CN113960411B - Power transmission line fault tripping comprehensive research and judgment method based on multi-source data fusion - Google Patents

Power transmission line fault tripping comprehensive research and judgment method based on multi-source data fusion Download PDF

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Publication number
CN113960411B
CN113960411B CN202111207303.7A CN202111207303A CN113960411B CN 113960411 B CN113960411 B CN 113960411B CN 202111207303 A CN202111207303 A CN 202111207303A CN 113960411 B CN113960411 B CN 113960411B
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information
line
outage
fault
power grid
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CN113960411A (en
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夏令志
严波
甄超
刘宇舜
程洋
操松元
汪春燕
何安明
孙飞
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Electric Power Research Institute of State Grid Anhui Electric Power Co Ltd
Anhui Jiyuan Software Co Ltd
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Electric Power Research Institute of State Grid Anhui Electric Power Co Ltd
Anhui Jiyuan Software Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/08Locating faults in cables, transmission lines, or networks
    • G01R31/081Locating faults in cables, transmission lines, or networks according to type of conductors
    • G01R31/085Locating faults in cables, transmission lines, or networks according to type of conductors in power transmission or distribution lines, e.g. overhead
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)

Abstract

The invention discloses a comprehensive power transmission line fault tripping and judging method based on multi-source data fusion, which comprises the following steps: step one: remote signaling information fusion research and judgment of power grid secondary equipment; step two: correcting and judging telemetering information of primary equipment of a power grid; step three: correcting and studying and judging the planned outage information of the power grid; step four: correcting, studying and judging power grid fault wave recording information; step five: correcting and studying and judging the distributed fault positioning information of the power grid; step six: and forming final power transmission line fault tripping information. The accuracy of the fault tripping and studying and judging of the power transmission line is improved. The method provides a solution for accurately, comprehensively and timely grasping the tripping information of the power transmission line and improving the operation and maintenance level of the power transmission line, and has good practical value. Through integrating a plurality of real-time power outage service systems, a plurality of service system equipment accounts are communicated, and real-time power outage is subjected to fusion research and judgment from a plurality of dimensions, so that accurate power outage data of the power transmission line in a quasi-real-time fault is constructed.

