An adaptive control for a variable speed wind turbine using RBF neural network
نویسندگان
چکیده
منابع مشابه
Nonlinear Model Identification and Adaptive Control of Variable Speed Wind Turbine Using Recurrent Neural Network
The best configuration for generating electricity energy form a variable-speed wind energy conversion system (WECS) is using double-output induction generator (DOIG). Controlling this system in order to optimum performance on maximum extracting power from wind in each speed were attracted the attention of many researchers. This kind of generators use a rectifier and inverter know as static Kram...
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The control of variable speed wind turbines is a complex problem since they are considered as nonlinear and time varying systems. In general, classical control techniques do not take into consideration the stochastic and dynamical aspect of the wind and they are not very robust. In order to address these weaknesses, neural approaches are proposed: a direct neural model DNM of the wind turbine i...
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Wind energy is currently the fastest-growing renewable source of energy in India; India is a key market for the wind industry, presenting substantial opportunities for both the international and domestic players. In India the research is carried out on wind energy utilization on big ways .There are still many unsolved challenges in expanding wind power, and there are numerous problems of intere...
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The efficiency of the wind power conversions systems can be greatly improved using an appropriate control algorithm. In this work, an adaptive robust control for a doubly feed induction generator drive for variable speed wind power generation is described. In the presented design it is applied the so called vector control theory. The control scheme uses stator flux-oriented control for the roto...
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ژورنال
عنوان ژورنال: MATEC Web of Conferences
سال: 2016
ISSN: 2261-236X
DOI: 10.1051/matecconf/20168309007