CN114172269B - Fault diagnosis and evaluation system for intelligent substation secondary equipment - Google Patents
Fault diagnosis and evaluation system for intelligent substation secondary equipment Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00001—Circuit 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 characterised by the display of information or by user interaction, e.g. supervisory control and data acquisition systems [SCADA] or graphical user interfaces [GUI]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00002—Circuit 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 characterised by monitoring
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit 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
- H02J13/00006—Circuit 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 characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment
- H02J13/00028—Circuit 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 characterised by information or instructions transport means between the monitoring, controlling or managing units and monitored, controlled or operated power network element or electrical equipment involving the use of Internet protocols
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- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The invention relates to a fault diagnosis and evaluation system for intelligent substation secondary equipment, which comprises a monitoring module, a management information module and a diagnosis and evaluation module, wherein the monitoring module, the management information module and the diagnosis and evaluation module perform information interaction through a network management protocol; the monitoring module is used for responding to the information request and the action request of the diagnosis and evaluation module and reporting abnormal information; the management information module is used for integrating and managing various diagnosis and evaluation parameters; the diagnosis and evaluation module is used for sending an information request and an action request to the monitoring module, reading the numerical value of the object in the management information module and carrying out fault diagnosis and state evaluation; the system provided by the invention can realize rapid fault diagnosis and evaluation aiming at various defects of intelligent equipment.
Description
Technical Field
The invention belongs to the field of intelligent substation fault diagnosis and evaluation, and particularly relates to a fault diagnosis and evaluation system for secondary equipment of an intelligent substation.
Background
The monitoring and testing of the secondary equipment of the transformer substation is hoped to reduce manual intervention as much as possible, and even the monitoring and testing process does not need personnel monitoring and operation, the monitoring and testing can be efficiently, orderly and comprehensively carried out, namely, the full-automatic monitoring and testing can be carried out. To achieve the point, the monitoring system and the tested equipment have data communication capability, the monitoring system can obtain basic information and fixed values of the equipment, and the equipment can be subjected to operations such as switching protection and fixed value group switching in the testing process.
The intelligent substation secondary equipment adopts a unified IEC61850 information model, is accessed into a substation communication network according to a unified communication standard, has good interoperability and full-automatic testing potential, and creates good conditions and means for realizing automatic and intelligent state monitoring of the substation secondary equipment.
If CN104701983A discloses a system for diagnosing and evaluating the state of secondary equipment of a transformer substation, a system master station consists of a master station database server, a master station GIS server, a master station WEB server and a master station longitudinal communication server; the substation is composed of a station end state monitoring device. The state diagnosis and state evaluation system completes state diagnosis and equipment state evaluation flow management, equipment state quantity inquiry, equipment state qualitative evaluation, equipment state quantitative evaluation, equipment state evaluation comprehensive inquiry, equipment state evaluation report and other evaluation works of receiving substation uploading data, such as state abnormality analysis, state fault diagnosis, fault intelligent alarm, fault statistics report and alarm rule base maintenance. However, the technical scheme does not perform mechanism analysis on various defects, and cannot realize accurate fault location analysis.
Therefore, how to obtain a system capable of realizing rapid fault diagnosis and evaluation for various defects of intelligent equipment is a technical problem to be solved in the field.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a fault diagnosis and evaluation system for secondary equipment of an intelligent substation, which can realize rapid fault diagnosis and evaluation for various defects of intelligent equipment.
The fault diagnosis and evaluation system for the intelligent substation secondary equipment comprises a monitoring module, a management information module and a diagnosis and evaluation module, wherein the monitoring module, the management information module and the diagnosis and evaluation module conduct information interaction through a network management protocol;
the monitoring module is used for responding to the information request and the action request of the diagnosis and evaluation module and reporting abnormal information;
the management information module is used for integrating and managing various diagnosis and evaluation parameters;
the diagnosis and evaluation module is used for sending an information request and an action request to the monitoring module, reading the numerical value of the object in the management information module and carrying out fault diagnosis and state evaluation.
Further, the diagnosis and evaluation module comprises an equipment platform sub-module, a protection measurement and control sub-module, a merging unit sub-module and an intelligent terminal sub-module;
the equipment platform sub-module is used for analyzing defects of equipment platform class, wherein the defects of the equipment platform class comprise at least one of abnormal light intensity, broken GOOSE chain and inconsistent GOOSE overhaul;
the protection measurement and control submodule is used for analyzing defects of protection measurement and control equipment, wherein the defects of the protection measurement and control equipment comprise at least one of jump-in loop abnormality, GOOSE opening abnormality, failure opening abnormality, remote jump abnormality, disconnection of a protection measurement and control loop, incorrect sampling value, incorrect differential current, abnormal MMS communication, SV disconnection, SV invalidation and constant value verification error;
the merging unit class submodule is used for analyzing defects of merging unit classes, wherein the defects of the merging unit classes comprise at least one of SV total alarm, synchronization abnormality and optocoupler power supply abnormality;
the intelligent terminal sub-module is used for analyzing defects of the intelligent terminal, wherein the defects of the intelligent terminal comprise at least one of disconnection, abnormal time setting and abnormal pressure of a circuit breaker of a terminal control loop.
