CN204761154U - New forms of energy power station failure recognition and state monitoring system - Google Patents
New forms of energy power station failure recognition and state monitoring system Download PDFInfo
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- CN204761154U CN204761154U CN201520164664.1U CN201520164664U CN204761154U CN 204761154 U CN204761154 U CN 204761154U CN 201520164664 U CN201520164664 U CN 201520164664U CN 204761154 U CN204761154 U CN 204761154U
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Abstract
The utility model relates to a new forms of energy power station failure recognition and state monitoring system, including gathering layer, communication layer and integrated treatment layer, it passes through to gather the layer communication layer with integrated treatment layer communication connection, the integrated treatment layer includes comprehensive application module and data management module through communication connection. Use the utility model discloses the high frequency sample data of the voltage electric current of each generating line, circuit and equipment in can the measuring station to can intelligent judgment vibration source, harmonic source and short -circuit fault, make things convenient for the staff to provide the urgent anti - scheme of arranging, the utility model discloses can also utilize the historical operating data in the wind -powered electricity generation field to realize functions such as the comprehensive assessment of new forms of energy power station equipment operation, intelligent early warning with real -time equipment operating data.
Description
Technical field
The utility model relates to new energy power station Fault Identification and status monitoring field, particularly relates to a kind of new energy power station Fault Identification and condition monitoring system.
Background technology
End in September, 2014, the accumulative grid connection capacity in the China Wind Power generating whole nation reaches 8,497 ten thousand kilowatts, and the accumulative installed capacity in the photovoltaic generation whole nation is more than 2,000 ten thousand kilowatts, and wind power generation and photovoltaic generation have become the industry with considerable scale.Along with wind power generation and photovoltaic generation capacity proportion in regional power grid increasing, for electric power system bring opportunity to develop while also give all many-sides such as its safe and stable operation and scheduling controlling etc. bring new challenge.The access point of Large Scale Wind Farm Integration and photovoltaic plant mostly is electrical network end, and its regional power grid belongs to light current net, and voltage stability is poor.
The experimental results shows, the poorer electric network active of voltage stability, idle change are all the more sensitive on the impact of system voltage.The problem such as easy coating-forming voltage collapse, electrical network vibration, resonance in the electrical network of voltage stability difference; these grid failure states all will affect the normal operation of blower fan; particularly electrical network vibration; the equipment such as wind-powered electricity generation and photovoltaic DC-to-AC converter is not only made to quote fault and shut down; affect the availability of equipment, and even can have influence on power consumption equipment life-span in power station in the electrical network serious area that vibrates.In addition, the current collection circuit in wind energy turbine set and photovoltaic plant is the fault because the qualitative factor of the equipment such as insulator is short-circuited easily, and each fault all can expend the power transformation personnel plenty of time and patrol and examine circuit, and consequent energy output loss is also huge.
In current wind energy turbine set and photovoltaic plant booster stations, the quality of power supply and relaying protection recorded broadcast equipment are all installed; but their monitoring range is only in booster stations; do not relate to separate unit fan outlet or photovoltaic DC-to-AC converter outlet; therefore, when cannot failure judgement point regional extent after current collection line failure.These equipment do not possess intelligent mode recognition function yet simultaneously, and also human-computer interaction interface is not installed in booster stations Central Control Room, operator on duty cannot be allowed fast to know fault type (electrical network vibration, resonance, short trouble etc.), thus the operating maintenance at substantial manpower and materials in booster stations can be caused, and equipment running status cannot be predicted in advance, be all often just it is processed after equipment breaks down in all class situations, do not have planned.
Patent CN103178617A refer to a kind of grid operation state and the analytical system that are applied to electric power system, comprise: gather client, terminal server and data storage, wherein gather client and obtain its 220KV converting equipment reactive voltage, stable limit, 220KV main transformer N-1 state or electrical network abnormal condition signal by connecting each electrical network converting equipment in a region, gather client's side link to terminal server, data storage is connected with terminal server.Its Curve guide impeller is: comprise further and the data acquisition node gathering client's side link, it comprises a signal transceiver, for receiving the described signal in a setting regions around it; A geographic information processing device, for confirming the positional information of the new converting equipment in setting regions; A signal controller, for carrying out data processing to the signal from the whole converting equipments in predeterminable area.Wherein, signal transceiver is connected to signal controller and geographic information processing device respectively, several signals in described setting regions are obtained by signal transceiver, decided the positional information of this signal by the signal strength signal intensity maximum in geographic information processing device, process received signal by signal controller subsequently and be sent to collection client by signal transceiver.
