CN102788943A - Automatic sensing method for online monitored data of partial discharge - Google Patents
Automatic sensing method for online monitored data of partial discharge Download PDFInfo
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- CN102788943A CN102788943A CN2012103283732A CN201210328373A CN102788943A CN 102788943 A CN102788943 A CN 102788943A CN 2012103283732 A CN2012103283732 A CN 2012103283732A CN 201210328373 A CN201210328373 A CN 201210328373A CN 102788943 A CN102788943 A CN 102788943A
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Abstract
The invention relates to an automatic sensing method for online monitored data of partial discharge. The method is applied to an online monitoring system for partial discharge adopting a sensor array. According to the automatic sensing method, the validity of data of the online monitoring system for partial discharge is automatically analyzed and judged, and invalid online monitored data for partial discharge is effectively detected. Compared with the prior art, the automatic sensing method for online monitored data of partial discharge has the advantages that the data accuracy and reliability of the online monitoring system for partial discharge can be effectively improved, a great amount of manpower resource and equipment maintenance cost can be saved, and the like.
Description
Technical field
The present invention relates to a kind of correlation technique of partial discharge monitoring data processing, especially relate to a kind of automatic detection method of partial discharge monitoring data.
Background technology
At present; In electric system; Apparatus local discharges such as transformer, GIS are carried out system's widespread use that on-line monitoring is analyzed, and in the intelligent substation technology, the partial discharge monitoring system becomes the monitoring project that equipment such as the transformer newly making and moved, GIS must adopt; Because there is important effect in the partial discharge monitoring system to the normal operation that ensures electrical network, so how to guarantee the validity of partial discharge monitoring data very active operation significance is arranged.
The partial discharge monitoring system; Be a kind of equipment of monitoring apparatus local discharges such as transformer, GIS; Be used to help the user whether operating power equipment to be existed the faults such as overheated, discharge, insulation of latency carry out monitoring and warning, to ensure the effectively secondary device of operation of power grid security.
Partial discharge monitoring system on the current market, each manufacturer all have the design of oneself to realize, but still do not have disposal route preferably for the validity of sampled data, can only compare and prove whether one group of data is effective through carrying out off-line data with the off-line laboratory.
Through carrying out the data contrast with the off-line laboratory its limitation is arranged, promptly can only be taken a sample simultaneously by laboratory worker and partial discharge monitoring system, the data that obtain just have comparability; For the long-term partial discharge monitoring system of operation at the scene, carry out the contrast of off-line online data at any time, obviously do not possess operability.
Summary of the invention
The object of the invention is exactly for the defective that overcomes above-mentioned prior art existence a kind of data accuracy and reliability that can improve the partial discharge monitoring system effectively to be provided, and practices thrift the automatic detection method of the partial discharge monitoring data of a large amount of human resources and cost of equipment maintenance.
The object of the invention can be realized through following technical scheme:
A kind of automatic detection method of partial discharge monitoring data; This method is applied in the partial discharge monitoring system that adopts sensor array; It is characterized in that; Described automatic detection method is the validity automatic analysis and judgment to the data of local discharge on-line monitoring system, detects invalid partial discharge monitoring data effectively.
Described automatic detection method specifically may further comprise the steps:
1) sensor array in the described partial discharge monitoring system sends to filtering circuit with detected Monitoring Data and carries out being transferred to analog to digital conversion circuit after the filtering;
2) described analog to digital conversion circuit is to be transferred to digital signal processor after the digital signal to the data-switching that receives;
3) described digital signal processor compares data and the local discharge generation data of the standard in the storer that receive, and judges whether both similarities reach preset threshold, if yes, execution in step 4), if not, execution in step 5);
4) digital signal processor judges that these data are valid data, and returns step 1);
5) digital signal processor judges that these data are invalid data, and this invalid data is pointed out or direct discarded according to user's setting, and returns step 1).
Described threshold value is 80%.