Further, the equipment platform submodule comprises a light intensity abnormality analysis unit, the light intensity abnormality analysis unit is used for receiving the light intensity abnormality signal sent by the monitoring module, starting fault diagnosis search, searching port information of the IED device A positioned in the opposite side device by adopting an SPCD model, and performing fault investigation analysis on parameter values of the switch, the sending side device B and the path between the device A and the device B in the management information module.
Further, the equipment platform sub-module further includes a GOOSE link failure analysis unit, where the GOOSE link failure analysis unit is configured to receive a GOOSE link failure signal sent by the monitoring module, search the IED device with an SCD model to obtain a GOOSE message, and perform fault investigation analysis on information of a GOOSE message format, the IED device, a GOOSE storm, and a GOOSE control block in the management information module.
Further, the protection measurement and control submodule comprises a trip loop abnormality analysis unit, the trip loop abnormality analysis unit is used for performing fault investigation analysis on the configuration of the switch and the intelligent terminal and the parameter values decoded by the intelligent terminal in the management information module by performing fault investigation analysis on the trip loop abnormality signals sent by the monitoring module, positioning the IED device A and the trip port and adopting an SPCD model to search a physical path.
Further, the protection measurement and control sub-module further comprises an opening exception analysis unit, wherein the opening exception analysis unit is used for performing fault analysis of at least one defect of GOOSE opening exception, failure opening exception, far jump exception and protection measurement and control loop disconnection;
and the access abnormality analysis unit receives the access abnormality signal sent by the monitoring module, positions the IED device A and the port, searches a physical device or an intelligent terminal by adopting an SPCD model, and performs fault investigation analysis on the state or network parameters of the sending and receiving device in the management information module.
Further, the network component parameters comprise network component failure actions, network component far-jump and network component jump positions and positions.
Further, the merging unit sub-module includes a synchronization anomaly analysis unit, where the synchronization anomaly analysis unit is configured to receive the synchronization anomaly signal of the merging unit sent by the monitoring module, obtain all GOOSE alarm information of the merging unit in the management information module through a positioning device, and perform fault investigation analysis on all GOOSE alarm information.
Further, the intelligent terminal submodule comprises a defect analysis unit based on abnormal optocoupler, and the defect analysis unit based on abnormal optocoupler is used for receiving a control loop disconnection and/or breaker pressure abnormality triggering signal sent by the monitoring module, acquiring abnormal optocoupler information and at least one of normally closed contact, normally open contact and breaker pressure in the management information module, and performing fault investigation analysis.
Further, acquiring abnormal information of the optocouplers, information of the normally-closed contacts and information of the normally-open contacts in the management information module, and performing fault investigation analysis on the defects of disconnection of the control loop;
and acquiring opto-coupler abnormality information and breaker pressure information in the management information module, and performing fault investigation analysis on the defect of the breaker pressure abnormality.
The fault diagnosis and evaluation system for the intelligent substation secondary equipment provided by the invention at least comprises the following beneficial effects:
the system provided by the invention integrates the diagnosis and evaluation modules comprising a plurality of sub-modules through the monitoring module and the management information module, triggers analysis and retrieval logic according to abnormal information, realizes rapid fault positioning through corresponding retrieval logic, can analyze, diagnose and evaluate the occurrence mechanism of various defects of the intelligent equipment, and realizes the automatic and intelligent state monitoring of the secondary equipment of the intelligent substation so as to improve the working efficiency of operation and maintenance personnel.
Drawings
The above, as well as additional purposes, features, and advantages of exemplary embodiments of the present disclosure will become readily apparent from the following detailed description when read in conjunction with the accompanying drawings. Several embodiments of the present disclosure are illustrated by way of example, and not by way of limitation, in the figures of the accompanying drawings and in which like reference numerals refer to similar or corresponding parts and in which:
fig. 1 is a schematic structural diagram of an embodiment of a fault diagnosis and evaluation system for intelligent substation secondary equipment provided by the invention;
FIG. 2 is a schematic diagram of a detailed structure of an embodiment of a fault diagnosis and assessment system for intelligent substation secondary equipment provided by the invention;
FIG. 3 is a flow chart of an embodiment of a method for monitoring light intensity anomalies provided by the present invention;
FIG. 4 is a flowchart of an embodiment of a GOOSE link breakage monitoring method provided by the present invention;
FIG. 5 is a flowchart of an embodiment of a method for monitoring a trip loop anomaly provided by the present invention;
FIG. 6 is a flowchart of an embodiment of a GOOSE entry anomaly monitoring method provided by the present invention;
FIG. 7 is a flow chart of one embodiment of a method for monitoring a malfunction entry exception provided by the present invention;
FIG. 8 is a flow chart of one embodiment of a method for remote anomaly monitoring provided by the present invention;
FIG. 9 is a flowchart of an embodiment of a method for monitoring disconnection of a protection measurement and control loop according to the present invention;
FIG. 10 is a flow chart of one embodiment of a method for synchronous exception monitoring provided by the present invention;
FIG. 11 is a flowchart of an embodiment of a method for monitoring disconnection of a control loop of a terminal class based on defect analysis of an opto-coupler abnormality;
FIG. 12 is a flow chart of one embodiment of a method for monitoring circuit breaker pressure anomalies provided by the present invention;
reference numerals illustrate: the system comprises a 1-monitoring module, a 2-management information module, a 3-diagnosis evaluation module, a 31-equipment platform sub-module, a 32-protection measurement and control sub-module, a 33-merging unit sub-module, a 34-intelligent terminal sub-module, a 311-light intensity anomaly analysis unit, a 312-GOOSE broken chain analysis unit, a 321-jump loop anomaly analysis unit, a 322-start anomaly analysis unit, a 331-synchronization anomaly analysis unit and a 341-defect analysis unit based on optical coupling anomaly.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be further described in detail with reference to the accompanying drawings.
