Optimum Setting Strategy for WTGS by Using an Adaptive Neuro-Fuzzy Inference System - Energy and Power Engineering

EPE > Vol.5 No.4, July 2013

Energy and Power Engineering

Volume 5, Issue 4 (July 2013)

ISSN Print: 1949-243X ISSN Online: 1947-3818

Google-based Impact Factor: 0.66 Citations

Optimum Setting Strategy for WTGS by Using an Adaptive Neuro-Fuzzy Inference System ()

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DOI: 10.4236/epe.2013.54B078 4,810 Downloads 6,590 Views Citations

Author(s)

Yang Hu, Jizhen Liu, Zhongwei Lin

Affiliation(s)

State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, P. R. China.

ABSTRACT

With the popularization of wind energy, the further reduction of power generation cost became the critical problem. As to improve the efficiency of control for variable speed Wind Turbine Generation System (WTGS), the data-driven Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to establish a sensorless wind speed estimator. Moreover, based on the Supervisory Control and Data Acquisition (SCADA) System, the optimum setting strategy for the maximum energy capture was proposed for the practical operation process. Finally, the simulation was executed which suggested the effectiveness of the approaches.

KEYWORDS

Wind Energy; Data Processing; Adaptive; Takagi-Sugeno (T-S) Fuzzy; Neuro-Network

Share and Cite:

Y. Hu, J. Liu and Z. Lin, "Optimum Setting Strategy for WTGS by Using an Adaptive Neuro-Fuzzy Inference System," Energy and Power Engineering, Vol. 5 No. 4B, 2013, pp. 404-408. doi: 10.4236/epe.2013.54B078.

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