CN216008756U - Intelligent wind turbine generator control system - Google Patents
Intelligent wind turbine generator control system Download PDFInfo
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- CN216008756U CN216008756U CN202121674366.9U CN202121674366U CN216008756U CN 216008756 U CN216008756 U CN 216008756U CN 202121674366 U CN202121674366 U CN 202121674366U CN 216008756 U CN216008756 U CN 216008756U
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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
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
An intelligent wind turbine generator control system comprises an edge controller, a cloud gateway, an intelligent integrated cloud platform, a control device, a wireless control system, a field control and measurement element, an intelligent data acquisition device, an intelligent environment sensor, an intelligent vibration sensor, an intelligent Internet of things sensor and an intelligent video camera The functions of diagnosis, calculation, visualization and the like are realized, and more friendly, safe, efficient and reliable energy supply is realized.
Description
Technical Field
The utility model relates to the field of automatic control of wind power generation, in particular to an intelligent wind turbine generator control system.
Background
The control unit of the wind generating set is the core of fan control, and conventionally comprises a tower base main controller system (main PLC) and a cabin yaw control system (remote IO), wherein the control system is connected with a field detection element and an actuating mechanism through hard wiring and is communicated with a converter system and a variable pitch system through a field bus to realize the functions of monitoring the state, alarming, controlling the rotating speed, controlling and protecting the automatic power generation of the fan set, and the control unit can provide a redundant Ethernet interface for remote centralized monitoring of a wind field at the same time, so that operators can realize centralized operation, monitoring and control of each fan of the wind field on an operator station in a control room.
With the 'industry 4.0' further promoting intelligent manufacturing, Information Technologies (IT) such as cloud computing, big data, industrial internet of things (IIoT) and mobile application and industrial automation Operation Technology (OT) show a trend of mutual penetration development, intelligent analysis and visual presentation of data can be performed on the basis of connection, acquisition and storage of various data sources, and the data are integrated and fused with a real-time control system, so that optimization of a control result can be finally realized, and conversion from digitalization to intellectualization is promoted.
The hardware system architecture of the conventional wind generating set control system mainly has the following defects under the large trend of intellectualization:
1. the PLC software and hardware characteristics as the main controller determine that the PLC software and hardware characteristics can only utilize structured operation data to process logic operation based on time certainty, high speed and repetition, and can not directly collect unstructured data from other data sources, such as images, sound, videos, industrial internet of things (IIoT) and other intelligent sensor signals.
2. Conventional wind generating set PLC control system, can't realize the processing of unstructured data such as vibration, image, sound, video at the edge side, when whole wind farm needs to have intelligent perception, when functions such as control and management, can only adopt data to upload to intelligent cloud platform through long-range centralized monitoring system and carry out analysis and calculation, issue the result to wind generating set control unit again, from this can cause the real-time of control to reduce, the accuracy descends, be unfavorable for wind generating set's intelligent control optimization, and a large amount of data upload to cloud platform also occupy a large amount of network channels, data processing cost has been increased.
3. The control units of the conventional wind generating sets form a remote centralized monitoring system network, are further connected with the cloud platform, and need to send an optimization result to the fan control device after data analysis and calculation, and under the condition, the division of a network safety area and the safety and integrity of data need to be considered again. The common control unit of the wind generating set has certain risks in the aspect of network safety.
SUMMERY OF THE UTILITY MODEL
The utility model aims to solve the technical problems of the existing wind generating set control and provides an intelligent wind generating set control system adopting an edge controller.
In order to achieve the purpose, the utility model provides an intelligent wind turbine generator control system which comprises an edge controller, a cloud gateway, an intelligent integrated cloud platform, a control device, a wireless control system, a field control and measurement element, an intelligent data acquisition device, an intelligent environment sensor, an intelligent vibration sensor, an intelligent Internet of things sensor and an intelligent video camera, wherein the control device comprises a variable pitch control device and a converter control device, the edge controller is provided with an interface, the variable pitch control device, the converter control device and the data acquisition device are connected with the edge controller, the field control and measurement element is connected with the edge controller interface through hard wiring, the edge controller performs data transmission with the intelligent integrated cloud platform through the cloud gateway, and the intelligent environment sensor, the intelligent vibration sensor and the intelligent video camera, The intelligent Internet of things sensor and the intelligent video camera access unstructured data to the edge controller through the wireless control system.
Further, the wireless control system comprises a wireless transmitting unit and a wireless receiving unit, and the wireless receiving unit receives signals from the wireless transmitting unit through a wireless network.
Furthermore, the pitch control device and the converter control device are connected with the edge controller through a field bus.
Furthermore, the data acquisition device is connected with the edge controller through serial port communication.
Furthermore, the edge controller sends data to a mobile phone or a notebook computer through a wireless control system.
Furthermore, the intelligent integrated cloud platform can send data to desktop computer equipment or mobile equipment through a wireless control system.