Compared with prior art, the present invention has the following advantages:
Situation of change according to Monitoring Data; Principle and characteristic in conjunction with the partial discharges fault generation; The generation principle and the Changing Pattern of shelf depreciation when the ANOMALOUS VARIATIONS situation of fault should meet equipment failure such as transformer, GIS in the Monitoring Data are owing to adopted sensor array, different fault signatures to be detected by different sensor in the sensor array; So detected shelf depreciation data variation should meet the certain distributed rule; Promptly for should being to have different shelf depreciation data to change in the different fault detection of local discharge data, and the situation of change of various shelf depreciations should be consistent with the generation principle of apparatus local discharges such as transformer, GIS, and not meet data that shelf depreciation produces rule then must be to cause the invalid data that produces for a certain reason for detecting data situation; The reason that produces invalid data possibly be a sensor abnormality; Some parts working state abnormal that also possibly be the partial discharge monitoring system causes, and causes undesired signal and is coupled or the sample circuit failure and other reasons with sampled signal like electromagnetic interference (EMI), and promptly this Monitoring Data is insincere; Can not accept and believe as correct analysis data; So when detecting this kind invalid data, the shelf depreciation of equipment such as transformer GIS is online should pick out automatically this invalid data or directly the prompting user should organize data invalid, avoid the user to judge device fails by accident owing to accepting and believing invalid data; And then cause carrying out insignificant off-line analysis, increase non-productive work amount and the various resources of waste; Through detecting to data validity, can improve the data accuracy and the reliability of partial discharge monitoring system effectively, practice thrift a large amount of human resources and cost of equipment maintenance.
Description of drawings
Fig. 1 is a process flow diagram of the present invention;
The hardware configuration synoptic diagram that Fig. 2 realizes for the present invention.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment the present invention is elaborated.
Embodiment
Like Fig. 1, shown in Figure 2; A kind of automatic detection method of partial discharge monitoring data; This method is applied in the partial discharge monitoring system that adopts sensor array; Described automatic detection method is the validity automatic analysis and judgment to the data of local discharge on-line monitoring system, detects invalid partial discharge monitoring data effectively.
Described automatic detection method specifically may further comprise the steps:
1) sensor array 1 in the described partial discharge monitoring system sends to filtering circuit 2 with detected Monitoring Data and carries out being transferred to analog to digital conversion circuit 3 after the filtering;
2) 3 pairs of data-switching that receive of described analog to digital conversion circuit are to be transferred to digital signal processor 4 after the digital signal;
3) the local discharge generation data of the standard in 4 pairs of data that receive of described digital signal processor and the storer 5 relatively judge whether both similarities reach preset threshold 80%, if yes, execution in step 4), if not, execution in step 5);
4) digital signal processor 4 judges that these data are valid data, and returns step 1);
5) digital signal processor 4 judges that these data are invalid data, and according to the setting of input keyboard 6 this invalid data is carried out Output Display Unit 7 promptings or direct discarded, and returns step 1).
The present invention makes the fault signature distribution of gas in sensor array on the different sensor according to the generation principle of shelf depreciation.The major failure that causes generating when making equipment failure such as certain transformer, GIS is distributed on the different sensor, when sensor monitors during to shelf depreciation data generation ANOMALOUS VARIATIONS, has several kinds of situation:
(1) sensor is normal, and there is fault in the partial discharge monitoring system unit, causes Monitoring Data unusual
(2) sensor abnormality causes Monitoring Data unusual
(3) equipment failure such as transformer, GIS causes the Monitoring Data of partial discharge monitoring system unusual.
Through analysis to abnormal data; Can confirm that this unusual Monitoring Data is because the data exception that unit exceptions such as transformer, GIS cause; Still the Monitoring Data that causes of some parts self problem of partial discharge monitoring system is unusual, and it is unusual that the Monitoring Data that we cause sensor abnormality and some parts self problem of local discharge on-line monitoring system is referred to as equipment state unusually.
Promptly when the unusual situation of Monitoring Data met shelf depreciation generation principle, this data exception maybe be unusual for equipment state, also possibly cause Monitoring Data unusual for the transformer faults itself.But when the unusual situation of Monitoring Data does not meet shelf depreciation generation principle; Then this abnormal data is the unusual of the partial discharge monitoring data that cause unusually of equipment state; Because the particular design of local discharge sensor; If sensor states can cause the Monitoring Data of sensor to change unusually, and the data of other sensor monitors can not change, thereby Auto-Sensing goes out invalid Monitoring Data.Can detect invalid Monitoring Data that the partial discharge monitoring system provides effectively so the present invention is the automatic analysis method for detecting of partial discharge monitoring data validity, effectively raise the accuracy and the reliability of the Monitoring Data of partial discharge monitoring system.
The present invention has realized a kind of method that effectively detects the Monitoring Data validity that the partial discharge monitoring system provides, and promptly can satisfy the needs of practical application.The present invention not only can satisfy the current intelligent grid power plant project comprehensively carried out build in the needs of validity of partial discharge monitoring system data, and, have good practical and popularizing value to the actual needs of local discharge on-line monitoring system.