Referring to fig. 1, in some embodiments, a fault diagnosis and evaluation system for secondary equipment of an intelligent substation is provided, including a monitoring module 1, a management information module 2, and a diagnosis and evaluation module 3, where the monitoring module 1, the management information module 2, and the diagnosis and evaluation module 3 interact information through a network management protocol;
the monitoring module 1 is used for responding to the information request and the action request of the diagnosis evaluation module 3 and reporting abnormal information;
the management information module 2 is used for collecting and managing various diagnosis and evaluation parameters;
the diagnosis and evaluation module 3 is used for sending information requests and action requests to the monitoring module 1, reading the numerical value of the object in the management information module 2, and performing fault diagnosis and state evaluation.
In one embodiment, the monitoring module 1 specifically adopts a monitoring system host, the diagnosis and evaluation module 3 specifically adopts a diagnosis and evaluation substation, the monitoring module 1 adopts an SNMP protocol, and the monitoring module 1 interacts important parameter information required for fault diagnosis and evaluation to the upper management information module 2.
The process state, network state, database state, CPU occupancy rate, abnormal downtime, etc. of the monitoring module 1 are important parameters for fault diagnosis and evaluation, and the management information module 2 may be MIB (management information base), that is, a set of parameters for managing each diagnosis and evaluation. The diagnosis evaluation module 3 performs fault diagnosis and status evaluation by reading the values of the objects in the MIB.
In one embodiment, the fault diagnosis and assessment system is developed based on open source software net-snmp-5.4.2. The MIB as the management information module 2 is developed by itself according to the functional requirements of the management end and the definition of the nodes. The program is realized by converting the MIB library into an agent program framework by utilizing a mix 2c tool, and then further development is performed based on the framework. Finally, the developed agent is statically compiled into a net-snmp framework, which it will register into. The registration method is to respectively establish a c file and a header file under a specific directory (taking a agent/nibgroup/block directory as an example), for example, names are respectively taken as a block.c and a block.h, store all c programs and header files (such as xxx.c and xxx.h) developed by oneself in the block, then add a module_required (xxx) in the block.h, and keep up with when configured: -with-mia_modules= "band" to configure Makefile to load the xxx files (there may be multiple xxx files) under the band file at compile time.
Referring to fig. 2, the diagnostic evaluation module 3 includes an equipment platform class submodule 31, a protection measurement and control class submodule 32, a merging unit class submodule 33, and an intelligent terminal submodule 34;
the equipment platform class submodule 31 is used for analyzing defects of equipment platform classes, wherein the defects of the equipment platform classes comprise at least one of abnormal light intensity, broken GOOSE chain and inconsistent GOOSE overhaul;
the protection measurement and control submodule 32 is used for analyzing defects of protection measurement and control equipment, wherein the defects of the protection measurement and control equipment comprise at least one of jump loop abnormality, GOOSE start abnormality, failure start abnormality, remote jump abnormality, disconnection of a protection measurement and control loop, incorrect sampling value, incorrect differential current, abnormal MMS communication, SV broken link, SV invalid and constant value verification error;
the merging unit class submodule 33 is used for analyzing defects of merging unit classes, wherein the defects of the merging unit classes comprise at least one of SV total alarm, synchronization abnormality and optocoupler power supply abnormality;
the intelligent terminal sub-module 34 is configured to analyze the intelligent terminals for defects including at least one of terminal-type control loop disconnection, time-tick anomalies, and circuit breaker pressure anomalies.
The equipment platform sub-module 31 includes a light intensity anomaly analysis unit 311, where the light intensity anomaly analysis unit 311 is configured to receive a light intensity anomaly signal sent by the monitoring module 1, start fault diagnosis search, search port information of the IED device a located in the side device by using the SPCD model, and perform fault investigation analysis on parameter values of the switch, the sending side device B, and paths between the device a and the device B in the management information module 2.
