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

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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.

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Abbreviations

A :

Swept area of the WT

B :

Gearbox ratio

i :

Current

J t :

The equivalent inertia of the WT and the generator

L :

Inductance

p :

Number of pole pair

R :

Rotor WT radius

r :

Resistance

s :

Laplace operator

ν :

Voltage

z :

Delay operator

Φ:

Flux linkage

ω :

Synchronous speed

Ω:

Rotational speed

θ :

Angle position

β :

Pitch angle

λ :

Tip speed ratio

*:

Set point

opt:

Optimal value

a, b and c :

Three phase components

d :

d-axis

DC:

Direct current

e:

Electrical

g:

Generator

gr:

Grid

m:

Mutual

q:

q-axis

r:

Rotor

s:

Stator

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Authors and Affiliations

  1. Optic and Photonic Team, Faculty of Sciences, Abdelmalek Essaaidi University, Tetouan, 93002, Morocco

    Ali El Yaakoubi, Kamal Attari & Adel Asselman

  2. Energetics, Fluid Mechanics and Materials Laboratory, Abdelmalek Essaadi University, Tetouan, 93002, Morocco

    Abdelouahed Djebli

Authors
  1. Ali El Yaakoubi
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  2. Kamal Attari
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  3. Adel Asselman
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  4. Abdelouahed Djebli
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Correspondence to Ali El Yaakoubi.

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El Yaakoubi, A., Attari, K., Asselman, A. et al. Novel power capture optimization based sensorless maximum power point tracking strategy and internal model controller for wind turbines systems driven SCIG. Front. Energy 13, 742–756 (2019). https://doi.org/10.1007/s11708-017-0462-x

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  • DOI: https://doi.org/10.1007/s11708-017-0462-x

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