The technician of the industry should understand; The present invention does not receive the restriction of the distribution of local discharge sensor in the above-mentioned instantiation; Other every practical application that meets this inventive method principle can realize the automatic analysis detecting to local discharge on-line monitoring system Monitoring Data validity with method of the present invention.
More than show and described ultimate principle of the present invention, principal character and advantage of the present invention.The technician of the industry should understand; The present invention is not restricted to the described embodiments; That describes in the foregoing description and the instructions just explains principle of the present invention; Under the prerequisite that does not break away from spirit and scope of the invention, the present invention also has various changes and modifications, and these variations and improvement all fall in the scope of the invention that requires protection.The present invention requires protection domain to be defined by appending claims and equivalent thereof.
Claims (3)
1. the automatic detection method of partial discharge monitoring data; This method is applied in the partial discharge monitoring system that adopts sensor array; It is characterized in that; Described automatic detection method is the validity automatic analysis and judgment to the data of local discharge on-line monitoring system, detects invalid partial discharge monitoring data effectively.
2. the automatic detection method of a kind of partial discharge monitoring data according to claim 1 is characterized in that, described automatic detection method specifically may further comprise the steps:
1) sensor array in the described partial discharge monitoring system sends to filtering circuit with detected Monitoring Data and carries out being transferred to analog to digital conversion circuit after the filtering;
2) described analog to digital conversion circuit is to be transferred to digital signal processor after the digital signal to the data-switching that receives;
3) described digital signal processor compares data and the local discharge generation data of the standard in the storer that receive, and judges whether both similarities reach preset threshold, if yes, execution in step 4), if not, execution in step 5);
4) digital signal processor judges that these data are valid data, and returns step 1);
5) digital signal processor judges that these data are invalid data, and this invalid data is pointed out or direct discarded according to user's setting, and returns step 1).
3. the automatic detection method of a kind of partial discharge monitoring data according to claim 2 is characterized in that, described threshold value is 80%.
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| CN2012103283732A CN102788943A (en) | 2012-09-06 | 2012-09-06 | Automatic sensing method for online monitored data of partial discharge |
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| CN2012103283732A CN102788943A (en) | 2012-09-06 | 2012-09-06 | Automatic sensing method for online monitored data of partial discharge |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103336213A (en) * | 2013-07-06 | 2013-10-02 | 云南电力试验研究院（集团）有限公司电力研究院 | In-situ diagnostic method and device used for on-line monitoring of transformer substation |
| CN107359879A (en) * | 2017-07-06 | 2017-11-17 | 江苏东华测试技术股份有限公司 | A kind of system and method for reducing on-line monitoring mass data storage |
| CN111862569A (en) * | 2020-08-12 | 2020-10-30 | 国网河南省电力公司邓州市供电公司 | Intelligent partial discharge monitoring data transmission algorithm |
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| CN1303480A (en) * | 1998-06-10 | 2001-07-11 | 哈贝尔公司 | System measuring partial discharge using digital peak detection |
| CN101350518A (en) * | 2008-09-05 | 2009-01-21 | 国电南瑞科技股份有限公司 | Method for processing sampling value of digitalization protection test control apparatus |
| CN102507816A (en) * | 2011-11-09 | 2012-06-20 | 思源电气股份有限公司 | Method for detecting effectiveness of oil chromatogram online monitoring data |
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2012
- 2012-09-06 CN CN2012103283732A patent/CN102788943A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1303480A (en) * | 1998-06-10 | 2001-07-11 | 哈贝尔公司 | System measuring partial discharge using digital peak detection |
| CN101350518A (en) * | 2008-09-05 | 2009-01-21 | 国电南瑞科技股份有限公司 | Method for processing sampling value of digitalization protection test control apparatus |
| CN102507816A (en) * | 2011-11-09 | 2012-06-20 | 思源电气股份有限公司 | Method for detecting effectiveness of oil chromatogram online monitoring data |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103336213A (en) * | 2013-07-06 | 2013-10-02 | 云南电力试验研究院（集团）有限公司电力研究院 | In-situ diagnostic method and device used for on-line monitoring of transformer substation |
| CN107359879A (en) * | 2017-07-06 | 2017-11-17 | 江苏东华测试技术股份有限公司 | A kind of system and method for reducing on-line monitoring mass data storage |
| CN111862569A (en) * | 2020-08-12 | 2020-10-30 | 国网河南省电力公司邓州市供电公司 | Intelligent partial discharge monitoring data transmission algorithm |
| CN111862569B (en) * | 2020-08-12 | 2021-07-06 | 国网河南省电力公司邓州市供电公司 | Intelligent partial discharge monitoring data transmission algorithm |
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Application publication date: 20121121 |