CN117007901A - Joint fault diagnosis method and system based on power transmission line topology - Google Patents
Joint fault diagnosis method and system based on power transmission line topology Download PDFInfo
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/08—Locating faults in cables, transmission lines, or networks
- G01R31/081—Locating faults in cables, transmission lines, or networks according to type of conductors
- G01R31/083—Locating faults in cables, transmission lines, or networks according to type of conductors in cables, e.g. underground
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- G01R31/52—Testing for short-circuits, leakage current or ground faults
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Abstract
The invention relates to the technical field of power transmission lines, and provides a joint fault diagnosis method and system based on power transmission line topology, wherein the method comprises the following steps: acquiring an inter-circuit mutual inductance coefficient, a correction coefficient of the mutual inductance coefficient, monitoring data and time stamps of the monitoring data; the monitoring data comprise ground current values, line load current values and fault recording data at two sides of the joint; correcting the grounding current value and fault record data of two sides of the joint based on the mutual inductance coefficient, the correction coefficient and the line load current value; based on the corrected data and the time stamp, the health of the joint is diagnosed. And the false alarm of the joint fault is avoided.
Description
Technical Field
The invention belongs to the technical field of power transmission lines, and particularly relates to a joint fault diagnosis method and system based on a power transmission line topology.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The high-voltage cable connector is an important potential safety hazard point in a high-voltage cable transmission link, the operation stability of the high-voltage cable connector is influenced by a plurality of factors such as connector accessory materials, construction process and the like, operation faults such as breakdown, explosion and the like can be possibly generated, and fire disasters can be seriously caused to cause larger losses. Therefore, the cable joint needs to be subjected to multi-means, multi-dimensional and full-path real-time monitoring and fault diagnosis evaluation and early warning measures.
The connector of the power transmission line can be provided with various real-time on-line monitoring devices, such as high-frequency partial discharge monitoring, fault wave recording current monitoring, matrix temperature measurement, optical fiber temperature measurement, infrared camera shooting and the like, each type of detection device can acquire one type or a group of monitoring data, and analyze one type of alarm or early warning according to the acquired data, and the common algorithm comprises an acquisition value absolute value over-threshold algorithm, a current value inter-phase ratio threshold, a ground load ratio threshold and the like.
However, because a plurality of power transmission cables are often laid in the same space (for example, laid in the same side bridge frame or the same pipe ditch of a tunnel), the core running current difference between different lines is large, the sheath induction current values have an influence on each other, so that the sheath induction current values of joints at different positions of the same cable line are also large, under the condition, the conclusion drawn by the single joint analysis mode is not accurate any more, and false alarm is easy to generate.
Disclosure of Invention
In order to solve the technical problems in the background art, the invention provides a joint fault diagnosis method and system based on the topology of an electric power transmission line, which introduce mutual inductance coefficients among lines, correct collected data and avoid false alarm of joint faults.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
the first aspect of the invention provides a joint fault diagnosis method based on electric power transmission line topology, comprising the following steps:
acquiring an inter-circuit mutual inductance coefficient, a correction coefficient of the mutual inductance coefficient, real-time online monitoring data and time stamps of all monitoring data; the real-time online monitoring data comprise ground current values, line load current values and fault recording data at two sides of the joint;
correcting the grounding current value and fault record data of two sides of the joint based on the mutual inductance coefficient, the correction coefficient and the line load current value;
based on the corrected data and the time stamp, the health of the joint is diagnosed.
