MPPT Controller for PV Array under Partially Shaded Condition

The change observed in new habits and traditions of human beings has significantly influenced the way of their current life especially in their needs for electrical energy.This has consequently increased the demand for energy, which has forced the researchers and the industrials to focus their efforts in the development of electricity production systems based on renewable energies, such as photovoltaic (PV), thermal, hydraulic, etc. In the case of the photovoltaic installations, the random change in climatic conditions is considered as a challenge for the engineers in the field. Moreover, the phenomenon of partial shading prompts scientists to suggest practical solutions to overcome it while ensuring the desired performance of the installation. The Maximum Power Point Tracking technique is considered to improve the dynamic performance of the photovoltaic system. Our contribution deals the research of a point of maximum power for a photovoltaic system, under conditions of partial shade using particle swarm optimization algorithm (PSO). The simulation of this structure under the Matlab/ Simulink environment shows that the system ensures better performance and good efficiency.

Section: Modelizationmentioning

confidence: 99%

PSO Control under Partial Shading Conditions

Lakhdara

Bahi

Moussaoui

2020

“…The MPPT control (Maximum Power Point Tracking) is a functional organ of the PV system and makes it possible to track the optimal operating point of the PV generator which depends on the metrological conditions and the variation of the load [7], [8], [9]. Its regulation principle is based on the automatic variation of the duty cycle D at the appropriate value so as to continuously maximize the power at the output of the PV panel, whatever the weather instabilities or sudden variations in loads that can occur at any time.…”

Section: Ii3 Mppt Controlmentioning

confidence: 99%

Modelling and Control of Photovoltaic System using the incremental conductance method for maximum power point tracking

Maatallah

Berbaoui²

2019

This paper presents the modeling and simulation of the electrical operation of a photovoltaic (PV) system. A DC-DC boost converter was chosen for the regulation of the output voltage at the peak power point while also providing a constant voltage. Maximum Power Point Tracker (MPPT) control that allows extraction of maximum available power from the photovoltaic (PV) panel has been included. The maximum efficiency is achieved when PV works at its maximum power point which depends on insolation and temperature. Since the insolation and temperature always change with time, a PV system which able to track the maximum power point needs to be developed to produce more energy. This research was aimed to explore the performance of a maximum power point tracking system which implements Incremental Conductance (IC) method. The IC algorithm was designed to control the duty cycle of Boost converter and to ensure the MPPT control work at its maximum efficiency. The simulation results obtained with Matlab / Simulink show the instantaneous oscillation of the operating point of the photovoltaic module around the MPP independently to weather changes, the proper functioning of the converter which provides a voltage at its output greater than that supplied by the PV generator, (a yield of the order of 90%) and the low power losses supplied by this module (less than 10%) allowed to conclude that the PV system simulated during this work was working properly and was satisfactory

“…Measuring stations are rare in all countries; other running costs were incurred through monitoring and maintenance photovoltaic solar station. From this we use several models of solar radiation built in literature to estimate different components of solar radiation [3][4][5][6][7][8][9][10][11][12][13]. These models are constructed in the form of correlation.…”

Section: Introductionmentioning

confidence: 99%

Forecasting of Solar Radiation using an Empirical Model

Benatiallah¹,

Bouchouicha²,

Benatiallah³

et al. 2019

Global demand for energy is increasing rapidly and natural energy resources such as oil, gas and uranium are declining due to the widespread diffusion and development of the industry in recent years. To cover energy needs, research is being conducted on renewable energy. One of the renewable energies that can meet the world's demand so far is solar energy, which is free and inexhaustible in most parts of the world, and it has become an economic source. In this article we will make a forecast of the empirical Campbell model which will allow us to estimate the daily global irradiation on a horizontal plane and to compare it with the results measured at the Adrar site. The results show that the mean absolute percentage error (MAPE) less than 7%, the mean bias error does not exceed 3% in absolute value, relative RMSE does not exceed 7% and the correlation coefficient greater than 0.99 for the annual global radiation. It was concluded that this model could be used to predict the global solar radiation for Adrar site and for other sites with similar climatic conditions.