Implementation of photovoltaic water pumping system with MPPT controls
Received date: 26 Aug 2014
Accepted date: 16 Dec 2014
Published date: 29 May 2015
Copyright
To increase the output efficiency of a photovoltaic (PV) system, it is important to apply an efficient maximum power point tracking (MPPT) technique. This paper describes the analysis, the design and the experimental implementation of the tracking methods for a stand-alone PV system, using two approaches. The first one is the constant voltage (CV) MPPT method based on the optimum voltage, which was deduced experimentally, and considered as a reference value to extract the optimum power. The second one is the increment conductance (Inc-Cond) MPPT method based on the calculation of the power derivative extracted by the installation. The output controller can adjust the duty ratio to the optimum value. This optimum duty ratio is the input of a DC/DC boost converter which feeds a set of Moto-pump via a DC/AC inverter. This paper presents the details of the two approaches implemented, based on the system performance characteristics. Contributions are made in several aspects of the system, including converter design, system simulation, controller programming, and experimental setup. The MPPT control algorithms implemented extract the maximum power point (MPP), with satisfactory performance and without steady-state oscillation. MATLAB/Simulink and dSpace DS1104 are used to conduct studies and implement algorithms. The two proposed methods have been validated by implementing the performance of the PV pumping systems installed on the roof of the research laboratory in INSAT Tunisia. Experimental results verify the feasibility and the improved functionality of the system.
Najet REBEI , Ali HMIDET , Rabiaa GAMMOUDI , Othman HASNAOUI . Implementation of photovoltaic water pumping system with MPPT controls[J]. Frontiers in Energy, 2015 , 9(2) : 187 -198 . DOI: 10.1007/s11708-015-0359-5
| 1 |
Bose B K. Global warming: energy, environmental pollution and the impact of power electronics. IEEE Industrial Electronics Magazine, 2010, 4(1): 6-17
|
| 2 |
Yousif C I. Recent developments of applying solar photovoltaic technologies in Malta. In: Proceedings of the Enemalta 25th Anniversary Conference on Energy Efficiency. Valetta, Malta, 2002
|
| 3 |
Azzouzi M. Comparison between MPPT P&O and MPPT fuzzy controls in optimizing the photovoltaic generator. International Journal of Advanced Computer Science and Applications, 2012, 3(12): 57-62
|
| 4 |
Omole A. Analysis, modeling and simulation of optimal power tracking of multiple-modules of paralleled solar cell systems. Dissertation for the Master’s Degree. Tallahassee: The Florida State University, 2006
|
| 5 |
Vaigundamoorthi M, Ramesh R. Experimental investigation of chaos in input regulated solar PV powered cuk converter. International Journal of Computer Applications (0975-8887), 2012, 43(10): 11-16
|
| 6 |
Rebei N, Hmidet A, Gammoudi R, Hasnaoui O. Experimental implementation techniques of P&O MPPT algorithm for PV pumping system. In: The 11th International Multi-conference on Systems, Signals & Devices (SSD’2014). Barcelona, Spain, 2014, 1-6
|
| 7 |
Otieno C A, Nyakoe G N, Wekesa C W. A neural fuzzy based maximum power point tracker for a photovoltaic system. In: IEEE AFRICON’2009. Nairobi, Kenya, 2009, 1-6
|
| 8 |
Knopf H. Analysis, simulation and evaluation of maximum power point tracking (MPPT) methods for a solar powered vehicle. Dissertation for the Doctoral Degree. Portland: Portland State University, 1999
|
| 9 |
Najet R, Belgacem B G, Othman H. Modeling and control of photovoltaic energy conversion connected to the grid. Frontiers of Energy and Power Engineering in China, 2012, 6(1): 35-46
|
| 10 |
Salameh Z M, Dagher F, Lynch W A. Step-down maximum power point tracker for photovoltaic systems. Solar Energy, 1991, 46(5): 279-282
|
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|
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