The method mentioned in above-mentioned patent need utilize collection client to obtain its 220KV converting equipment reactive voltage, stable limit, 220KV main transformer N-1 state or electrical network abnormal condition signal by connecting each electrical network converting equipment in a region, and by realizing status monitoring to the corresponding alarm door threshold value in various degree of the setting such as circuit and main transformer, provide strategy of rationing the power supply in emergency circumstances.But this condition monitoring system is mainly in power transmission network, but not system in wind energy turbine set or photovoltaic plant, and the method does not detect each bar current collection circuit in wind energy turbine set and photovoltaic plant, if there is electric network fault as vibration, resonance, short trouble etc., cannot intelligent decision oscillation source, harmonic source and short circuit trouble point, also service data is not stored, wind energy turbine set or photovoltaic plant cannot be carried out and run intelligent evaluation and intelligent early-warning.
As can be seen here, above-mentioned existing be applied in grid operation state in electric power system and analytical system structure with use, obviously still have inconvenience and defect, and be urgently further improved.How to found a kind of new new energy power station Fault Identification and condition monitoring system, one of current important research and development problem of real genus.
Utility model content
The technical problems to be solved in the utility model is to provide a kind of new energy power station Fault Identification and condition monitoring system, can by monitoring wind energy turbine set network operation data and equipment operating data, determine wind energy turbine set internal fault type and equipment health status, and send alarm at the human-computer interaction interface of middle control and emergent solution is provided, thus overcome the deficiencies in the prior art.
For solving the problems of the technologies described above, a kind of new energy power station Fault Identification of the utility model and condition monitoring system, comprise acquisition layer, communication layers and integrated treatment layer, described acquisition layer is communicated to connect by described communication layers and described integrated treatment layer, described integrated treatment layer comprise by communication connection integrated application module and data management module.
Improve as one of the present utility model, described acquisition layer comprises separate setting and the booster stations electrical net detect module be connected with new energy power station, the grid-connected detection module of new forms of energy equipment unit and equipment running status monitoring modular.
Described communication layers is wireline communication channels.
Described communication layers comprises RS485/232/422 and TCP/IP protocol converter, described RS485/232/422 and described TCP/IP protocol converter connected in series.
Described integrated treatment layer also comprises Relation DB module, and described data management module and described Relation DB module communicate to connect.
Described acquisition layer also comprises separate setting and the route protection module, main transformer protection module, 110V or 220V protection module and the 35kV protection module that shield to new energy power station.
Described route protection module is circuit relay protection device, and described main transformer protection module is main transformer protective relaying device, and described 110kV or 220kV protection module and described 35kV protection module are bus relay protector.
Described integrated treatment layer also comprises the front end human-computer interactive control module be connected with integrated application module communication.
After adopting such design, the utility model at least has the following advantages:
1, the utility model can be useful in wind energy turbine set and photovoltaic plant;
2, the utility model can go out oscillation source, harmonic source and short trouble by the electric current and voltage high frequency sampled data intelligent decision detecting each bus, circuit and equipment in new energy power station station, facilitates staff to provide urgent anti-scheme of arranging;
3, the utility model can utilize the history data in wind energy turbine set and real-time running data to realize the function such as comprehensive assessment, intelligent early-warning of new energy power station operation.
Accompanying drawing explanation
Above-mentioned is only the general introduction of technical solutions of the utility model, and in order to better understand technological means of the present utility model, below in conjunction with accompanying drawing and embodiment, the utility model is described in further detail.
Fig. 1 is the hardware logic architecture block diagram of the electric network fault identification of the utility model new energy power station and equipment Condition Monitoring System.
Embodiment
The utility model, mainly for large-scale grid connection wind energy turbine set or photovoltaic plant, judges power station running status by the operation of power networks data intelligence of each equipment and current collection circuit in measuring station.In addition, the utility model can go out oscillation source, harmonic source and short trouble by the electric current and voltage high frequency sampled data intelligent decision detecting each bus, circuit and equipment in new energy power station station, facilitates staff to provide urgent anti-scheme of arranging.Generally speaking, the utility model can utilize the history data in wind energy turbine set and real-time running data to realize the function such as comprehensive assessment, intelligent early-warning of new energy power station operation.
