CN105223892A - Intelligent transformer - Google Patents
Intelligent transformer Download PDFInfo
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- CN105223892A CN105223892A CN201510723231.XA CN201510723231A CN105223892A CN 105223892 A CN105223892 A CN 105223892A CN 201510723231 A CN201510723231 A CN 201510723231A CN 105223892 A CN105223892 A CN 105223892A
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Abstract
The present invention relates to a kind of intelligent transformer, comprise transformer body, obtain the multinomial service data of transformer body in real time and service data analyzed and show that control signal carrys out the intelligent control system of this running body of control transformer.Intelligent control system comprises several sensors, several A/D converters, for obtaining and the real-time information storage processing unit of transmission of digital signals, the moving model of digital signal and transformer body is analyzed to the operation information analytic unit of the failure message obtaining transformer body, the model analysis unit of the moving model of transformer body is provided to operation information analytic unit, the faulted-phase judgment unit of control signal is produced according to failure message, control signal is passed to the logic control element of transformer body.The present invention can gather its real-time service data, and realizes the effective control to transformer body based on these data, can Timeliness coverage fault, provides safeguard for it runs safely and reliably.
Description
Technical field
The present invention relates to a kind of transformer.
Background technology
Existing transformer only has basic function usually, therefore, control cannot be carried out and Timeliness coverage fault for its real-time duty, so still there is part not fully up to expectations in performance, reliability, intellectuality etc., need further Innovation and development.
Summary of the invention
The object of this invention is to provide one can Real-time Feedback duty, thus realizes intelligentized control method to it and can the intelligent transformer of handling failure in time.
For achieving the above object, the technical solution used in the present invention is:
A kind of intelligent transformer, comprises transformer body, and it also comprises the multinomial service data that obtains described transformer body in real time and analyzes described service data and draw the intelligent control system that control signal is run to control described transformer body.
Described intelligent control system comprises several for obtaining the sensor of the service data of described transformer body, several are converted to the A/D converter of digital signal for the signal exported by described sensor, for obtaining and transmitting the real-time information storage processing unit of described digital signal, the moving model of described digital signal and described transformer body is analyzed to the operation information analytic unit of the failure message obtaining described transformer body, the model analysis unit of the moving model of described transformer body is provided to described operation information analytic unit, the faulted-phase judgment unit of described control signal is produced according to described failure message, described control signal is passed to the logic control element that described transformer body is implemented,
Sensor described in each is connected with described transformer body respectively, A/D converter described in each is connection corresponding with sensor described in each respectively, described real-time information storage processing unit is connected with A/D converter described in each, described operation information analytic unit is connected with described model analysis unit with described real-time information storage processing unit respectively, described faulted-phase judgment unit is connected with described operation information analytic unit, and described logic control element is connected with described faulted-phase judgment unit and is connected to described transformer body.
Described model analysis unit comprise the standard operating model storing described transformer body master pattern database, be connected with described master pattern database with described operation information analytic unit thus obtain the real time execution model of described transformer body according to described digital signal and described standard operating model computing and be supplied to the moving model self study unit of described operation information analytic unit respectively.
Described intelligent control system also comprises and to be connected with described real-time information storage processing unit and to store the real-time running data storehouse of the real-time traffic information of described transformer body, be connected and store the failure information database of the failure message of described transformer body with described operation information analytic unit.
Described intelligent control system also comprises the information issue unit of the real-time traffic information showing described transformer body, the failure message of described transformer body, the moving model of described transformer body, and described information issue unit is connected with described model analysis unit with described real-time running data storehouse, described failure information database respectively.
Described sensor comprise be connected with described transformer body several current transformers, voltage sensor, temperature sensor, local discharge sensor, shock sensor, several in logic state collector, described current transformer is connected with current transducer, and described voltage sensor is connected with voltage transmitter.
Described A/D converter is connected by universal serial bus with described real-time information storage processing unit.
Described intelligent control system communicates with electrical network master control system and is connected.
Because technique scheme is used, the present invention compared with prior art has following advantages: intelligent transformer of the present invention can gather its real-time service data, and realize the effective control to transformer body based on these data, thus can whether break down by Timeliness coverage, provide guarantee for it runs safely and reliably.
Accompanying drawing explanation
Accompanying drawing 1 is the principle schematic of intelligent transformer of the present invention.
In above accompanying drawing: 1, transformer body; 2, real-time information storage processing unit; 3, operation information analytic unit; 4, master pattern database; 5, moving model self study unit; 6, faulted-phase judgment unit; 7, logic control element; 8, real-time running data storehouse; 9, failure information database; 10, information issue unit; 11, current transformer; 12, current transducer; 13, voltage transmitter; 14, temperature sensor; 15, local discharge sensor; 16, shock sensor; 17, logic state collector.
Embodiment
Below in conjunction with embodiment shown in the drawings, the invention will be further described.
