6.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored executable program, wherein when the executable program is executed, the device where the storage medium is located is controlled to execute the method for predicting properties of current in a conductive medium as claimed in any one of claims 1 to 6.

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