The intelligent fan control system disclosed by the utility model forms a full-hierarchy open architecture of an edge and a cloud end through the boundary-crossing fusion of human-machine-network-object, intelligent control is completed at the edge side, tasks such as big data analysis, model training, algorithm updating and the like of non-real-time and long-period data based on a plurality of wind field operating conditions are driven at the cloud end, the remote monitoring, diagnosis, analysis, guidance and data sharing of an intelligent optimization control strategy of a fan unit are realized, the functions of remote monitoring, diagnosis, calculation, visualization and the like can be realized by utilizing a mobile terminal or desktop computer equipment, and more friendly, safe, efficient and reliable energy supply is realized.
Drawings
FIG. 1: a structure diagram of an intelligent wind turbine generator control system;
the drawings are numbered as follows: 1-edge controller; 2-pitch control device; 3-converter control device 4-field control and measurement element; 5, an intelligent data acquisition device; 6-intelligent environmental sensor; 7-intelligent vibration sensor; 8, an intelligent Internet of things sensor; 9-intelligent video camera; 10-mobile phone or notebook computer; 11-cloud gateway; 12-an intelligent integrated cloud platform; 13-a mobile device; 14 — desktop computer devices.
Detailed Description
The embodiment of the present invention is described in detail with reference to fig. 1 for the application advantages of the edge controller-based wind turbine control system in intelligent wind turbine control.
The intelligent fan unit control system architecture mainly comprises an application layer, a cloud platform layer, an edge layer and an equipment layer.
The application layer comprises mobile equipment 13 and desktop computer equipment 14, the cloud platform layer comprises an intelligent integrated cloud platform 12, the edge layer comprises a cloud gateway 11, an edge controller 1 and a mobile phone or a notebook computer 10 connected with the edge controller 1 through a wireless control system, the equipment layer comprises a variable pitch control device 2, a converter control device 3, a field control and measurement element 4, an intelligent data acquisition device 5, an intelligent environment sensor 6, an intelligent vibration sensor 7, an intelligent Internet of things sensor 8 and an intelligent video camera 9, the edge controller 1 is provided with an interface, the variable pitch control device 2, the converter control device 3, the field control and measurement element 4 and the data acquisition device 5 are connected through the edge controller 1, the edge controller 1 performs data transmission with the intelligent integrated cloud platform 12 through the cloud gateway 11, the wireless control system comprises a wireless transmitting unit and a wireless receiving unit, the wireless receiving unit receives signals from the wireless transmitting unit through a wireless network, and the intelligent environmental sensor 6, the intelligent vibration sensor 7, the intelligent Internet of things sensor 8 and the intelligent video camera 9 access unstructured data into the edge controller 1 through the wireless control system.
The working temperature range of the edge controller 1 reaches-40 DEG COC～70OC. The wind turbine generator set can be operated in an environment with pollution level 2 of G3 or IEC 664-1 defined by ISA S71.04, and meets the operating environment requirements of the wind turbine generator set in the aspects of firmness, durability, high heat resistance, vibration resistance and the like.
The conventional I/O interface of the edge controller 1 CAN be directly connected with the control and feedback signals of a field control and measurement element 4 in the intelligent wind turbine control system through hard wiring, a Profibus or CAN bus CAN be adopted to access the edge controller 1 for a variable pitch control device 2 and a converter control device 3 which are provided with control devices and support a field bus, and similarly, equipment such as an intelligent data acquisition device 5 with relatively centralized fans CAN be accessed to the edge controller 1 through Modbus RS485 serial port communication.
The edge controller 1 manages a plurality of kernels through a virtual machine technology, integrates a real-time operating system for logic control and a general operating system for realizing data analysis and calculation into a control device, realizes internal safety communication based on OPC UA, and enhances the control optimization function of software definition while ensuring strict reliability, safety and real-time required by industrial application programs.
The system comprises a real-time operating system kernel based on a virtual technology and a high-level programming language meeting IEC61131-3 standards of an Operation Technology (OT), and can completely realize the functions of field data acquisition, monitoring, alarming, start control, grid-connected control, rotating speed control, power control, reactive compensation control, yaw control, cable release control, oil pump and fan auxiliary machine control and the like of the fan unit.
Meanwhile, the edge controller 1 also supports various industrial internet of things (IIoT) data transmission modes and protocols, such as 5G, WiFi, NBIoT, OPC UA, MQTT and the like, and can access unstructured data of the intelligent data acquisition device 5, the intelligent environmental sensor 6, the intelligent vibration sensor 7, the intelligent internet of things sensor 8, the intelligent video camera 9 and the like of the fan unit equipment to the edge controller 1.
The edge controller 1 can use modern programming languages, such as C/C + +, Java, Python and the like, in a Linux kernel of a general operating system based on a virtual technology, and performs real-time control signal optimization based on data calculation analysis without influencing a control process. The control output is connected with the pitch control device 2, the converter control device 3 or the conventional field control and measurement element 4 through external communication or hard wiring, so that the advanced intelligent control function of the field equipment can be realized at the edge side, and the real-time performance and the accuracy of data acquisition and control are ensured.
