CN104979908A - Substation network online failure analysis method - Google Patents
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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- Y—GENERAL 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
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Abstract
The invention discloses a substation network online failure analysis method which comprises two parts of module setting and process realizing. Four modules are arranged. A failure message acquiring module, a failure message parsing module, an analysis and diagnostic module and a result display module are connected in turn. According to process realizing, through online, real-time or substation message information, a message undergoes a series of parsing and analyzing to ultimately determine whether a substation network system is failed, and a result is informed to operation personnel. According to the invention, the method can automatically and quickly find out the cause of a substation network failure; the deficiency of manual failure troubleshooting in the prior art is solved; the time for determining the network failure is shortened; and the efficiency of network failure handling of a substation is improved.
Description
Technical field
The invention belongs to transformer station, especially intelligent substation intelligent grid on-line analysis technical field.
Background technology
Intelligent substation is the important component part that intelligent grid is built, and an one important feature is secondary information Network Transmitting, thus instead of traditional secondary wiring mode.The Network Transmitting pattern of substation secondary information makes the information sharing level of various equipment room in station be greatly improved compared with traditional mode with interoperability level and improve, for the development realizing intelligent grid presents good development prospect.But under which, the performance of the link such as protection sampling, breaker tripping and closing, startup, locking of transformer station secondary system and reliability all depend on the transmission of the network information to a certain extent.Current, just correlative study is launched to substation communication network both at home and abroad, but lack relevant ripe technology, especially under substation communication network exception and failure condition, the secondary device message correctness how district office receives ensures that secondary device energy is correct, the key of reliability service.But in station, the fault model combing of various communication message is clear not at present, brings very large risk to the operation of electrical secondary system.Therefore, in order to make electrical secondary system energy safe and reliable operation, the research of the online accident analysis of substation network is seemed necessity very and urgent.
For realizing the on-line monitoring of transformer station, a kind of technology mainly taked at present is the presence of assessment transformer station secondary system.This technology is by gathering secondary device presence (comprising protection, observing and controlling, merge cells, intelligent operation box, clock, fault oscillograph, communication equipment etc.) and secondary network presence to object database, and wherein object database deposits data to be analyzed from monitored secondary device and historical data.Then screen by utilizing electrical secondary system online evaluation information substation the information in object database and the condition in expert knowledge library to be carried out mating, last expert knowledge library provides the conclusion of assessment according to matching result.Although this technology can distinguish electrical secondary system fault, not automatic failure cause to be analyzed, experienced operations staff must be relied on and just can find failure cause to accident analysis, bring inconvenience to substation operation, fault recovery work etc.And interior message amount is huge owing to standing, if all detailed parsing of each message, then require a great deal of time, be unfavorable for resuming work and analysis to fault under failure condition.
Summary of the invention
Object of the present invention is just in order to overcome the defect that above-mentioned prior art exists, according to current intelligent substation network monitoring system feature, the online failure analysis methods of a kind of substation network is proposed, automatically to find out rapidly substation network failure cause, make up the defect that prior art needs artificial investigation fault, shorten the time that network failure is determined, improve substation network troubleshooting efficiency.
