Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm

Abdelbasset Krama, Laid Zellouma, Boualaga Rabhi, Shady S. Refaat and Mansour Bouzidi
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Abdelbasset Krama: Electrical Engineering Department, LEVRES Laboratory, El -Oued University, El-Oued 39000, Algeria
Laid Zellouma: Electrical Engineering Department, LEVRES Laboratory, El -Oued University, El-Oued 39000, Algeria
Boualaga Rabhi: Electrical Engineering Department, LMSE Laboratory, Biskra University, Biskra 07000, Algeria
Shady S. Refaat: Electrical & Computer Engineering Department, Texas A&M University at Qatar, P.O. Box 23874, Education City, 77874 Doha, Qatar
Mansour Bouzidi: Département de l’Electronique et des Communications, Faculté des Nouvelles Technologies d’Information et Communication, Université Kasdi Merbah, Ouargla 30000, Algeria

Energies, 2018, vol. 11, issue 12, 1-26

Abstract: This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. This strategy uses a discrete model of the system based on the time domain to generate the average voltage vector at each sampling period, with the aim of canceling the errors between the estimated active and reactive power values and their references. Also, it imposes a sinusoidal waveform of the current at the grid side, which allows active power filtering without a harmonic currents identification phase. The latter attempts to reduce the size and cost of the system as well as providing better performance. In addition, it can be implemented in a low-cost control platform due to its simplicity. A double-stage PV system is selected due to its flexibility in control, unlike single-stage strategies. Sliding mode control-based particle swarm optimization (PSO) is used to track the maximum power of the PV system. It offers high accuracy and good robustness. Concerning DC bus voltage of the inverter, the anti-windup PI controller is tuned offline using the particle swarm optimization algorithm to deliver optimal performance in DC bus voltage regulation. The overall system has been designed and validated in an experimental prototype; the obtained results in different phases demonstrate the higher performance and the better efficiency of the proposed system in terms of power quality enhancement and PV power injection.

Keywords: shunt active power filter; photovoltaic; sliding mode; PSO; model predictive control (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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