Novel power capture optimization based sensorless maximum power point tracking strategy and internal model controller for wind turbines systems driven SCIG

doi:10.1007/s11708-017-0462-x

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.

Keywords power optimization wind energy conversion system maximum power point tracking (MPPT) fuzzy logic internal model (IM) controller

Corresponding Author(s): 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:

https://academic.hep.com.cn/fie/EN/10.1007/s11708-017-0462-x
https://academic.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

$Δ Ω r$	$Δ P r$
$Δ Ω r$	NB	NM	NS	Z	PS	PM	PB
NB	PB	PB	PM	Z	NM	NB	NB
NM	PB	PM	PS	Z	NS	NM	NB
NS	PM	PS	PS	Z	NS	NS	NM
Z	NB	NM	NS	Z	PS	PM	PB
PS	NM	NS	NS	Z	PS	PS	PM
PM	NB	NM	NS	Z	PS	PM	PB
PB	NB	NB	NS	Z	PS	PB	PB

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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