Further, the corrected single-phase unilateral claw grounding current value at the joint n of a certain line is as follows:wherein Ri represents the load current of the ith line influencing the line joint n, mi represents the mutual inductance coefficient generated by the ith line on the single-side sheep horn of the joint n, cn is the single-phase single-side sheep horn grounding current acquisition value at the joint n, a i And b i A correction factor for the mutual inductance of the ith line that affects the line tap n. Further, corrected single-phase fault recording data at the joint n of a certain line are as follows:
where Ri represents the load current of the i-th line that affects the line, |mi 1 ×a 1 +b 1 -Mi 2 ×a 2 -b 2 The I represents the absolute value of the difference value of mutual inductance coefficients generated by the sheep horns on two sides of the butt joint n of the ith line, the Vn is the acquisition value of single-phase fault recording data at the joint n, mi 1 And Mi 2 Mutual inductance coefficients, a, respectively generated by left and right sheep horns of an ith line butt joint n 1 And b 1 Correction coefficient a for mutual inductance coefficient of left goat's horn of i line butt joint n 2 And b 2 And (5) correcting the mutual inductance coefficient of the right goat's horn of the butt joint n of the ith line.
Further, calculating a ground load ratio and a ground current phase ratio based on the line load current value, the corrected ground current value and the fault recording data;
under the condition that the ground current inter-phase data acquisition time difference and the ground load acquisition data time difference meet the pre-condition, comparing the ground current value, the ground load ratio and the ground current inter-phase ratio with set values to obtain diagnosis results of the ground current value and the recording data peak value.
Further, the monitoring data also comprises temperature measurement data;
calculating the highest value of each phase at the joint, the average value of the ambient temperature, the phase-to-phase temperature difference of the joint and the ambient temperature difference of the joint based on the temperature measurement data;
and under the condition that the interphase time difference and the optical fiber and environment data time difference meet the precondition, comparing the highest value of each phase at the joint, the average value of the environment temperature, the interphase temperature difference of the joint and the environment temperature difference of the joint with a set value to obtain a diagnosis result of temperature measurement data.
Further, the monitoring data further comprises high-frequency partial discharge data;
and under the condition that the inter-phase time difference meets the pre-condition, comparing the high-frequency partial discharge data with a set value to obtain a diagnosis result of the high-frequency partial discharge data.
A second aspect of the present invention provides a joint fault diagnosis system based on a topology of an electric power transmission line, comprising:
a data acquisition module configured to: acquiring an inter-circuit mutual inductance coefficient, real-time online monitoring data and time stamps of all monitoring data; the monitoring data comprise ground current values, line load current values and fault recording data at two sides of the joint;
a correction module configured to: calculating the product of the load current of the line which influences the line where the joint to be diagnosed is located and the mutual inductance coefficient between the two lines, and correcting the grounding current value and fault wave recording data at the two sides of the joint by taking the product as a correction value;
a diagnostic module configured to: based on the corrected data and the time stamp, the health of the joint is diagnosed.
A third aspect of the present invention provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of a joint fault diagnosis method based on an electric power transmission line topology as described above.
A fourth aspect of the invention provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in a method for diagnosing a joint failure based on a topology of an electrical transmission line as described above when the program is executed.
Compared with the prior art, the invention has the beneficial effects that:
the invention provides a joint fault diagnosis method based on power transmission line topology, which introduces a line topology model, corrects collected data and avoids false alarm.
The invention provides a joint fault diagnosis method based on a power transmission line topology, which utilizes various detection types to diagnose in multiple dimensions and avoids diagnosis errors caused by single-point faults.
The invention provides a joint fault diagnosis method based on a power transmission line topology, which is used for diagnosing faults in real time according to real-time collected data, giving early warning and avoiding larger accidents.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the invention.
Fig. 1 is a flowchart of a joint fault diagnosis method based on a topology of an electric power transmission line according to a first embodiment of the present invention;
FIG. 2 is a diagram illustrating an exemplary wiring relationship according to a first embodiment of the present invention;
fig. 3 is a diagram illustrating a topology of a circuit and connector claw and a grounding network according to a first embodiment of the present invention;
fig. 4 is a diagram showing an example of a spatial relationship between laying lines according to the first embodiment of the present invention.
