CN104751285A - Accuracy judgment and warning system for front-end collected data in automation of electric network management - Google Patents
Accuracy judgment and warning system for front-end collected data in automation of electric network management Download PDFInfo
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- CN104751285A CN104751285A CN201510141705.XA CN201510141705A CN104751285A CN 104751285 A CN104751285 A CN 104751285A CN 201510141705 A CN201510141705 A CN 201510141705A CN 104751285 A CN104751285 A CN 104751285A
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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
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS 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
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- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
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Abstract
The invention provides an accuracy judgment and warning system for front-end collected data in automation of electric network management. The accuracy judgment and warning system comprises an existing automatic power network dispatching system master station, a front-end server group, an analysis processing server and a human-machine interface, and the front-end server group is formed by four front-end servers which are connected with the automatic power network dispatching system master station through first to fourth channels respectively. A data acquisition module and a data analysis processing module are arranged in each front-end server, each data acquisition module is used for acquiring and storing telecommand and telemetering data, and each data analysis processing module is used for analyzing the data and associates with substation equipment. A data classifying module and a data analysis processing module are arranged in the analysis processing server, and the data analysis processing module is used for judgment of the telecommand and telemetering data transmitted by the data classifying module. The human-machine interface is used for data information display, abnormality warning and information storage and statistics. Automatic judgment and abnormality warning of the data acquired by an automatic power network dispatching system can be realized to improve safety in operation of a power network.
Description
Technical field
The present invention relates to power system dispatching automation technique field, be specifically related to a kind ofly carry out accuracy differentiation and warning system to the front-collection data in automation system for the power network dispatching.
Background technology
In recent years, along with fast development that is economic and society, power grid construction develops rapidly thereupon, and town and country transformer station number is increasing, and dispatching of power netwoks task is heavier.Current, power supply department dispatching of power netwoks generally adopts dispatch automated system to carry out despatching work, it is need to carry out accurate and effective collection to the data of affiliated each transformer station that automation system for the power network dispatching carries out one of prerequisite of accurate and effective Automatic dispatching, prevent from causing dispatching and monitoring accident because of image data mistake, thus effective automatic monitoring is carried out, to guarantee power network safety operation to the operation of each transformer station.Therefore, day by day heavy along with dispatching of power netwoks task, the workload of automation system for the power network dispatching monitoring is in continuous increase, the requirement of system data acquisition accuracy is also improving constantly, and in current automation system for the power network dispatching, the accuracy differentiation of front-collection data and auto-alarming part are difficult to meet current needs, need to be optimized and to improve.
Summary of the invention
The object of the invention is: for existing technical matters, a kind of power network schedule automation front-collection data accuracy is provided to differentiate and warning system, when it uses, automatically can differentiate the accuracy of the substation operation data of automation system for the power network dispatching collection, the energy outputting alarm automatically when judging that image data occurs abnormal, thus improve the control of dispatching of power netwoks monitor staff for image data accuracy, ensure that dispatching of power netwoks monitor staff carries out supervision and the scheduling of operation of power networks exactly, improve the safety operation level of electrical network.
Technical scheme of the present invention is: power network schedule automation front-collection data accuracy of the present invention differentiates and warning system, comprise automation system for the power network dispatching main website, described automation system for the power network dispatching main website is built-in with remote signalling and the telemetry of affiliated each transformer station of Real-time Collection; Its design feature is: also comprise front server group, analyzing and processing server and man-machine interface;
Front server group comprises 4 front servers; These 4 front servers are connected with automation system for the power network dispatching main website respectively by 1 to No. 4 channel; Each front server is built-in with:
Data acquisition module, for obtaining and preserving remote signalling and the telemetry of automation system for the power network dispatching main website; Data acquisition module is connected with automation system for the power network dispatching master station communication;
Data Analysis processing module, data of having preserved for resolution data acquisition module and remote measurement, remote signalling data are associated with substation equipment; Data Analysis processing module is electrically connected with data acquisition module block signal;
Analyzing and processing server is built-in with:
Data categorization module, for the difference by transformer station and channel to the data message classification received; Data categorization module is electrically connected with the Data Analysis processing module signal of each front server;
Data Analysis Services module, carries out differentiation process for the remote signalling transmitted data categorization module and telemetry; Wherein, the data of channel 1 are differentiated by remote signalling data employing compared with the data of other 3 channels; To telemetry by differentiating compared with the telemetry judgment threshold of setting after the variance rate of each channel of calculating;
Man-machine interface, preserves statistics and optimum configurations for data message display, abnormality alarming, information; Man-machine interface is connected with analyzing and processing server communication.
