CN110752959A - Intelligent substation process layer physical link fault positioning system - Google Patents

Intelligent substation process layer physical link fault positioning system Download PDF

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Publication number
CN110752959A
CN110752959A CN201911052999.3A CN201911052999A CN110752959A CN 110752959 A CN110752959 A CN 110752959A CN 201911052999 A CN201911052999 A CN 201911052999A CN 110752959 A CN110752959 A CN 110752959A
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CN
China
Prior art keywords
layer
physical link
switch
fault
network
Prior art date
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Pending
Application number
CN201911052999.3A
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Chinese (zh)
Inventor
郑永康
李劲松
张金虎
刘勇
黄华林
李梓玮
陈运华
朱祚恒
袁大友
李伟
王涵宇
周召均
余代海
王维博
杨凯
李亚蕾
李昂
张炜
沈艳
刘筱萍
赵娜
孟雷
陈迟
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China Electric Power Research Institute Co Ltd
State Grid Sichuan Electric Power Co Ltd
Sichuan Electric Power Research Institute
Original Assignee
China Electric Power Research Institute Co Ltd
State Grid Sichuan Electric Power Co Ltd
Sichuan Electric Power Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China Electric Power Research Institute Co Ltd, State Grid Sichuan Electric Power Co Ltd, Sichuan Electric Power Research Institute filed Critical China Electric Power Research Institute Co Ltd
Priority to CN201911052999.3A priority Critical patent/CN110752959A/en
Publication of CN110752959A publication Critical patent/CN110752959A/en
Pending legal-status Critical Current

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Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/06Arrangements for maintenance or administration or management of packet switching networks involving management of faults or events or alarms
    • H04L41/0677Arrangements for maintenance or administration or management of packet switching networks involving management of faults or events or alarms localization of fault position
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J13/00Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/02Arrangements for maintenance or administration or management of packet switching networks involving integration or standardization
    • H04L41/0213Arrangements for maintenance or administration or management of packet switching networks involving integration or standardization using standardized network management protocols, e.g. simple network management protocol [SNMP] or common management interface protocol [CMIP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance or administration or management of packet switching networks
    • H04L41/12Arrangements for maintenance or administration or management of packet switching networks network topology discovery or management
    • 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • 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
    • Y04S10/16Electric power substations

Abstract

The invention discloses a process layer physical link fault positioning system of an intelligent substation, which comprises the following steps: the system comprises a fault positioning host, a network monitoring management data cloud, a process layer switch and intelligent electronic equipment; the fault positioning host is used for: generating a physical link topological graph of actual process layer network communication; comparing a preset process layer network communication physical link topological graph with an actual process layer network communication physical link topological graph to realize the positioning of faults; monitoring network flow abnormity and network storm link failure; the network monitoring management data cloud is used for receiving network monitoring data and fault positioning data of the fault host and forming a fault analysis report; the mapping relation of the process layer network communication physical link is vividly displayed in a graphic mode, and real-time monitoring and fault positioning of the process layer network are realized by comparing a preset process layer network communication physical link with an actual process layer network communication physical link.

