CN214707725U

CN214707725U - Load distributed computing system of wind generating set

Info

Publication number: CN214707725U
Application number: CN202120170266.6U
Authority: CN
Inventors: 徐伊丽; 王瑞良; 章培成; 孙勇; 李涛
Original assignee: Zhejiang Windey Co Ltd
Current assignee: Zhejiang Windey Co Ltd
Priority date: 2021-01-21
Filing date: 2021-01-21
Publication date: 2021-11-12
Anticipated expiration: 2031-01-21

Abstract

The utility model discloses a wind generating set load distributing type computational system, including the main server, the main server links to each other with a plurality of slave servers, and the main server links to each other with collection module, orientation module, communication module respectively simultaneously, the slave server links to each other with alarm module. According to the technical scheme, the program automation is realized in the setting process of the load computing working condition, a set of complete load computing working condition model files meeting IEC or GL specifications is quickly generated according to specific computing conditions, files for dtbladed identification and computation are generated at the same time, the load computing efficiency is improved, the manual operation error rate is reduced, and low-cost and high-efficiency load computing is realized by using a personal single computer or a private cloud with lower cost.

Description

Load distributed computing system of wind generating set

Technical Field

The utility model relates to a wind turbine generator system's load calculation technical field especially relates to a wind turbine generator system load distributing type computing system.

Background

With the continuous progress of the development footsteps of wind farms, more and more wind farms are developed on mountains, hills and sea. In complex terrains such as mountains and hills, the safety of the wind turbine generator is mostly checked by calculating the load of a specific site.

There are data to show that there are two main types of load calculation at present: one method is to arrange computing resources on the cloud for computing, and the method has more computing threads but high arrangement and use cost, and simultaneously causes resource waste when the computing task is light; the other method is to directly calculate on a personal computer, and the method is that a load engineer directly calculates the load on a local computer, and has the advantages of low cost and the disadvantages of limited number of CPUs (central processing units) of the local computer and low calculation speed.

Chinese patent document CN105320785A discloses a full-automatic working condition generation method and device for wind turbine load calculation. The method comprises the following steps: 1) calculating intermediate parameters and wind model parameters; 2) selecting a basic Bladed model file and substituting fixed value parameters in the wind model parameters and the intermediate parameters; 3) generating a series of working condition variable value groups according to variables in the basic Bladed model file; 4) generating new blanked model file data for each working condition variable value group by taking the basic blanked model file as a template; 5) storing according to the appointed path and working condition file name; the device comprises an intermediate parameter and wind model parameter generating module, a model file importing module, a working condition variable value group circulating generating module, a variable searching and modifying module and a working condition file storing module. The technical scheme is difficult to consider load calculation cost and efficiency, and the pretreatment cost is high.

Disclosure of Invention

The utility model discloses mainly solve the technical problem that original technical scheme load computational cost and efficiency are difficult to compromise, a wind generating set load distributing type computing system is provided, it is automatic to calculate the operating mode setting process with the load and realize the procedure, the complete load that accords with IEC or GL standard according to specific calculation condition fast generation calculates the operating mode model file, the file that can supply dtbladed discernment to calculate is generated simultaneously, load computational efficiency has been improved and the manual operation error rate has been reduced, utilize personal computer or the lower private cloud of cost, realize the load calculation of low-cost efficient.

The above technical problem of the present invention can be solved by the following technical solutions: the utility model discloses a main server, main server links to each other with a plurality of slave servers, and main server links to each other with collection module, orientation module, communication module respectively simultaneously, the slave server links to each other with alarm module. According to the condition of the wind turbine generator, boundary conditions of load calculation are input into a preset reference model, data collected by a collection module are automatically input into a main server, the main server is distributed into a plurality of slave servers according to a preset judgment standard to carry out calculation, automatic calculation is achieved, when the slave servers have the conditions of task suspension or task termination and the like, an alarm is given through an alarm module, the collected data, a calculation result and the position information of the wind turbine generator are uploaded to a monitoring management cloud platform through a communication module, and a worker connects the communication module through a terminal or directly accesses the monitoring management cloud platform to check the collected data, the calculation result and the position information of the wind turbine generator.

Preferably, the acquisition module comprises a wind speed sensor, a wind direction sensor, a water flow sensor and a load sensor. The operating mode is divided into limit operating mode and tired operating mode, and wherein limit operating mode includes: the system comprises a normal power generation working condition, a normal power generation + fault working condition, a start-up working condition, a normal shutdown working condition, an emergency shutdown working condition, a shutdown + fault working condition and a maintenance working condition; the fatigue working conditions comprise a normal power generation working condition, a normal power generation + fault working condition, a start-up working condition, a normal stop working condition and a stop working condition. The boundary conditions are used for defining working conditions, and the boundary conditions mainly comprise: wind, including steady state wind, turbulent wind, wind shear; sea conditions, including currents, waves and currents; and controlling, namely controlling normal power generation, monitoring faults, controlling a controller path and a control parameter table path, wherein the fault monitoring comprises fault monitoring and a safety chain loop, and the faults comprise a fault of a variable pitch system, a fault of a generator, a fault of a yaw system and other faults.

Preferably, the positioning module comprises a GPS positioning device and a Beidou positioning device. The accurate positioning of the wind turbine generator is realized, and the accurate detection of each wind turbine generator is ensured.

Preferably, the acousto-optic sensors are respectively connected with the slave servers. When the conditions of task suspension or task termination and the like occur in each slave server, the alarm module gives an alarm, and a worker can control the task to restart through the master server.