The analysis of the light intensity anomalies is to check whether the physical connection of the optical fibers is correct or not, and generally mainly refers to the light intensity analysis of the process layer. The light intensity abnormality mainly reflects physical connection information, and basically, the light intensity is weaker and cannot meet the requirement of sensitivity, so that in order to analyze and locate faults aiming at the light intensity abnormality, various devices including a switch can be required to provide light intensity receiving and transmitting information. Referring to fig. 3, a specific method for monitoring abnormal light intensity is provided herein:
(1) Triggering fault diagnosis and search by the light intensity abnormal signal;
(2) Positioning IED device A and port information through MMS;
(3) Searching for device and port information on the opposite side through SPCD;
(4) Judging whether the opposite side is a switch, if so, acquiring the switch sending light intensity through SNMP, and if not, acquiring the opposite side sending light intensity through MMS;
(5) By judging the light intensity of the transmitting side and the light intensity of the receiving side, it is possible to judge whether it is the physical circuit cause or the contralateral device cause.
Further fault location of the physical circuit is difficult in the present situation, and the ODF cannot intelligently provide the physical connection situation through the ODF, so that only the whole physical route can be prompted at present.
By the above fault diagnosis and analysis, it is possible to basically determine which case the light intensity abnormality is derived from an abnormality of the optical fiber connection, the optical module damage, or an abnormality of the opposite side device.
The equipment platform sub-module 31 further includes a GOOSE link failure analysis unit 312, where the GOOSE link failure analysis unit 312 is configured to receive a GOOSE link failure signal sent by the monitoring module 1, search the IED device with SCD model to obtain a GOOSE message, and perform fault detection analysis on the information of the GOOSE message format, the IED device, the GOOSE storm, and the GOOSE control block in the management information module 2.
The GOOSE link failure refers to abnormal GOOSE communication between the protection device and other external devices. The cause of GOOSE chain scission may be the following: the optical module is damaged, the optical fiber is damaged, the loss of the optical fiber is overlarge due to dust and the like, the optical fiber interface is not contacted firmly, and external equipment is powered off or locked to stop sending; the GOOSE decoding error is protected, and the GOOSE encoding of the external equipment is incorrect; the protected configuration text is incorrect and the configuration text of the external device is incorrect; switch VLAN configuration is incorrect, GOOSE network storm, and multiple devices send the same GOOSE information.
Referring to fig. 4, a specific GOOSE link breakage monitoring method is provided herein:
(1) Triggering fault diagnosis and search by a GOOSE broken-chain signal;
(2) Searching for a contralateral IED device by adopting an SCD model;
(3) Obtaining GOOSE messages by network division;
(4) Judging whether a message exists, if so, analyzing the message; if not, the intelligent terminal is abnormal;
(5) Judging whether the message format is correct, if so, acquiring the VLAN configuration of the switch through SNMP, and analyzing the condition that the GOOSE network storm is the same as the GOOSE control block through network division; if not, the intelligent terminal is abnormal;
(6) Judging whether the content analyzed in the step (5) has a problem or not, and if so, decoding the content by the device; if there is no problem, then there is a GOOSE network storm and GOOSE control block are the same.
The method has no possibility of real-time monitoring, and physical connection problems can be monitored only after communication is interrupted; decoding errors can be obtained through GOOSE information, and coding errors can be reported through analysis and prompting of network components; the incorrect configuration file can be analyzed by acquiring a message through network separation; VLAN configuration of the switch can be obtained through SNMP protocol, and can be checked on line with backup in operation; and analyzing whether storm occurs or not by network division, and whether the same control block information exists or not.
In addition, the equipment platform class submodule 31 can also be used for analyzing the problem of inconsistent GOOSE overhaul. GOOSE overhaul inconsistencies refer to overhaul inconsistencies of external equipment and protection, GOOSE data not being available, and GOOSE overhaul inconsistencies analyzed herein refer only to conditions under normal conditions of the link. GOOSE overhaul inconsistencies are monitored by the following method: acquiring overhaul positions of protection equipment through MMS, and acquiring overhaul positions of other equipment through network division; if the maintenance of the protection equipment is not reported and inconsistent, the device is judged to be misreported, and if the device is not reported and inconsistent, the next step of judgment is carried out; acquiring the overhauling position of the opposite device through the net, judging that the opposite device is overhauled if the hard overhauling pressing plate of the opposite device is put into the device, otherwise, judging that the opposite device is put into the device; and checking whether the device is put into maintenance or not, if so, judging that the device is put into maintenance, otherwise, judging that the device is wrongly reported.
The protection measurement and control submodule 32 comprises a tripping loop abnormality analysis unit 321, the tripping loop abnormality analysis unit 321 is used for performing intelligent terminal receiving protection GOOSE broken link abnormality analysis, receiving tripping loop abnormality signals sent by the monitoring module 1, positioning the IED device A and the tripping port, searching a physical path by adopting an SPCD model, and performing fault troubleshooting analysis on the configuration of the switch and the intelligent terminal and the decoded parameter values of the intelligent terminal in the management information module 2.
The relay protection of the intelligent substation adopts a GOOSE tripping mode, and is generally carried out in a direct tripping mode, compared with a traditional protection device, the tripping loop is connected in an optical fiber mode, and can be monitored through relevant alarm information. Jump loop anomalies typically have three causes: hardware causes include damage to an optical module, damage to an optical fiber, excessive loss of the optical fiber due to dust and the like, firm contact of an optical fiber interface, equipment power failure or locking and stopping sending; the software reasons include that GOOSE is not sent, and the format of the GOOSE message does not accord with SCD requirements; the network trip mode comprises incorrect switch VLAN configuration, GOOSE network storm and the same GOOSE information sent by a plurality of devices.