Because the edge controller 1 has a Linux kernel of a general operating system and is internally provided with Websever and an IoT voice auxiliary suite of a third party, the wireless control system can adopt a 5G or WiFi module, mobile terminals such as a mobile phone or a notebook computer 10 and the like are directly used as a human-machine interface (HMI) on the premise of ensuring the safety, the monitoring and the control of the fan are completed on the edge side, and the visual display and the mobile application based on voice assistance are realized on the diagnosis and analysis results.
After the control system is adopted, aiming at the on-line state monitoring (CMS), blade stress monitoring, tower barrel shaking degree and settlement monitoring, gear box oil quality monitoring and other state monitoring functions which need to be realized by the wind turbine generator, the on-site collection of vibration, acceleration, inclination angle, stress load, temperature, pressure and other operation data can be directly carried out, the diagnosis and analysis of the state of the fan can be executed at the edge side, the fan generator can be linked in the controller if necessary, and the effective control of abnormal states such as vibration, tower barrel abnormal shaking and the like can be realized.
The edge controller 1 can directly perform data transmission based on modes such as OPC UA and MQTT with a higher-layer intelligent integrated cloud platform 12 on the premise of ensuring the security through the cloud gateway 11. The data calculation and analysis mode based on the local information at the edge side ensures the timeliness and simplifies the network connection, and only necessary data is uploaded to the intelligent integrated cloud platform 12 to complete further analysis, so that the energy consumption of mass data transmission and operation is reduced.
The intelligent fan unit control system architecture mainly comprises an edge controller, an edge gateway, an intelligent integrated cloud platform, a conventional sensor/field control and measurement element, an intelligent sensing device and a wireless or wired network, wherein the conventional sensor/field control and measurement element, the intelligent sensing device and the wireless or wired network are connected with the intelligent integrated cloud platform.
Besides supporting the connection of the conventional sensor/field control and measurement element through I/O (input/output), supporting the communication connection with a field bus device, the edge controller can also be connected with intelligent sensing equipment supporting the industrial Internet of things through transmission modes such as wired transmission, WIFI (wireless fidelity) and 5G (wireless fidelity) and the like, such as images, sound, videos and signals.
The edge controller simultaneously completes the acquisition, storage, analysis and calculation of real-time data and industrial internet of things (IIoT) sensing signals at the edge side, and outputs optimized control signals to realize intelligent control of the field device.
The edge controller is directly connected with the intelligent integrated cloud platform through the cloud gateway, and remote monitoring, diagnosis, analysis and guidance based on big data, data sharing and mobile application can be achieved.
Claims (6)
1. The utility model provides an intelligence wind turbine generator system which characterized in that: comprises an edge controller, a cloud gateway, an intelligent integrated cloud platform, a control device, a wireless control system, a field control and measurement element, an intelligent data acquisition device, an intelligent environment sensor, an intelligent vibration sensor, an intelligent Internet of things sensor and an intelligent video camera, the control device comprises a pitch control device and a converter control device, the edge controller is provided with an interface, the variable pitch control device, the converter control device and the data acquisition device are connected with the edge controller, the field control and measurement element is connected with an edge controller interface through hard wiring, the edge controller carries out data transmission with the intelligent integrated cloud platform through a cloud gateway, the intelligent environmental sensor, the intelligent vibration sensor, the intelligent Internet of things sensor and the intelligent video camera access unstructured data to the edge controller through the wireless control system.
2. The intelligent wind turbine control system according to claim 1, wherein: the wireless control system comprises a wireless transmitting unit and a wireless receiving unit, wherein the wireless receiving unit receives signals from the wireless transmitting unit through a wireless network.
3. The intelligent wind turbine control system according to claim 1, wherein: the variable pitch control device and the converter control device are connected with the edge controller through a field bus.
4. The intelligent wind turbine control system according to claim 1, wherein: the data acquisition device is in communication connection with the edge controller through a serial port.
5. The intelligent wind turbine control system according to claim 1, wherein: and the edge controller transmits the data to a mobile phone or a notebook computer through a wireless control system.
6. The intelligent wind turbine control system according to claim 1, wherein: the intelligent integrated cloud platform can send data to desktop computer equipment or mobile equipment through a wireless control system.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202121674366.9U CN216008756U (en) | 2021-07-22 | 2021-07-22 | Intelligent wind turbine generator control system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202121674366.9U CN216008756U (en) | 2021-07-22 | 2021-07-22 | Intelligent wind turbine generator control system |
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| CN216008756U true CN216008756U (en) | 2022-03-11 |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115330114A (en) * | 2022-06-28 | 2022-11-11 | 大唐可再生能源试验研究院有限公司 | Novel framework wind power electric control system |
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2021
- 2021-07-22 CN CN202121674366.9U patent/CN216008756U/en active Active
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115330114A (en) * | 2022-06-28 | 2022-11-11 | 大唐可再生能源试验研究院有限公司 | Novel framework wind power electric control system |
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