Object of the present invention is achieved through the following technical solutions:
The online failure analysis methods of a kind of substation network, comprise module installation and realization flow two parts, described module installation has four modules, sequentially connects respectively to be: fault Receive message module, fault packet parsing module, analyzing and diagnosing module and result display module; Wherein, each module installation function is:
Fault Receive message module: utilize the various message datas in acquisition station on various secondary device in the network message recorder analyser slave station of transformer station and network; Network message recorder recites the details of all messages of transformer station, fault Receive message module utilizes its online, Real-time Obtaining transformer station secondary system message, and electrical secondary system message includes the message sent from equipment such as merge cells, measure and control device, protective device, intelligent operation box, fault oscillograph, clock, switches; Utilize the interface of this module and fault packet parsing module that the real-time packet of transformer station is sent to the latter simultaneously;
Fault packet parsing module: comprise SV analyzing sub-module, GOOSE analyzing sub-module, MMS analyzing sub-module, after fault packet parsing module receives message, first analytic message packet header, recycling header packet information judges which analyzing sub-module it belongs to, and then be sent to corresponding analyzing sub-module, resolved according to the message fault model in this module by analyzing sub-module; Fault packet parsing module carries out preliminary treatment to each message received, obtain its packet header by analytic message and judge type of message, wherein the main type of message of transformer station comprises SV message, GOOSE message, MMS message, when the message particular type judging to receive, then be sent to corresponding packet parsing submodule, carry out analytic message according to the fault model of each message;
Analyzing and diagnosing module: be respectively equipped with SV analysis submodule, GOOSE analyzes submodule, MMS analyzes submodule, these three submodules are corresponding with the submodule in fault packet parsing module, wherein SV analyzes submodule and receives and analyze the data that SV analyzing sub-module sends over, GOOSE analyzes submodule and receives and analyze the data that GOOSE analyzing sub-module sends over, and MMS analysis submodule receives and analyzes the data that MMS analyzing sub-module sends over; In analyzing and diagnosing module, the process of each analysis submodule is the same from the information process of fault packet parsing module;
Result display module: one is automatically preserved in a variety of formats by the secondary network failure analysis result sended over from analyzing and diagnosing module, forms accident analysis history library, consults failure cause for operations staff; Two is according to fault type, is shown by failure analysis result with forms such as text, form or figures, and malfunction coefficient result comprises reason that fault occurs, time, the equipment broken down or position.
Realization flow: by online, in real time or the message information of transformer station, then through a series of resolving message, analyzing, finally determine whether substation network system exists fault, and result is informed operations staff, its realization flow is as follows:
(1) the various messages in, Real-time Obtaining station online from the electrical secondary system of transformer station by network message recorder, and message is sent to packet parsing module;
(2) packet parsing module carries out preliminary treatment to the message received, and judges the type of message received, and is then sent to corresponding packet parsing submodule;
(3) pass through each message fault model of contrast in each packet parsing submodule, then parse and judge whether network system exists the information needed for fault, then be sent to analyzing and diagnosing module;
(4) to the resolving information received, each submodule in analyzing and diagnosing module judges whether this value exists exception one by one, if this value belongs to abnormal, then search the fault corresponding to this abnormal information further, analyze the reason occurring this fault, and preserve the analysis result of this submodule to fault; If this information is out of question, then next resolving information is judged, until all resolving informations are analyzed complete;
(5), after each submodule is analyzed the resolving information received, analysis result is sent to result display module;
(6) result display module is saved to accident analysis history library network system failures analysis result, in different forms result is shown according to failure condition simultaneously.
The message of the present invention by utilizing network message recorder to obtain transformer station online, in real time, online message is analyzed, again message analyzed after parsing is distinguished equipment corresponding to this message or operated and whether have problems, if existing problems find out rapidly the reason of substation network fault more automatically, the fault of substation network system can be found out rapidly, shorten the network system failures investigation time, and the reason that energy automatic analysis fault occurs, determine fault generation source point, make up the defect that prior art needs artificial investigation fault, shorten the time that network failure is determined, save the analytic message time, improve the efficiency of substation network system failure process, for the process of intelligent substation to network system failures provides a kind of effective processing method.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 is packet parsing module diagram;
Fig. 3 is the analyzing and processing process schematic of analyzing and diagnosing submodule;
Fig. 4 is the flow chart of the online accident analysis of network system.
Embodiment
The main abbreviation that the present invention relates to and Key Term are defined as follows:
SV:Sampled Values, sampled value;
GOOSE:Generic Object Oriented Substation Event, towards general object transformer substation case;
MMS:Manufacturing Message Specification, manufactures message specification;
SCD:Substation Configuration Description, substation configuration description file.
See Fig. 1, Fig. 2, Fig. 3, Fig. 4, the online failure analysis methods of a kind of substation network, comprise module installation and realization flow two parts, described module installation has four modules, sequentially connects respectively to be: fault Receive message module, fault packet parsing module, analyzing and diagnosing module and result display module.Between each module, the schematic diagram of annexation as shown in Figure 1.Each module composition and function as follows:
Fault Receive message module: utilize the various message datas in acquisition station on various secondary device in the network message recorder analyser slave station of transformer station and network; Network message recorder recites the details of all messages of transformer station, fault Receive message module utilizes its online, Real-time Obtaining transformer station secondary system message, and electrical secondary system message includes the message sent from equipment such as merge cells, measure and control device, protective device, intelligent operation box, fault oscillograph, clock, switches; Utilize the interface of this module and fault packet parsing module that the real-time packet of transformer station is sent to the latter simultaneously.