The tripping and closing loop abnormality information refers to abnormality of a tripping and closing loop of the protection device, generally corresponds to the fault chain of the GOOSE received and protected by the intelligent terminal, and in order to further study the tripping and closing loop abnormality, the fault chain of the GOOSE received and protected by the intelligent terminal is independently studied.
Referring to fig. 5, a specific jump loop anomaly monitoring method is provided herein:
(1) Triggering the jump loop abnormality and positioning the IED device A and a tripping port;
(2) Searching a physical path according to the SPCD;
(3) Judging whether the light passes through the switch, if so, judging the light intensity and the flow of the switch, otherwise, judging the transmitted light intensity of the opposite side device;
(4) The abnormal light intensity and flow of the switch indicates that the switch is abnormal or the physical connection has a problem, and if the switch is normal, the opposite side device sends light intensity;
(5) If the transmitted light intensity is abnormal, transmitting equipment hardware is abnormal, and if the transmitted light intensity is normal, analyzing a network message;
(6) If the message format does not meet the requirements, the message format is a software and configuration problem of the intelligent terminal;
(7) Judging whether the message format passes through the switch or not according to the requirements, and if the message format does not pass through the switch, judging the configuration of the switch, the network storm and the same control block information by the switch;
(8) The problem may be a device failure problem, or a network problem or a switch configuration problem.
The protection measurement and control sub-module 32 further includes an opening exception analysis unit 322, where the opening exception analysis unit 322 is configured to perform fault analysis of at least one defect of a GOOSE opening exception, a failure opening exception, a far jump exception, and a protection measurement and control loop break line;
the open-in anomaly analysis unit 322 receives the open-in anomaly signal sent by the monitoring module 1, positions the IED device a and the port, searches the physical device or the intelligent terminal by adopting the SPCD model, and performs fault investigation analysis on the state or the network component parameters of the transmitting and receiving device in the management information module 2. The network parameters comprise network failure action, network far jump and network jump position and position combination.
In the analysis of GOOSE opening abnormality, the switching value information of the protection device and other devices adopts GOOSE communication, and the opening value should be consistent with the actual input, which only means that the opening value is incorrect under the condition that the link is correct, and the condition that the virtual terminal connection is incorrect is not considered.
The GOOSE opening abnormality generally comes from that the remote signaling power supply of the intelligent terminal is not powered, and the remote signaling power supply is possibly tripped when the power supply is opened, and the wiring of the monitoring power supply is loose; the GOOSE receiving pressing plate is not put into the process; the station control layer information is inconsistent with the process layer information, and the device software processes the problem.
Referring to fig. 6, a specific GOOSE entry anomaly monitoring method is provided herein:
(1) Triggering GOOSE on abnormality to position IED device A and trip port;
(2) Searching for the intelligent terminal device according to the SPCD;
(3) Acquiring an 'light coupling power supply abnormality' signal of the intelligent terminal through MMS, judging whether the light coupling power supply of the intelligent terminal is abnormal, if so, remotely signaling the intelligent terminal to be abnormal, otherwise, judging whether the soft pressing plate is put into operation;
(4) Acquiring the input state of a GOOSE receiving soft pressing plate through MMS, and acquiring a process layer GOOSE and a station control layer signal when the soft pressing plate is input, otherwise, the process layer GOOSE and the station control layer signal are the reasons of the soft pressing plate;
(5) And acquiring GOOSE information through network division, acquiring GOOSE opening information through MMS, and judging whether signals of a process layer GOOSE and a station control layer are consistent or not, wherein the inconsistency is a problem of the device.
Regarding the failure entry anomaly analysis, the function is to verify whether the failure entry point is damaged. When the failure opening exceeds 10s, the device is generally set to be 1, and the failure opening abnormality is reported, and the device returns after 10s delay. The reason for the failure to open into the abnormality is that the GOOSE signal for the external device to start failure is 1 for a long period of time.
Referring to fig. 7, a specific failure entry anomaly monitoring method is provided herein:
(1) Triggering 'failure opening abnormality', and positioning an IED device A and a tripping port;
(2) Searching for a physical device according to the SPCD;
(3) Monitoring the failure action GOOSE through a network analyzer, and if the failure action GOOSE is 1 for a long time, judging that the contralateral protection device is abnormal; if the GOOSE message on the network is not 1, the device itself is a problem.
With respect to far jump anomaly analysis, the function is to verify if the far jump point is damaged. When the other protection actions are started and exceed 4s, setting a 1, reporting a far jump abnormality, and delaying for 10s to return. The receiving side receives other protection actions and sets 1 when the other protection actions exceed 4s, reports far jump abnormality and returns after time delay of 10s. The reason for the far jump abnormality is that the external device far jump GOOSE signal is 1 for a long period of time.