Detailed Description
The invention will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
Example 1
The embodiment provides a joint fault diagnosis method based on a power transmission line topology, as shown in fig. 1, which specifically includes the following steps:
step 1, establishing a topological graph of related lines near an intermediate joint, and calculating mutual inductance coefficients between the lines and correction coefficients of the mutual inductance coefficients;
step 2, collecting various types of monitoring data: the current value of the sheep horns at the two sides of the joint, the load current value of the transmission line, fault wave recording data, high-frequency partial discharge data and temperature measurement data values; and (3) injection: each joint is provided with four groups of joints, and each group of joints is provided with a right-left sheep corner joint current value;
step 3, correcting the grounding current value, fault wave recording data and high-frequency partial discharge data at the joint according to the circuit topology, the mutual inductance coefficient and the correction coefficient of the mutual inductance coefficient;
and 4, diagnosing the health degree of the joint by using an absolute value, an inter-phase ratio and a load ratio threshold algorithm according to the calculated current value, and giving a diagnosis conclusion and overhaul suggestions.
The specific method of the step 1 is as follows: establishing basic data of a line and an intermediate connector and a networking topological graph thereof, wherein the basic data of the line and the connector at least comprise: the grounding type of the connector, the voltage level, the operation date, and other data such as the length of the line, the name of the line and the like are used as the necessary basic account data of the line for daily operation and maintenance management. The grounding type of the connector is divided into two types of cross interconnection grounding and direct grounding, and the voltage class is divided into 10kV, 35kV, 110kV, 220kV, 500kV and the like; as shown in fig. 2, the networking topology should at least include: geographical location trend of the line, spatial correlation parameters between other lines, geographical location of the joint. The geographical position trend of the line and the geographical position of the connector are used for distinguishing the sheep horns at two sides of the connector, the geographical position of the connector is also used for positioning the temperature value of the environmental temperature measurement, and the parameters related to the space between other lines comprise cable section definition (starting and stopping of the geographical position), space distance between sections and a separator between sections.
Based on the line ledger and the line networking topological graph, estimating the initial value M of the mutual inductance coefficient at the single-phase unilateral goat's horn of a certain joint as follows:
di is the space distance between cable sections which affects the connector claw, the value is (1, 100), the unit cm is the value of M is 0 after exceeding 100; s is the material isolation coefficient (siliceous, calcareous, etc.) of the cable section spacer, and each material takes a fixed coefficient.
The embodiment solves the problem that the number of lines which generate mutual inductance influence on the grounding current of the line connector is not more than 2, and the definition of max is = [0,2].
Firstly, under the condition of good line working condition, the number of cable segments which exert mutual inductance influence on the grounding current of the connector is assumed to be 1, and two grounding current acquisition values (respectively marked as Y) are taken from the same side at the connector which is independently paved (the mutual inductance influence of the line is removed) at the adjacent positions for a period of time 0 And Y 1 ) The current collecting value of the front joint at the same time with the front joint (respectively marked as X) 0 And X 1 ) And two simultaneous operating current values (respectively denoted as R) of the line that has a mutual inductance effect on the present joint 0 And R is 1 ) Two correction coefficients (denoted as a and b, respectively) of the mutual inductance coefficient M are calculated.
Note that: in order to achieve both data availability and practical operability, the "interval time" of data sampling is preferably not less than 10 minutes, and the sampled data are preferably different.
According to the following equation:
Y 0 ＝X 0 -(R 0 ×a×M+b)
Y 1 ＝X 1 -(R 1 ×a×M+b)
deducing:
b＝X 0 -Y 0 -(R 0 ×a×M)
in order to improve the accuracy of the correction coefficient, the steps can be repeated three times, and then average values of a and b are respectively obtained for use.
