RESEARCH ON WTG POWER PERFORMANCE MONITORING METHODS OF REGIONAL WIND POWER GROUP

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 7 , ISSUE 4 (December 2014) > List of articles

RESEARCH ON WTG POWER PERFORMANCE MONITORING METHODS OF REGIONAL WIND POWER GROUP

Zhu Jianhong * / Ma Fei / Gu Juping

Keywords : Regional wind power group, Bin method, Wavelet analysis, Horizontal and longitudinal comparison, Power performance monitor.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 4, Pages 1,717-1,735, DOI: https://doi.org/10.21307/ijssis-2017-729

License : (CC BY-NC-ND 4.0)

Received Date : 17-July-2014 / Accepted: 10-November-2014 / Published Online: 01-December-2014

ARTICLE

ABSTRACT

With growth of the wind power scale and the increasing of urgent requirement on operating life extension of units followed with which, how to monitor regional wind power group automatically and find recession performance of WTG power so as to take measures timely to restore the health condition and reduce power losses has become an important problem to be solved by wind farm operators. Horizontal and longitudinal performance comparison methods of the power characteristics for the same area and model units are proposed in this paper. Different real-time monitoring and analysis methods are used. The core technology of which is using wind speed partitioning technology and Wavelet analysis. Longitudinal power performance monitoring comparison method of single-unit is used as a further preferred aspect scheme of information fusion. Research results are verified by Matlab simulation platform. The study results integrated with the developed centralized monitoring system software, can improve the efficiency of wind farm operation and monitoring in large degree, further ensure the profitability production for wind farm plants.

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