Referring to fig. 8, a specific method for monitoring a remote jump abnormality is provided herein:
(1) Triggering 'remote jump abnormality', and positioning an IED device A and a tripping port;
(2) Searching for a physical device according to the SPCD;
(3) Monitoring the GOOSE action time of all bus tripping through a network analyzer, and indicating that the protection device is abnormal if the GOOSE action time is 1 to more than 4 seconds for a long time, so that an alarm can be prompted; if the GOOSE message on the network is not 1, the device itself is a problem.
Regarding control loop disconnection analysis, the function is to detect the integrity of the secondary operation loop, mainly monitor the jump and the close, and report the control loop disconnection when both are 0. The reason for the disconnection of the control loop is that the jump bit and the on/off bit of the intelligent terminal are opened to 0.
Referring to fig. 9, a specific protection measurement and control loop disconnection monitoring method is provided herein:
(1) Triggering a control loop disconnection, and positioning an IED device A and a tripping port;
(2) Searching for an intelligent terminal according to the SPCD;
(3) Monitoring the sending states of the jump bit and the close bit of the intelligent terminal through a network analyzer, and if the jump bit and the close bit on the network are not 0, the problem of the device is solved; and if the value is 0, the intelligent terminal is abnormal or a primary mechanism problem.
In addition, the protection measurement and control submodule 32 can be used for analyzing the problems of incorrect sampling value, incorrect differential current, abnormal MMS communication, SV broken link, SV invalid, error in fixed value verification and the like.
The merging unit sub-module 33 includes a synchronization anomaly analysis unit 331, where the synchronization anomaly analysis unit 331 is configured to receive a synchronization anomaly signal of the merging unit sent by the monitoring module 1, obtain all GOOSE alarm information of the merging unit in the management information module 2 through the positioning device, and perform fault investigation analysis on all GOOSE alarm information.
Regarding the synchronization abnormality analysis, synchronization abnormality means that the merging unit loses the synchronization signal for more than 10s. The synchronization abnormality is generally caused by a timing source abnormality, an optical fiber connection abnormality, and a timing value setting error.
Referring to fig. 10, a specific synchronization anomaly monitoring method is provided herein:
(1) Triggering 'synchronization abnormality';
(2) Acquiring all GOOSE alarm information of the merging unit in the management information module 2 through a positioning device;
(3) Judging whether the information is abnormal or not, wherein the abnormal explanation of all merging units is a time source problem; otherwise, the device is in self problem, abnormal wiring or fault of the time source signal of the pair.
In addition, the merging unit class submodule 33 can also be used for SV total alarm analysis and optocoupler power abnormality analysis.
The intelligent terminal sub-module 34 includes an optical coupling abnormality-based defect analysis unit 341, where the optical coupling abnormality-based defect analysis unit 341 is configured to receive a terminal control loop disconnection and/or breaker pressure abnormality trigger signal sent by the monitoring module 1, obtain optical coupling abnormality information and at least one of a normally closed contact, a normally open contact, and breaker pressure in the management information module 2, and perform fault detection analysis.
Acquiring abnormal information of an optocoupler, information of a normally-closed contact and information of a normally-open contact in a management information module 2, and performing fault investigation analysis on the broken line defect of a terminal type control loop;
and acquiring opto-coupler abnormality information and breaker pressure information in the management information module 2, and performing fault investigation analysis on defects of the breaker pressure abnormality.
Regarding the defect analysis of the disconnection of the terminal type control loop, in order to detect the integrity of the secondary operation loop, the jump and the closing are mainly monitored, and when the jump and the closing are 0, the disconnection of the control loop is reported. The reason for generating the control loop disconnection is that the jump bit and the close bit of the intelligent terminal are opened to be 0.
Referring to fig. 11, a specific terminal-type control loop disconnection monitoring method is provided herein:
(1) Triggering a control loop wire breakage;
(2) The positioning device acquires an optical coupler abnormality signal;
(3) Monitoring an 'optical coupler abnormality' signal through a network analyzer, if the signal is abnormal, the signal is a remote signaling power supply problem, and if the signal is not abnormal, monitoring jump and closing;
(4) Monitoring the skip and closing GOOSE sending states of the intelligent terminal through a network analyzer, and if no switch-in exists, the intelligent terminal is an external wiring problem or a device self problem; if there is an on, then this happens truly.
The circuit breaker pressure anomaly analysis is to monitor whether the circuit breaker pressure is normal. The cause of the abnormality is generally: the remote signaling power supply is not powered, and the pressure abnormal wiring of the circuit breaker is loosened due to the fact that the remote signaling power supply is free to trip.
Referring to fig. 12, a specific method for monitoring pressure anomalies in a circuit breaker is provided herein:
(1) Triggering a breaker pressure anomaly;
(2) The positioning device acquires an optical coupler abnormality signal;
(3) Acquiring an 'optical coupling power supply abnormality' signal through a GOOSE, wherein the signal is used for monitoring a remote signaling positive power supply, if the signal is abnormal, the signal is a remote signaling power supply problem, and if the signal is not abnormal, the pressure abnormality of a circuit breaker is monitored;
(4) And acquiring a pressure abnormal signal through the GOOSE, wherein if the pressure abnormal signal is not started, the pressure abnormal signal is an external wiring problem or a device self problem, and otherwise, the pressure abnormal signal is actually generated.
