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Wind power variable pitch system fault detection method oriented to complex operation conditions

A technology of pitch control system and operating conditions, applied in the general control system, electrical test/monitoring, control/regulation system, etc., can solve the problem of lower false alarm rate and false alarm rate, lack of theoretical basis for the number of operating conditions, and delay in fault detection Real-time and other issues to achieve the effect of reducing false positive rate and false positive rate and avoiding mutual crossover

Pending Publication Date: 2022-03-25
SHENYANG INST OF ENG
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Problems solved by technology

Among them, the method based on clustering is more reasonable for distributed modeling. However, similar to the method based on conditional judgment, the selection of the contribution of each sub-model in the evaluation process of the distributed detection model will have a greater impact on the detection results, not only delaying fault detection Real-time performance is also a key factor restricting the further reduction of false alarm rate and false negative rate
In addition, the complexity of local modeling based on the division of working conditions depends on the sample size and the number of working conditions, and the determination of the number of working conditions lacks theoretical basis

Method used

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  • Wind power variable pitch system fault detection method oriented to complex operation conditions
  • Wind power variable pitch system fault detection method oriented to complex operation conditions
  • Wind power variable pitch system fault detection method oriented to complex operation conditions

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specific Embodiment

[0081] The realization process of the present invention is illustrated by taking common pitch motor overtemperature faults, abnormal pitch angle faults, and pitch pitch angle asymmetry faults in wind turbine pitch systems as examples. The fault description is shown in Table 1. The SCADA experimental data was collected from Dalian Tuoshan Wind Farm, a Goldwind GW77-1.5MW direct-drive wind turbine, and collected 25,000 sets of operating data from February to March 2014 at intervals of 5 minutes. Draw its wind speed-power scatter diagram according to part of the SCADA data, such as image 3 shown.

[0082] Table 1 Description of pitch system faults

[0083]

[0084]

[0085] In the SCADA system, 15 monitoring variables related to the pitch system are selected for fault detection, as shown in Table 2. Among them, the wind speed, power and generator speed are the key variables to measure the operating state of the wind turbine, the current and temperature of the pitch moto...

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Abstract

The invention belongs to the technical field of wind power generation assembly fault detection, and particularly relates to a wind power variable pitch system fault detection method for complex operation conditions. According to the method, mutual intersection of complex operation working conditions is effectively avoided, the operation state of the specific working conditions is better described, and the false alarm rate and the missing report rate in the fault detection process can be effectively reduced. Comprising the following steps: step 1, cleaning SCADA data of a wind turbine generator; step 2, wind turbine generator variable pitch system association feature selection; step 3, performing off-line modeling by using the normal behavior sample; step 4, determining an early warning threshold value through offline deviation distribution; 5, online evaluation is carried out through similar state difference measurement; and step 6, realizing anomaly identification according to a relationship between an online evaluation result and a threshold value.

Description

technical field [0001] The invention belongs to the technical field of fault detection of wind power generation components, and in particular relates to a fault detection method for a wind power pitch system facing complex operating conditions. Background technique [0002] The development of low-carbon economy, the development and utilization of clean and renewable energy have become the focus of human sustainable development and energy strategy. As a new energy power generation method with mature technology, large-scale development and good commercial development, wind power has become the fastest growing green energy in the world. Frequent failures of key components of wind turbines cause huge economic losses. Fault diagnosis technology analyzes the real-time operating parameters of each component of the wind turbine, grasps the changes in the operating status of the wind turbine, discovers potential failures in time, and avoids major accidents. An effective way to impro...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/024Y04S10/52
Inventor 钱小毅孙天贺叶鹏王宝石李天岳杨宏宇魏靖晓张政斌王子赫邵旸棣
Owner SHENYANG INST OF ENG
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