Method for compressing data of status monitoring system of wind turbine generator system

A wind power generation unit and state monitoring technology, which is applied in the control of wind turbines, wind turbines, wind power generation, etc., can solve the problems of low storage query efficiency, poor state monitoring effect, and occupation of monitoring equipment data analysis resources, etc.

A wind power generation unit and state monitoring technology, which is applied in the control of wind turbines, wind turbines, wind power generation, etc., can solve the problems of low storage query efficiency, poor state monitoring effect, and occupation of monitoring equipment data analysis resources, etc.

CN103899482AInactive Publication Date: 2014-07-02姜炳芳
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  • Method for compressing data of status monitoring system of wind turbine generator system

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Embodiment Construction

[0019] A method for compressing the data of the status monitoring system of wind power generating units proposed by the present invention can be realized by integrating a data acquisition module, a data processing module, a logic analysis module and a monitoring information local storage module based on a PLC platform or an embedded development platform.

[0020] In the step S1 of wind power state monitoring data collection, the monitoring state information collection can be realized by PLC or embedded data collection board.

[0021] In the step S2 of identifying the operating conditions of the wind turbine, the method for identifying the operating conditions of the wind turbine can identify the operating conditions based on the average wind speed information or the rotor speed information of the wind turbine.

[0022] In step S3 wind power state monitoring data screening, the wind power state monitoring data screening is mainly to eliminate false positive data that may be gene...

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Abstract

The invention provides a method for compressing data of a status monitoring system of a wind turbine generator system. Strong features are extracted in the mode that mathematical modeling is conducted on the monitoring data locally in the wind turbine generator system, and data compression and recovery are conducted according to a high compression ratio. The method comprises the following steps of collection of the wind electricity status monitoring data, identification of operating conditions of the wind turbine generator system, filtration of the wind electricity status monitoring data, local collating of monitoring data information, wind electricity status storage mode selection, identification and matching of intelligent modeling structures, estimation of parameters of the intelligent modeling structures, local primary processing of the monitoring data and upper monitoring terminal secondary processing. By means of the method, mass data on-line transmission and long-term continuous monitoring storage are achieved.

Description

technical field [0001] The invention belongs to the technical field of wind power generation, in particular to the technical field of data compression for a state monitoring system of a wind power generating set for data modeling. Background technique [0002] In the existing monitoring methods of wind power generation status, the status monitoring system of wind power generating units needs to monitor the status information of all units in the wind farm, and the amount of monitoring is huge. Therefore, if you want to reflect the state changes of wind power generation units through continuous state monitoring, you need to store a large amount of long-term monitoring data, which requires extremely high memory storage capacity, and the efficiency of storage and query is low, especially when it is necessary to monitor long-term wind power equipment state changes. During the analysis, massive data needs to be analyzed intensively, which greatly occupies the data analysis resourc...

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Application Information

Patent Timeline
02 Jul 2014
Publication
CN103899482A
IPC
F03D7/00
CPC
Y02E10/723; Y02E10/72
Inventors
姜炳芳