When the number of cable segments exerting mutual inductance influence on the grounding current of the joint is 2, under the condition of good line working condition, the adjacent positions are independently paved (the mutual inductance influence of the line is removed) and the joint is provided with three grounding current acquisition values (respectively recorded as Y) at the same side for a period of time 0 、Y 1 And Y 2 ) The current collecting value of the front joint at the same time with the front joint (respectively marked as X) 0 、X 1 And X 2 ) And three simultaneous operating current values (respectively denoted as R) of the first line that has a mutual inductance effect on the present joint 00 、R 01 And R is 02 ) The three simultaneous operation current values (respectively denoted as R) of the second line which has mutual inductance influence on the joint 10 、R 11 And R is 12 ) Calculate the mutual inductance (denoted as M respectively 0 And M 1 ) The correction coefficient of (respectively denoted as a 0 、b 0 、a 1 And b 1 )。
Note that: in order to achieve both data availability and practical operability, the "interval time" of data sampling is preferably not less than 10 minutes, and the sampled data are preferably different.
Wherein Y is 0 、Y 1 、Y 2 、X 0 、X 1 、X 2 、R 00 、R 01 、R 02 、R 10 、R 11 、R 12 、M 0 And M 1 All are known numbers, a 0 、b 0 、a 1 And b 1 For unknowns, the following equation is obtained:
①Y 0 ＝X 0 -(R 00 ×a 0 ×M 0 +b 0 )-(R 10 ×a 1 ×M 1 +b 1 )
②Y 1 ＝X 1 -(R 01 ×a 0 ×M 0 +b 0 )-(R 11 ×a 1 ×M 1 +b 1 )
③Y 2 ＝X 2 -(R 02 ×a 0 ×M 0 +b 0 )-(R 12 ×a 1 ×M 1 +b 1 )
the first step is to eliminate b by adding and subtracting 0 And b 1 The following equation is obtained:
④(Y 1 -Y 0 )＝(X 1 -X 0 )+(R 00 -R 01 )×a 0 ×M 0 +(R 10 -R 11 )×a 1 ×M 1 namely (2) - (1);
⑤(Y 2 -Y 0 )＝(X 2 -X 0 )+(R 00 -R 02 )×a 0 ×M 0 +(R 10 -R 12 )×a 1 ×M 1 namely (3) - (1);
from equation (4):
substituting the right part of the equal sign of the formula into the formula (5) to eliminate a 0 Calculating a 1 And then a is carried out 1 Substituting the calculation result of (a) into the formula (4) or (5) to calculate a 0 。
The second step is to a 0 And a 1 Substituting the calculation results of (1) and (2) to obtain the following equation:
c＝R 00 ×a 0 ×M 0
d＝R 10 ×a 1 ×M 1
e＝R 01 ×a 0 ×M 0
f＝R 11 ×a 1 ×M 1
to simplify the formula, parameters c, d, e and f are introduced.
⑥Y 0 ＝X 0 -c-b 0 -d-b 1
⑦Y 1 ＝X 1 -e-b 0 -f-b 1
From equation (6):
b 0 ＝X 0 -c-d-b 1 -Y 0
substituting the right part of the equal sign of the formula into the formula (7) to eliminate b 0 Calculating b 1 And then b 1 Substituting the calculated result of (2) into formula (6) or (7) to calculate b 0 。
In step 2, a plurality of kinds of monitoring data are collected through a real-time on-line monitoring terminal, and the specific steps include:
current value at joint: the current values of the sheep horns at two sides of the same joint are different due to different degrees of influence of mutual inductance, so that the current values at two sides of the sheep horns are required to be acquired respectively; collecting a single-phase grounding current value of a direct grounding joint;
load current value: collecting a core operation current value;
fault recording data: collecting medium-frequency current recording data by using low-power consumption equipment for fault screening;
high frequency partial discharge data: collecting high-frequency discharge signals at the joint for auxiliary diagnosis and analysis;
temperature measurement data: the surface layer temperature of the joint is collected by distributed optical fiber temperature measurement data, belt type temperature measurement, infrared temperature measurement and the like and is used for assisting diagnosis and analysis.
