CN105319482A - Power distribution network fault diagnosis system and method based on multi-source information fusion - Google Patents

Power distribution network fault diagnosis system and method based on multi-source information fusion Download PDF

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Publication number
CN105319482A
CN105319482A CN201510638498.9A CN201510638498A CN105319482A CN 105319482 A CN105319482 A CN 105319482A CN 201510638498 A CN201510638498 A CN 201510638498A CN 105319482 A CN105319482 A CN 105319482A
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China
Prior art keywords
fault
unit
information fusion
source information
fault diagnosis
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CN201510638498.9A
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Inventor
张建平
杨锐俊
施维杨
蔡燕群
刘阳
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KEDA INTELLIGENT TECHNOLOGY Co Ltd
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KEDA INTELLIGENT TECHNOLOGY Co Ltd
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Priority to CN201510638498.9A priority Critical patent/CN105319482A/en
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

Abstract

The invention relates to the technical field of power distribution and specifically relates to a fault diagnosis system and method. The power distribution network fault diagnosis method based on the multi-source information fusion comprises the following steps of: 1, collecting data information of different monitored points on a power distribution line; 2, gathering the data information; 3, extracting fault characteristics in the data information according to a set fault characteristic extraction algorithm; 4, carrying out fault diagnosis according to fault detection and determination rules; and 5, feeding a fault detection result back. The power distribution network fault detection and positioning are completed based on multi-source information fusion, and the power distribution fault detection and positioning accuracy is effectively improved.

