DocumentCode :
234187
Title :
Wind farm two-level control for energy management
Author :
Kamal, E. ; El Hajjaji, A. ; Mabwe, A. Mpanda ; Aitouche, A. ; Davarifar, M.
Author_Institution :
Lab. of Modelling, Univ. of Picardie Jules Verne, Amiens, France
fYear :
2014
fDate :
19-22 Oct. 2014
Firstpage :
168
Lastpage :
173
Abstract :
A new hierarchical control methodology for the wind farm is addressed in this paper, which consists of centralized and a decentralized controller level. The designed control strategy is able to regulate the output power of the wind farm to the reference power given by the system operators. The centralized controller level, which uses the If-Then fuzzy rules, optimize the whole wind farm power production by generating for each wind turbine generator individual unit the reference power signals whilst the decentralized controller level, which based on the Takagi-Sugeno fuzzy model, optimize the tracking reference power which given by the centralized controller level and guarantees the stability for wide range of the parameter uncertainties. At the decentralized controller, the stability conditions for the closed loop fuzzy system is using the Lyapunov stability theory and then sufficient design conditions are derived for robust asymptotic tracking in terms of linear matrix inequality. The design method employs the so-called parallel distributed compensation. The validation of the control strategy is done by simulations.
Keywords :
Lyapunov methods; centralised control; closed loop systems; control system synthesis; decentralised control; distributed control; energy management systems; fuzzy control; linear matrix inequalities; turbogenerators; wind power plants; wind turbines; Lyapunov stability theory; Takagi-Sugeno fuzzy model; centralized controller level; closed loop fuzzy system; decentralized controller level; energy management; hierarchical control methodology; if-then fuzzy rule; linear matrix inequality; output power regulation; parallel distributed compensation; parameter uncertainty; reference power tracking; robust asymptotic tracking; wind farm power production; wind farm two-level control; wind turbine generator; Discrete wavelet transforms; Generators; Robustness; Rotors; Uncertain systems; Wind farms; Wind turbines; Fuzzy control; LMI; MPPT; SCIG; wind farm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Renewable Energy Research and Application (ICRERA), 2014 International Conference on
Conference_Location :
Milwaukee, WI
Type :
conf
DOI :
10.1109/ICRERA.2014.7016551
Filename :
7016551
Link To Document :
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