Embodiment one: shown in accompanying drawing 1, a kind of intelligent transformer, the transformer body 1(comprised for realizing basic function is equivalent to existing transformer), and service data is analyzed for the multinomial service data that obtains transformer body 1 in real time and draw the intelligent control system that control signal is carried out control transformer body 1 and run.
Intelligent control system comprises several sensors, several A/D converters, real-time information storage processing unit 2, operation information analytic unit 3, model analysis unit, faulted-phase judgment unit 6 and logic control element 7.
Sensor is connected with transformer body 1, for obtaining the service data of transformer body 1.Sensor comprise be connected with transformer body 1 several current transformers 11, voltage sensor, temperature sensor 14, local discharge sensor 15, shock sensor 16, in logic state collector 17 one or more, current transformer 11 is connected with current transducer 12, and voltage sensor is connected with voltage transmitter 13.Can the service data of transformer body 1 of Real-time Collection be comprised by these sensors: the signal such as three-phase voltage, three-phase current, neutral point current, iron core grounding current, three phase harmonic, three phase power, three-phase activity coefficient, hot spot temperature of winding, iron core temperature, ambient temperature and humidity, shelf depreciation situation, blower fan electric current, fan condition, the vibration of device body of transformer body 1.
Each sensor correspondence connects an A/D converter, and the signal that sensor exports is converted to the discernible digital signal of computing machine by A/D converter.
Real-time information storage processing unit 2 is connected with each A/D converter by universal serial bus, thus can obtain digital signal that A/D converter transmits and these Signal transmissions can be gone out.
Operation information analytic unit 3 one aspect is connected with real-time information storage processing unit 2, thus obtain the digital signal of the service data of the transformer body 1 detected in real time, be connected with model analysis unit on the other hand thus obtain the moving model of transformer body 1.Model analysis unit comprises the master pattern database 4 of the standard operating model storing transformer body 1, and the standard operating model of transformer body 1 can be supplied to operation information analytic unit 3 by it.In order to implement to control to transformer body 1 better, model analysis unit also comprises moving model self study unit 5, this moving model self study unit 5 is connected with operation information analytic unit 3 with master pattern database 4 respectively, thus computing can be carried out based on the digital signal of the standard operating model of transformer body 1 and the service data obtained in real time and obtain the real time execution model of transformer body 1 and refresh, then real time execution model is supplied to operation information analytic unit 3.The real time execution model that the digital signal of operation information analytic unit 3 pairs of real-time running datas and moving model self study unit 5 provide is analyzed, and obtains the failure message of transformer body 1.
Faulted-phase judgment unit 6 is connected with operation information analytic unit 3, and it produces the control signal to transformer body 1 according to failure message.Logic control element 7 one end is connected with faulted-phase judgment unit 6, the other end is connected with transformer body 1, it can the fan power contactor FK, system output state relay J etc. of connection transformer body 1, and control signal is passed to transformer body 1 thus realized controlling by it.
The insulation system of transformer body 1 is in operational process, under being in electricity, machinery, chemical equal stress effect for a long time, thus inevitably aging gradually, even also there will be insulation defect in the weak link of system.If fail Timeliness coverage taking measures, defect, by development, finally develops into dielectric breakdown accident, will cause serious power outage and heavy economic losses.And above-mentioned intelligent transformer, the collection of application real-time traffic information, moving model self study, fault-signal judges, perform the functions such as control, the standard operating model comparison that the information collected by real time execution and self study are set up, when finding that there is failure message, but when not reaching danger classes, alerting signal is sent by faulted-phase judgment unit 6, and select suitable time controling transformer body 1 out of service by logic control element 7, and safeguard by state, effectively can control failure propagation and reduce the fault outage time, the local intelligentization realizing transformer body 1 controls.
Above-mentioned intelligent control system can also comprise real-time running data storehouse 8, failure information database 9, and information issue unit 10.Real-time running data storehouse 8 is connected with real-time information storage processing unit 2 and real-time traffic information for storing transformer body 1, and failure information database 9 is connected with operation information analytic unit 3 and failure message for storing transformer body 1.Information issue unit 10 is connected with model analysis unit with real-time running data storehouse 8, failure information database 9 respectively, thus can show information and the warning message such as real-time traffic information, the failure message of transformer body 1, the moving model of transformer body 1 of transformer body 1.
In addition, intelligent control system also to be communicated with electrical network master control system by communication protocol and is connected.When electrical network master control system be generating plant, transformer station the computer system of monitoring center time, intelligent control system simultaneously the information received by computer network to generating plant, the monitoring center of transformer station transmits instant operation information, the monitoring center computer system of generating plant, transformer station use expert system by receive the further computing of information, analysis, judge the running status of current transformer, shown by objective interface, determine maintenance scheme by the health status of transformer.When electrical network master control system is intelligent grid scheduling, administrative authority, during the data analysis system of the mechanisms such as intelligent grid research institute, intelligent transformer research institute, they can obtain intelligent transformer service data by network, deeper processing, analysis, statistics and intelligent computing are done to service data, for reasonable, reliable, the Effec-tive Function of intelligent grid provide effective guarantee.Wherein, intelligent transformer research institute, by the analysis of the intelligent transformer service data of acquisition in conjunction with expert system, is studied on-line operation transformer state variation tendency, and for developing efficient, long-life, the intelligent transformer of non-maintaining operation provides scientific basis.
