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Electric Power Systems Research 78 (2008) 1109–1118
A fuzzy controller for maximum energy extraction from variable
speed wind power generation systems
V. Calderaro, V. Galdi, A. olo, P. Siano ∗
Department of Information and Electrical Engineering (DIIIE), University of Salerno, via Ponte don Melillo, 1-84084 Fisciano (Salerno), Italy
Received 25 January 2007; received in revised form 25 June 2007; accepted 19 September 2007
Available online 31 October 2007
Abstract
The wind power production spreading, also aided by the transition from constant to variable speed operation, involves the development of
efficient control systems to improve the effectiveness of wind systems. This paper presents a data-driven design methodology able to generate
a Takagi–Sugeno–Kang (TSK) fuzzy model for maximum energy extraction from variable speed wind turbines. In order to obtain the TSK
model, fuzzy clustering methods for partitioning the input–output space, combined with ic algorithms (GA), and recursive least-squares (LS)
optimization methods for model parameter adaptation are used.
The implemented TSK fuzzy model, as confirmed by some simulation results on a doubly fed induction generator connected to a power system,
exhibits high speed putation, low memory occupancy, fault tolerance and learning capability.
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