Further scheme is: the Data Analysis Services module of above-mentioned analyzing and processing server adopts following rule to differentiate to substation equipment remote signalling data:
1,2,3, of same transformer station No. 4 channel data contrasts by Data Analysis Services module, and manner of comparison is that channel 1 data compare with its excess-three channel data, and comparative result R12, R13, R14 represent:
If R12, R13, R14 are identical, then judge that each channel data collection of this transformer station is correct;
If only have one to be contrary in R12, R13, R14, then judge the equipment state-signal collection mistake that this opposite one is corresponding;
If R12, R13, R14 are contrary entirely, then judge the equipment state-signal collection mistake of channel 1 correspondence;
If have two in R12, R13, R14 on the contrary, then prompting needs manually check to judge state-signal collection false channel to this substation data.
Further scheme is: the Data Analysis Services module of described analyzing and processing server adopts each channel telemetry variance rate to differentiate substation equipment telemetry compared with the judgment threshold of setting:
If the image data that 1 substation equipment remote measurement amount, 4 channels are corresponding is respectively: D1, D2, D3 and D4, Data Analysis Services module adopts following steps to differentiate:
The first step: calculate mutual difference R between each channel data, wherein:
R12=D1-D2；
R13=D1-D3；
R14=D1-D4；
R23=D2-D3；
R24=D2-D4；
R34=D3-D4；
Second step: carry out size sequence to the difference result R12 calculated, R13, R14, R23, R24, R34, select minimum difference Rmn, wherein m, n are corresponding channel designator;
3rd step: the variance rate V calculating each channel, wherein:
V1=2×D1/(Dm＋Dn)；
V2=2×D2/(Dm＋Dn)；
V3=2×D3/(Dm＋Dn)；
V4=2×D4/(Dm＋Dn)；
4th step: by the variance rate V of each channel of calculating compared with the telemetry judgment threshold of setting, determine result of determination:
Data Analysis Services module is built-in with telemetry variance rate automatic decision threshold value 5% and 20%,
If each channel remote measurement variance rate V≤5%, judge that each channel Telemetry Data Acquisition quality is good;
If channel remote measurement variance rate 5% < V < 20%, judges that this channel Telemetry Data Acquisition is second-rate;
If channel remote measurement variance rate V >=20%, judge that this channel Telemetry Data Acquisition is defective.
The present invention has positive effect: power network schedule automation front-collection data accuracy differentiates and warning system, when it uses, automatically can differentiate the accuracy of the substation operation data of automation system for the power network dispatching collection, the energy outputting alarm automatically when judging that image data occurs abnormal, thus improve the control of dispatching of power netwoks monitor staff for image data accuracy, ensure that dispatching of power netwoks monitor staff carries out supervision and the scheduling of operation of power networks exactly, improve the safety operation level of electrical network; Meanwhile, the present invention is easy to realize on the basis of existing automation system for the power network dispatching, and construction cost is not high, is easy to promote in the industry, and applicability is strong.
Accompanying drawing explanation
Fig. 1 is structural representation of the present invention;
Fig. 2 is method of work process flow diagram of the present invention.
Reference numeral in above-mentioned accompanying drawing is as follows:
Automation system for the power network dispatching main website 1,
Front server group 2, data acquisition module 21, Data Analysis processing module 22,
Analyzing and processing server 3, data categorization module 31, Data Analysis Services module 32,
Man-machine interface 4.
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is further detailed explanation.
(embodiment 1)
See Fig. 1 and Fig. 2, the power network schedule automation front-collection data accuracy of the present embodiment differentiates and warning system, forms primarily of automation system for the power network dispatching main website 1, front server group 2, analyzing and processing server 3 and man-machine interface 4.
Automation system for the power network dispatching main website 1 is that dispatching of power netwoks department is existing, be provided with between automation system for the power network dispatching and each transformer station affiliated 1,2,3, No. 4 totally four gather channel, for entering Real-time Collection to the remote signalling of this transformer station and telemetry intelligence (TELINT), remote signalling and the telemetry of affiliated each transformer station of collection are placed in automation system for the power network dispatching main website 1.