In addition, the intelligent terminal sub-module 34 may also be used for time-lapse anomaly analysis.
The reasons for the occurrence of the time synchronization abnormality are generally time synchronization source abnormality, time synchronization mode setting error and wiring error. The monitoring method comprises the following steps: providing output monitoring for the time synchronization source, and acquiring time synchronization source information through GOOSE; setting errors in a time setting mode, and obtaining a time setting value through GOOSE; there is currently no direct monitoring means.
According to the fault diagnosis and evaluation system for the intelligent substation secondary equipment, provided by the embodiment, the diagnosis and evaluation modules comprising the plurality of sub-modules are integrated through the monitoring module and the management information module, the analysis and retrieval logic is triggered according to the abnormal information, the fault is rapidly positioned through the corresponding retrieval logic, the mechanism of occurrence of various defects of the intelligent equipment can be analyzed, diagnosed and evaluated, the automatic and intelligent state monitoring of the substation secondary equipment is realized, and the working efficiency of operation and maintenance personnel is improved.
The foregoing description of the preferred embodiments of the present invention has been presented for purposes of clarity and understanding, and is not intended to limit the invention to the particular embodiments disclosed, but is intended to cover all modifications, alternatives, and improvements within the spirit and scope of the invention as outlined by the appended claims.
Claims (8)
1. The fault diagnosis and evaluation system for the intelligent substation secondary equipment is characterized by comprising a monitoring module, a management information module and a diagnosis and evaluation module, wherein the monitoring module, the management information module and the diagnosis and evaluation module conduct information interaction through a network management protocol;
the monitoring module is used for responding to the information request and the action request of the diagnosis and evaluation module and reporting abnormal information;
the management information module is used for integrating and managing various diagnosis and evaluation parameters;
the diagnosis and evaluation module is used for sending an information request and an action request to the monitoring module, reading the numerical value of the object in the management information module and carrying out fault diagnosis and state evaluation;
the diagnosis and evaluation module comprises an equipment platform sub-module, a protection measurement and control sub-module, a merging unit sub-module and an intelligent terminal sub-module;
the intelligent terminal submodule comprises a defect analysis unit based on abnormal optocouplers, wherein the defect analysis unit based on abnormal optocouplers is used for receiving a terminal control loop disconnection and breaker pressure abnormality trigger signal sent by the monitoring module, acquiring information of the abnormal optocouplers, normally closed contacts and normally open contacts in the management information module, performing fault investigation analysis on defects of the terminal control loop disconnection, acquiring the abnormal optocouplers and breaker pressure information in the management information module, and performing fault investigation analysis on the defects of the breaker pressure abnormality.
2. The system of claim 1, wherein the equipment platform class submodule is configured to analyze defects of an equipment platform class, the defects of the equipment platform class including at least one of light intensity anomalies, GOOSE link breaks, and GOOSE overhaul inconsistencies;
the protection measurement and control submodule is used for analyzing defects of protection measurement and control equipment, wherein the defects of the protection measurement and control equipment comprise at least one of jump-in loop abnormality, GOOSE opening abnormality, failure opening abnormality, remote jump abnormality, disconnection of a protection measurement and control loop, incorrect sampling value, incorrect differential current, abnormal MMS communication, SV disconnection, SV invalidation and constant value verification error;
the merging unit class submodule is used for analyzing defects of merging unit classes, wherein the defects of the merging unit classes comprise at least one of SV total alarm, synchronization abnormality and optocoupler power supply abnormality.
3. The system according to claim 2, wherein the equipment platform sub-module includes a light intensity anomaly analysis unit, the light intensity anomaly analysis unit is configured to receive a light intensity anomaly signal sent by the monitoring module, initiate a fault diagnosis search, search port information of the IED device a located in the side device using an SPCD model, and perform fault troubleshooting analysis on parameter values of the switch, the transmitting side device B, and paths between the device a and the device B in the management information module.
4. The system of claim 3, wherein the equipment platform sub-module further comprises a GOOSE link failure analysis unit, the GOOSE link failure analysis unit is configured to receive a GOOSE link failure signal sent by the monitoring module, search an IED device using an SCD model to obtain a GOOSE message, and perform troubleshooting analysis on information of a GOOSE message format, an IED device, a GOOSE storm, and a GOOSE control block in the management information module.
5. The system of claim 2, wherein the protection and measurement and control submodule comprises a trip loop anomaly analysis unit, the trip loop anomaly analysis unit is used for performing fault detection analysis on the configuration of a switch and an intelligent terminal and the parameter values decoded by the intelligent terminal in the management information module by performing fault detection analysis on the fault detection of the switch and the intelligent terminal, the configuration of the intelligent terminal, and the parameter values decoded by the intelligent terminal, by receiving a trip loop anomaly signal sent by the monitoring module, positioning an IED device a and a trip port and adopting an SPCD model.
