CN105759737A - High voltage cable monitoring and control platform and prediction control method thereof - Google Patents
High voltage cable monitoring and control platform and prediction control method thereof Download PDFInfo
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- CN105759737A CN105759737A CN201410779367.8A CN201410779367A CN105759737A CN 105759737 A CN105759737 A CN 105759737A CN 201410779367 A CN201410779367 A CN 201410779367A CN 105759737 A CN105759737 A CN 105759737A
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
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- Remote Monitoring And Control Of Power-Distribution Networks (AREA)
Abstract
The present invention is based on the characteristics of a current power system, and combined with the characteristics of the effective data acquisition and data processing ability of massive information by a cloud monitoring platform, the invention provides a novel cable monitoring method and cable failure prediction method. Through a sub station, the collected data is rapidly transferred to the cloud monitoring platform server of a third party and the dispatching center master station from a monitoring field, the backup of the data is carried out at the cloud monitoring platform and a dispatching center at the same time, the multilinear regression calculation of the data of a field is carried out at the cloud monitoring platform server and the dispatching center at the same, a calculation result is rapidly sent to the sub station, and the sub station adjusts the cable operation of the field and makes a reasonable suggestion.
Description
Technical field
This platform and monitoring and control method are exclusively used in high tension cable on-line real time monitoring and management.
Background technology
The process of data is all be transmitted directly to control centre by current electrical network industry, final response process is carried out again by control centre, and improving constantly along with 500kV and above transformer station grade, data volume also sharply increases, and does not reach requirement in data processing speed, and when a failure occurs, pouring in of mass data, it is impossible to analyze and process response in time, inconvenience in causing electric network fault to process, severe patient also can cause large area blackout, causes equipment badly damaged.High tension cable is the bridge of power system electric power circulation, it is responsible for the transfer function of electric power, high tension cable is once go wrong, large-area power failure can be caused, partial electric grid is even caused to collapse, but the monitoring means now for high tension cable compares limitation, more high tension cable is not proposed real-time reasonable employment suggestion.
The present invention mainly through cloud monitor supervision platform real-time monitor high cable parameter, utilizing the linear regression method of multiparameter, it was predicted that the running status of high tension cable, the rationalization use for high tension cable is advised, and keep in repair targetedly, or carry out the adjustment of load.
Summary of the invention
The present invention adopts the method for real-time temperature for high tension cable of cloud platform, electric current and voltage to carry out real-time monitoring, system utilize on-the-spot substation main controller real-time gather the temperature of cable, electric current and voltage, substation main controller is also sent to scheduling station real-time for the data gathered, main website utilizes the state of the method prediction high tension cable of multiparameter linear regression, and predicted state is sent back substation.Substation is also sent to cloud monitor supervision platform wirelessly real-time to the temperature collected in a large number, electric current and voltage, carries out further multiple linear regression computing at cloud monitor supervision platform, the result handled well is sent back substation main controller.nullSubstation main controller is the result of calculation of main website and cloud monitor supervision platform，Compare and process，Determine final cable predicted state，Carry out spatial load forecasting targetedly、Fault cutting-off controlling or maintenance suggestion，And quickly make a response，Master station and cloud monitor terminal quickly it is sent to from Monitor Sub-Station of Less，In this process，Data back up in main website of control centre and cloud monitor supervision platform，If it is sometimes excessively crowded to the data of main website of control centre，Main website of control centre also can first receive comparatively important data，Then transferred the data of loss time somewhat idle from cloud monitor supervision platform by the Internet，Improve control centre's transparency to information decision，The more important thing is alleviation control centre data storage pressure，It is easy to when accident dispute occurs recall data in third-party server，So it is easy to the identification of accident responsibility and quickly processing in time of accident dispute.Improving on-line monitoring practical, the division of labor is definitely simultaneously.
The enforcement of this method needs to increase third-party server between control centre and terminal harvester, while terminal harvester has gathered data, in real time transfer data are to third party cloud platform, carry out monitoring and the storage of data, while failure predication processes, on-line monitoring can be carried out on the one hand, alleviate the pressure of control centre on the one hand, data are avoided to process not in time, the power loss caused.
Owing to data transmission procedure is transmitted to main website of control centre and is wirelessly transmitted to what third party cloud platform carried out, so control centre does not have data clogging, even if lost part data also can give the data of loss for change by cloud monitor supervision platform, improve data-handling capacity.And with the combination of third party cloud platform, by cloud platform, the quantization of data change curve is contrasted, adds high tension cable security control dynamics.
By implementing the method that cloud platform is combined with electrical network, it is possible to strengthen network operation safety.
By implementing this method, it is possible to while strengthening network security, alleviate network data transmission pressure, improve the efficiency of transmission of data, reach the purpose of real-time online safety and stability monitoring.