Description

Intelligent substation process layer physical link fault positioning system
Technical Field
The invention relates to the field of intelligent substation network monitoring, in particular to a process layer physical link fault positioning system of an intelligent substation.
Background
The intelligent substation automation system based on the Ethernet communication technology realizes the communication and sharing of information between primary and secondary devices, and meanwhile, multiple functions of the intelligent substation automation system in turn put higher requirements on the real-time performance of the Ethernet communication technology. Compared with a traditional transformer substation, the intelligent transformer substation adopts the optical fiber network to transmit information, so that the industrial Ethernet switch gradually replaces a traditional cable to become key equipment of the communication network of the intelligent transformer substation. Due to the particularity of the structure and the function of the automatic system of the intelligent substation, the industrial Ethernet switch has high requirements and standards, so that the monitoring of the process level network performance of the intelligent substation based on the IEC 61850 standard and the performance of the industrial Ethernet switch has very important practical significance. The existing process layer network monitoring system generally realizes the monitoring of the process layer network by receiving the abnormal condition of data. When a certain device is abnormal, a plurality of connected devices may send out abnormal link signals, and after an operator sees a large amount of error link information, the operator may be unsuitable and cannot quickly and accurately locate the fault and the abnormality. Meanwhile, most of the existing network monitoring systems cannot support the graphic display of the network physical topological structure loop.
Disclosure of Invention
Aiming at the problems, the invention provides a fault positioning system for a process layer physical link of an intelligent substation, which vividly displays the mapping relation of the process layer network communication physical link in a graphic mode, and realizes the real-time monitoring and fault positioning of the process layer network by comparing a preset process layer network communication physical link with an actual process layer network communication physical link.
In order to achieve the above object, the present application provides an online monitoring system for an intelligent substation switch, including: the system comprises a fault positioning host, a network monitoring management data cloud, a process layer switch and intelligent electronic equipment (IED).
The fault positioning host consists of an SCD configuration module, a fault positioning module, a network communication module, a physical link module and a network monitoring module.
And the SCD configuration module imports the configuration of the intelligent substation and automatically generates a preset process layer network communication physical link topological graph.
The physical link module consists of a switch topology module and a switch and IED topology module.
The switch physical topology module acquires the connection relationship between the switches through a Link Layer Discovery Protocol (LLDP) of the switches. The LLDP is a neighbor discovery protocol, and can issue information such as the MAC address, IP address, device identifier, and interface identifier of the local device to the neighbors directly connected to itself, obtain connection information and device information of adjacent switches, and after sorting the information, obtain the physical topology structure between the switches.
The IED topology module captures the GOOSE/SV message under the set rule by setting the corresponding ACL rule, and obtains information such as device name, source MAC, destination multicast and the like by analyzing the GOOSE/SV message information. And the IED topology module is used for calculating, analyzing and acquiring the physical topology structures of the process layer switch and the devices for measurement and control, protection and the like by combining the message analysis information, the MAC address forwarding table of the switch and the multicast forwarding table. The process layer network communication physical link comprises a physical topological structure of the switch and a physical topological structure of the switch and devices for measurement, control, protection and the like. And the physical link module is combined with the physical topological structures of the switch and the physical topological structures of the switch, the measurement and control devices, the protection devices and the like to finally generate a physical link topological diagram of the network communication of the actual process layer.
And the fault positioning module compares a preset process layer network communication physical link topological graph with an actual process layer network communication physical link topological graph to realize the positioning of the fault.
The network monitoring module periodically acquires information in the MIB of the switch through an SNMP protocol, wherein the information comprises port communication information (such as accumulated data of input and output flows), system information (such as whether the switch is down or power-off phenomenon can be found according to power-on time), internal state information (such as information of system time, program version, power state, temperature of the switch, CPU load rate, working state of a fan and the like of the switch), Trap (SNMP Trap) event information (such as switch restart, port communication interruption and recovery and switch custom fault abnormal events). And the network monitoring module forms process layer network operation parameters according to the acquired information and monitors link faults such as network flow abnormity, network storm and the like in real time according to preset parameters.
And the network monitoring management data cloud receives the network monitoring data and the fault positioning data of the fault host and forms a fault analysis report. The network monitoring management data cloud utilizes a big data analysis technology to store in a classified and graded mode, provides auxiliary solving measures and similar accident fault analysis reports aiming at different fault types, and achieves intelligent assistance of fault treatment. Meanwhile, the AI neural network technology is utilized to actively update the database content and continuously optimize the database.
One or more technical solutions provided by the present application have at least the following technical effects or advantages:
