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Wind driven generator operation state analyzing method based on neural network model

A neural network model and technology of wind power generators, applied in the direction of motor generator testing, etc., can solve difficult problems such as analysis of the operating status of wind power generation equipment, and achieve effective and accurate monitoring and prediction, and accurate decision support.

Active Publication Date: 2013-09-25
BEIJING GUNGYAO ELECTRICITY EQUIP CO LTD
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Problems solved by technology

The operating state analysis method of power generation equipment used in traditional power generation methods such as thermal power generation is difficult to apply to the analysis of the operating state of wind power generation equipment

Method used

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  • Wind driven generator operation state analyzing method based on neural network model

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Embodiment approach

[0021] The implementation condition of the present invention is that the wind farm needs to be equipped with a data acquisition and monitoring control system (SCADA), and the SCADA system has the following functions at least:

[0022] (1) It can collect and store wind turbine sensor data and environmental data. In particular, the data that can be collected and stored by the SCADA system includes wind turbine output power, wind speed, wind direction, temperature and air density data, and provides storage for wind power generation The reading interface of the database of machine output power, wind speed, wind direction, temperature and air density data.

[0023] (2) The operating time of the SCADA system is not less than one year. In particular, its historical database must store the historical data of wind turbine output power, wind speed, wind direction, temperature and air density for not less than one year, and the data collection time interval Not more than 1 minute. When ...

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Abstract

The invention relates to a wind driven generator operation state analyzing method, in particular to a wind driven generator operation stat analyzing method based on a neural network model. The method comprises the steps of reading a database, preprocessing data, modeling a neural network, storing a wind energy converting power characteristic curve model, reading the wind energy converting power characteristic curve model, acquiring data, calculating expected output power, carrying out statistics on the tolerance between the expected output power and actual output power, and judging the operation state of a wind driven generator. The wind driven generator operation stat analyzing method based on the neural network model can effectively and accurately monitor and forecast the operation state of the wind driven generator and namely provides effective and accurate decision support for maintenance of the wind driven generator.

Description

technical field [0001] The invention relates to a method for analyzing the running state of a wind power generator, in particular to a method for analyzing the running state of a wind power generator based on a neural network model. Background technique [0002] With the country's great investment in the wind power energy industry, the scale of wind farms has expanded rapidly, causing the operation and management of wind power companies to face enormous pressure, especially in the management and maintenance of wind power generators. At the same time, wind power generator failures and shutdowns occur from time to time, and wind power companies are worried about sudden accidents. At present, the operation and maintenance methods of wind turbines used have a certain lag, and the technical level of the maintenance and repair personnel of wind turbines on site is generally low, so it is difficult to maintain and repair wind turbines in a timely and effective manner. [0003] Due...

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Application Information

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IPC IPC(8): G01R31/34
Inventor 肖志东李滨鲍晓利黄锦阳朗朔
Owner BEIJING GUNGYAO ELECTRICITY EQUIP CO LTD
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