Effective wind speed estimation and optimized setting strategy for WTGS based on SCADA system

The signal of effective wind speed plays an important role in the process control of Wind Turbine Generation System (WTGS). Due to inaccurate measurement of it, this paper proposes a useful procedure to complete effective wind speed estimation online combining mechanism inference and adaptive data processing algorithm. The historical data in Supervisory Control and Data Acquisition (SCADA) system is used and the Adaptive Neuro-Fuzzy Inference System (ANFIS) is adopted. Moreover, by analyzing the operation of WTGS, a procedure is suggested to establish the aerodynamic characteristic related to steady operation points which can be obtained by K-means clustering from SCADA system. Then, according to the effective wind speed, an optimum setting strategy is formulated. The validation is executed and the simulation results show the availability of the approaches.

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