Description

Power transmission line fault tripping comprehensive research and judgment method based on multi-source data fusion
Technical Field
The invention relates to the technical field of power grid operation safety analysis, in particular to a comprehensive power transmission line fault tripping and judging method based on multi-source data fusion.
Background
The power transmission line is greatly influenced by external environment, tripping events often occur, and the method has good practical significance on how to accurately, comprehensively and timely master the tripping information of the power transmission line and improve the operation and maintenance level of the power transmission line for analyzing the failure cause of the power transmission line afterwards.
At present, the tripping of a line is timely researched and judged, and the supporting of the operation information of secondary equipment in an automatic system is required to be scheduled. However, the secondary equipment operation signal has the conditions of frequent false sending, missed sending and the like, manual checking is needed, and accurate tripping information cannot be timely researched and judged. At present, different equipment power failure systems are built in the power system according to different business requirements of various departments, and the power system mainly comprises fault wave recording, distributed fault positioning, planned power failure management and the like.
With the promotion of big data, cloud platforms and digital technologies in electric enterprises, data management and sharing are effectively developed in an electric power system, and the accuracy of fault research and judgment of the power transmission line can be further improved through mutual verification of a plurality of service systems.
Therefore, the comprehensive power transmission line fault tripping and judging method based on multi-source data fusion is provided, a plurality of real-time power failure service systems are integrated, a plurality of service system equipment accounts are penetrated, the real-time power failure is fused and judged from a plurality of dimensions, and accurate power transmission line quasi-real-time power failure data are constructed.
Disclosure of Invention
The invention aims to solve the problem that the fault tripping and research and judgment of a power transmission line are not timely and accurate, and provides a comprehensive power transmission line fault tripping and research and judgment method based on multi-source data fusion.
The invention is realized by the following technical scheme:
the comprehensive power transmission line fault tripping research and judgment method based on multi-source data fusion comprises the following steps:
step one: and (3) carrying out remote signaling information fusion and research and judgment on primary and secondary equipment of the power grid:
and acquiring primary and secondary equipment remote signaling data of a power grid from a dispatching automation system, grouping primary and secondary equipment remote signaling signals of the power grid in real time according to intervals by taking 5 minutes as a period, sequencing in groups by taking signal generation time sequence, recording that a line switch generates a brake-separating deflection signal in the group memory, stopping the line, recording that the line is in a power failure type, recording that the line is in a fault trip according to protection action information of the group memory, and recording that the line is in a fault trip type to form a line stopping set L.
Step two: and (3) correcting and judging telemetering information of primary equipment of the power grid:
and acquiring telemetry data of primary equipment of the power grid from the dispatching automation system, secondarily judging the outage condition of the lines in the formed set according to whether the active and current telemetry data of the power transmission line are suddenly changed or are directly 0, correcting the lines without outage according to telemetry change trend, correcting the outage type in the line outage set L to be uninterrupted, and eliminating erroneous judgment results caused by mistransmission of remote signaling signals of secondary equipment.
Step three: and (3) correcting and studying and judging the planned outage information of the power grid:
and (3) acquiring daily scheduled maintenance information from the scheduling operation management system, extracting line maintenance outage information from the daily scheduled maintenance information, comparing the daily scheduled maintenance information with a line outage set L in the second step according to the consistency of equipment and outage periods, and updating the type of the line outage equipment in the line set L into the scheduled maintenance outage if the daily scheduled maintenance information is completely consistent with the line outage set L in the second step.
Step four: correcting, studying and judging power grid fault wave recording information;
acquiring power grid fault wave recording information from a power grid fault wave recording system in real time, extracting line fault outage information, comparing the line fault wave recording information with a line outage set L in the second step according to the consistency of equipment and outage periods, and updating the outage type to be fault outage if the line fault wave recording information is completely consistent with the line outage set L in the second step; if the line shutdown set L does not exist, the line shutdown information is compared with the remote measurement operation information of the dispatching primary equipment aiming at the fault wave recording, and if the line shutdown information is consistent with the remote measurement operation information of the dispatching primary equipment, the line shutdown information is updated into the line shutdown set L and is recorded as fault tripping.
Step five: correcting and studying and judging power grid distributed fault positioning information:
and (3) acquiring distributed fault positioning information from the power grid distributed fault positioning system, extracting line fault outage information, performing correction by adopting the same correction strategy in the fourth step, and updating a line outage set L in the second step.
Step six: forming final power transmission line fault tripping information:
and (3) extracting a circuit with the shutdown type of fault tripping in the circuit shutdown set in the fifth step, and recording the circuit as final power transmission circuit drawing tripping information.
Further, in the third step, the line maintenance outage information is extracted from the third step, and the line maintenance outage information includes an outage line name, an outage start time and an outage end time.
Compared with the prior art, the invention has the beneficial effects that:
compared with the prior art, the comprehensive power transmission line fault tripping and judging method based on multi-source data fusion improves the accuracy of power transmission line fault tripping and judging. The method provides a solution for accurately, comprehensively and timely grasping the tripping information of the power transmission line and improving the operation and maintenance level of the power transmission line, and has good practical value. Through integrating a plurality of real-time power outage service systems, a plurality of service system equipment accounts are communicated, and real-time power outage is subjected to fusion research and judgment from a plurality of dimensions, so that accurate power outage data of the power transmission line in a quasi-real-time fault is constructed.
Drawings
Fig. 1 is a flowchart of a comprehensive power transmission line fault tripping and judging method based on multi-source data fusion.
Detailed Description
The invention will be further described in detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a comprehensive study and judgment method for power transmission line fault tripping based on multi-source data fusion.
The comprehensive power transmission line fault tripping research and judgment method based on multi-source data fusion comprises the following steps:
step one: and (3) carrying out remote signaling information fusion and research and judgment on primary and secondary equipment of the power grid:
and acquiring primary and secondary equipment remote signaling data of a power grid from a dispatching automation system, grouping primary and secondary equipment remote signaling signals of the power grid in real time according to intervals by taking 5 minutes as a period, sequencing in groups by taking signal generation time sequence, recording that a line switch generates a brake-separating deflection signal in the group memory, stopping the line, recording that the line is in a power failure type, recording that the line is in a fault trip according to protection action information of the group memory, and recording that the line is in a fault trip type to form a line stopping set L.
Step two: and (3) correcting and judging telemetering information of primary equipment of the power grid:
and acquiring telemetry data of primary equipment of the power grid from the dispatching automation system, secondarily judging the outage condition of the lines in the formed set according to whether the active and current telemetry data of the power transmission line are suddenly changed or are directly 0, correcting the lines without outage according to telemetry change trend, correcting the outage type in the line outage set L to be uninterrupted, and eliminating erroneous judgment results caused by mistransmission of remote signaling signals of secondary equipment.
Step three: and (3) correcting and studying and judging the planned outage information of the power grid:
and acquiring daily scheduled maintenance information from the scheduling operation management system, and extracting line maintenance outage information from the daily scheduled maintenance information, wherein the line maintenance outage information comprises an outage line name, an outage starting time and an outage ending time. And (3) comparing the equipment with the line outage set L in the second step according to the consistency of the equipment and the outage period, and updating the type of the line outage equipment in the line set L in the second step into the planned maintenance outage if the equipment is completely consistent with the line outage set L in the second step.
Step four: correcting, studying and judging power grid fault wave recording information:
acquiring power grid fault wave recording information from a power grid fault wave recording system in real time, extracting line fault outage information, comparing the line fault wave recording information with a line outage set L in the second step according to the consistency of equipment and outage periods, and updating the outage type to be fault outage if the line fault wave recording information is completely consistent with the line outage set L in the second step; if the line shutdown set L does not exist, the line shutdown information is compared with the remote measurement operation information of the dispatching primary equipment aiming at the fault wave recording, and if the line shutdown information is consistent with the remote measurement operation information of the dispatching primary equipment, the line shutdown information is updated into the line shutdown set L and is recorded as fault tripping.
Step five: correcting and studying and judging power grid distributed fault positioning information:
and (3) acquiring distributed fault positioning information from the power grid distributed fault positioning system, extracting line fault outage information, performing correction by adopting the same correction strategy in the fourth step, and updating a line outage set L in the second step.
Step six: forming final power transmission line fault tripping information:
and (3) extracting a circuit with the shutdown type of fault tripping in the circuit shutdown set in the fifth step, and recording the circuit as final power transmission circuit drawing tripping information.
Compared with the prior art, the invention has the beneficial effects that:
compared with the prior art, the comprehensive power transmission line fault tripping and judging method based on multi-source data fusion improves the accuracy of power transmission line fault tripping and judging. The method provides a solution for accurately, comprehensively and timely grasping the tripping information of the power transmission line and improving the operation and maintenance level of the power transmission line, and has good practical value. Through integrating a plurality of real-time power outage service systems, a plurality of service system equipment accounts are communicated, and real-time power outage is subjected to fusion research and judgment from a plurality of dimensions, so that accurate power outage data of the power transmission line in a quasi-real-time fault is constructed.
The foregoing has shown and described the basic principles, principal features and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the above-described embodiments, and that the above-described embodiments and descriptions are only preferred embodiments of the present invention, and are not intended to limit the invention, and that various changes and modifications may be made therein without departing from the spirit and scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (2)