Description

Based on the Fault Diagnosis of Distribution Network system and method for Multi-source Information Fusion
Technical field
The present invention relates to distribution technique field, be specifically related to a kind of fault diagnosis system and method.
Background technology
Power distribution fault diagnosis is the important content that distribution is produced with process, and the accuracy of wherein fault detect and location efficiency are crucial.Distribution fault comprises short trouble and earth fault, short trouble due to its feature obvious, detect relatively simple.But in actual motion, single-phase grounded malfunction in grounded system of low current probability of happening is large, and its detection and location are difficult problems, have impact on the implementation result of power distribution automation always.Current distribution fault detection method can be summarized as three major types: active method, passive method, integrated approach.Active method is by injecting signal specific, and according to input principle determination abort situation, general needs installs signal source equipment at transformer substation side, implements relative difficulty; Passive method, comprises transient method and steady state method, is to carry out failure judgement according to the variation characteristic of the voltage of circuit own, electric current before and after the fault gathered.Integrated approach is in conjunction with multi-signal Processing Algorithm, judges to judge fault based on multiple characteristics.Various method above, occur with a certain autonomous device form and complete fault detection capability mostly, as FTU (FeederTerminalUnit, Feeder Terminal Unit), fault line selection device etc., for specific circuit scene, belong to the detection method based on single-point, often there is wrong report, fail to report phenomenon, its accuracy generally only has 50 ~ 70%, detects and locate to have much room for improvement.
Summary of the invention
The object of the invention is to, a kind of Fault Diagnosis of Distribution Network system and method based on Multi-source Information Fusion is provided, solves above technical matters;
Technical matters solved by the invention can realize by the following technical solutions:
Based on the Fault Diagnosis of Distribution Network system of Multi-source Information Fusion, wherein, comprise,
Multiple signal gathering unit, for gathering the data message of monitoring point on distribution line;
Collect unit, be connected with multiple described signal gathering unit, for collecting described data message;
Fault signature extraction unit, is connected with the described unit that collects, for extracting the fault signature in described data message;
Fault detection unit, is connected with described fault signature extraction unit, carries out fault diagnosis according to fault detect decision rule;
Result feedback unit, is connected with described fault detection unit, for feeding back failure detection result.
The above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, described data message comprises electric parameters and/or switching value and/or logout and/or the recorder data for the Wave data that records monitoring point.
The above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, also comprise storage unit, be connected with described unit, described fault signature extraction unit and the described fault detection unit of collecting respectively, for storing described data message, described fault signature and described fault detect decision rule.
The above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, also comprises man-machine interaction unit, is connected respectively with described fault detection unit and described storage unit, in order to carry out associating of fault type and fault characteristic information.
The above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, also comprises self study unit, is connected with described storage unit, feeds back to described storage unit for forming fault detect rule according to failure detection result.
Also provide, a kind of Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, for the above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, comprise the following steps:
Step 1, gathers the data message of different monitoring points on distribution line;
Step 2, collects described data message;
Step 3, the fault signature extraction algorithm according to setting extracts the fault signature in described data message;
Step 4, carries out fault diagnosis according to fault detect decision rule;
Step 5, feedback failure detection result.
The above-mentioned Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, data message described in described step 1 comprises electric parameters and/or switching value and/or logout and/or the recorder data for the Wave data that records monitoring point.
The above-mentioned Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, extracts fault signature for the data of single monitoring point in described step 3 or extracts fault signature for the data of relevant multiple monitoring points.
The above-mentioned Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, described step 4 also comprises carries out fault diagnosis reasoning according to fault signature comprehensive characteristics level information fusion method.
The above-mentioned Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, described step 5 carries out associating or studying failure detection result by the mode of self study and form fault detect rule of fault type and fault characteristic information by the mode of man-machine interaction.
Beneficial effect: owing to adopting above technical scheme, the present invention is based on multisource information fusion technology and completes distribution network failure detection and positioning function, effectively can improve distribution fault and detect and Position location accuracy.
Accompanying drawing explanation
Fig. 1 is a kind of system chart of the Fault Diagnosis of Distribution Network system that the present invention is based on Multi-source Information Fusion;
Fig. 2 is the system chart of a kind of improvement of the Fault Diagnosis of Distribution Network system that the present invention is based on Multi-source Information Fusion;
Fig. 3 is the system chart of a kind of improvement of the Fault Diagnosis of Distribution Network system that the present invention is based on Multi-source Information Fusion;
Fig. 4 is the process flow diagram of the Fault Diagnosis Method for Distribution Networks that the present invention is based on Multi-source Information Fusion.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, the every other embodiment that those of ordinary skill in the art obtain under the prerequisite of not making creative work, all belongs to the scope of protection of the invention.
It should be noted that, when not conflicting, the embodiment in the present invention and the feature in embodiment can combine mutually.
Below in conjunction with the drawings and specific embodiments, the invention will be further described, but not as limiting to the invention.
With reference to Fig. 1, Fig. 2, based on the Fault Diagnosis of Distribution Network system of Multi-source Information Fusion, wherein, comprise,
Multiple signal gathering unit 1, for gathering the data message of monitoring point on distribution line;
Collecting unit 2, being connected with multiple signal gathering unit 1, for collecting data message;
