Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission
作者： Dalibor Petković , Žarko Ćojbašić , Vlastimir Nikolić , Shahaboddin Shamshirband , Miss Laiha Mat Kiah
DOI: 10.1016/J.ENERGY.2013.10.094
关键词:
摘要: Abstract In recent years the use of renewable energy including wind has risen dramatically. Because increasing development power production, improvement control turbines using classical or intelligent methods is necessary. To optimize produced in a turbine, speed turbine should vary with speed. Variable-speed operation presents certain advantages over constant-speed operation. this paper, order to maintain maximal output novel controller based on adaptive neuro-fuzzy inference system (ANFIS) designed. improve available an erratic regime, generator equipped continuously variable transmission (CVT) was proposed. model ANFIS regulator adjusts speed, i.e. CVT ratio, for operating at highest efficiency point. The performance proposed confirmed by simulation results. Some outstanding properties new are online implementation capability, structural simplicity and its robustness against any changes parameter variations. Based results, effectiveness controllers verified.
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