Applying instantaneous SCADA data to artificial intelligence based power curve monitoring and WTG fault forecasting

Ran Bi, Chengke Zhou, Donald M. Hepburn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Power curve (PC) monitoring can be applied to evaluate the wind turbine generator (WTG) power output and detect deviations between the expected and the measured value, often a precursor of unexpected faults. In this research, the instantaneous SCADA data is used to show the fault forecast ability of Artificial Intelligence (AI) based PC monitoring of a pitch regulated WTG. The measured PCs illustrate that the instantaneous data is better than averaged data, widely used in the literature, to present the dynamics of WTG operation. The influence of ambient temperature, generator speed and pitch angle on WTG power output is analyzed using measured data. The analysis illustrates that the generator speed and pitch angle have a significant effect on WTG power generation. The performance of the proposed model option is compared against previously published option using the same data sets collected from a 2 MW Pitch Regulated WTG. The comparison is based on the mean absolute error (MAE), the root mean squared error (RMSE) and the correlation coefficient (R2). The result shows that models considering generator speed and pitch angle performs better with lowest MAE and RMSE and highest R2 values. A case study illustrated that the AI models, using wind speed, generator speed and pitch angle inputs, would have successfully detected a pitch fault due to the slip ring malfunction nearly 5 hours earlier than the existing fault detection mechanisms.

Original languageEnglish
Title of host publication2016 International Conference on Smart Grid and Clean Energy Technologies (ICSGCE)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages176-181
Number of pages6
ISBN (Electronic)9781467389044
ISBN (Print)9781467389037
DOIs
Publication statusPublished - 13 Mar 2017
Event2016 International Conference on Smart Grid and Clean Energy Technologies - Chengdu, China
Duration: 19 Oct 201622 Oct 2016

Publication series

Name2016 International Conference on Smart Grid and Clean Energy Technologies, ICSGCE 2016

Conference

Conference2016 International Conference on Smart Grid and Clean Energy Technologies
Abbreviated titleICSGCE 2016
Country/TerritoryChina
CityChengdu
Period19/10/1622/10/16

Keywords

  • artificial intelligence
  • Condition monitoring
  • instantaneous data
  • power curve
  • wind turbine generator

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Computer Networks and Communications

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