Front server group 2 is made up of 4 front servers, these 4 front servers are respectively connected with automation system for the power network dispatching main website 1 by 1 special line information channel (abbreviation channel) respectively, are also namely connected with automation system for the power network dispatching main website 1 respectively by 1 to No. 4 channel.Each front server is built-in with data acquisition module 21 and Data Analysis processing module 22.Data acquisition module 21 communicates with automation system for the power network dispatching main website 1, obtains and preserves remote signalling and the telemetry of the respective channel of the built-in affiliated each transformer station Real-time Collection of automation system for the power network dispatching main website 1; The data that Data Analysis processing module 22 resolution data acquisition module 21 has been preserved, and according to the modeling information of dispatching automation, remote measurement, remote signalling data are associated with corresponding substation equipment; Data Analysis processing module 22 is electrically connected with data acquisition module 21 signal.
Analyzing and processing server 3 is built-in with data categorization module 31 and Data Analysis Services module 32.Data categorization module 31 is electrically connected with Data Analysis processing module 22 signal of each front server; Data Analysis Services module 32 is electrically connected with data categorization module 31 signal.
Data categorization module 31 is classified, to distinguish the facility information of a certain transformer station respectively from which different channel to the data message received for the difference by transformer station and channel.
Data Analysis Services module 32 carries out differentiation process for the remote signalling of the transformer station by reception and telemetry.
Data Analysis Services module 32 pairs of substation equipment remote signalling datas adopt following rule to differentiate:
Transformer station have 1,2,3,4 totally four gather channels, 4 channel datas contrast according to equipment amount measuring point number by Data Analysis Services module 32 one by one, manner of comparison be channel 1 with its excess-three channel ratio comparatively, comparative result R12, R13, R14 represent:
If R12, R13, R14 are identical, then judge that each channel data collection of this transformer station is correct;
If only have one to be contrary in R12, R13, R14, then judge the equipment state-signal collection mistake that this opposite one is corresponding; Such as R12 is contrary, then judge the equipment state-signal collection mistake of channel 2 correspondence;
If R12, R13, R14 are contrary entirely, then judge equipment state-signal collection mistake corresponding in channel 1;
If there are two then accurately cannot be judged as which channel data collection mistake on the contrary in R12, R13, R14, exporting prompting needs manually check to judge state-signal collection false channel to substation data.
Data Analysis Services module 32 adopts each channel telemetry variance rate to differentiate substation equipment telemetry compared with the judgment threshold of setting:
If the image data that 1 substation equipment remote measurement amount, 4 channels are corresponding is respectively: D1, D2, D3 and D4, Data Analysis Services module 32 adopts following steps to differentiate:
The first step: calculate mutual difference R between each channel data:
R12=D1-D2；
R13=D1-D3；
R14=D1-D4；
R23=D2-D3；
R24=D2-D4；
R34=D3-D4；
In this step, computation period preferably 5 minutes.
Second step: carry out size sequence to the difference result R12 calculated, R13, R14, R23, R24, R34, select minimum difference Rmn, wherein m, n are corresponding channel designator;
3rd step: the variance rate V calculating each channel:
V1=2×D1/(Dm＋Dn)；
V2=2×D2/(Dm＋Dn)；
V3=2×D3/(Dm＋Dn)；
V4=2×D4/(Dm＋Dn)；
In this step, computation period preferably 5 minutes.
4th step: by the variance rate V of each channel of calculating compared with the telemetry judgment threshold of setting, determine result of determination:
Data Analysis Services module 32 is built-in with telemetry variance rate automatic decision threshold value 5% and 20%,
If each channel remote measurement variance rate V is all less than or equal to 5%, judge that each channel Telemetry Data Acquisition quality is good;
If channel remote measurement variance rate 5%<V<20%, then judge that this channel Telemetry Data Acquisition is second-rate;
If channel remote measurement variance rate V >=20%, then judge that this channel Telemetry Data Acquisition is defective.
Data Analysis Services module 32 exports data, result of determination and information to man-machine interface 4.
Man-machine interface 4 preferably adopts PC.Man-machine interface 4 communicates with analyzing and processing server 3, carries out information interaction.
Man-machine interface 4 preserves statistics for data message display, abnormality alarming and information; When needing, monitor staff is by built-in the arranging as correlation parameters such as telemetry variance rate automatic decision threshold values of man-machine interface 4 pairs of analyzing and processing servers 3.