Accompanying drawing explanation
Accompanying drawing is the structural representation of high tension cable cloud platform monitoring system
In figure: 1 main website of control centre, 2 cloud monitor supervision platforms, 3 cloud monitor terminals, 4 substation main controllers, 5 voltage acquisition modules, 6 current acquisition modules, 7 temperature collect modules, 8 load control switch groups, 9 cables control switch.
Embodiment
With reference to Figure of description the cable based on cloud platform of the present invention monitored in real time and forecast Control Algorithm does following description.Concrete operations are: substation main controller passes through temperature, voltage and current acquisition module, gather the temperature of cable, voltage and current, it is sent to main website of control centre through optical fiber or special circuit, simultaneously by wireless cloud monitor terminal, wirelessly it is sent to cloud monitor supervision platform, data are carried out the prediction computing of multiple linear regression by main website of control centre and cloud monitor supervision platform simultaneously, and the result processed is sent back substation main controller, after substation compares two results, make a policy process to the running status of cable, result is divided into on-load switch adjustment, force disconnect cable switch and proposition maintenance suggestion.The communication speed of cloud monitor terminal and cloud monitor supervision platform is very fast, and cloud monitor terminal has the effect of storage for the data of substation, so the data that cloud monitor supervision platform obtains are very complete, do not have the phenomenon losing data, main website of control centre is more due to the thing processed, it sometimes appear that the problem of data blocking channel, at this moment he will randomly choose some data of reception, and it can arrive cloud monitor supervision platform at one's leisure and transfer the packet of loss.
The cloud monitor supervision platform of this monitoring method can be real-time multiple linear regression computing, data can be stored again, it is simple to the preservation of fault evidence, data information can be provided to control centre again.
This cable monitoring and forecast Control Algorithm substantially increase cable reliability of operation, it is ensured that the operational efficiency of cable, have saved the cost that cable runs and overhauls.
Claims (5)
1. the present invention is mainly the feature according to current power system, in conjunction with the cloud monitor supervision platform high efficient data capture to magnanimity information and data-handling capacity feature, propose a kind of new cable monitoring and the method for cable fault prediction, the data collected quickly are transferred to third-party cloud monitor supervision platform server and main website of control centre from monitoring field by substation, data are backed-up at cloud monitor supervision platform server and control centre simultaneously, and at cloud monitor supervision platform server and control centre, on-the-spot data are carried out Multilinear Regression calculating simultaneously, and quickly result of calculation is sent back substation, by substation, on-the-spot cable ruuning situation is adjusted and proposes conductive suggestion.
2. the new method according to claims 1, it is characterised in that adopt the fusion of cloud monitor supervision platform and electrical network, improves data transmission efficiency and the reliability of data transmission.
3. the new method according to claims 1, it is characterised in that the network operation in station is played compound supervision by the design of networking.
4. the new method according to claims 1, it is characterised in that realize data interconnecting on a wireless network, alleviate network data transmission pressure.
5. the new method according to claims 1, adopts third party to store the mode of data, is easy to when there is accident dispute recall data in third-party server, is so easy to the identification of accident responsibility and quickly processing in time of accident dispute.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410779367.8A CN105759737A (en) | 2014-12-17 | 2014-12-17 | High voltage cable monitoring and control platform and prediction control method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410779367.8A CN105759737A (en) | 2014-12-17 | 2014-12-17 | High voltage cable monitoring and control platform and prediction control method thereof |
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| CN105759737A true CN105759737A (en) | 2016-07-13 |
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| CN201410779367.8A Pending CN105759737A (en) | 2014-12-17 | 2014-12-17 | High voltage cable monitoring and control platform and prediction control method thereof |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110309872A (en) * | 2019-06-27 | 2019-10-08 | 国网湖南省电力有限公司 | Distribution cable health state evaluation method, system and medium based on multi-parameter |
| CN110472772A (en) * | 2019-07-09 | 2019-11-19 | 长沙能川信息科技有限公司 | A kind of disconnecting switch overheat method for early warning and a kind of disconnecting switch overheat early warning system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110309872A (en) * | 2019-06-27 | 2019-10-08 | 国网湖南省电力有限公司 | Distribution cable health state evaluation method, system and medium based on multi-parameter |
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| CN110472772A (en) * | 2019-07-09 | 2019-11-19 | 长沙能川信息科技有限公司 | A kind of disconnecting switch overheat method for early warning and a kind of disconnecting switch overheat early warning system |
| CN110472772B (en) * | 2019-07-09 | 2020-11-10 | 长沙能川信息科技有限公司 | Overheating early warning method for isolating switch and overheating early warning system for isolating switch |
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Application publication date: 20160713 |
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