Refer to the specific embodiment shown in Fig. 1, this concrete new energy power station Fault Identification and condition monitoring system are logically divided into integrated treatment layer, communication layers, acquisition layer three levels, some subhierarchies and module can be divided into again in each level, each level and the unified entirety of module generation, coordinate the function that completion system is complete.Acquisition layer is communicated to connect by described communication layers and integrated treatment layer, integrated treatment layer comprise by communication connection integrated application module and data management module, acquisition layer comprises separate setting and the booster stations electrical net detect module be connected with new energy power station, the grid-connected detection module of new forms of energy equipment unit and equipment running status monitoring modular.
Communication layers is wireline communication channels, and particularly, communication layers comprises RS485/232/422 and TCP/IP protocol converter, and RS485/232/422 and TCP/IP protocol converter is connected in series.
Integrated treatment layer also comprises Relation DB module and front end human-computer interactive control module, and data management module and Relation DB module communicate to connect, and front end human-computer interactive control module is connected with integrated application module communication.
Acquisition layer also comprises separate setting and the route protection module, main transformer protection module, 110V or 220V protection module and the 35kV protection module that shield to new energy power station; route protection module is circuit relay protection device; main transformer protection module is main transformer protective relaying device, 110kV or 220kV protection module and 35kV protection module are bus relay protector.
Acquisition layer is the information bottom of acquisition system, is responsible for the initial data gathering and provide whole new energy power station, and performs collection action request, execution result back.
Communication layers is the tie of acquisition layer and integrated treatment layer, provides wireline communication channels, for the information interaction of integrated treatment layer and acquisition layer provides link basis, for device data transmission, control command transmission and GPS couple time.
The function of booster stations electrical net detect module detects electric current, the power of conveying circuit and current collection circuit inside and outside booster stations, detect electric current, the power of main transformer high-pressure side and voltage side in booster stations, detect the busbar voltage of booster stations, meanwhile, the secondary circuit in booster stations utilize high frequency sampling system carry out sample detecting to above-mentioned detected value.
The function of equipment running status monitoring modular is detection booster stations main transformer oil, stand interior switch and line temperature.
The function of the grid-connected detection module of new forms of energy equipment unit detects new energy power station equipment and the voltage of site, electric current and power.
Protection act signal is sent to integrated application module by TCP/IP protocol converter by route protection module, main transformer protection module, 110kV or 220kV protection module and 35kV protection module, for high frequency sampling fault recorded broadcast triggering and alarm.
The function of integrated application module is the various acquisition management functions realizing system, comprises booster stations and runs the service logic based on all kinds of statistical analyses application of gathered initial data such as assessment, grid stability assessment, stabilization of power grids early warning analysis, equipment operation early warning analysis, electric network fault Intelligent Recognition and alarm, operational outfit monitoring alarm etc.Specifically comprise the high sample frequency data analysis to recording during electric network fault, for the judgement of Fault Pattern Recognition and fault point; The service data of low sample frequency is analyzed, runs assessment, stabilization of power grids early warning analysis for wind energy turbine set; Booster stations equipment running status Monitoring Data is analyzed, runs early warning analysis for booster stations equipment.
Front end human-computer interaction module comprises wind power plant power grid operation state interface, Real-time Alarm and history alarm record interface, failure warning and Intelligent Recognition interface, wind energy turbine set run assessment interface, stabilization of power grids early warning analysis interface, equipment run early warning analysis interface, equipment running status monitoring interface, unit exception state alarm interface.Front end human-computer interactive control module is used for man-machine interaction, notice wind energy turbine set power transformation personnel are correlated with warning information facilitate it to implement the anti-scheme of arranging of related emergency, particularly, be responsible for equipment control, comprehensive inquiry, the issuing of manual activation capturing service instruction, and receiving terminal controls to perform the dependent feedback signal of instruction to the equipment execution result of band controlling functions.
The function of data management module carries out the collection of status information of equipment, operation information etc., the stipulations of the network insertion and communication message of being responsible for communication collecting device are resolved and conversion, complete the function such as data loading and forwarding.