The data of man-machine interface 4 receiving and analyzing processing server 3 transmission, divide transformer station, subchannel automatically, adopt paging mode display remote measurement and remote signalling information; When analyzing and processing server 3 judges that the channel information of a certain transformer station exists abnormal, man-machine interface 4 carries out bright aobvious (redness) alarm, to facilitate monitor staff's Timeliness coverage and to process abnormal information; Preserve the different channel informations of this period, for Treatment Analysis afterwards simultaneously.
Above embodiment is the explanation to the specific embodiment of the present invention; but not limitation of the present invention; person skilled in the relevant technique without departing from the spirit and scope of the present invention; can also make various conversion and change and obtain corresponding equivalent technical scheme, therefore all equivalent technical schemes all should be included into scope of patent protection of the present invention.
Claims (3)
1. a power network schedule automation front-collection data accuracy differentiates and warning system, comprise automation system for the power network dispatching main website (1), described automation system for the power network dispatching main website (1) is built-in with remote signalling and the telemetry of affiliated each transformer station of Real-time Collection; It is characterized in that: also comprise front server group (2), analyzing and processing server (3) and man-machine interface (4);
Front server group (2) comprises 4 front servers; These 4 front servers are connected with automation system for the power network dispatching main website (1) respectively by 1 to No. 4 channel; Each front server is built-in with:
Data acquisition module (21), for obtaining and preserving remote signalling and the telemetry of automation system for the power network dispatching main website (1); Data acquisition module (21) and automation system for the power network dispatching main website (1) communicate to connect;
Data Analysis processing module (22), data of having preserved for resolution data acquisition module (21) and remote measurement, remote signalling data are associated with substation equipment; Data Analysis processing module (22) is electrically connected with data acquisition module (21) signal;
Analyzing and processing server (3) is built-in with:
Data categorization module (31), for the difference by transformer station and channel to the data message classification received; Data categorization module (31) is electrically connected with Data Analysis processing module (22) signal of each front server;
Data Analysis Services module (32), carries out differentiation process for the remote signalling transmitted data categorization module (31) and telemetry; Wherein, the data of channel 1 are differentiated by remote signalling data employing compared with the data of other 3 channels; To telemetry by differentiating compared with the telemetry judgment threshold of setting after the variance rate of each channel of calculating;
Man-machine interface (4), preserves statistics and optimum configurations for data message display, abnormality alarming, information; Man-machine interface (4) and analyzing and processing server (3) communicate to connect.
2. power network schedule automation front-collection data accuracy according to claim 1 differentiates and warning system, it is characterized in that: the Data Analysis Services module (32) of described analyzing and processing server (3) adopts following rule to differentiate to substation equipment remote signalling data:
1,2,3, of same transformer station No. 4 channel data contrasts by Data Analysis Services module (32), and manner of comparison is that channel 1 data compare with its excess-three channel data, and comparative result R12, R13, R14 represent:
If R12, R13, R14 are identical, then judge that each channel data collection of this transformer station is correct;
If only have one to be contrary in R12, R13, R14, then judge the equipment state-signal collection mistake that this opposite one is corresponding;
If R12, R13, R14 are contrary entirely, then judge the equipment state-signal collection mistake of channel 1 correspondence;
If have two in R12, R13, R14 on the contrary, then prompting needs manually check to judge state-signal collection false channel to this substation data.
