A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller

Meddour, Sami; Rahem, Djamel; Cherif, Ali Yahia; Hachelfi, Walid; Laib, Hichem

doi:10.1016/j.egypro.2019.04.007

Cited by 14 publications

(6 citation statements)

References 26 publications

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“…At this level of control, the MPPT is usually applied. Actually, the perturb and observe (P&O) [12,13], and incremental conductance (INC) [14], approaches are the most commonly used strategies in the literature for MPPT extraction. However, both of them operate poorly in rapidly changing weather conditions.…”

Section: Figure 1 Scheme Of the Proposed Cascaded Controlmentioning

confidence: 99%

Design and Implementation of an Improved Metaheuristic Algorithm for Maximum Power Point Tracking Algorithm Based on a PV Emulator and a Double-Stage Grid-Connected System

Meddour¹,

Rahem²,

Wira³

et al. 2022

EJEE

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This research article proposes the optimization of a grid-connected photovoltaic system based on the PV emulator (PVE), the Boost converter, and a single-phase full-bridge inverter. The main objective is to track and extract the highest amount of power from the PV system working under variable solar irradiation while reducing losses and time response in each stage of the converter. As none, the main flaw of the classical maximum power point tracking algorithm (MPPT) is its performance. The control law design is based on a PI controller in the PVE, a meta heuristic whale optimization algorithm (WOA) in the MPPT, and a reduced switching finite set model predictive control (RS-FS-MPC) for the single-phase full-bridge inverter. The proposed control techniques inherit the property of robustness and successfully deal with the nonlinear behavior of the system. The performance validation and effectiveness of the proposed control techniques is supported by MATLAB/SIMULINK simulations and is also verified experimentally on various systems carried out under varying solar irradiation.

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Section: Figure 1 Scheme Of the Proposed Cascaded Controlmentioning

confidence: 99%

Design and Implementation of an Improved Metaheuristic Algorithm for Maximum Power Point Tracking Algorithm Based on a PV Emulator and a Double-Stage Grid-Connected System

Meddour¹,

Rahem²,

Wira³

et al. 2022

EJEE

Self Cite

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“…For the implementation in real time, predictions in two steps k+1, k+2 will be used in order to compensate the time delay within the measurement chain. Predicted harmonic currents (also called filtered currents) in the three phases have been given in [14,22] as follow:…”

Section: Predictive Current Control Applied To Pafmentioning

confidence: 99%

“…In our study for 2level VSI current control, a simple cost function that minimizes the root MSE between the identified reference harmonic currents and the currents predicted by the PAF is defined in absolute value. Filter currents are considered to be controlled in an actual abc frame given by [14,22]:…”

Section: Predictive Current Control Applied To Pafmentioning

confidence: 99%

A New Control Stratum Applied to Two Adaptation Stages Based on Adaline-Type Neuronal Predictive Control in a Photovoltaic Solar Conversion Chain

Chtouki¹,

Wira²,

Zazi³

et al. 2020

EJEE

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In order to better adapt to the variation in solar irradiation and to improve the efficiency of the photovoltaic generator, i.e. to maximize the power delivered to the grid. Several criteria's for optimizing the efficiency of the photovoltaic system have been applied. Among them, the algorithms for tracking the optimal operating point of the photovoltaic panels that called Maximum Power Point Tracking (MPPT). In this article, a PV generator (GPV) has been connected to the power grid, as a result, direct consequence is in the deterioration of the voltage wave and thus the quality level of the energy supplied to the consumers. To overcome these problems of harmonic pollution, active power filtering is proposed as an efficient solution to improve grid power quality. This paper therefore proposes to examine the characteristics of an association between a photovoltaic generator (PVG) that aims at injecting active power into the electrical grid and a parallel active filter that has the task of eliminating disturbances present in this grid. The theory of the twophase method with Adaline harmonic extraction is applied for the extraction of the reference currents according to the DQ reference frame. Finite set mode predictive current control (FS-MPCC) applied on PAF has been proposed in order to compensate undesirable harmonic, and reactive power resulting from a non-linear load. A Global Maximum Power Point Tracking (GMPPT) algorithm based Adaline method has been suggested for extracting power from PVG. A simulation under Matlab/Simulink of the global system proves the robust performance capability of the suggested Adaline Neuro-Predictive (ANP) control to simultaneously provide harmonic current compensation, power factor correction and solar power energy injection into the grid.

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“…In research work done by Meddour et al. [6] a comparative study of the PSO and P&O methods to extract the maximum power of a PV panel is made. The objective is to overcome the disadvantages of the P&O technique as the convergence speed and the oscillations around the Maximum Power Point (MPP) in no-uniform weather conditions.…”

Section: Introductionmentioning

confidence: 99%

Power optimization of a photovoltaic system with artificial intelligence algorithms over two seasons in tropical area

BA¹,

Ndiaye²,

Ndiaye³

et al. 2023

MethodsX

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A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller

Cited by 14 publications

References 26 publications

Design and Implementation of an Improved Metaheuristic Algorithm for Maximum Power Point Tracking Algorithm Based on a PV Emulator and a Double-Stage Grid-Connected System

Design and Implementation of an Improved Metaheuristic Algorithm for Maximum Power Point Tracking Algorithm Based on a PV Emulator and a Double-Stage Grid-Connected System

A New Control Stratum Applied to Two Adaptation Stages Based on Adaline-Type Neuronal Predictive Control in a Photovoltaic Solar Conversion Chain

Power optimization of a photovoltaic system with artificial intelligence algorithms over two seasons in tropical area

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