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Performance of Control Algorithms in Wind-Based Distributed Generation System with Power Quality Features: A Review

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Microgrid: Operation, Control, Monitoring and Protection

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 625))

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Abstract

This work introduces the performance review regarding control algorithms implemented in wind-based distributed generation system for improving the system’s power quality. The system is comprised of three-phase self-excited induction generator, nonlinear load and voltage source converter. The nonlinear load is directly fed by the generator in off-grid operation. Due to this, the operation of the generator suffers as a whole means the voltage and frequency variation takes place according to variation in the load. Moreover, the power quality problems such as harmonics in the supply current, poor power factor, load unbalance and neutral current at the supply side are prominent. Therefore, the voltage source converter is used along with load to mitigate the power quality problems as well as voltage and frequency fluctuations. For frequency control, the input terminal of the converter uses a battery storage system. The converter operation is dependent on the dynamical performance of the control algorithm used for fundamental current extraction followed by reference current generation. Hence, authors have presented performance review of some control algorithms such as Lorentzian adaptive filter (LAF), momentum LMS, VCO-less PLL, adaptive vectorial filter (AVF) and nonlinear adaptive Volterra filter (NAVF) for reference current generation followed by gate pulses for converter for power quality features of the system. The control algorithms are selected based on their faster dynamics, less steady-state error and stable operation. The simulation and experimental performance of each have been carried out, and comparative analysis is provided.

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Abbreviations

AVF:

Adaptive vectorial filter

DPG:

Distributed power generation

FRRLS:

Fast robust recursive least-squares

IRPT:

Instantaneous reactive power theory

LMS:

Least mean square

NLMS:

Normalized least mean square

PLL:

Phase-locked loop

SRFT:

Synchronous reference frame theory

SAPF:

Shunt active power filter

SEIG:

Self-excited induction generator

SD:

Steepest descent

VSC:

Voltage source converter

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Authors and Affiliations

  1. Department of Electrical Engineering, Sardar Vallabhbhai National Institute of Technology, Surat, 395007, India

    Ashutosh K. Giri, Sabha Raj Arya & Rakesh Maurya

  2. Department of Electrical Engineering, Veer Surendra Sai University of Technology, Burla, Odisha, India

    Papia Ray

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  1. Ashutosh K. Giri
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  2. Sabha Raj Arya
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  3. Rakesh Maurya
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Correspondence to Sabha Raj Arya .

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Editors and Affiliations

  1. Department of Electrical Engineering, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Papia Ray

  2. Department of Electrical Engineering, National Institute of Technology, Raipur, Raipur, Chhattisgarh, India

    Monalisa Biswal

Appendix

Appendix

  • A1. Three-Phase SEIG Rating and Parameters

Ratings: 4-pole, 50 Hz, 230 V and 3.7 kW;

Parameters: Rotor and stator resistance per phase Rr = 0.4816 Ω and Rs = 2.93 Ω, rotor and mutual inductance Lr = 0.002016 H and Lm = 0.0267544 H, constant of friction = 0.0023, Inertia constant (H) = 0.0011 J (Kg m2),

Capacitor for excitation (Ceg) = 4000 VAR;

  • A2. Compensator parameters: Ls = 10 mH; Cdc = 2300 µF, Six IGBT having 1200 V, 50 A.

  • A3. BESS: Lithium-ion type, 400 V, 7.5 AH, SOC (10–90%), rs = 0.05 Ω

  • A4. Nonlinear load in phases ‘a’, ‘b’ and phase ‘c’: Diode bridge ac/dc converter with R = 30 Ω, L = 100 mH in each phase.

Wind turbine simulation parameters [3]: 5 kW, radius of blades r = 1.4 m, CP (λ, β) = 0.87, VW = 12.5 m/s and ρ = 0.48.

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Giri, A.K., Arya, S.R., Maurya, R., Ray, P. (2020). Performance of Control Algorithms in Wind-Based Distributed Generation System with Power Quality Features: A Review. In: Ray, P., Biswal, M. (eds) Microgrid: Operation, Control, Monitoring and Protection. Lecture Notes in Electrical Engineering, vol 625. Springer, Singapore. https://doi.org/10.1007/978-981-15-1781-5_3

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