CN109459662B - High-voltage cable defect state evaluation system - Google Patents
High-voltage cable defect state evaluation system Download PDFInfo
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- CN109459662B CN109459662B CN201811447606.4A CN201811447606A CN109459662B CN 109459662 B CN109459662 B CN 109459662B CN 201811447606 A CN201811447606 A CN 201811447606A CN 109459662 B CN109459662 B CN 109459662B
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- G—PHYSICS
- G01—MEASURING; TESTING
- 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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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G01—MEASURING; TESTING
- 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
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1272—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of cable, line or wire insulation, e.g. using partial discharge measurements
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- Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
- Testing Relating To Insulation (AREA)
Abstract
The invention relates to the technical field of electric power safety, in particular to a high-voltage cable defect state evaluation system which comprises a high-voltage cable temperature acquisition unit, a terminal and intermediate joint partial discharge and sheath circulation acquisition unit, a load current acquisition unit, a signal acquisition processing unit and a high-voltage cable defect state evaluation unit, wherein the terminal and intermediate joint partial discharge and sheath circulation acquisition unit is connected with the terminal and intermediate joint partial discharge and sheath circulation acquisition unit; the high-voltage cable defect state evaluation unit receives the temperature, partial discharge, circulation and load current data which are processed by the signal acquisition and processing unit through the GPRS network, and completes the high-voltage cable defect state evaluation by combining the offline test data. The system can identify various defect types, greatly improves the accuracy of cable defect state evaluation and reduces economic loss to a certain extent.
Description
Technical Field
The invention relates to the technical field of electric power safety, in particular to a high-voltage cable defect state evaluation system.
Background
With the acceleration of urban entrance, the high-voltage cable has the advantages of no occupation of ground space, high power supply reliability and the like, and is widely applied to high-voltage lines of 110kV and above in cities. Due to a plurality of factors such as production, manufacturing, construction and installation, operation environment and the like, the high-voltage cable inevitably has defects in the operation process, and potential safety risks are brought to the reliable operation of the power system. Therefore, in order to avoid a failure of the power system due to a high voltage cable defect, a high voltage cable defect identification needs to be studied.
At present, researches on cable defect identification mainly focus on partial discharge, and related documents identify a cable partial discharge signal diagram by using a non-subsampled shear wave transform domain enhancement method so as to judge the defect type of a cable; or the partial discharge characteristic of the oscillating wave voltage with different frequencies to the cable defect is researched, and the defect mode identification is carried out by utilizing a BP neural network; or a partial discharge characteristic parameter extraction method based on an ultrasonic method and defect identification is carried out by using a support vector machine. The above research is an effective method for identifying defects in cable insulation by using partial discharge, but in addition, the high-voltage cable has various defects such as outer sheath loss, joint heating and the like, and the various defect types are difficult to identify only by means of the partial discharge characteristic.
With the wide application of the on-line monitoring technology in the operation and maintenance management of high-voltage cables, the main state characteristic quantities of the cables, such as partial discharge, sheath circulation, cable temperature and the like, realize the real-time acquisition, transmission and storage of data. In addition, a large amount of off-line data are accumulated in daily cable maintenance of operation and maintenance personnel, so that the existing data are analyzed, and a high-voltage cable defect state evaluation device and a high-voltage cable defect state evaluation system are established.
Disclosure of Invention
Aiming at the defects of the high-voltage cable defect state evaluation, the invention provides the defect state evaluation system which has higher accuracy and more multiple indexes and can comprehensively and objectively analyze and evaluate the high-voltage cable defects. The system can identify various defect types, greatly improves the accuracy of cable defect state evaluation and reduces economic loss to a certain extent.
The technical scheme of the invention is as follows; the high-voltage cable defect state evaluation system comprises a high-voltage cable temperature acquisition unit, a terminal and intermediate joint partial discharge and sheath circulation acquisition unit, a load current acquisition unit, a signal acquisition processing unit and a high-voltage cable defect state evaluation unit; the high-voltage cable temperature acquisition unit acquires the temperature data of the whole high-voltage cable in real time by using the optical fiber temperature measuring device; the local discharge and sheath circulation acquisition unit respectively acquires local discharge and circulation data on a high-voltage cable terminal and a grounding wire of an intermediate joint in real time by an HFCT local discharge sensor and a circulation sensor; the load current acquisition unit acquires cable load current data through the current sensor; the signal acquisition and processing unit is responsible for completing acquisition and pretreatment of various monitoring data of the high-voltage cable; the high-voltage cable defect state evaluation unit receives the temperature, partial discharge, circulation and load current data which are processed by the signal acquisition and processing unit through the GPRS network, and completes the high-voltage cable defect state evaluation by combining the offline test data.
Further, the off-line test data comprises the main insulation resistance before and after the alternating current withstand voltage test, the dielectric loss factor, the outer sheath insulation resistance, the copper shielding layer resistance and the conductor resistance ratio increment.
