Design, realization and optimization of a photovoltaic system equipped with analog maximum power point tracking (MPPT) command and detection circuit of the dysfunction and convergence the system (CDCS)

Mrabti, T.

doi:10.5897/ijps11.365

Cited by 11 publications

(14 citation statements)

References 13 publications

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“… Digital MPPT controller allows the operating point of the PV panels to converge instantly to the maximum power point (MPP) [2,4].  The system of the charge/discharge control leads acid batteries.…”

Section: Synoptic Diagram Of the Systemmentioning

confidence: 99%

“…Concerning PV systems, the difficulties are the optimization of the power provided by PV panels, its transfer to the load (in our case Battery), good control of charge/discharge lead acid batteries and solar tracking PV panels [2,3]. The discrete blocks of regulation and control suggested are not reliable and induce power losses provided by PV panels [2][3][4], divergence of PV system [2][3][4], poor control of the charge/discharge batteries [5] and the collecting of illumination [6,7]. In the majority of PV systems, the major problem is the loss of power supplied by the PV panels because of inaccurate desired maximum power point (MPP) [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…Duty cycle PIC Programmable Interface Controller V 1 Terminal voltage of the LDR sensor 1 V 2 Terminal voltage of the LDR sensor 2 V 3 Terminal voltage of the LDR sensor 3 V 4 Terminal voltage of the LDR sensor 4…”

mentioning

confidence: 99%

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Photovoltaic System Equipped with Digital Command Control and Acquisition

et al. 2013

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In this paper, we present results concerning the design, the realization and the characterization of a photovoltaic system (PV), equipped with a digital controls: Power Point Tracking (MPPT), charge/discharge lead acid batteries, sun tracker and supervision. These different functions are performed with a microcontroller that has capabilities and functions to the reliability of PV systems (signal generation Pulses Width Modulation (PWM), speed etc.). Concerning the MPPT control operation, we improved the accuracy and reliability of research by improving the search algorithm “Hill Climbing” taking into account the optimal operation of PV panels depending on weather conditions (temperature and light).The experiment of each block shows that the MPPT control converges instantly the operating point of the PV panels around the maximum power point, independently of sudden changes of the illumination or the load. The control blocks charge/discharge battery and sun tracking show good control of charge/discharge lead acid batteries and the need of sun tracker to increase the power supplied by the PV panel. By using the improved MPPT control, loss of power supplied by the PV panels are very low (below 5%)

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Section: Synoptic Diagram Of the Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Photovoltaic System Equipped with Digital Command Control and Acquisition

et al. 2013

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“…These two issues require high performance PV systems with a very high efficiency. The classic PV systems (one or more PV panels with a single stage of adaptation provided with the MPPT command [1][2][3][4]) have a satisfactory efficiency; however, searching the maximum power point is more complex and requires a broader search to avoid operation around a false maximum power point (MPP). This could occur when there is an inhomogeneous sunlight or a dysfunction of the panels [5].…”

Section: Introductionmentioning

confidence: 99%

Design and Realization of a Discretized Photovoltaic System

Baghaz¹,

Melhaoui²,

Kassmi³

2014

ujeee

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In this paper, we propose an analysis of the structure and functioning in the Pspice simulation and experiment of a discretized photovoltaic (PV) system. This system is formed by two DC/DC Boost converter connected in series. Its role is to transfer electrical energy from two PV generators through two adaptation stages (upper and lower stages). We proposed a circuit control of the power switch of the DC/DC converter, specifically, the upper stage. The results show a good agreement between simulation and experience of electrical values (voltage, current, power) of each block of the PV system. The good performance of each stage (> 90%) and the complete PV system show that this architecture can provide an innovative solution in terms of reliability and performance improvement chain PV conversion.

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“…Currently, it is necessary to make an energy analysis for the buildings construction of different economic sectors through the professional application of technology by engineers and architects that design energy-efficient buildings. After finishing the design and construction of the building, electrical consumption is decided mainly by its control, maintenance and number of occupants; in order to achieve functional and satisfactory environments in intelligent buildings, the overall reduction in electrical consumption through control systems is required (Mrabti et al, 2011;Young-Sub and Kang-Soo, 2007). This improves the energy efficiency of electrical and control devices as well as the estimated algorithms of electric power consumption.…”

Section: Introductionmentioning

confidence: 99%

Estimated electric power consumption by means of artificial neural networks and autoregressive models with exogenous input methods

Rojas-Renteria¹,

Luna-Rubio²,

Gonzalez-Perez³

et al. 2013

Int. J. Phys. Sci.

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The growth electric energy demand in the industrial and commercial sectors and in public and private buildings represents a problem to estimate electrical consumption in these sectors in order to avoid fines imposed by the respective companies supplying electricity. This study presents artificial neural networks (ANN) and autoregressive models with exogenous input (ARX) models to calculate and to predict the electrical consumption for public sector using heuristic procedures. This system allows estimating the electric power consumption of the next few months ahead, and therefore, a better management of electric energy. The model validation is performed by comparing the results with a nonlinear regression model, ANN and autoregressive models with exogenous input models and the real data with analysis of variance (ANOVA). The ANN models results are estimate confidence intervals of 95%. The variables used as inputs to the neural model estimated are temperature, relative humidity, power consumption and time (day and hour). The algorithm used to estimate is Levenberg-Marquardt.

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Design, realization and optimization of a photovoltaic system equipped with analog maximum power point tracking (MPPT) command and detection circuit of the dysfunction and convergence the system (CDCS)

Cited by 11 publications

References 13 publications

Photovoltaic System Equipped with Digital Command Control and Acquisition

Photovoltaic System Equipped with Digital Command Control and Acquisition

Design and Realization of a Discretized Photovoltaic System

Estimated electric power consumption by means of artificial neural networks and autoregressive models with exogenous input methods

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