Fault packet parsing module: comprise SV analyzing sub-module, GOOSE analyzing sub-module, MMS analyzing sub-module, after fault packet parsing module receives message, first analytic message packet header, recycling header packet information judges which analyzing sub-module it belongs to, and then be sent to corresponding analyzing sub-module, resolved according to the message fault model in this module by analyzing sub-module; Fault packet parsing module carries out preliminary treatment to each message received, obtain its packet header by analytic message and judge type of message, wherein the main type of message of transformer station comprises SV message, GOOSE message, MMS message, when the message particular type judging to receive, then be sent to corresponding packet parsing submodule, carry out analytic message according to the fault model of each message.Owing to standing, interior message amount is huge, if all detailed parsing of each message, then require a great deal of time, be unfavorable for resuming work and analysis to fault under failure condition, for saving the analytic message time, raise the efficiency, the present invention proposes a kind of method that fault model according to each message carries out analytic message, packet parsing module diagram as shown in Figure 2.
1) SV analyzing sub-module
Two kinds of forms can be divided at the SV message of transformer station according to IEC61850 communication protocol at present, be respectively IEC61850-9-1 form and IEC61850-9-2 form, therefore SV fault model also correspondingly be divided into two kinds.For the SV message of IEC61850-9-1 form, its fault model content mainly comprises status word, sample counter numerical value etc. in multicast address, APPDI, logical device name, sample frequency, sampled value, message, therefore, if the message that this submodule judges belongs to IEC61850-9-1 form, then message resolved further thus obtain foregoing.For the SV message of IEC61850-9-2 form, its fault model content mainly comprises counter values, message transmitting time delay etc. in multicast address, message header packet information, sampled value, message, therefore, the SV message of this form can be resolved by above-mentioned content, and then obtain corresponding information.
2) GOOSE analyzing sub-module
Each IED equipment in transformer station relies on GOOSE message to achieve multiple automation function; as the information exchange, blocking function etc. of protection; under transformer station's normal operation; GOOSE message data volume is also little; and once break down, then its data volume sharply increases, therefore do not need thoroughly to resolve each message; and only need according to can diffServ network whether exist fault fault model resolve, the demand at analysis, looking up the fault reason place can be met.GOOSE message fault model mainly comprises the content of following four aspects:
A.GOOSE communication disruption: the minimum transmission time configured in SCD file is minTime, the stable transfer time is maxTime.When the Transmission Time Interval of two GOOSE message is greater than (maxTime × 4+minTime) this numerical value, GOOSE communication disruption can be thought.
B. message amount: from the heartbeat rule of GOOSE message, when the GOOSE message quantity in transformer station sharply increases, when reaching or be greater than 3 times of SCD file set point, then can think that transformer station exists network failure.
The accordance of c.GOOSE message: in IEC61850 stipulations, the state StNum of GOOSE message and the rule of sequence number SqNum as follows: when device is restarted, StNum and SqNum value is all 1; Remain unchanged without StNum value during new events, and SqNum value increase by 1; When StNum value reaches maximum, SqNum value becomes 1.Can judge whether each GOOSE message meets the requirements by this rule.
D. with the consistency of SCD file: in SCD file, all be configured with the application identity APPID of GOOSE message, controll block quotes Control Block Reference, data set application DataSetReference, configuration version Config Revision etc., if these information of GOOSE message and SCD file inconsistent time, then can think that GOOSE message breaks down.
Therefore, in GOOSE message analyzing sub-module, when receiving message, only need resolve to meet and be used for judging the above-mentioned information needed for GOOSE message fault model, be i.e. the transmitting time of APPID, Control Block Reference, DataSetReference, ConfigRevision, StNum, SqNum, message, the transmission frequency of heartbeat message etc.
3) MMS analyzing sub-module
MMS message fault model is imperfect by the communication process of MMS initialization, application layer, MMS communication disruption and message does not meet communication protocol, this five aspect of MMS Network Abnormal forms.Wherein initialization is mainly reflected in the COS that MMS message uses, imperfect and the communication disruption of communication process needs to differentiate from the data attribute of MMS message and data set, whether message meets the overall structure of communication protocol needs analytic message, the message model contrasting SCD file again judges, MMS Network Abnormal is then determined by message transfer time interval, link establishment and interrupt time-out, network traffics etc.Therefore, the message content of resolving is needed to comprise at this submodule: message packet header, message markers, message size, COS, data attribute, data set and overall message structure.