Further, the temperature data includes cable conductor temperature, A, B, C phase cable conductor temperature difference.
Further, the circulation data comprises sheath circulation and a ratio of sheath circulation to load current, and the partial discharge data comprises partial discharge amount and partial discharge pulse density.
Further, the cable load current data includes an operating current.
Further, the evaluation flow of the high-voltage cable defect state evaluation unit on the data comprises the following steps;
s1: establishing a high-voltage cable defect sample library according to historical statistical data;
s2: sorting out a continuity state index sample from historical statistical data, and discretizing the index sample by adopting a competitive agglomeration algorithm to obtain a clustering center and a membership function;
s3: setting a threshold value of the minimum support degree and the confidence degree as a basis for searching the frequent item set;
s4: excavating frequent item sets meeting support degree and confidence degree threshold values by using an Apriori algorithm, and establishing association rules for high-voltage cable defect identification according to the frequent item sets;
s5: and substituting the monitoring data obtained by the high-voltage cable defect state evaluation unit and the continuous state index in the offline test data obtained by offline test into a membership function, calculating the maximum membership to obtain the category of the state index, and comparing the Boolean type data of the obtained category with the obtained association rule to determine the defect type of the high-voltage cable.
The invention has the advantages that;
1. the online monitoring data and the operation and maintenance data required by the high-voltage cable defect evaluation are acquired, transmitted and stored in real time by using an online monitoring technology, and offline test data are integrated, so that a data basis is provided for the high-voltage cable defect state evaluation;
2. compared with the current research, the method not only judges the cable defects by depending on partial discharge information, but also combines information such as temperature, circulation current, load current, various off-line test data and the like, so that the evaluation of the cable defect state is more comprehensive and accurate;
3. on the basis of the multi-source heterogeneous data, the method comprehensively and accurately analyzes and evaluates the defects of the high-voltage cable based on the association rule and the competitive aggregation algorithm, and can identify various defect types.
Drawings
FIG. 1 is a schematic diagram of the present system.
FIG. 2 is a data state indicator collected by the system.
Fig. 3 is a schematic view of the evaluation flow of the high voltage cable defect state evaluation unit.
Detailed Description
The drawings are for illustrative purposes only and are not to be construed as limiting the patent; for the purpose of better illustrating the embodiments, certain features of the drawings may be omitted, enlarged or reduced, and do not represent the size of an actual product; it will be understood by those skilled in the art that certain well-known structures in the drawings and descriptions thereof may be omitted. The positional relationships depicted in the drawings are for illustrative purposes only and are not to be construed as limiting the present patent.
Example 1:
as shown in fig. 1, the system for evaluating the defect state of the high-voltage cable comprises a high-voltage cable temperature acquisition unit, a terminal and intermediate joint partial discharge and sheath circulating current acquisition unit, a load current acquisition unit, a signal acquisition and processing unit and a high-voltage cable defect state evaluation unit; the high-voltage cable temperature acquisition unit acquires the temperature data of the whole high-voltage cable in real time by the optical fiber temperature measuring device 1; the local discharge and sheath circulation acquisition unit respectively acquires local discharge and circulation data on the high-voltage cable terminal and the grounding wire of the middle joint in real time by an HFCT local discharge sensor 2 and a circulation sensor 3; the load current acquisition unit acquires cable load current data through the current sensor 4; the signal acquisition and processing unit is responsible for completing acquisition and pretreatment of various monitoring data of the high-voltage cable; the high-voltage cable defect state evaluation unit receives the temperature, partial discharge, circulation and load current data which are processed by the signal acquisition and processing unit through the GPRS network, and completes the high-voltage cable defect state evaluation by combining the offline test data.
The number of the online monitoring data of each system is n, the monitoring data on each cable is obtained by monitoring a plurality of numbers of the loops, and the monitoring data are sorted and uploaded to the high-voltage cable defect state evaluation unit through the signal acquisition and processing unit to be compared.
As shown in fig. 2, the high-voltage cable defect evaluation index system is composed of on-line monitoring data obtained by the evaluation system and a large amount of historically accumulated off-line test data. The on-line monitoring data comprises sheath circulation, a ratio of sheath circulation to load current, partial discharge amount, partial discharge pulse density, cable conductor temperature, A, B, C phase cable conductor temperature difference and operating current; the off-line test data comprises main insulation resistance before and after the alternating current withstand voltage test, dielectric loss factor, outer sheath insulation resistance, copper shielding layer resistance and conductor resistance ratio increment.
The off-line test data are respectively obtained in an alternating current withstand voltage test, an outer sheath test and a direct current resistance test, and the power cable is regularly tested.
The signal acquisition and processing unit of the system can adopt an analog-to-digital converter to realize data acquisition and preprocessing.