As shown in fig. 3, the situation of the line connector claw, the cross-connection box grounding and the connector direct grounding is briefly marked, a real-time acquisition terminal (including a fault wave recording collector) for the sheath current is installed at the left and right claw of each connector, a high-frequency partial discharge acquisition terminal is installed at the total grounding of the connector, and other auxiliary temperature measurement terminals, such as infrared temperature measurement equipment and distributed optical fiber temperature measurement equipment, are installed. The wire core current value is related to the whole line, and the wire core current acquisition device is installed in one set per line and is usually installed at the starting point or the end point of the line.
In the step 3, the platform corrects the grounding current value and fault wave recording data of the two sides of the joint according to the circuit topology, the mutual inductance coefficient, the correction coefficient and the circuit load current value.
As shown in fig. 3 and 4, the grounding current values of the right horn and other connectors on the right side of the 4# connector of the line 1 are obviously affected by the line 2 (the current value of the right horn of the 4# connector is obviously larger than the current value of the left horn, and the difference between the current values of the left horn and the right horn of the 3# connector is small), and the platform corrects the current of the right horn and other connectors on the right side of the 4# connector. The method comprises the following specific steps:
the following variables were set:
c=phase a right-side claw current collection value at the joint 4 of the line 1, and r=line 2 load current; m=mutual inductance coefficient of line 2 to right goat's horn of line 1's 4# joint; a and b are correction coefficients of M;
the right goat horn current value c=c- (r×a×m+b) of the phase a of the 4# connector of the correction line 1;
the following variables were set:
v=phase a fault record acquisition value at the 4# joint of the line 1, and r=line 2 load current; m=mutual inductance coefficient of line 2 to right goat's horn of line 1 # 4 joint (0 on left); a and b are correction coefficients of M;
correction line 1 4# joint phase a fault recording data value = v- (R x M x a + b)
And sequentially calculating the current values and recording data values of other connectors.
The high-frequency partial discharge data is converted from discharge high-frequency signals, and the influence of line mutual inductance is ignored;
the temperature measurement data is not affected by the mutual inductance of the circuit, and correction is not needed.
The corrected single-phase unilateral claw grounding current value at the joint n of a certain line is as follows:wherein Ri represents the load current of the ith line influencing the line joint n, mi represents the mutual inductance coefficient generated by the unilateral sheep horn of the ith line to the joint n, cn is the single-phase unilateral sheep horn grounding current acquisition value at the joint n, a i And b i A correction factor for the mutual inductance of the ith line that affects the line connector n.
The corrected single-phase fault recording data at the joint n of a certain line are as follows:
where Ri represents the load current of the i-th line that affects the line, |mi 1 ×a 1 +b 1 -Mi 2 ×a 2 -b 2 The I represents the absolute value of the difference value of mutual inductance coefficients generated by the sheep horns on two sides of the butt joint n of the ith line, the Vn is the acquisition value of single-phase fault recording data at the joint n, mi 1 And Mi 2 Mutual inductance coefficients, a, respectively generated by left and right sheep horns of an ith line butt joint n 1 、b 1 、a 2 And b 2 And the correction coefficients are respectively the mutual inductance coefficients of the left and right sheep horns of the butt joint n of the ith line.