1. The comprehensive power transmission line fault tripping studying and judging method based on multi-source data fusion is characterized by comprising the following steps of:
step one: remote signaling information fusion research and judgment of power grid secondary equipment;
acquiring primary and secondary equipment remote signaling data of a power grid from a dispatching automation system, grouping primary and secondary equipment remote signaling signals of the power grid in real time according to intervals by taking 5 minutes as a period, sequencing in a group by taking a signal generation time sequence, recording that a line switch generates a brake-separating deflection signal in the group, stopping the line, recording that the line is in a power failure type, recording that the line is in a fault trip according to protection action information of the group memory, and recording that the line is in a fault trip type to form a line stopping set L;
step two: correcting and judging telemetering information of primary equipment of a power grid;
acquiring telemetry data of primary equipment of a power grid from a dispatching automation system, secondarily judging the outage condition of the lines in a formed set according to whether the active and current telemetry data of the power transmission lines are suddenly changed or are directly 0, correcting the lines without outage according to telemetry change trend, correcting the outage type in the line outage set L to be uninterrupted, and eliminating erroneous judgment results caused by mistransmission of telemetry signals of secondary equipment;
step three: correcting and studying and judging the planned outage information of the power grid;
acquiring daily scheduled maintenance information from a scheduling operation management system, extracting line maintenance outage information from the daily scheduled maintenance information, comparing the daily scheduled maintenance information with a line outage set L in the second step according to the consistency of equipment and outage periods, and updating the type of the line outage equipment in the line set L into scheduled maintenance outage if the daily scheduled maintenance information is completely consistent with the line outage set L in the second step;
step four: correcting, studying and judging power grid fault wave recording information;
acquiring power grid fault wave recording information from a power grid fault wave recording system in real time, extracting line fault outage information, comparing the line fault wave recording information with a line outage set L in the second step according to the consistency of equipment and outage periods, and updating the outage type to be fault outage if the line fault wave recording information is completely consistent with the line outage set L in the second step; if the line shutdown set L does not exist, comparing the line shutdown information with the remote measurement operation information of the dispatching primary equipment aiming at fault wave recording, and if the line shutdown information is consistent with the remote measurement operation information, updating the line shutdown information into the line shutdown set L, and recording the line shutdown information as fault tripping;
step five: correcting and studying and judging the distributed fault positioning information of the power grid;
acquiring distributed fault positioning information from a power grid distributed fault positioning system, extracting line fault outage information, performing correction by adopting the same correction strategy as that in the fourth step, and updating a line outage set L in the second step;
step six: forming final power transmission line fault tripping information;
and (3) extracting a circuit with the shutdown type of fault tripping in the circuit shutdown set in the fifth step, and recording the circuit as final power transmission circuit drawing tripping information.
2. The method for comprehensively studying and judging the fault tripping of the power transmission line based on the multi-source data fusion according to claim 1, wherein in the third step, the line overhaul shutdown information is extracted from the information, and the line overhaul shutdown information comprises a shutdown line name, a shutdown start time and a shutdown end time.
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101099788B1 (en) * 2010-06-29 2011-12-28 한국전력공사 Apparatus and method of determinating lightening induced flashover in transmission lines
CN104636990A (en) * 2015-02-17 2015-05-20 国家电网公司 Method of real-time troubleshooting and early warning for shutdown reasons of power grid equipment based on N-1 principle
CN104766185A (en) * 2015-05-06 2015-07-08 国网山东省电力公司 Regional power grid power outage information studying and judging system and method based on power grid power outage characteristics
CN109490707A (en) * 2018-11-13 2019-03-19 国网江苏省电力有限公司南通供电分公司 The automatic analysis method of electric network fault tripping based on multidimensional multi-source grid operation data
CN111044843A (en) * 2019-11-13 2020-04-21 广西电网有限责任公司 Power transmission line fault positioning method based on multi-source data
CN111366814A (en) * 2020-03-31 2020-07-03 上海电力大学 Power grid fault diagnosis method based on multi-source data and multi-dimensional fault coding space
CN112083292A (en) * 2020-10-26 2020-12-15 积成电子股份有限公司 Power distribution network active fault studying and judging method based on multi-source non-sound information fusion
CN112485597A (en) * 2020-12-01 2021-03-12 国家电网公司华中分部 Power system transmission line fault diagnosis method and system based on multi-source data
CN112763846A (en) * 2020-12-23 2021-05-07 国网河南省电力公司电力科学研究院 Multi-data source information fusion-based intelligent power failure judgment method for distribution line