Relation DB module comprises booster stations power grid high-frequency sampling database, new forms of energy equipment unit grid-connected high frequency sampling database, booster stations low-frequency sampling runtime database, the grid-connected low-frequency sampling runtime database of new forms of energy equipment unit, booster stations equipment running status monitor database.
The above; it is only preferred embodiment of the present utility model; not do any pro forma restriction to the utility model, those skilled in the art utilize the technology contents of above-mentioned announcement to make a little simple modification, equivalent variations or modification, all drop in protection range of the present utility model.
Claims (7)
1. a new energy power station Fault Identification and condition monitoring system, it is characterized in that comprising acquisition layer, communication layers and integrated treatment layer, described acquisition layer is communicated to connect by described communication layers and described integrated treatment layer, described integrated treatment layer comprise by communication connection integrated application module and data management module;
Described acquisition layer comprises separate setting and the booster stations electrical net detect module be connected with new energy power station, the grid-connected detection module of new forms of energy equipment unit and equipment running status monitoring modular.
2. a kind of new energy power station Fault Identification according to claim 1 and condition monitoring system, is characterized in that described communication layers is wireline communication channels.
3. a kind of new energy power station Fault Identification according to claim 2 and condition monitoring system, it is characterized in that described communication layers comprises RS485/232/422 and TCP/IP protocol converter, described RS485/232/422 and described TCP/IP protocol converter connected in series.
4. a kind of new energy power station Fault Identification according to claim 1 and condition monitoring system, it is characterized in that described integrated treatment layer also comprises Relation DB module, described data management module and described Relation DB module communicate to connect.
5. a kind of new energy power station Fault Identification according to claim 1 and condition monitoring system, is characterized in that described acquisition layer also comprises separate setting and the route protection module, main transformer protection module, 110kV or 220kV protection module and the 35kV protection module that shield to new energy power station.
6. a kind of new energy power station Fault Identification according to claim 5 and condition monitoring system; it is characterized in that described route protection module is circuit relay protection device; described main transformer protection module is main transformer protective relaying device, and described 110kV or 220kV protection module and described 35kV protection module are bus relay protector.
7. a kind of new energy power station Fault Identification according to claim 1 and condition monitoring system, is characterized in that described integrated treatment layer also comprises the front end human-computer interactive control module be connected with integrated application module communication.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104682566A (en) * | 2015-03-23 | 2015-06-03 | 北京天源科创风电技术有限责任公司 | Fault recognition and condition monitoring system for new energy source power station |
| CN108445862A (en) * | 2018-02-06 | 2018-08-24 | 国网江西省电力有限公司电力科学研究院 | A kind of test system and method for new energy power station control performance |
| CN108574342A (en) * | 2018-05-23 | 2018-09-25 | 国网江苏省电力有限公司常州供电分公司 | The monitoring system of 230M power load control communication base stations |
| CN111641214A (en) * | 2020-07-11 | 2020-09-08 | 李瑶 | Stable quota monitoring and checking system |
| CN114236423A (en) * | 2021-12-16 | 2022-03-25 | 周口师范学院 | Power system transmission line short-circuit fault diagnosis method |
-
2015
- 2015-03-23 CN CN201520164664.1U patent/CN204761154U/en active Active
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104682566A (en) * | 2015-03-23 | 2015-06-03 | 北京天源科创风电技术有限责任公司 | Fault recognition and condition monitoring system for new energy source power station |
| CN108445862A (en) * | 2018-02-06 | 2018-08-24 | 国网江西省电力有限公司电力科学研究院 | A kind of test system and method for new energy power station control performance |
| CN108574342A (en) * | 2018-05-23 | 2018-09-25 | 国网江苏省电力有限公司常州供电分公司 | The monitoring system of 230M power load control communication base stations |
| CN108574342B (en) * | 2018-05-23 | 2023-10-27 | 国网江苏省电力有限公司常州供电分公司 | Monitoring system of 230M power load control communication base station |
| CN111641214A (en) * | 2020-07-11 | 2020-09-08 | 李瑶 | Stable quota monitoring and checking system |
| CN111641214B (en) * | 2020-07-11 | 2022-08-09 | 仁净(江苏)集成系统科技有限公司 | Stable quota monitoring and checking system |
| CN114236423A (en) * | 2021-12-16 | 2022-03-25 | 周口师范学院 | Power system transmission line short-circuit fault diagnosis method |
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