After each packet parsing submodule has resolved its message received, the result of parsing is sent to analyzing and diagnosing module, then by analyzing and diagnosing module, further analyzing and processing has been carried out to message.
Analyzing and diagnosing module: be respectively equipped with SV analysis submodule, GOOSE analyzes submodule, MMS analyzes submodule, these three submodules are corresponding with the submodule in fault packet parsing module, wherein SV analyzes submodule and receives and analyze the data that SV analyzing sub-module sends over, GOOSE analyzes submodule and receives and analyze the data that GOOSE analyzing sub-module sends over, and MMS analysis submodule receives and analyzes the data that MMS analyzing sub-module sends over; In analyzing and diagnosing module, the process of each analysis submodule is the same from the information process of fault packet parsing module, as shown in Figure 3, can be described as: 1. to parsing module resolve after the information that sends over be numbered, altogether be divided into N part, N is variable, and in different submodule, N value can be different; 2. one by one this N part information is judged, judge that whether the value of this information is abnormal; 3. for the information occurring exceptional value, then search the fault corresponding to this abnormal information further, and analyze the reason occurring this fault, as analyzed in submodule at SV, find that current sampling data is larger than under normal circumstances, then can search its source MAC according to message packet header, and then determine that the equipment that the merge cells sending this SV message connects breaks down; 4. after finding out the system failure, preserve the analysis result of sub-analysis module, failure analysis result comprise failure-description, reason that fault occurs, the time, the equipment broken down or position; 5. when in sub-analysis module to the message analyzing and diagnosing of taking turns through of resolving, after namely all analysis being completed to N part information, all failure analysis result are sent to result display module.
Result display module: have two functions, one is automatically preserved in a variety of formats by the secondary network failure analysis result sended over from analyzing and diagnosing module, forms accident analysis history library, consults failure cause for operations staff; Two is according to fault type, is shown by failure analysis result with forms such as text, form or figures, and malfunction coefficient result comprises the reason, time, the equipment broken down or position etc. that fault occurs.
The realization flow of the inventive method is as follows:
According to the description of above Method And Principle, the realization flow of the online failure analysis methods of a kind of substation network is mainly by message information that is online, real-time or transformer station, then through a series of resolving message, analyzing, finally determine whether substation network system exists fault, and result is informed operations staff, as shown in Figure 4, specific implementation flow process is as follows for its flow chart:
(1) the various messages in, Real-time Obtaining station online from the electrical secondary system of transformer station by network message recorder, and message is sent to packet parsing module;
(2) packet parsing module carries out preliminary treatment to the message received, and judges the type of message received, and is then sent to corresponding packet parsing submodule;
(3) pass through each message fault model of contrast in each packet parsing submodule, then parse and judge whether network system exists the information needed for fault, then be sent to analyzing and diagnosing module;
(4) to the resolving information received, each submodule in analyzing and diagnosing module judges whether this value exists exception one by one, if this value belongs to abnormal, then search the fault corresponding to this abnormal information further, analyze the reason occurring this fault, and preserve the analysis result of this submodule to fault; If this information is out of question, then next resolving information is judged, until all resolving informations are analyzed complete;
(5), after each submodule is analyzed the resolving information received, analysis result is sent to result display module;
(6) result display module is saved to accident analysis history library network system failures analysis result, in different forms result is shown according to failure condition simultaneously.
