Design and Realization of an Autonomous System Equipped with a Charge/Dischargeregulatorand Digital MPPT Command

Hirech, Kamal; Melhaoui, M.; Yaden, M. F.; Baghaz, E.; Kassmi, Khalil

doi:10.1016/j.egypro.2013.11.051

Cited by 13 publications

(8 citation statements)

References 6 publications

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“…In addition, the shaded or dirty PV panels affect the unshaded or the clean ones. This is also true when Maximum Power Point Tracking algorithm (MPPT) is used for groups of PV panels [3][4][5][6][7][8]. It is proven that shading or dust cause the same effect on the considered PV panel.…”

mentioning

confidence: 95%

Reconfiguration Solution for Shaded PV Panels Using Fuzzy Logic

Tabanjat

Becherif

Hissel

2014

ICREGA’14 - Renewable Energy: Generation and Applications

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This paper applies a new dynamical electrical array reconfiguration strategy on the photovoltaic (PV) panels arrangement based on the connection of all PV panels on two parallel groups to reach the 24 V requested by the considered load and providing a maximum output current by connecting in serial the two groups. If one of the PV panels or more is shaded, the connection of the other in the same group will be automatically modified to maintain the requested 24 V for each PV panel row. This dynamical reconfiguration allows also reducing the lost power, due to the shaded panel, by recovering this power from the reconfiguration of the other panels. As a result, a real time adaptation of switch matrix allows a self-ability to maintain a constant voltage at 24 V and minimum number of PV panels is switched off by isolating the effect of shaded panels. In addition, the proposed solution can also be applied for the dirty panel and identify the shaded, dusty and faulty panel.

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mentioning

confidence: 95%

Reconfiguration Solution for Shaded PV Panels Using Fuzzy Logic

Tabanjat

Becherif

Hissel

2014

ICREGA’14 - Renewable Energy: Generation and Applications

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“…Each one provides, under optimum conditions, a power of 65W at the voltage 14.2V and a current of 4.4 A. [7].…”

Section: A Experimental Proceduresmentioning

confidence: 99%

“… The management and supervision system (MSS), which is based on the use of a microcontroller to perform all the tasks of: optimization of the system functioning by the MPPT control, regulation of charge/discharge process, control of the energy transfer between various blocs, acquisition and display of different quantities (voltages, currents, powers, SoC, performance, illumination, and temperature) on the screen of a PC or LCD and communication to the computer by a serial link [7].…”

Section: A Architectural Pv Systemmentioning

confidence: 99%

“… A DC / DC boost converter dimensioned to operate at a frequency of 10 kHz, a power of about 200 W and a current ranging between 1A and 10A [7].  A management and supervision system (MSS) (Fig.…”

Section: A Experimental Proceduresmentioning

confidence: 99%

“…The various measurements and parameters will be displayed on an LCD and transferred through a serial connection to a computer [7].…”

Section: Introductionmentioning

confidence: 99%

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Control and Management of Energy in a PV System Equipped with Batteries Storage

Hirech

Melhaoui

Malek³

et al. 2016

RESD

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-In this paper the researchers present a work concerning the conception, implementation and testing of a photovoltaic system that is equipped with a new concept of control and management of energy in a PV system with battery storage. The objective is to exploit the maximum of power using Hill climbing improved algorithm that considers optimal electrical characteristics of PV panels regardless of the system perturbation, to manage the energy between blocs of PV system in order to control the charge/discharge process and inject the energy surplus into the grid and also to estimate the state of charge with precision. Moreover, the system guarantees the acquisition and presentation of results on computer, supervision and so on. The results obtained show the robustness of the PV system, good control and protection of batteries under the maximum of energy provided by the PV panels. The state of charge estimation is evaluated by using measured parameters in real time; it shows an improvement of around 5% compared to the conventional technique.

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