As shown in fig. 3, the process of evaluating the data by the high voltage cable defect status evaluating unit includes the following steps;
s1: establishing a high-voltage cable defect sample library according to historical statistical data;
s2: sorting out a continuity state index sample from historical statistical data, and discretizing the index sample by adopting a competitive agglomeration algorithm to obtain a clustering center and a membership function;
s3: setting a threshold value of the minimum support degree and the confidence degree as a basis for searching the frequent item set;
s4: excavating frequent item sets meeting support degree and confidence degree threshold values by using an Apriori algorithm, and establishing association rules for high-voltage cable defect identification according to the frequent item sets;
s5: and substituting the monitoring data obtained by the high-voltage cable defect state evaluation unit and the continuous state index in the offline test data obtained by offline test into a membership function, calculating the maximum membership to obtain the category of the state index, and comparing the Boolean type data of the obtained category with the obtained association rule to determine the defect type of the high-voltage cable.
The historical data in the step S1 is the type of cable defects found in daily cable maintenance by operation and maintenance personnel, and a high-voltage cable defect sample library is established according to actual common defects.
Example 2;
the present embodiment is similar to embodiment 1, and is different in that the high voltage cable defect status evaluation unit can be implemented by using an MCU, the high voltage cable defect status evaluation process is implemented by using a program algorithm, online monitoring data collected by each sensor is input into the signal collection processing unit for preprocessing (such as encryption or analog-to-digital conversion), after the processing, the signal collection processing unit transmits the data into the MCU, meanwhile, offline test data is manually input into the MCU to form test data with the online monitoring data, the test data is processed and compared with index data of the high voltage cable defect status evaluation system in the MCU, and finally boolean data is output to compare with the established association rule to determine the defect type of the corresponding high voltage cable. The system is integrated in the device, can be combined into a high-voltage cable defect monitoring device, outputs the final result to a screen for displaying, and is visual, clear, convenient, quick and highly intelligent.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (5)
1. The high-voltage cable defect state evaluation system is characterized by comprising a high-voltage cable temperature acquisition unit, a terminal and intermediate joint partial discharge and sheath circulating current acquisition unit, a load current acquisition unit, a signal acquisition processing unit and a high-voltage cable defect state evaluation unit; the high-voltage cable temperature acquisition unit acquires the temperature data of the whole high-voltage cable in real time by the optical fiber temperature measuring device (1); the local discharge and sheath circulation acquisition unit respectively acquires local discharge and circulation data on a high-voltage cable terminal and a grounding wire of an intermediate joint in real time through an HFCT local discharge sensor (2) and a circulation sensor (3); the load current acquisition unit acquires cable load current data through the current sensor (4); the signal acquisition and processing unit is responsible for completing acquisition and pretreatment of various monitoring data of the high-voltage cable; the high-voltage cable defect state evaluation unit receives the temperature, partial discharge, circulation and load current data which are processed by the signal acquisition and processing unit, and completes the high-voltage cable defect state evaluation by combining the offline test data;
the process of evaluating the data by the high-voltage cable defect state evaluation unit comprises the following steps;
s1: establishing a high-voltage cable defect sample library according to historical statistical data;
s2: sorting out a continuity state index sample from historical statistical data, and discretizing the index sample by adopting a competitive agglomeration algorithm to obtain a clustering center and a membership function;
s3: setting a threshold value of the minimum support degree and the confidence degree as a basis for searching the frequent item set;
s4: excavating frequent item sets meeting support degree and confidence degree threshold values by using an Apriori algorithm, and establishing association rules for high-voltage cable defect identification according to the frequent item sets;
s5: and substituting the monitoring data obtained by the high-voltage cable defect state evaluation unit and the continuous state index in the offline test data obtained by offline test into a membership function, calculating the maximum membership to obtain the category of the state index, and comparing the Boolean type data of the obtained category with the obtained association rule to determine the defect type of the high-voltage cable.
2. The system of claim 1, wherein the off-line test data includes a main insulation resistance before and after the ac withstand voltage test, a dielectric loss factor, an outer sheath insulation resistance, a copper shield layer resistance, and a conductor resistance ratio increase amount.
3. The system of claim 1, wherein the temperature data includes cable conductor temperature, A, B, C phase cable conductor temperature difference.
4. The system of claim 1, wherein the circulating current data includes a sheath circulating current, a ratio of a sheath circulating current to a load current, and the partial discharge data includes a partial discharge amount and a partial discharge pulse density.
5. The system of claim 1, wherein the cable load current data includes an operating current.
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| CN109856515A (en) * | 2019-03-20 | 2019-06-07 | 国网电力科学研究院武汉南瑞有限责任公司 | A kind of direct current cables state of insulation judgment method and system |
| CN111579978B (en) * | 2020-05-18 | 2024-01-02 | 珠海施诺电力科技有限公司 | System and method for realizing relay fault identification based on artificial intelligence technology |
| CN111965497A (en) * | 2020-06-22 | 2020-11-20 | 内蒙古大唐国际托克托发电有限责任公司 | High-voltage cable early defect joint diagnosis method |
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