Fault signature extraction unit 3, and collects unit 2 and is connected, for extracting the fault signature in data message;
Fault detection unit 4, is connected with fault signature extraction unit 3, carries out fault diagnosis according to fault detect decision rule;
Result feedback unit 5, is connected with fault detection unit 4, for feeding back failure detection result.
The above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, data message can comprise electric parameters and/or switching value and/or logout and/or the recorder data for the Wave data that records monitoring point.
The above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, with reference to figure, storage unit 6 can also be comprised, respectively with collect unit 2, fault signature extraction unit 3 and fault detection unit 4 and be connected, for storing data information, fault signature and fault detect decision rule.
Storage unit 6 can comprise record ripple storehouse, feature database and knowledge base, and knowledge base is by rule set and detect Reasoning operator embodiment, and rule set comprises various fault detect decision rule, and feature based data and threshold value are arranged.Characteristic comprises time domain data, the timely frequency domain data of frequency domain data,
The above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, with reference to Fig. 3, also comprises man-machine interaction unit, is connected respectively with fault detection unit 4 and storage unit 6, in order to carry out associating of fault type and fault characteristic information.
The above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, also comprises self study unit, is connected with storage unit, feeds back to storage unit for forming fault detect rule according to failure detection result.
Fault diagnosis of the present invention is based on the raw data of each terminal to report and characteristic, decision data, and forming comprehensive diagnos criterion, is preferential with decision information, from decision-making to original, verify judgement step by step, feature level according to adjacent end raw data, can expand multiple characteristic quantity.By being distributed in the abnormal information of each monitoring point of distribution line, under raw data is aggregated into unified framework, before and after holographic recording fault occurs, on circuit each monitoring point raw data and abnormal judge information, be conducive to truly flutterring and catch fault when occurring, the Changing Pattern of each node electric parameter of circuit.Compare single-point to detect, the criterion of comprehensive each monitoring node more comprehensively, effectively can improve the accuracy of fault detect location.
Also provide, a kind of Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, for the above-mentioned Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion, with reference to Fig. 4, comprise the following steps:
Step 1, gathers the data message of different monitoring points on distribution line;
Step 2, collects data message;
Step 3, the fault signature extraction algorithm according to setting extracts the fault signature in data message;
Step 4, carries out fault diagnosis according to fault detect decision rule;
Step 5, feedback failure detection result.
The above-mentioned Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, in step 1, data message comprises electric parameters and/or switching value and/or logout and/or the recorder data for the Wave data that records monitoring point.Pass through communication, the data message of collection is pooled to fault diagnosis system by each terminal, record ripple starts and can complete according to setting themselves condition, also can complete according to PERCOM peripheral communication instruction, so that during record trouble, the Wave data of each monitoring point before and after trouble spot, realizes the complete documentation of failure message.
The above-mentioned Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, extracts fault signature for the data of single monitoring point in step 3 or extracts fault signature for the data of relevant multiple monitoring points.To pushing the raw data of coming up, as remote measurement amount (YC), remote signalling amount (YX), particularly each electric parameters transient state recorder data, according to the fault signature extraction algorithm of agreement, complete fault signature to extract, the information fusion of data level can be realized according to the relative coefficient etc. of adjacent monitoring point collection capacity.
The above-mentioned Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, step 4 also comprises carries out fault diagnosis reasoning according to fault signature comprehensive characteristics level information fusion method.According to pretreated fault characteristic information, comprehensive characteristics level information fusion method, carries out fault diagnosis reasoning, according to predefined Failure Diagnostic Code, can carry out rule detection, complete fault diagnosis to preprocessed features information.And according to testing result, store with the form of positive sample or negative sample.
Can be Conflict solving based on original recorder data and study further and create conditions, fault detection capability is most of automatization terminal standard configuration functions, but its terminal part of each automation projects has the fault detection method of oneself, just remote measure and communication or the automation equipment uploaded have judged the testing result information drawn, and raw data does not upload requirement.When main website gathers these information and occurs conflict, often cancel fault diagnosis processing procedure because judging.And based on the diagnosis framework of failure wave-recording and Multi-source Information Fusion, can record and preserve original recorder data, both can manage conflict problem, also by carrying out new method research to original foundation, for the final solution of problem creates conditions comprehensively.
The above-mentioned Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion, step 5 carries out associating or studying failure detection result by the mode of self study and form fault detect rule of fault type and fault characteristic information by the mode of man-machine interaction.For the failure logging of unknown failure type, through manual confirmation, complete associating of fault type and fault characteristic information, also by Machine self-learning or off-line research, result of study is saved in rule base, expanding system knowledge base with rule format feedback.
Due to safety reasons, be difficult to have an opportunity by field experiment, obtain effective earth fault sample data.Then can before and after record trouble occur comprehensively by system, before and after position of failure point, the waveform change of each monitoring point, by judging process, can accumulate effective sample data, and optimizing feature extraction and diagnostic reasoning technology for Continual Improvement provides study condition.
The foregoing is only preferred embodiment of the present invention; not thereby embodiments of the present invention and protection domain is limited; to those skilled in the art; should recognize and all should be included in the scheme that equivalent replacement done by all utilizations instructions of the present invention and diagramatic content and apparent change obtain in protection scope of the present invention.