6. The system of claim 5, wherein the protection measurement and control sub-module further comprises an on-line anomaly analysis unit for performing fault analysis of at least one defect of a GOOSE on-line anomaly, a failure on-line anomaly, a far-jump anomaly, and a protection measurement and control loop break line;
and the access abnormality analysis unit receives the access abnormality signal sent by the monitoring module, positions the IED device A and the port, searches a physical device or an intelligent terminal by adopting an SPCD model, and performs fault investigation analysis on the state or network parameters of the sending and receiving device in the management information module.
7. The system of claim 6, wherein the network component parameters include network component failure actions, network component far hops, and network component hops and co-ordinates.
8. The system of claim 2, wherein the merging unit class submodule includes a synchronization anomaly analysis unit, the synchronization anomaly analysis unit is configured to receive a synchronization anomaly signal of the merging unit sent by the monitoring module, obtain all GOOSE alarm information of the merging unit in the management information module through a positioning device, and perform troubleshooting analysis on all GOOSE alarm information.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2223314A1 (en) * | 1996-12-03 | 1998-06-03 | Kabushiki Kaisha Toshiba | Electric power system protection and control system and distributed control system |
JP2010171652A (en) * | 2009-01-21 | 2010-08-05 | Nippon Telegr & Teleph Corp <Ntt> | Optical line fault section estimation system and fault section estimation apparatus |
CN102818991A (en) * | 2012-07-29 | 2012-12-12 | 中国北车集团大连机车车辆有限公司 | Fault prompting method for electric locomotive main breaker incapable of closing |
CN103607240A (en) * | 2013-11-29 | 2014-02-26 | 国家电网公司 | Method and device for fault judgment in breakage process of link of intelligent substation |
CN108053332A (en) * | 2017-10-25 | 2018-05-18 | 中国电力科学研究院有限公司 | A kind of fault-tree auto-synthesis method and system based on configuration file |
CN111864902A (en) * | 2020-07-01 | 2020-10-30 | 国网青海省电力公司西宁供电公司 | Intelligent substation secondary equipment fault comprehensive analysis system based on big data |
CN111948489A (en) * | 2020-07-27 | 2020-11-17 | 国网山东省电力公司电力科学研究院 | Intelligent substation secondary equipment board card-level abnormal defect diagnosis and positioning method and system |
US10868422B1 (en) * | 2020-06-08 | 2020-12-15 | North China Electric Power University | Active protection system and method for photovoltaic direct current distribution system |
CN113346614A (en) * | 2021-05-28 | 2021-09-03 | 国网甘肃省电力公司白银供电公司 | State evaluation system for secondary equipment of power grid intelligent substation |
-
2021
- 2021-12-10 CN CN202111506649.7A patent/CN114172269B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2223314A1 (en) * | 1996-12-03 | 1998-06-03 | Kabushiki Kaisha Toshiba | Electric power system protection and control system and distributed control system |
JP2010171652A (en) * | 2009-01-21 | 2010-08-05 | Nippon Telegr & Teleph Corp <Ntt> | Optical line fault section estimation system and fault section estimation apparatus |
CN102818991A (en) * | 2012-07-29 | 2012-12-12 | 中国北车集团大连机车车辆有限公司 | Fault prompting method for electric locomotive main breaker incapable of closing |
CN103607240A (en) * | 2013-11-29 | 2014-02-26 | 国家电网公司 | Method and device for fault judgment in breakage process of link of intelligent substation |
CN108053332A (en) * | 2017-10-25 | 2018-05-18 | 中国电力科学研究院有限公司 | A kind of fault-tree auto-synthesis method and system based on configuration file |
US10868422B1 (en) * | 2020-06-08 | 2020-12-15 | North China Electric Power University | Active protection system and method for photovoltaic direct current distribution system |
CN111864902A (en) * | 2020-07-01 | 2020-10-30 | 国网青海省电力公司西宁供电公司 | Intelligent substation secondary equipment fault comprehensive analysis system based on big data |
CN111948489A (en) * | 2020-07-27 | 2020-11-17 | 国网山东省电力公司电力科学研究院 | Intelligent substation secondary equipment board card-level abnormal defect diagnosis and positioning method and system |
CN113346614A (en) * | 2021-05-28 | 2021-09-03 | 国网甘肃省电力公司白银供电公司 | State evaluation system for secondary equipment of power grid intelligent substation |
Non-Patent Citations (5)
Title |
---|
基于多源数据的保护就地化变电站智能感知与诊断技术研究;徐祥海;吴靖;秦波;侯伟宏;韩民畴;;电气技术;20191215(第12期);全文 * |
张志强 ; 黄佳胤 ; 罗琨 ; .电网智能运维管理系统.云南电力技术.2018,(第04期),全文. * |
智能变电站二次电缆回路建模方法研究与应用;郝晓光;耿少博;任江波;杨经超;周坤;张炳旺;;电力科学与技术学报(第04期);全文 * |
电网智能运维管理系统;张志强;黄佳胤;罗琨;;云南电力技术(第04期);全文 * |
郝晓光 ; 耿少博 ; 任江波 ; 杨经超 ; 周坤 ; 张炳旺 ; .智能变电站二次电缆回路建模方法研究与应用.电力科学与技术学报.2020,(第04期),全文. * |
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