Implementation of photovoltaic water pumping system with MPPT controls

doi:10.1007/s11708-015-0359-5

Front. Energy

2015, Vol. 9

Issue (2) : 187-198 https://doi.org/10.1007/s11708-015-0359-5

RESEARCH ARTICLE

Implementation of photovoltaic water pumping system with MPPT controls

Najet REBEI(

),Ali HMIDET,Rabiaa GAMMOUDI,Othman HASNAOUI

Unit of Research (ERCO), National Institute of Applied Sciences of Tunisia, North Urban Center, University of Carthage, 1080 Tunis Cedex, Tunisia

Download: PDF(2398 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

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.

Keywords photovoltaic generator (PVG) maximum power point tracking (MPPT) boost DC/DC converter DC/AC inverter moto-pump

Corresponding Author(s): Najet REBEI

Just Accepted Date: 08 April 2015 Issue Date: 29 May 2015

Cite this article:

Najet REBEI,Ali HMIDET,Rabiaa GAMMOUDI, et al. Implementation of photovoltaic water pumping system with MPPT controls[J]. Front. Energy, 2015, 9(2): 187-198.

URL:

https://academic.hep.com.cn/fie/EN/10.1007/s11708-015-0359-5
https://academic.hep.com.cn/fie/EN/Y2015/V9/I2/187

Fig.1 Block diagram of the photovoltaic water pumping system

Fig.2 Temperature and illumination sensors cells

Fig.3 I-V photovoltaic characteristic for different irradiation levels

Fig.4 I-V photovoltaic characteristic for different temperatures

Fig.5 P-V characteristic for different illuminations

Fig.6 P-V characteristic for different temperatures

Fig.7 Block diagram of boost chopper

Fig.8 Block diagram of constant voltage MPPT control

Fig.9 Circuit of MPPT controller

Fig.10 Constant voltage MPPT control results with negative error

Fig.11 Constant voltage MPPT control results with positive error

Fig.12 Behavior of INC MPPT algorithm in thee-level operation

Fig.13 Flowchart of Inc-Cond algorithm

Fig.14 Experimental system

Fig.15 Water pumping program installed on Dspace DS1104

Fig.16 Actual captured illumination and duty ratio evolution

Fig.17 PVG and load voltages

Fig.18 Evolution of MPP

Fig.19 Waveform of stator speed and average value V_s.

Fig.20 Flow rate and torque evolution

Fig.21 Photovoltaic current waveform

Fig.22 Direct and quadratic currents components

Fig.23 Illumination and duty ratio evolution

Fig.24 Inc-cond MPPT method structure

Fig.25 Waveform of reference and output voltage

Fig.26 Evolution of MPP with weather variation

Fig.27 Water flow rate and torque evolution

Fig.28 V_s and ω_s evolution

Fig.29 Illumination and duty ratio evolution

Fig.30 Reference and output voltage waveform

Fig.31 Evolution of MPP

Fig.32 Flow rate and torque evolution

Fig.33 ω_s and average stator voltage evolution

Fig.34 Illumination and duty ratio evolution

Fig.35 PVG and load voltage wave form

Fig.36 MPP evolution

Fig.37 Flow rate and torque evolution

Tab.1 Notations

Tab.2 Appendix 1 PVG parameters

Tab.3 Appendix 2 Pump parameters

Tab.4 Appendix 3 Parameters of induction motor

1	Bose B K. Global warming: energy, environmental pollution and the impact of power electronics. IEEE Industrial Electronics Magazine, 2010, 4(1): 6-17 https://doi.org/10.1109/MIE.2010.935860
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 https://doi.org/10.1007/s11708-012-0169-y
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 https://doi.org/10.1016/0038-092X(91)90095-E

[1]	Ali EL YAAKOUBI, Kamal ATTARI, Adel ASSELMAN, Abdelouahed DJEBLI. Novel power capture optimization based sensorless maximum power point tracking strategy and internal model controller for wind turbines systems driven SCIG[J]. Front. Energy, 2019, 13(4): 742-756.
[2]	P. PADMAGIRISAN, V. SANKARANARAYANAN. Powertrain control of a solar photovoltaic-battery powered hybrid electric vehicle[J]. Front. Energy, 2019, 13(2): 296-306.
[3]	Himani,Ratna DAHIYA. Condition monitoring of a wind turbine generator using a standalone wind turbine emulator[J]. Front. Energy, 2016, 10(3): 286-297.
[4]	Abdelhak DIDA,Djilani BENATTOUS. A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control[J]. Front. Energy, 2016, 10(2): 143-154.
[5]	Nabil KAHOUL,Mourad HOUABES,Ammar NEÇAIBIA. A comprehensive simulator for assessing the reliability of a photovoltaic panel peak power tracking system[J]. Front. Energy, 2015, 9(2): 170-179.
[6]	Ammar NEÇAIBIA,Samir LADACI,Abdelfatah CHAREF,Jean Jacques LOISEAU. Fractional order extremum seeking approach for maximum power point tracking of photovoltaic panels[J]. Front. Energy, 2015, 9(1): 43-53.
[7]	Ramesh K GOVINDARAJAN,Pankaj Raghav PARTHASARATHY,Saravana Ilango GANESAN. A control scheme with performance prediction for a PV fed water pumping system[J]. Front. Energy, 2014, 8(4): 480-489.
[8]	Akhil GUPTA,Saurabh CHANANA,Tilak THAKUR. THD reduction with reactive power compensation for fuzzy logic DVR based solar PV grid connected system[J]. Front. Energy, 2014, 8(4): 464-479.
[9]	M. BENADJA,S. SAAD,A. BELHAMRA. Rapid transaction to load variations of active filter supplied by PV system[J]. Front. Energy, 2014, 8(3): 335-344.
[10]	Azzouz TAMAARAT,Abdelhamid BENAKCHA. Performance of PI controller for control of active and reactive power in DFIG operating in a grid-connected variable speed wind energy conversion system[J]. Front. Energy, 2014, 8(3): 371-378.
[11]	Akhil GUPTA,Saurabh CHANANA,Tilak THAKUR. Power quality investigation of a solar PV transformer-less grid- connected system fed DVR[J]. Front. Energy, 2014, 8(2): 240-253.
[12]	Amar BENAISSA, Boualaga RABHI, Ammar MOUSSI, Dahmani AISSA. A linear quadratic regulator control of a stand-alone PEM fuel cell power plant[J]. Front Energ, 2014, 8(1): 62-72.
[13]	Houda BRAHMI, Rachid DHIFAOUI. Dynamic characteristics and improved MPPT control of PV generator[J]. Front Energ, 2013, 7(3): 342-350.
[14]	S. Senthil KUMAR, N. KUMARESAN, N. Ammasai GOUNDEN, Namani RAKESH. Analysis and control of wind-driven self-excited induction generators connected to the grid through power converters[J]. Front Energ, 2012, 6(4): 403-412.
[15]	Rebei NAJET, Ben Ghanem BELGACEM, Hasnaoui OTHMAN. Modeling and control of photovoltaic energy conversion connected to the grid[J]. Front Energ, 2012, 6(1): 35-46.

Viewed

Full text

Abstract

Cited

Shared

Discussed