the fault positioning host consists of an SCD configuration module, a fault positioning module, a network communication module, a physical link module and a network monitoring module.
The physical link module consists of a switch topology module and a switch and IED topology module.
The system graphically displays the mapping relation of the process level network communication physical link and realizes the visual positioning of the fault of the process level network physical link.
The IED topology module captures GOOSE/SV messages by using an ACL rule of the switch, so that the messages are effectively filtered, the message analysis speed is increased, and the system response speed is higher.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this application, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention;
FIG. 1 is a schematic diagram of the system architecture of the present invention;
fig. 2 is a schematic diagram of a process layer physical link fault locating process of the intelligent substation.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflicting with each other.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described and thus the scope of the present invention is not limited by the specific embodiments disclosed below.
Referring to fig. 1, the present application provides a system structure diagram of the present invention shown in fig. 1.
As shown in fig. 1, the present invention includes: the system comprises a fault positioning host, a network monitoring management data cloud, a process layer switch and intelligent electronic equipment (IED).
The fault positioning host consists of an SCD configuration module, a fault positioning module, a network communication module, a physical link module and a network monitoring module.
And the SCD configuration module imports the configuration of the intelligent substation and automatically generates a preset process layer network communication physical link topological graph.
The physical link module consists of a switch topology module and a switch and IED topology module. The switch physical topology module acquires the connection relationship between the switches through a Link Layer Discovery Protocol (LLDP) of the switches. The IED topology module captures a GOOSE/SV message under a set rule by setting a corresponding ACL rule, and generates a physical topology structure of a process layer switch, a measurement and control device, a protection device and the like by analyzing the message. And the physical link module is combined with the physical topological structures of the switch and the physical topological structures of the switch, the measurement and control devices, the protection devices and the like to finally generate a physical link topological graph of the network communication of the actual process layer.
And the fault positioning module compares a preset process layer network communication physical link topological graph with an actual process layer network communication physical link topological graph to realize the positioning of the fault.
The network monitoring module periodically obtains information in the MIB of the switch through an SNMP protocol, including port communication information (such as accumulated data of input and output flows), system information (such as whether the switch is down or power off can be found according to power-on time), internal state information (such as information of system time, program version, power state, temperature of the switch, CPU load rate, working state of a fan and the like of the switch), Trap (i.e., SNMP Trap) event information (such as restart of the switch, interruption and recovery of port communication, and self-defined fault abnormal events of the switch). The network monitoring module forms process layer network operation parameters according to the acquired information and monitors link faults such as network flow abnormity, network storm and the like in real time according to preset parameters.
And the fault host uploads the network monitoring data and the fault locating data to a network monitoring management data cloud through a network communication module. The network monitoring management data cloud stores network operation data, physical link positioning data and the like to form a fault analysis report, a big data analysis technology is used for classified and classified storage, auxiliary solving measures and similar accident fault analysis reports are provided according to different fault types, and intelligent assistance of fault treatment is achieved. Meanwhile, the AI neural network technology is utilized to actively update the database content and continuously optimize the database.
Referring to fig. 2, a schematic diagram of a process layer physical link fault location process of an intelligent substation according to the present invention is shown.
As shown in fig. 2, the fault locating process includes:
firstly, the SCD configuration module imports SCD configuration, and the device names and the connection port numbers at two ends of the same optical fiber can be obtained by utilizing the device and optical fiber relation table, so that the physical connection information of the device and the port thereof is obtained, and a preset process layer network communication physical link topological graph is generated.
The physical link module acquires the physical topological structures of the switch and the physical topological structures of the switch and the devices for measurement and control, protection and the like by using LLDP and a message capture technology based on an ACL rule, and generates an actual process layer network communication physical link topological graph after synthesis.
And the fault positioning module compares a preset process layer network communication physical link topological graph with an actual process layer network communication physical link topological graph, if the two topological graphs are not consistent, the process layer network physical link is indicated to have a problem, and different parts are highlighted, so that the fault is positioned.
And when the missing link occurs, positioning to the missing position, and alarming the network operation state fault.
When the redundant link appears, the network is positioned to the redundant link to alarm the illegal access of the network.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. An intelligent substation process layer physical link fault locating system, the system comprising:
the system comprises a fault positioning host, a network monitoring management data cloud, a process layer switch and intelligent electronic equipment;
