Estimation and monitoring of grid connected PV system generation

This paper presents a new method to identify the operating performance parameters of a photovoltaic (PV) generator and a grid connected inverter. This method has been applied to the behavior modeling and simulation of the grid connected PV system at the Centre de Developpement des Energies Renouvela...

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Main Authors: S. Bouchakour, A. Tahour, K. Abdeladim, H. Sayah, A. Hadj Arab
Format: Article
Language:English
Published: Renewable Energy Development Center (CDER) 2016-06-01
Series:Revue des Énergies Renouvelables
Subjects:
Online Access:https://revue.cder.dz/index.php/rer/article/view/567
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author S. Bouchakour
A. Tahour
K. Abdeladim
H. Sayah
A. Hadj Arab
author_facet S. Bouchakour
A. Tahour
K. Abdeladim
H. Sayah
A. Hadj Arab
author_sort S. Bouchakour
collection DOAJ
description This paper presents a new method to identify the operating performance parameters of a photovoltaic (PV) generator and a grid connected inverter. This method has been applied to the behavior modeling and simulation of the grid connected PV system at the Centre de Developpement des Energies Renouvelables (CDER) in Algeria. The PV module (PVM) parameters has been identified in static with outdoor measurements of I-V curves in order to model the PV array generation. Using the Linear Reoriented Coordinates Method (LRCM), the prediction of maximum power point (MPP) of the PV array has been performed without using complicate approximations or Taylor series. In order to estimate the ac output power, a PV inverter performance model based on empirical relationship was used. However, an accurate identification of the inverter performance parameters is performed using an optimization algorithm, named Levenberg-Marquardt (LM) algorithm, and a moutput current and voltage. The simulation results were achieved through MATLAB/Simulink environment, for the setting and the testing of the models. The results show a good agreement between the measured and estimated results based on the identified parameters. The integration of the proposed method and the presented model present a simple way to estimate the expected system performance with a high degree of accuracy. This solution allows a development of automatic supervision, energy generation prediction and fault detection procedure.
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spelling doaj.art-b3292448a4514f368799c9cba0628de92022-12-21T18:40:37ZengRenewable Energy Development Center (CDER)Revue des Énergies Renouvelables1112-22422716-82472016-06-01192277290567Estimation and monitoring of grid connected PV system generationS. Bouchakour0A. Tahour1K. Abdeladim2H. Sayah3A. Hadj Arab4Centre de Développement des Energies Renouvelables, CDER B.P. 62, Route de l’Observatoire, Bouzaréah, 16340, Algiers, AlgeriaUniversity of Mascara, 29000, Algeria Centre de Développement des Energies Renouvelables, CDER B.P. 62, Route de l’Observatoire, Bouzaréah, 16340, Algiers, AlgeriaElectrical Department, Djillali Liabes University, Sidi Bel Abbes, 22000, AlgeriaCentre de Développement des Energies Renouvelables, CDER B.P. 62, Route de l’Observatoire, Bouzaréah, 16340, Algiers, AlgeriaThis paper presents a new method to identify the operating performance parameters of a photovoltaic (PV) generator and a grid connected inverter. This method has been applied to the behavior modeling and simulation of the grid connected PV system at the Centre de Developpement des Energies Renouvelables (CDER) in Algeria. The PV module (PVM) parameters has been identified in static with outdoor measurements of I-V curves in order to model the PV array generation. Using the Linear Reoriented Coordinates Method (LRCM), the prediction of maximum power point (MPP) of the PV array has been performed without using complicate approximations or Taylor series. In order to estimate the ac output power, a PV inverter performance model based on empirical relationship was used. However, an accurate identification of the inverter performance parameters is performed using an optimization algorithm, named Levenberg-Marquardt (LM) algorithm, and a moutput current and voltage. The simulation results were achieved through MATLAB/Simulink environment, for the setting and the testing of the models. The results show a good agreement between the measured and estimated results based on the identified parameters. The integration of the proposed method and the presented model present a simple way to estimate the expected system performance with a high degree of accuracy. This solution allows a development of automatic supervision, energy generation prediction and fault detection procedure.https://revue.cder.dz/index.php/rer/article/view/567photovoltaic systemsparameter identificationmodellingsimulation
spellingShingle S. Bouchakour
A. Tahour
K. Abdeladim
H. Sayah
A. Hadj Arab
Estimation and monitoring of grid connected PV system generation
Revue des Énergies Renouvelables
photovoltaic systems
parameter identification
modelling
simulation
title Estimation and monitoring of grid connected PV system generation
title_full Estimation and monitoring of grid connected PV system generation
title_fullStr Estimation and monitoring of grid connected PV system generation
title_full_unstemmed Estimation and monitoring of grid connected PV system generation
title_short Estimation and monitoring of grid connected PV system generation
title_sort estimation and monitoring of grid connected pv system generation
topic photovoltaic systems
parameter identification
modelling
simulation
url https://revue.cder.dz/index.php/rer/article/view/567
work_keys_str_mv AT sbouchakour estimationandmonitoringofgridconnectedpvsystemgeneration
AT atahour estimationandmonitoringofgridconnectedpvsystemgeneration
AT kabdeladim estimationandmonitoringofgridconnectedpvsystemgeneration
AT hsayah estimationandmonitoringofgridconnectedpvsystemgeneration
AT ahadjarab estimationandmonitoringofgridconnectedpvsystemgeneration