# Frontiers in Energy

 Front. Energy    2019, Vol. 13 Issue (4) : 742-756     https://doi.org/10.1007/s11708-017-0462-x
 RESEARCH ARTICLE
Novel power capture optimization based sensorless maximum power point tracking strategy and internal model controller for wind turbines systems driven SCIG
Ali EL YAAKOUBI1(), Kamal ATTARI1, Adel ASSELMAN1, Abdelouahed DJEBLI2
1. Optic and Photonic Team, Faculty of Sciences, Abdelmalek Essaaidi University, Tetouan 93002, Morocco
2. Energetics, Fluid Mechanics and Materials Laboratory, Abdelmalek Essaadi University, Tetouan 93002, Morocco
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 Abstract Under the trends to using renewable energy sources as alternatives to the traditional ones, it is important to contribute to the fast growing development of these sources by using powerful soft computing methods. In this context, this paper introduces a novel structure to optimize and control the energy produced from a variable speed wind turbine which is based on a squirrel cage induction generator (SCIG) and connected to the grid. The optimization strategy of the harvested power from the wind is realized by a maximum power point tracking (MPPT) algorithm based on fuzzy logic, and the control strategy of the generator is implemented by means of an internal model (IM) controller. Three IM controllers are incorporated in the vector control technique, as an alternative to the proportional integral (PI) controller, to implement the proposed optimization strategy. The MPPT in conjunction with the IM controller is proposed as an alternative to the traditional tip speed ratio (TSR) technique, to avoid any disturbance such as wind speed measurement and wind turbine (WT) characteristic uncertainties. Based on the simulation results of a six KW-WECS model in Matlab/Simulink, the presented control system topology is reliable and keeps the system operation around the desired response. Corresponding Authors: Ali EL YAAKOUBI Just Accepted Date: 10 February 2017   Online First Date: 22 March 2017    Issue Date: 26 December 2019
 Cite this article: Ali EL YAAKOUBI,Kamal ATTARI,Adel ASSELMAN, et al. Novel power capture optimization based sensorless maximum power point tracking strategy and internal model controller for wind turbines systems driven SCIG[J]. Front. Energy, 2019, 13(4): 742-756. URL: http://journal.hep.com.cn/fie/EN/10.1007/s11708-017-0462-x http://journal.hep.com.cn/fie/EN/Y2019/V13/I4/742
 Fig.1  Wind energy conversion system Fig.2  Mechanical power versus rotational speed of the WT Fig.3  Maximum power point strategy searching Fig.4  MPPT based on fuzzy logic strategy structure Tab.1  Fuzzy logic rules Fig.5  IM controller structure Fig.6  System control of WECS Tab.2  Parameter of controllers Tab.3  Parameters for (6 kW) WECS Fig.7  Wind step and simulation results Fig.8  Wind speed profile Fig.9  Rotational speed estimated Fig.10  Power coefficient Fig.11  Mechanical power extracted Fig.12  Electrical energy extracted Tab.4  Performance indices Fig.13  Rotational speed obtained by the proposed and the PI controllers
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