RESEARCH ARTICLE

Modeling and control of photovoltaic energy conversion connected to the grid

  • Rebei NAJET ,
  • Ben Ghanem BELGACEM ,
  • Hasnaoui OTHMAN
Expand
  • Unit of Research (RME), INSAT, Tunisia; Centre Urbain Nord, BP 676, 1080 Tunis Cedex, Tunisia

Received date: 13 Jun 2011

Accepted date: 02 Sep 2011

Published date: 05 Mar 2012

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

This paper presents modeling and control of a photovoltaic generator (PVG) connected to the grid. The parameters of the PVG have been identified in previous work (series and parallel resistance, reverse saturation current and thermal voltage) using Newton-Raphston and the gradient algorithm. The electrical energy from a PVG is transferred to the grid via two static converters (DC/DC and DC/AC). The objective of the proposed control strategy is to maximize energy captured from the PVG. The adapted control law for extracting maximum power from the PVG is based on the incremental conductance algorithm. The developed algorithm has the capability of searching the maximum photovoltaic power under variable irradiation and temperature. To control the DC/AC inverter, an intelligent system based on two structures is constructed: a current source control structure and a voltage source control structure. The system has been validated by numerical simulation using data obtained from the PVG installed in the laboratory research (INSAT, Tunisia).

Cite this article

Rebei NAJET , Ben Ghanem BELGACEM , Hasnaoui OTHMAN . Modeling and control of photovoltaic energy conversion connected to the grid[J]. Frontiers in Energy, 2012 , 6(1) : 35 -46 . DOI: 10.1007/s11708-012-0169-y

1
International Electrotechnical Commission. Characteristics of the Utility Interface for Photovoltaic (PV) Systems. Report of IEC 61727, 2002

2
Blaabjerg F, Chen Z, Kjaer S. Power electronics as efficient interface in dispersed power generation systems. IEEE Transactions on Power Electronics, 2004, 19(5): 1184–1194

DOI

3
Najet R, Belgacem B G, Hasnaoui O, Rachid D. Identification of parameters of a PV module from I-V characteristics tacken under different solar radiation. In: 11th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering. Monastir, Tunisia, 2010

4
Masoum M A S, Dehbonei H, Fuchs E F. Theoretical and experimental analysis of photovoltaic systems with voltage and current-based maximum power-point tracking. IEEE Transactions on Energy Conversion, 2002, 17(4): 514–522

DOI

5
Kim I S, Kim M B, Youn M J. New maximum power point tracker using sliding mode observer for estimation of solar array current in the grid connected photovoltaic system. IEEE Transactions on Industrial Electronics, 2006, 53(4): 1027–1035

DOI

6
Hasnaoui O, Salem I, Mimounu M F, Dhifaoui R. Modelling and Control of a Variable Speed Wind Energy Conversion Turbine driven Synchronous Generator Connected to the Grid. In: Proceedings of the 6th WSEAS International Conference on Robotics, Control and Manufacturing Technology, Stevens Point, USA: World Scientific and Engineering Academy and Society (WSEAS), 2006

7
Cecati C, Dell'Aquila A, Liserre M. A novel three-phase single-stage distributed power inverter. IEEE Transactions on Power Electronics, 2004, 19(5): 1226–1233

DOI

8
Kim I S. Robust maximum power point tracker using sliding mode controller for three phase grid connected photovoltaic system. Solar Energy, 2007, 81(3): 405–414

DOI

9
Carletti R L, Lopes C G, Barbosa P G. Active & reactive power control scheme for a grid-connected photovoltaic generation system based on VSI with selective harmonic eliminations. In: 8th Power Electronics Brazilian Conference (COBEP). Recife, Brazil, 2005, 129–134

10
Cavalcanti M C, Azevedo G M S, Oliveira K C, Amaral B A, Neves F A S, Lins Z D. A grid connected photovoltaic generation system with harmonic and reactive power compensation. In: 8th Power Electronics Brazilian Conference (COBEP). Recife, Brazil, 2005, 135–140

11
Najet R, Belgacem B G, Hasnaoui O. Control of a PV energy conversion connected to the grid. In: 6th International Conference on Electrical Systems and Automatic Control (JTEA’2010). Hammamet, Tunisia, 2010

12
Azeb M. A new maximum power point tracking for photovoltaic systems. World Academy of Science. Engineering and Technology, 2004, 44: 571–574

13
Villalva M G, Gazoli J R, Filho E R. Comprehensive approach to modelling and simulation of photovoltaic arrays. IEEE Transactions on Power Electronics, 2009, 24(5): 1198–1208

DOI

14
Garrigós A, Blanes J M, Carrasco J A, Ejea J B. Real time estimation of photovoltaic modules characteristics and its application to maximum power point operation. Renewable Energy, 2007, 32(6): 1059–1076

DOI

15
de Blas M A, Torres J L, Prieto E, Garcı́a A. Selecting a suitable model for characterizing photovoltaic devices. Renewable Energy, 2002, 25(3): 371–380

DOI

16
Dorofte C, Borupl U, Blaabjerg F. A combined two method MPPT control scheme for grid-connected photovoltaic systems. In: Proceedings of EPE 2005. Dresden, Germany: EPE Association, 2005

17
Jiang J A, Huang T L, Hsiao Y T, Chen C H. Maximum power tracking for photovoltaic power systems. Tamkang Journal of Science and Engineering, 2005, 8(2): 147–153

18
Hiyama T, Kouzuma S, Imakubo T. Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control. IEEE Transactions on Energy Conversion, 1995, 10(2): 360–367

DOI

19
Kim I S. Robust maximum power point tracker using sliding mode controller for the three phase grid connected photovoltaic system. Solar Energy, 2007, 81(3): 405–414

DOI

20
Wang L, Lin Y H. Dynamic stability analysis of a photovoltaic array connected to a large utility grid. In: Proceedings of 2000 IEEE Power Engineering Society Winter Meeting. Singapore, 2000, 476–480

21
Hwang I H, Ahn K S, Lim H C, Kim S S. Design, development and performance of a 50 kW grid connected PV system with three phase current-controlled inverter. In: Photovoltaic Specialists Conference, Conference Record of the 28th IEEE. Anchorage, USA, 2000, 1664–1667

22
Hamouda M A, Saïdi M, Louchene A, Hamouda C, Malek A. Etude et réalisation d’un système intelligent d’alimentation en énergie électrique d’une habitation en milieu urbain avec injection dans le réseau. Revue des Energies Renouvelables, 2011, 14(2): 187–202

Outlines

/