Measurements and Simulation of a PV Pumping Systems Parameters Using MPPT and PWM Control Strategies

With the continuous decrease of the cost of solar cells, there is an increasing interest and needs in photovoltaic (PV) system applications following standard of living improvements. Water pumping system powered by solar-cell generators are one of the most important applications. The fluctuation of solar energy on one hand, and the necessity to optimise available solar energy on the other, it is useful to develop new efficient and flexible modes to control motors that entrain the pump. A vectorial control of an asynchronous motor fed by a photovoltaic system is proposed. This paper investigates a photovoltaic-electro mechanic chain, composed of a PV generator, DC-AC converter, a vector controlled induction motor and centrifugal pump. The PV generator is forced to operate at its maximum power point by using an appropriate search algorithm integrated in the vector control. The optimization is realized without need to adding a DC-DC converter to the chain. The motor supply is also ensured in all insolation conditions. Simulation results show the effectiveness and feasibility of such an approach.K e y w o r d s:

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“…The mathematical dynamic model of the asynchronous motor is described in [6,20] by the following equations…”

Section: Induction Motor Modelmentioning

confidence: 99%

Vectorial Command of Induction Motor Pumping System Supplied by a Photovoltaic Generator

Makhlouf¹,

Messai²,

Benalla³

2011

Journal of Electrical Engineering

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“…The hybrid algorithm couples the CHC genetic algorithm with the binary search method. The results of the optimizations show that the proposed algorithm is almost two times faster than the pure CHC genetic algorithm and, in separate cases, more reliable in finding the global optimum [5].…”

Section: Introductionmentioning

confidence: 98%

Optimization of operating conditions of photovoltaic systems: A case study

Bayındır

Kabalcı

Bülbül

et al. 2012

2012 International Conference on Renewable Energy Research and Applications (ICRERA)

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Nowadays, there are several difficulties are met in the selection of appropriate conditions, place of use, and purpose of photovoltaic (PV) systems. The reason is that electrical power output of PV system shows a non-linear variation, unlike other applications, depending on the internal resistance of electrical devices (loads) as well as radiation intensity and environmental temperature. Therefore, electrical characteristics of PV panel-load must be evaluated together for correct optimization. In this study, running an electrical device having optimized curve of linear load on a monthly basis of a panel was analyzed. At the same time, surface temperature of the panel, panel inclination angle and value of the load that concerning electrical load impact on power output of PV panels was examined experimentally and theoretically.

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“…Therefore, the tracking control of the maximum power point is a complicated problem. To overcome these problems, many tracking control strategies have been proposed such as perturb and observe [1,2], incremental conductance [3], parasitic capacitance [4], constant voltage [5], reactive power control [6], neural network [7][8][9][10][11][12] and fuzzy logic controller (FLC) [13][14][15][16][17][18][19]. Some applications need constant output voltage with suitable MPPT or constant output current [20,21].…”

Section: Introductionmentioning

confidence: 99%

MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks

Kassem

2012

International Journal of Electrical Power & Energy Systems

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Measurements and Simulation of a PV Pumping Systems Parameters Using MPPT and PWM Control Strategies

Cited by 17 publications

References 0 publications

Vectorial Command of Induction Motor Pumping System Supplied by a Photovoltaic Generator

Vectorial Command of Induction Motor Pumping System Supplied by a Photovoltaic Generator

Optimization of operating conditions of photovoltaic systems: A case study

MPPT control design and performance improvements of a PV generator powered DC motor-pump system based on artificial neural networks

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