In step 4, the platform performs diagnosis according to the corrected data, and the specific steps include:
calculating a grounding load ratio and a grounding current phase ratio based on the line load current value, the corrected grounding current value and fault recording data; under the condition that the ground current inter-phase data acquisition time difference and the ground load acquisition data time difference meet the pre-condition, comparing the ground current value, the ground load ratio and the ground current inter-phase ratio with set values to obtain diagnosis results of the ground current value and the recording data peak value. Specifically, a diagnosis model of a ground current value and a recording data peak value:
1) Model entry: c=ground current value (or ground current fault record peak value), cr=ground load ratio, cc=ground current (or ground current fault record peak value) inter-phase ratio, [ c1=ground current safety value (or ground current fault record peak value) ], [ c2=ground current attention value (or ground current fault record attention value) ], [ c3=ground current defect value (or ground current fault record defect value) ], [ cr1=ground load safety ratio ], [ cr2=ground load attention ratio ], [ cr3=ground load defect ratio ], [ cc1=ground inter-phase safety ratio ], [ cc2=ground inter-phase attention ratio ], [ cc3=ground defect ratio ], and time stamps for the collected values;
2) Model yielding parameters: 0 = normal; 1 = early warning; 2 = alert; 3 = defect;
3) The pre-condition is as follows: the time difference of the data acquisition between the grounding currents is smaller than 1 minute, and the time difference of the data acquisition of the grounding load is smaller than 5 minutes;
4) Normal: co= (C < C1) AND (CR < CR 1) AND (CC < CC 1);
5) Early warning: cw= (c1 < = C < C2) OR (cr1 < = CR < CR 2) OR (CC 1< = CC < CC 2);
6) Alarming: ce= (c2 < = C < C3) OR (cr2 < = CR < CR 3) OR (CC 2< = CC < CC 3);
7) Defects: cf= (C > =c3) OR (CR > =cr3) OR (CC > =cc3);
8) Diagnostic output: all snapshot, conclusions of the entries (enumerated values + literal description).
Calculating the highest value of each phase at the joint (the optical fiber temperature measurement is coiled at the joint for 10 to 20 meters, and the maximum value of the temperature measurement data of the section is counted to be the highest temperature measurement value at the joint; the infrared temperature measurement is installed at the joint and has single-point or lattice temperature measurement and the highest temperature counting), the average value of the environmental temperature (the distributed optical fiber temperature measurement optical fiber is paved in a tunnel, and the average value of the temperature of the section of the tunnel is counted to be the average value of the environmental temperature), the inter-phase temperature difference of the joint and the environmental temperature difference of the joint based on the infrared matrix temperature measurement data, the infrared thermal image and the distributed optical fiber temperature measurement data; and under the condition that the interphase time difference and the optical fiber and environment data time difference meet the precondition, comparing the highest value of each phase at the joint, the average value of the environment temperature, the interphase temperature difference of the joint and the environment temperature difference of the joint with a set value to obtain a diagnosis result of temperature measurement data. Specifically, a diagnostic model of thermometry data:
1) Model entry: temperature measurement data, t=highest value of each phase at the joint, amb=average value of ambient temperature, tt=inter-joint temperature difference, ta=joint ambient temperature difference, [ t1=joint temperature safety value ], [ t2=joint temperature attention value ], [ t3=joint temperature defect value ], [ tt1=inter-joint temperature difference safety value ], [ tt2=inter-joint temperature difference attention value ], [ tt3=inter-joint temperature difference defect value ], [ TA 1=joint ambient temperature difference safety value ], [ TA 2=joint ambient temperature difference attention value ], [ TA 3=joint ambient temperature difference defect value ], and time stamp of each acquisition value;
2) Model yielding parameters: 0 = normal; 1 = early warning; 2 = alert; 3 = defect;
3) The pre-condition is as follows: when the fiber is multi-fiber, the inter-phase time difference is smaller than 5 minutes, and the time difference between the optical fiber and the environmental data is smaller than 5 minutes;
4) Normal: to= (T < T1) AND (TT < TT 1) AND (TA < TA 1);
5) Early warning: tw= (t1 < = T < T2) OR (tt1 < = TT < TT 2) OR (TA 1< = TA < TA 2);
6) Alarming: te= (t2 < = T < T3) OR (tt2 < = TT < TT 3) OR (TA 2< = TA < TA 3);
7) Defects: tf= (T > =t3) OR (TT > =tt3) OR (TA > =t3);
8) Diagnostic output: all snapshot, conclusions of the entries (enumerated values + literal description).