Preferably, the communication module is respectively connected with the monitoring management cloud platform and the terminal. The system uploads the collected data, the calculation result and the position information of the wind turbine generator to the monitoring management cloud platform through the communication module, and a worker can check the collected data, the calculation result and the position information of the wind turbine generator by connecting the communication module with a terminal or directly accessing the monitoring management cloud platform.

Preferably, the terminal comprises a PC terminal and a handheld device. The staff can receive the data collection and the calculation result remotely, thereby carrying out corresponding processing.

The utility model has the advantages that: the method has the advantages that the program automation is realized in the process of setting the load calculation working condition, a set of complete load calculation working condition model files meeting IEC or GL standards is quickly generated according to specific calculation conditions, meanwhile, files for dtbladed identification calculation are generated, the load calculation efficiency is improved, the manual operation error rate is reduced, and low-cost and high-efficiency load calculation is realized by using a personal single computer or a private cloud with lower cost.

Drawings

Fig. 1 is a schematic connection structure diagram of the present invention.

In the figure, a main server 1, a secondary server 2, an acquisition module 3, a positioning module 4, a communication module 5, an alarm module 6, a monitoring management cloud platform 7 and a terminal 8 are arranged.

Detailed Description

The technical solution of the present invention is further specifically described below by way of examples and with reference to the accompanying drawings.

Example (b): the load distributed computing system of the wind generating set comprises a main server (1), wherein the main server (1) is connected with a plurality of slave servers (2), the main server (1) is connected with an acquisition module (3), a positioning module (4) and a communication module (5) respectively, the slave servers (2) are connected with an alarm module (6), and the communication module (5) is connected with a monitoring management cloud platform (7) and a terminal (8) respectively. The terminal (7) comprises a PC terminal and a handheld device, and a worker can remotely receive the acquired data and the calculation result so as to perform corresponding processing.

The acquisition module (3) comprises a wind speed sensor, a wind direction sensor, a water flow sensor and a load sensor. The operating mode is divided into limit operating mode and tired operating mode, and wherein limit operating mode includes: the system comprises a normal power generation working condition, a normal power generation + fault working condition, a start-up working condition, a normal shutdown working condition, an emergency shutdown working condition, a shutdown + fault working condition and a maintenance working condition; the fatigue working conditions comprise a normal power generation working condition, a normal power generation + fault working condition, a start-up working condition, a normal stop working condition and a stop working condition. The boundary conditions are used for defining working conditions, and the boundary conditions mainly comprise: wind, including steady state wind, turbulent wind, wind shear; sea conditions, including currents, waves and currents; and controlling, namely controlling normal power generation, monitoring faults, controlling a controller path and a control parameter table path, wherein the fault monitoring comprises fault monitoring and a safety chain loop, and the faults comprise a fault of a variable pitch system, a fault of a generator, a fault of a yaw system and other faults. The wind speed sensor, the wind direction sensor and the water flow sensor are used for collecting wind power and water flow data.

The positioning module (4) comprises a GPS positioning device and a Beidou positioning device and is used for realizing accurate positioning of the wind turbine generator and ensuring accurate detection of each wind turbine generator. The alarm module (6) comprises an acousto-optic sensor which is respectively connected with the slave server (2). When the conditions of task suspension or task termination and the like occur in each slave server, the alarm module gives an alarm, and a worker can control the task to restart through the master server.

When the wind turbine generator system monitoring system works, according to the condition of the wind turbine generator system, boundary conditions of load calculation are input in a preset reference model, data collected by a collection module are automatically input into a main server, the main server is distributed into a plurality of slave servers according to a preset judgment standard to carry out calculation, automatic calculation is achieved, when the slave servers have the conditions of task suspension or task termination and the like, an alarm is given out through an alarm module, collected data, a calculation result and wind turbine generator system position information are uploaded to a monitoring management cloud platform through a communication module, and workers check the collected data, the calculation result and the wind turbine generator system position information through a terminal connection communication module or directly visit the monitoring management cloud platform.

The specific embodiments described herein are merely illustrative of the spirit of the invention. Various modifications, additions and substitutions for the specific embodiments described herein may be made by those skilled in the art without departing from the spirit of the invention or exceeding the scope of the invention as defined in the accompanying claims.

Although the terms master server, slave server, etc. are used more herein, the possibility of using other terms is not excluded. These terms are used merely to more conveniently describe and explain the nature of the present invention; they are to be construed in a manner that is inconsistent with the spirit of the invention.

Claims

1. The load distributed computing system of the wind generating set is characterized by comprising a main server (1), wherein the main server (1) is connected with a plurality of slave servers (2), meanwhile, the main server (1) is respectively connected with an acquisition module (3), a positioning module (4) and a communication module (5), and the slave servers (2) are connected with an alarm module (6).

2. A wind park load distributed computing system according to claim 1, wherein the acquisition module (3) comprises a wind speed sensor, a wind direction sensor, a water flow sensor and a load sensor.

3. A wind park load distributed computing system according to claim 1, wherein the positioning module (4) comprises a GPS positioning device and a beidou positioning device.

4. A wind park load distributed computing system according to claim 1, wherein said alarm module (6) comprises acousto-optic sensors, respectively associated with the slave server (2).

5. A wind power generation set load distributed computing system according to claim 1, wherein said communication module (5) is connected to a monitoring management cloud platform (7) and a terminal (8), respectively.

6. A wind park load distributed computing system according to claim 5, wherein said terminal (8) comprises a PC terminal and a handheld device.