Claims (10)

1., based on the Fault Diagnosis of Distribution Network system of Multi-source Information Fusion, it is characterized in that, comprise,
Multiple signal gathering unit, for gathering the data message of monitoring point on distribution line;
Collect unit, be connected with multiple described signal gathering unit, for collecting described data message;
Fault signature extraction unit, is connected with the described unit that collects, for extracting the fault signature in described data message;
Fault detection unit, is connected with described fault signature extraction unit, carries out fault diagnosis according to fault detect decision rule;
Result feedback unit, is connected with described fault detection unit, for feeding back failure detection result.
2. the Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion according to claim 1, it is characterized in that, described data message comprises electric parameters and/or switching value and/or logout and/or the recorder data for the Wave data that records monitoring point.
3. the Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion according to claim 1, it is characterized in that, also comprise storage unit, be connected with described unit, described fault signature extraction unit and the described testing result unit of collecting respectively, for storing described data message, described fault signature and described fault detect decision rule.
4. the Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion according to claim 1, it is characterized in that, also comprise man-machine interaction unit, be connected with described fault detection unit and described storage unit respectively, in order to carry out associating of fault type and fault characteristic information.
5. the Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion according to claim 3, it is characterized in that, also comprising self study unit, be connected with described storage unit, feeding back to described storage unit for forming fault detect rule according to failure detection result.
6. based on the Fault Diagnosis Method for Distribution Networks of Multi-source Information Fusion, it is characterized in that, for the Fault Diagnosis of Distribution Network system based on Multi-source Information Fusion according to claim 1, comprise the following steps:
Step 1, gathers the data message of different monitoring points on distribution line;
Step 2, collects described data message;
Step 3, the fault signature extraction algorithm according to setting extracts the fault signature in described data message;
Step 4, carries out fault diagnosis according to fault detect decision rule;
Step 5, feedback failure detection result.
7. the Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion according to claim 6, it is characterized in that, data message described in described step 1 comprises electric parameters and/or switching value and/or logout and/or the recorder data for the Wave data that records monitoring point.
8. the Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion according to claim 6, it is characterized in that, extract fault signature for the data of single monitoring point in described step 3 or extract fault signature for the data of relevant multiple monitoring points.
9. the Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion according to claim 6, is characterized in that, described step 4 also comprises carries out fault diagnosis reasoning according to fault signature comprehensive characteristics level information fusion method.
10. the Fault Diagnosis Method for Distribution Networks based on Multi-source Information Fusion according to claim 6, it is characterized in that, described step 5 carries out associating or studying failure detection result by the mode of self study and form fault detect rule of fault type and fault characteristic information by the mode of man-machine interaction.
CN201510638498.9A 2015-09-29 2015-09-29 Power distribution network fault diagnosis system and method based on multi-source information fusion Pending CN105319482A (en)

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CN106774087A (en) * 2017-01-12 2017-05-31 深圳万发创新进出口贸易有限公司 Energy management control system for electronic information system machine rooms based on cloud computing
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CN105703258A (en) * 2016-03-21 2016-06-22 广东电网有限责任公司东莞供电局 Action state monitoring system of gas insulated switchgear (GIS) and application method of action state monitoring system
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CN106774087A (en) * 2017-01-12 2017-05-31 深圳万发创新进出口贸易有限公司 Energy management control system for electronic information system machine rooms based on cloud computing
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CN107102633A (en) * 2017-04-26 2017-08-29 上海金智晟东电力科技有限公司 A kind of distribution terminal fault self-diagnosis method and system
CN107102633B (en) * 2017-04-26 2019-08-02 上海金智晟东电力科技有限公司 A kind of distribution terminal fault self-diagnosis method and system
CN108152673A (en) * 2017-12-15 2018-06-12 国网江苏省电力有限公司南京供电分公司 A kind of active distribution network failure Hierarchical Location method using multi-source data
CN109357696A (en) * 2018-09-28 2019-02-19 西南电子技术研究所(中国电子科技集团公司第十研究所) Multiple Source Sensor information merges closed loop test framework
CN109357696B (en) * 2018-09-28 2020-10-23 西南电子技术研究所(中国电子科技集团公司第十研究所) Multi-source sensor information fusion closed-loop testing framework
CN110879327A (en) * 2019-12-06 2020-03-13 国家电网有限公司 10KV line monitoring method by multi-data fusion

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Application publication date: 20160210