Method for health early warning of wind turbine generator system

A wind turbine, healthy technology, applied in the direction of computer components, instruments, biological neural network models, etc., can solve problems such as the difficulty of quantitative evaluation of the performance of the whole unit, the harsh operating condition of the working environment of the wind turbine, etc., to reduce learning time, practical Strong performance and improved prediction accuracy

CN109118384AInactive Publication Date: 2019-01-01湖南优利泰克自动化系统有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-01-01
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to the field of new energy wind power generation system, in particular to a wind turbine health warning method, comprising the following steps: (1) collection of wind farm monitoring data: collecting and storing the monitoring data under the normal operation state of the wind farm; (2) selection and determination of the characteristic parameters related to the output power ofthe wind turbine; (3) establishment of wind turbine power forecasting model; (4) construction of standard residual set of health status; (5) acquisition of real-time residual set; (6) wind turbine health assessment and early warning. The invention converts the selected generator output power performance parameter into an appropriate distance measurement, and reflects the health state of the comprehensive generating capacity of the unit at the time point. The method can quantitatively evaluate the deterioration of the generating capacity of the unit under the generating operation condition, and has strong practicability.
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Description

technical field

[0001] The invention relates to the field of new energy wind power generation systems, in particular to a health warning method for a wind power unit. Background technique

[0002] With the large-scale application of wind power in the power grid system, the intelligent operation and maintenance technology of wind farms has received extensive attention. The high maintenance costs caused by the failure of wind turbines directly affect the economic benefits of wind farm owners. At the same time, long-term shutdowns will also have an impact on the operation and scheduling of the entire power grid system. Early warning is of great significance to the overall operation of the wind farm.

[0003] Existing systems still lack in-depth mining and analysis of historical data. They only care about the "current" operating status of wind turbines, and cannot perform early diagnosis or prediction of operating status for turbine failures. This traditional method of using s...

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Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with the accompanying drawings. The description in this part is only exemplary and explanatory, and should not have any limiting effect on the protection scope of the present invention. In addition, those skilled in the art can make corresponding combinations of features in the embodiments in this document and in different embodiments according to the descriptions in this document.

[0042] Embodiments of the present invention are as follows, with reference to figure 1 , a wind turbine health early warning method, comprising the steps of:

[0043] (1) Acquisition of wind farm monitoring data: collect and store monitoring data under normal operating conditions of the wind farm;

[0044] (2) The selection and determination of the characteristic parameters related to the output power of the wind turbine;

[0045] (3) Establishment of wind turbine power prediction model: select the characteristic param...