And under the condition that the inter-phase time difference meets the pre-condition, comparing the high-frequency partial discharge data with a set value to obtain a diagnosis result of the high-frequency partial discharge data. Specifically, the diagnosis model of the high-frequency partial discharge data:
1) Model entry: partial discharge original acquisition values, time stamps of all the acquisition values, [ P1=normal discharge probability values ], [ P2=attention discharge probability values ], and [ P3=defect discharge probability values ];
2) Model yielding parameters: 0 = normal; 1 = early warning; 2 = alert; 3 = defect;
3) The pre-condition is as follows: the inter-phase time difference is less than 5 minutes;
4) Calculating the time-frequency domain characteristics of each phase of discharge data, and calculating the discharge probability value P of each phase according to the time-frequency domain characteristics;
5) Normal: po= (P < P1);
6) Early warning: pw= (p1 < = P < P2);
7) Alarming: pe= (p2 < = P < P3);
8) Defects: pf= (P > = P3).
Diagnostic output: all snapshot, conclusions of the entries (enumerated values + literal description).
Comprehensive diagnosis model:
1) Normal: (CO) AND (TO) AND (PO);
2) Early warning: (CW) OR (TW) OR (PW);
3) Alarming: (CE) OR (TE) OR (PE);
4) Defects: (CF) OR (TF) OR (PF).
According to the joint fault diagnosis method based on the topology of the power transmission line, provided by the embodiment, an alarm or early warning conclusion is comprehensively analyzed and diagnosed by combining the topology structure of the cable line, various detection data at joints and a clock synchronization technology of a monitoring terminal; the mutual influence degree of the sheath induced currents can be predicted through the cable topological structure, the analysis and judgment problems are analyzed and judged from multiple dimensions through multiple types of monitoring data, the time-space consistency of the analysis data is guaranteed through the clock synchronization technology, and the inaccuracy of the analysis result caused by large time difference is avoided.
Example two
The embodiment provides a joint fault diagnosis system based on a power transmission line topology, which specifically comprises the following modules:
a data acquisition module configured to: acquiring an inter-circuit mutual inductance coefficient, a correction coefficient of the mutual inductance coefficient, real-time monitoring data and time stamps of the monitoring data; the monitoring data comprise ground current values, line load current values and fault recording data at two sides of the joint;
a correction module configured to: correcting the grounding current value and fault record data of two sides of the joint based on the mutual inductance coefficient, the correction coefficient and the line load current value;
a diagnostic module configured to: based on the corrected data and the time stamp, the health of the joint is diagnosed.
It should be noted that, each module in the embodiment corresponds to each step in the first embodiment one to one, and the implementation process is the same, which is not described here.
Example III
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in a joint fault diagnosis method based on an electric power transmission line topology as described in the above embodiment.
Example IV
The present embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor executes the program to implement the steps in the method for diagnosing a joint fault based on a topology of an electric power transmission line according to the first embodiment.
It will be appreciated by those skilled in the art that 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 a hardware embodiment, a 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, magnetic disk storage, 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 flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations 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.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random access Memory (Random AccessMemory, RAM), or the like.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by 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 protection scope of the present invention.
Claims (10)
1. The utility model provides a joint fault diagnosis method based on electric power transmission line topology which is characterized in that the method comprises the following steps:
acquiring an inter-circuit mutual inductance coefficient, a correction coefficient of the mutual inductance coefficient, monitoring data and time stamps of the monitoring data; the monitoring data comprise ground current values, line load current values and fault recording data at two sides of the joint;
correcting the grounding current value and fault record data of two sides of the joint based on the mutual inductance coefficient, the correction coefficient and the line load current value;
based on the corrected data and the time stamp, the health of the joint is diagnosed.
2. The method for diagnosing a joint fault based on a topology of an electric power transmission line according to claim 1, wherein the corrected single-phase unilateral claw grounding current value at the joint n of a certain line is:wherein Ri represents the load current of the ith line influencing the line joint n, mi represents the mutual inductance coefficient generated by the ith line on the single-side sheep horn of the joint n, cn is the single-phase single-side sheep horn grounding current acquisition value at the joint n, a i And b i A correction factor for the mutual inductance of the ith line that affects the line tap n.