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110334740A (en) * 2019-06-05 2019-10-15 武汉大学 The electrical equipment fault of artificial intelligence reasoning fusion detects localization method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101099788B1 (en) * 2010-06-29 2011-12-28 한국전력공사 Apparatus and method of determinating lightening induced flashover in transmission lines
CN104636990A (en) * 2015-02-17 2015-05-20 国家电网公司 Method of real-time troubleshooting and early warning for shutdown reasons of power grid equipment based on N-1 principle
CN104766185A (en) * 2015-05-06 2015-07-08 国网山东省电力公司 Regional power grid power outage information studying and judging system and method based on power grid power outage characteristics
CN109490707A (en) * 2018-11-13 2019-03-19 国网江苏省电力有限公司南通供电分公司 The automatic analysis method of electric network fault tripping based on multidimensional multi-source grid operation data
CN111044843A (en) * 2019-11-13 2020-04-21 广西电网有限责任公司 Power transmission line fault positioning method based on multi-source data
CN111366814A (en) * 2020-03-31 2020-07-03 上海电力大学 Power grid fault diagnosis method based on multi-source data and multi-dimensional fault coding space
CN112083292A (en) * 2020-10-26 2020-12-15 积成电子股份有限公司 Power distribution network active fault studying and judging method based on multi-source non-sound information fusion
CN112485597A (en) * 2020-12-01 2021-03-12 国家电网公司华中分部 Power system transmission line fault diagnosis method and system based on multi-source data
CN112763846A (en) * 2020-12-23 2021-05-07 国网河南省电力公司电力科学研究院 Multi-data source information fusion-based intelligent power failure judgment method for distribution line

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
利用数据融合技术提升输电线路故障定位精度的新方法;焦在滨;吴润东;王钊;刘团;雷响;郑永康;宋国兵;中国电机工程学报(第009期);105-113 *
多数据融合的电网主设备跳闸自动查询方法研究与应用;陈彦州;陈岳;吴清泉;苏浩辉;何珏;孙萌;;电气应用(第S2期);255-259 *

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