Bond graph modelling of a photovoltaic system feeding an induction motor-pump
Introduction
The increasing demand of water in rural zones and isolated sites made that a growing interest is done to the utilization of photovoltaic (PV) generator as energy source for several motor-pumps. In fact, the realization of autonomous, reliable pumping systems with a good efficiency, gives a practical and economical solution to the water lack problem in desert regions.
The modelling of photovoltaic system elements is an indispensable and important step that must precede any application of sizing, identification or simulation. Different models developed for PV applications were presented in several papers [7], [15], [17], [5], [10], [16].
The photovoltaic system modelling is complex, it is why we propose the use of bond graph (BG) methodology which permits the decomposition of the system into subsystems exchanging energy, and to represent several physic domains (electricity, mechanical, hydraulic, etc.) with an unified way.
This paper presents the PV system behaviour modelling by bond graph approach. We present the bond graph models of each PV system element as the PV generator, the DC–DC and DC–AC converters, and the asynchronous motor-pump. The association of the above models permits to get the global bond graph model of the studied PV system. A control algorithm for the PV system will be also presented in closed loop.
Section snippets
Bond graph modelling of the photovoltaic system
The schematic block of PV pumping system is given by Fig. 1. For the PV system modelling, we used the bond graph tool which constitutes an intermediate between the physical system and its mathematical models (matrix of transfer, state equations, etc.). Bond graph modelling is often used for systems simulation. Fundamentals as well as more advanced aspects of the bond graph methodology may be found in recently published textbooks [11], [20], [21], [22], [23].
Study of the photovoltaic system in closed loop
The control technique used in this part is a vectorial one. It’s based on field orientation control of the rotor flux of the asynchronous machine. For this control, in reference d–q, the rotor flux is placed in d-axis and the stator current in q-axis.
Contrary to the separate excitation DC motor where the flux is constant and offers a large range of speed variation, the electromagnetic torque of the asynchronous machine is not proportional to flux, which involves oscillations on motor during the
Simulation results of the PV system in closed loop
The speed and flux references are respectively: Ωm0 = 300 rd/s = 2866 rpm, Φr0 = 0.932 Wb. The photovoltaic generator is characterized (at an illumination of 1000 W/m2), by an opened circuit voltage Vc0 = 471 V, an optimal operation point M (378 V; 2,27 A), and IpH = 2.47 A Is = 8.143 × 10−6 A, VT = 37.5 V.
The Asynchronous motor-pump is characterized by:
Numbers of poles: 2,
Nominal voltage: 230/400 V,
Nominal current: 1.6 A,
Nominal power output: 750 W,
Nominal speed: 2866 rpm,
Nominal frequency: 50 Hz,
Total moment of inertia, J:
Conclusion
In this paper we have presented a bond graph model of a photovoltaic structure made up of a photovoltaic generator, a Maximum Power Point Tracking converter supplying an asynchronous motor-pump. The use of the software “20-sim pro 2.3” [19] permit to study the mechanical responses of the motor-pump as well as the behaviour of the photovoltaic generator. The analysis of the closed loop system by a vectorial control, improved considerably the system responses. It became faster, more precise and
Acknowledgements
The authors are grateful to the two anonymous referees for their useful comments and suggestions which have helped to improve the paper.
References (25)
- et al.
Vector control of an induction motor fed by a photovoltaic generator
Applied Energy
(2003) - et al.
Vectorial command of un asynchronous motor fed by a photovoltaic generator
Renewable Energy
(2004) - et al.
Bond graph approach for structural analysis of MIMO linear systems
Journal of the Franklin Institute
(1991) - et al.
Performance optimization of a photovoltaic induction motor pumping system
Renewable Energy
(2004) - B. Allard, H. Morel, S. Ghedira, A. Ammous, Building advanced averaged models of power converters from switched bond...
- R. Andoulsi, Etude d’une classe de systèmes photovoltaïques par une approche bond graph Modélisation, analyse et...
- D.J. Atkinson, P.P. Acarnley, Application of estimation techniques in vector-controlled induction motors drives, in:...
- et al.
Performance optimization of induction motor-pump system using photovoltaic energy source
IEEE Transaction on Industry Applications
(1987) - et al.
Integrated photovoltaic maximum power point tracking converter
IEEE Transaction on Industrial Electronics
(1997) - A.Ghazel, Contrôle vectoriel numérique d’une machine asynchrone alimentée par un onduleur MLI, thèse ENIT, Tunis,...
Integrated photovoltaic maximum power point tracking converter
IEEE Transactions on Industrial Electronics
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