3. The method for diagnosing a joint fault based on a topology of an electric power transmission line according to claim 1, wherein corrected single-phase fault recording data at a joint n of a certain line is:where Ri represents the load current of the i-th line that affects the line, |mi 1 ×a 1 +b 1 -Mi 2 ×a 2 -b 2 The I represents the absolute value of the difference value of mutual inductance coefficients generated by the sheep horns on two sides of the butt joint n of the ith line, the Vn is the acquisition value of single-phase fault recording data at the joint n, mi 1 And Mi 2 Mutual inductance coefficients, a, respectively generated by left and right sheep horns of an ith line butt joint n 1 And b 1 Correction coefficient a for mutual inductance coefficient of left goat's horn of i line butt joint n 2 And b 2 And (5) correcting the mutual inductance coefficient of the right goat's horn of the butt joint n of the ith line.
4. The joint fault diagnosis method based on the electric power transmission line topology according to claim 1, wherein a ground load ratio and a ground current phase ratio are calculated based on the line load current value, the corrected ground current value and the fault recording data;
under the condition that the ground current inter-phase data acquisition time difference and the ground load acquisition data time difference meet the pre-condition, comparing the ground current value, the ground load ratio and the ground current inter-phase ratio with set values to obtain diagnosis results of the ground current value and the recording data peak value.
5. A method of diagnosing a joint failure based on a topology of an electric power transmission line as recited in claim 1, wherein said monitoring data further includes thermometry data;
calculating the highest value of each phase at the joint, the average value of the ambient temperature, the phase-to-phase temperature difference of the joint and the ambient temperature difference of the joint based on the temperature measurement data;
and under the condition that the interphase time difference and the optical fiber and environment data time difference meet the precondition, comparing the highest value of each phase at the joint, the average value of the environment temperature, the interphase temperature difference of the joint and the environment temperature difference of the joint with a set value to obtain a diagnosis result of temperature measurement data.
6. The method for diagnosing a joint failure based on a topology of an electric power transmission line of claim 1, wherein said monitoring data further comprises high frequency partial discharge data;
and under the condition that the inter-phase time difference meets the pre-condition, comparing the high-frequency partial discharge data with a set value to obtain a diagnosis result of the high-frequency partial discharge data.
7. A joint fault diagnosis system based on a topology of an electric power transmission line, comprising:
a data acquisition module configured to: acquiring an inter-circuit mutual inductance coefficient, a correction coefficient of the mutual inductance coefficient, monitoring data and time stamps of the monitoring data; the monitoring data comprise ground current values, line load current values and fault recording data at two sides of the joint;
a correction module configured to: correcting the grounding current value and fault record data of two sides of the joint based on the mutual inductance coefficient, the correction coefficient and the line load current value;
a diagnostic module configured to: based on the corrected data and the time stamp, the health of the joint is diagnosed.
8. The system for diagnosing a joint failure based on a topology of an electric power transmission line of claim 7, wherein said monitoring data further comprises high frequency partial discharge data; and under the condition that the inter-phase time difference meets the pre-condition, comparing the high-frequency partial discharge data with a set value to obtain a diagnosis result of the high-frequency partial discharge data.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of a joint fault diagnosis method based on an electric power transmission line topology as claimed in any one of claims 1-6.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of a method for diagnosing a joint failure based on a topology of an electric power transmission line according to any of claims 1-6 when said program is executed.
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| CN117783659A (en) * | 2024-02-28 | 2024-03-29 | 雷玺智能科技(上海)有限公司 | Current sampling method, system and storage medium for cable sheath |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117783659A (en) * | 2024-02-28 | 2024-03-29 | 雷玺智能科技(上海)有限公司 | Current sampling method, system and storage medium for cable sheath |
| CN117783659B (en) * | 2024-02-28 | 2024-04-26 | 雷玺智能科技(上海)有限公司 | Current sampling method, system and storage medium for cable sheath |
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