Above-described embodiment, only for technical conceive of the present invention and feature are described, its object is to person skilled in the art can be understood content of the present invention and implement according to this, can not limit the scope of the invention with this.All equivalences done according to Spirit Essence of the present invention change or modify, and all should be encompassed within protection scope of the present invention.
Claims (8)
1. an intelligent transformer, comprise transformer body, it is characterized in that: it also comprises the multinomial service data that obtains described transformer body in real time and analyzes described service data and draw the intelligent control system that control signal is run to control described transformer body.
2. intelligent transformer according to claim 1, it is characterized in that: described intelligent control system comprises several for obtaining the sensor of the service data of described transformer body, several are converted to the A/D converter of digital signal for the signal exported by described sensor, for obtaining and transmitting the real-time information storage processing unit of described digital signal, the moving model of described digital signal and described transformer body is analyzed to the operation information analytic unit of the failure message obtaining described transformer body, the model analysis unit of the moving model of described transformer body is provided to described operation information analytic unit, the faulted-phase judgment unit of described control signal is produced according to described failure message, described control signal is passed to the logic control element that described transformer body is implemented,
Sensor described in each is connected with described transformer body respectively, A/D converter described in each is connection corresponding with sensor described in each respectively, described real-time information storage processing unit is connected with A/D converter described in each, described operation information analytic unit is connected with described model analysis unit with described real-time information storage processing unit respectively, described faulted-phase judgment unit is connected with described operation information analytic unit, and described logic control element is connected with described faulted-phase judgment unit and is connected to described transformer body.
3. intelligent transformer according to claim 2, is characterized in that: described model analysis unit comprise the standard operating model storing described transformer body master pattern database, be connected with described master pattern database with described operation information analytic unit thus obtain the real time execution model of described transformer body according to described digital signal and described standard operating model computing and be supplied to the moving model self study unit of described operation information analytic unit respectively.
4. intelligent transformer according to claim 2, is characterized in that: described intelligent control system also comprises and to be connected with described real-time information storage processing unit and to store the real-time running data storehouse of the real-time traffic information of described transformer body, be connected and store the failure information database of the failure message of described transformer body with described operation information analytic unit.
5. intelligent transformer according to claim 4, it is characterized in that: described intelligent control system also comprises the information issue unit of the real-time traffic information showing described transformer body, the failure message of described transformer body, the moving model of described transformer body, described information issue unit is connected with described model analysis unit with described real-time running data storehouse, described failure information database respectively.
6. intelligent transformer according to claim 2, it is characterized in that: described sensor comprise be connected with described transformer body several current transformers, voltage sensor, temperature sensor, local discharge sensor, shock sensor, several in logic state collector, described current transformer is connected with current transducer, and described voltage sensor is connected with voltage transmitter.
7. intelligent transformer according to claim 2, is characterized in that: described A/D converter is connected by universal serial bus with described real-time information storage processing unit.
8. intelligent transformer according to any one of claim 1 to 7, is characterized in that: described intelligent control system communicates with electrical network master control system and is connected.
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CN201510723231.XA CN105223892A (en) | 2015-10-29 | 2015-10-29 | Intelligent transformer |
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CN201510723231.XA CN105223892A (en) | 2015-10-29 | 2015-10-29 | Intelligent transformer |
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
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CN106643877A (en) * | 2016-11-18 | 2017-05-10 | 西安亚能电气有限责任公司 | Multi-sensing information fusion-based power transformer on-line monitoring system and method |
CN114296009A (en) * | 2022-03-10 | 2022-04-08 | 山东汇能电气有限公司 | Intelligent analysis system for transformer operation |
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CN103575334A (en) * | 2013-11-08 | 2014-02-12 | 苏州康开电气有限公司 | Electromechanical device intelligent analysis system |
CN205080407U (en) * | 2015-10-29 | 2016-03-09 | 苏州康开电气有限公司 | Intelligent transformer |
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CN103578336A (en) * | 2013-11-08 | 2014-02-12 | 苏州康开电气有限公司 | Intelligent self-learning system for electromechanical equipment |
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CN114296009A (en) * | 2022-03-10 | 2022-04-08 | 山东汇能电气有限公司 | Intelligent analysis system for transformer operation |
CN114296009B (en) * | 2022-03-10 | 2022-05-24 | 山东汇能电气有限公司 | Intelligent analysis system for transformer operation |
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Application publication date: 20160106 |