3. power network schedule automation front-collection data accuracy according to claim 1 differentiates and warning system, it is characterized in that: the Data Analysis Services module (32) of described analyzing and processing server (3) adopts each channel telemetry variance rate to differentiate substation equipment telemetry compared with the judgment threshold of setting:
If the image data that 1 substation equipment remote measurement amount, 4 channels are corresponding is respectively: D1, D2, D3 and D4, Data Analysis Services module (32) adopts following steps to differentiate:
The first step: calculate mutual difference R between each channel data, wherein:
R12=D1-D2；
R13=D1-D3；
R14=D1-D4；
R23=D2-D3；
R24=D2-D4；
R34=D3-D4；
Second step: carry out size sequence to the difference result R12 calculated, R13, R14, R23, R24, R34, select minimum difference Rmn, wherein m, n are corresponding channel designator;
3rd step: the variance rate V calculating each channel, wherein:
V1=2×D1/(Dm＋Dn)；
V2=2×D2/(Dm＋Dn)；
V3=2×D3/(Dm＋Dn)；
V4=2×D4/(Dm＋Dn)；
4th step: by the variance rate V of each channel of calculating compared with the telemetry judgment threshold of setting, determine result of determination:
Data Analysis Services module (32) is built-in with telemetry variance rate automatic decision threshold value 5% and 20%,
If each channel remote measurement variance rate V≤5%, judge that each channel Telemetry Data Acquisition quality is good;
If channel remote measurement variance rate 5% < V < 20%, judges that this channel Telemetry Data Acquisition is second-rate;
If channel remote measurement variance rate V >=20%, judge that this channel Telemetry Data Acquisition is defective.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106296457A (en) * | 2016-08-12 | 2017-01-04 | 新疆信息产业有限责任公司 | Save and adjust automated information checking method |
| CN107276236A (en) * | 2017-08-08 | 2017-10-20 | 国网江苏省电力公司宿迁供电公司 | A kind of power network remote measurement warning strategies method based on floating threshold criterion |
| CN109274178A (en) * | 2018-11-14 | 2019-01-25 | 国网甘肃省电力公司电力科学研究院 | A kind of automatic analysis system and method for the preposition operation information of power scheduling |
| CN109450085A (en) * | 2018-10-24 | 2019-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of unit exception alarm signal processing system integrated with control based on scheduling |
| CN109510724A (en) * | 2018-11-22 | 2019-03-22 | 国网陕西省电力公司西安供电公司 | A method of data acquisition and application based on TAS device |
| CN110266109A (en) * | 2019-06-26 | 2019-09-20 | 广东电网有限责任公司 | A kind of unmanned substation's centralized dispatching monitoring method and system |
| CN110531724A (en) * | 2019-09-17 | 2019-12-03 | 国网辽宁省电力有限公司辽阳供电公司 | A kind of automatic sample definition method of telemetering based on smart grid Dispatching Control System |
| CN112884602A (en) * | 2021-02-24 | 2021-06-01 | 广东电网有限责任公司 | Power data accuracy analysis method, electronic device, and medium |
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2015
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106296457A (en) * | 2016-08-12 | 2017-01-04 | 新疆信息产业有限责任公司 | Save and adjust automated information checking method |
| CN107276236A (en) * | 2017-08-08 | 2017-10-20 | 国网江苏省电力公司宿迁供电公司 | A kind of power network remote measurement warning strategies method based on floating threshold criterion |
| CN109450085A (en) * | 2018-10-24 | 2019-03-08 | 云南电网有限责任公司电力科学研究院 | A kind of unit exception alarm signal processing system integrated with control based on scheduling |
| CN109450085B (en) * | 2018-10-24 | 2022-06-07 | 云南电网有限责任公司电力科学研究院 | Equipment abnormity alarm signal processing system based on scheduling and control integration |
| CN109274178A (en) * | 2018-11-14 | 2019-01-25 | 国网甘肃省电力公司电力科学研究院 | A kind of automatic analysis system and method for the preposition operation information of power scheduling |
| CN109274178B (en) * | 2018-11-14 | 2020-09-08 | 国网甘肃省电力公司电力科学研究院 | Automatic analysis system and method for power dispatching preposed operation information |
| CN109510724B (en) * | 2018-11-22 | 2022-03-22 | 国网陕西省电力公司西安供电公司 | Data acquisition and application method based on TAS device |
| CN109510724A (en) * | 2018-11-22 | 2019-03-22 | 国网陕西省电力公司西安供电公司 | A method of data acquisition and application based on TAS device |
| CN110266109A (en) * | 2019-06-26 | 2019-09-20 | 广东电网有限责任公司 | A kind of unmanned substation's centralized dispatching monitoring method and system |
| CN110531724A (en) * | 2019-09-17 | 2019-12-03 | 国网辽宁省电力有限公司辽阳供电公司 | A kind of automatic sample definition method of telemetering based on smart grid Dispatching Control System |
| CN110531724B (en) * | 2019-09-17 | 2021-05-14 | 国网辽宁省电力有限公司辽阳供电公司 | Remote measurement automatic sampling definition method based on smart power grid dispatching control system |
| CN112884602A (en) * | 2021-02-24 | 2021-06-01 | 广东电网有限责任公司 | Power data accuracy analysis method, electronic device, and medium |
| CN112884602B (en) * | 2021-02-24 | 2023-09-12 | 广东电网有限责任公司 | Power data accuracy analysis method, electronic equipment and medium |
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