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Optimal tuning of PI controller using PSO optimization for indirect power control for DFIG based wind turbine with MPPT

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Abstract

In this paper, an artificial intelligence method particle swarm optimization (PSO) algorithm is presented for determining the optimal PI controller parameters for the indirect control active and reactive power of doubly fed induction generator (DFIG) to ensure a maximum power point tracking of a wind energy conversion system. A digital simulation is used in conjunction with the PSO algorithm to determine the optimum parameters of the PI controller. Integral time absolute error, integral absolute error and integral square error performance indices are considered to satisfy the required criteria in output active and reactive power of a DFIG. From the simulation results it is observed that the PI controller designed with PSO yields better results when compared to the traditional method in terms of performance index.

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Authors and Affiliations

  1. Department of Electrical Engineering, Faculty of Sciences and Technology, University of El Oued, P.O. Box 789, El Oued, Algeria

    Youcef Bekakra & Djilani Ben Attous

Authors
  1. Youcef Bekakra
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  2. Djilani Ben Attous
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Corresponding author

Correspondence to Djilani Ben Attous.

Appendix

Appendix

1.1 Appendix A: System parameters

Rated values: 4 kW, 220/380 V, 15/8.6 A.

Rated parameters: R s  = 1.2 Ω, R r  = 1.8 Ω, L s  = 0.1554 H, L r  = 0. 1568 H, M = 0.15 H, p = 2.

Wind turbine parameters are: R(blade radius) = 3 m, G (Gearbox) = 5.4.

Air density: ρ = 1.22 kg/m3.

1.2 Appendix B: Nomenclature

v :

Wind speed

ρ :

Air density

R :

Blade radius

P m :

Mechanical power of wind speed

C p :

Power coefficient

S w :

Swept area

λ :

Tip speed ratio

Ω t :

Angular speed of the turbine

C e :

Electromagnetic torque

C r :

Load torque

J :

Moment of inertia

β :

Bitch angle

V sd,q :

Stator d-q frame voltage

V rd,q :

Rotor d-q frame voltage

i sd,q :

Stator d-q frame current

i rd,q :

Rotor d-q frame current

ϕsd,q :

Stator d-q frame flux

ϕrd,q :

Rotor d-q frame flux

R s , R r :

Stator and rotor resistance

L s , L s :

Stator and rotor inductance

L s :

Mutual inductance

σ :

Leakage factor

p :

Number of pole pairs

T s , T r :

Statoric and rotoric time-constant

ω s , ω :

Stator and rotor d-q reference axes speed

g :

Slip coefficient

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Bekakra, Y., Attous, D.B. Optimal tuning of PI controller using PSO optimization for indirect power control for DFIG based wind turbine with MPPT. Int J Syst Assur Eng Manag 5, 219–229 (2014). https://doi.org/10.1007/s13198-013-0150-0

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  • DOI: https://doi.org/10.1007/s13198-013-0150-0

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