Wind generating set monitoring system based on physical component model and real-time data

A technology of wind turbines and real-time data, which is applied to wind turbines, control of wind turbines, and wind power generation, and can solve problems such as inability to achieve fault detection results

Active Publication Date: 2014-09-03
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this automatic diagnosis method is very dependent on the accuracy and completeness of the established feature database, and the engineering of signal processing is also completely dependent on the a

Method used

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  • Wind generating set monitoring system based on physical component model and real-time data
  • Wind generating set monitoring system based on physical component model and real-time data
  • Wind generating set monitoring system based on physical component model and real-time data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0033] like figure 2 As shown, this embodiment includes: a wind condition input module, a control system, a pitch control module, a yaw control module, a blade physics simulation module and a transmission module, wherein: the wind condition input module receives the real-time wind condition information obtained by the power plant, The real-time wind condition information is transmitted to the control system and the blade physical simulation module respectively, the control system sends the yaw system control strategy to the yaw control module, and sends the pitch control strategy to the pitch control module, and the yaw control module generates The nacelle rotation angle and its angular velocity and angular acceleration information are transmitted to the blade physics simulation module, and the pitch control module generates the blade rotation angle, its angular velocity and angular acceleration information and transmitted to the blade physics simulation module, and the blade ...

Embodiment 2

[0047] like Figure 5 , a wind turbine monitoring system based on physical component models and real-time data, including the following steps:

[0048] Establish a physical component model of the wind turbine that complies with the control strategy of the wind turbine and the rated input and output. The model conforms to the structure and function described in Example 1. The model has a high-accuracy simulation function, and can output theoretically the parameters of each component of the wind turbine under normal operating conditions, and automatically draw a table.

[0049] The wind condition information of the power plant is collected through the sensors arranged in the wind power plant, including real-time wind speed and wind direction, and is exported and transmitted to the wind condition input module of the physical component model through the digital monitoring system.

[0050] The real-time wind condition information, including wind speed and wind direction, obtained...

Embodiment 3

[0055] like Figure 6 , the wind turbine monitoring system based on the physical component model and real-time data provides a mechanism detection method for the prediction of wind turbine performance failure, including the following steps:

[0056] Establish a physical component model of the wind turbine under fault conditions that conforms to the control strategy and rated input and output.

[0057] To establish a model in a fault state, it is only necessary to modify the modules or parameters of the previously established physical component model of the wind turbine that conforms to the control strategy of the wind turbine and the rated input and output, such as changing the transmission ratio of the gearbox to simulate the wear state of the gearbox ; Change the calculation formula of the blade force analysis module to simulate the blade loss state and so on.

[0058] The real-time or historical wind condition information, including wind speed and wind direction, is retrie...

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Abstract

The invention relates to the field of engine testing, and provides a wind generating set monitoring system based on a physical component model and real-time data. A wind condition input module receives real-time wind condition information obtained by a power plant, and the real-time wind condition information is respectively transmitted to a control system and a blade physical simulation module. The control system sends a yaw system control strategy to a yaw control module and sends a variable pitch system control strategy to a variable pitch control module, and information of a rotation angle, angular speed and angular acceleration of a cabin is generated by the yaw control module and transmitted to the blade physical simulation module. Information of a rotation angle, angular speed and angular acceleration of a blade is generated by the variable pitch control module and transmitted to the blade physical simulation module. After the blade physical simulation module integrates the obtained information with blade stress and stress toque information, information of target torque, target rotation speed and target angular acceleration of the blade is obtained and transmitted to a transmission module, and the transmission module outputs electric power information. The wind generating set monitoring system provides dual verification for prediction of performance failure of a wind generating set.

Description

technical field [0001] The invention relates to a system in the field of engine testing, in particular to a monitoring system for wind power generators based on physical component models and real-time data. Background technique [0002] According to the World Wind Energy Association (WWEA) in 2010, by the end of 2010, the global wind turbine power generation accounted for 2.5% of the global electricity consumption, reaching 430TWh, which is greater than that of the world's sixth largest economy, the United Kingdom (60 million people). Total annual electricity demand. It is estimated that by 2020, the total installed capacity in the world will exceed 1,500,000MW. As of the end of 2010, my country has become the country with the largest installed capacity of wind energy and the center of the international wind energy industry. The new installed capacity in 2010 is expected to reach 18,928MW, which will exceed 50% of the global annual new installed capacity. In the case of w...

Claims

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Application Information

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IPC IPC(8): F03D7/00
CPCY02E10/723Y02E10/72
Inventor 刘成良汪一波黄亦翔
Owner SHANGHAI JIAO TONG UNIV
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