the fault positioning host is used for: importing the configuration of the intelligent substation, and automatically generating a preset process layer network communication physical link topological graph; acquiring a connection relation between the switch and the switchboard through a link layer discovery protocol of the switch; acquiring a GOOSE/SV message under a set rule by setting a corresponding ACL rule, and acquiring device name, source MAC and destination multicast information by analyzing the GOOSE/SV message information; combining the physical topological structures of the switch and the physical topological structures of the switch and the measurement and control and protection device to finally generate a physical link topological graph of the network communication of the actual process layer; comparing a preset process layer network communication physical link topological graph with an actual process layer network communication physical link topological graph to realize the positioning of faults; through SNMP protocol, periodically acquiring information in MIB of the switch, forming process layer network operation parameters according to the acquired information, and monitoring network flow abnormity and network storm link failure in real time according to preset parameters;
and the network monitoring management data cloud is used for receiving the network monitoring data and the fault positioning data of the fault host and forming a fault analysis report.
2. The intelligent substation process layer physical link fault locating system of claim 1, wherein the fault locating host comprises: the system comprises an SCD configuration module, a fault positioning module, a network communication module, a physical link module and a network monitoring module.
3. The intelligent substation process layer physical link fault locating system of claim 2, wherein the SCD configuration module is configured to import an intelligent substation configuration and automatically generate a preset process layer network communication physical link topology map.
4. The intelligent substation process layer physical link fault locating system of claim 2, wherein the physical link modules comprise a switch topology module and a switch and IED topology module;
the physical topology module of the switch acquires the connection relation between the switch and the switch through a link layer discovery protocol of the switch; the IED topology module captures a GOOSE/SV message under a set rule by setting a corresponding ACL rule, and obtains a device name, a source MAC and destination multicast information by analyzing the GOOSE/SV message information; and the IED topology module is used for calculating, analyzing and acquiring physical topology structures of the process layer switch and devices for measurement and control, protection and the like by combining the message analysis information, the MAC address forwarding table of the switch and the multicast forwarding table.
5. The intelligent substation process layer physical link fault locating system of claim 4, wherein the process layer network communication physical link comprises a physical topology structure of a switch and a physical topology structure of the switch and a measurement and control, protection device; and the physical link module is combined with the physical topological structures of the switch and the physical topological structures of the switch, the measurement and control device and the protection device to finally generate a physical link topological graph of the network communication of the actual process layer.
6. The intelligent substation process layer physical link fault locating system of claim 2, wherein the fault locating module compares a preset process layer network communication physical link topological graph with an actual process layer network communication physical link topological graph to locate the fault.
7. The system of claim 2, wherein the network monitoring module periodically obtains information in the MIB of the switch via an SNMP protocol, and the system comprises: port communication information, system information, internal state information and Trap event information; the network monitoring module forms process layer network operation parameters according to the acquired information and monitors network flow abnormity and network storm link faults in real time according to preset parameters.
8. The intelligent substation process layer physical link fault locating system of claim 1, wherein the network monitoring management data cloud utilizes big data analysis technology to store in a classified and graded manner, and provides auxiliary solution measures and similar accident fault analysis reports for different fault types, so as to realize intelligent assistance of fault handling.
9. The intelligent substation process layer physical link fault locating system of claim 1, wherein the network monitoring management data cloud utilizes an AI neural network to actively update database contents and continuously optimize the database.
10. The intelligent substation process layer physical link fault locating system of claim 2, wherein the fault locating process of the system is as follows:
the SCD configuration module imports SCD configuration, obtains device names and connection port numbers at two ends of the same optical fiber by using a device and optical fiber relation table, obtains physical connection information of the devices and the ports thereof, and generates a preset process layer network communication physical link topological graph;
the physical link module acquires a physical topological structure of the switch and a physical topological structure of the switch and the measurement and control and protection device by utilizing LLDP and message capture based on ACL rules, and generates a physical link topological graph of network communication of an actual process layer after synthesis;
the fault positioning module compares a preset process layer network communication physical link topological graph with an actual process layer network communication physical link topological graph, if the two topological graphs are not consistent, the process layer network physical link is indicated to have a problem, and different parts are highlighted, so that the fault is positioned;
when a missing link occurs, positioning to a missing position, and alarming the network operation state fault;
when the redundant link appears, the network is positioned to the redundant link to alarm the illegal access of the network.
CN201911052999.3A 2019-10-31 2019-10-31 Intelligent substation process layer physical link fault positioning system Pending CN110752959A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112511655A (en) * 2021-02-04 2021-03-16 国能信控互联技术有限公司 Intelligent safety power utilization monitoring system based on fusion internet of things technology

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112511655A (en) * 2021-02-04 2021-03-16 国能信控互联技术有限公司 Intelligent safety power utilization monitoring system based on fusion internet of things technology

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