Claims (1)
1. the online failure analysis methods of substation network, it is characterized in that, comprise module installation and realization flow two parts, described module installation has four modules, sequentially connects respectively to be: fault Receive message module, fault packet parsing module, analyzing and diagnosing module and result display module; Wherein, each module installation function is:
Fault Receive message module: utilize the various message datas in acquisition station on various secondary device in the network message recorder analyser slave station of transformer station and network; Network message recorder recites the details of all messages of transformer station, fault Receive message module utilizes its online, Real-time Obtaining transformer station secondary system message, and electrical secondary system message includes the message sent from equipment such as merge cells, measure and control device, protective device, intelligent operation box, fault oscillograph, clock, switches; Utilize the interface of this module and fault packet parsing module that the real-time packet of transformer station is sent to the latter simultaneously;
Fault packet parsing module: comprise SV analyzing sub-module, GOOSE analyzing sub-module, MMS analyzing sub-module, after fault packet parsing module receives message, first analytic message packet header, recycling header packet information judges which analyzing sub-module it belongs to, and then be sent to corresponding analyzing sub-module, resolved according to the message fault model in this module by analyzing sub-module; Fault packet parsing module carries out preliminary treatment to each message received, obtain its packet header by analytic message and judge type of message, wherein the main type of message of transformer station comprises SV message, GOOSE message, MMS message, when the message particular type judging to receive, then be sent to corresponding packet parsing submodule, carry out analytic message according to the fault model of each message;
Analyzing and diagnosing module: be respectively equipped with SV analysis submodule, GOOSE analyzes submodule, MMS analyzes submodule, these three submodules are corresponding with the submodule in fault packet parsing module, wherein SV analyzes submodule and receives and analyze the data that SV analyzing sub-module sends over, GOOSE analyzes submodule and receives and analyze the data that GOOSE analyzing sub-module sends over, and MMS analysis submodule receives and analyzes the data that MMS analyzing sub-module sends over; In analyzing and diagnosing module, the process of each analysis submodule is the same from the information process of fault packet parsing module;
Result display module: one is automatically preserved in a variety of formats by the secondary network failure analysis result sended over from analyzing and diagnosing module, forms accident analysis history library, consults failure cause for operations staff; Two is according to fault type, is shown by failure analysis result with forms such as text, form or figures, and malfunction coefficient result comprises reason that fault occurs, time, the equipment broken down or position;
Realization flow: by online, in real time or the message information of transformer station, then through a series of resolving message, analyzing, finally determine whether substation network system exists fault, and result is informed operations staff, its realization flow is as follows:
(1) the various messages in, Real-time Obtaining station online from the electrical secondary system of transformer station by network message recorder, and message is sent to packet parsing module;
(2) packet parsing module carries out preliminary treatment to the message received, and judges the type of message received, and is then sent to corresponding packet parsing submodule;
(3) pass through each message fault model of contrast in each packet parsing submodule, then parse and judge whether network system exists the information needed for fault, then be sent to analyzing and diagnosing module;
(4) to the resolving information received, each submodule in analyzing and diagnosing module judges whether this value exists exception one by one, if this value belongs to abnormal, then search the fault corresponding to this abnormal information further, analyze the reason occurring this fault, and preserve the analysis result of this submodule to fault; If this information is out of question, then next resolving information is judged, until all resolving informations are analyzed complete;
(5), after each submodule is analyzed the resolving information received, analysis result is sent to result display module;
(6) result display module is saved to accident analysis history library network system failures analysis result, in different forms result is shown according to failure condition simultaneously.
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| CN106685704A (en) * | 2016-12-13 | 2017-05-17 | 云南电网有限责任公司电力科学研究院 | Checking method and checking device for secondary equipment failure of transformer substations |
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| CN111010289A (en) * | 2019-11-22 | 2020-04-14 | 国网江西省电力有限公司电力科学研究院 | Panoramic network configuration detection method for in-situ substation |
| CN111010289B (en) * | 2019-11-22 | 2022-08-16 | 国网江西省电力有限公司电力科学研究院 | Panoramic network configuration detection method for in-situ substation |
| CN111987794A (en) * | 2020-07-09 | 2020-11-24 | 国网山东省电力公司青岛供电公司 | Intelligent substation on-line monitoring and fault analysis system |
| CN113552434A (en) * | 2021-07-21 | 2021-10-26 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Oil-immersed current transformer low-temperature characteristic research system based on expert comprehensive judgment |
| CN113552434B (en) * | 2021-07-21 | 2022-06-24 | 内蒙古电力(集团)有限责任公司内蒙古电力科学研究院分公司 | Oil-immersed current transformer low-temperature characteristic research system based on expert comprehensive judgment |
| CN114688407A (en) * | 2022-03-22 | 2022-07-01 | 云南电网有限责任公司红河供电局 | Network space intelligent asset detection device |
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