Power Quality Enhancement in Hybrid Photovoltaic-Battery System based on three–Level Inverter associated with DC bus Voltage Control

  • Belkacem Belabbas
  • Tayeb Allaoui
  • Mohamed Tadjine
  • Mouloud Denai

Abstract

This modest paper presents a study on the energy quality produced by a hybrid system consisting of a Photovoltaic (PV)power source connected to a battery. A three-level inverter was used in the system studied for the purpose of improvingthe quality of energy injected into the grid and decreasing the Total Harmonic Distortion (THD). A Maximum Power PointTracking (MPPT) algorithm based on a Fuzzy Logic Controller (FLC) is used for the purpose of ensuring optimal productionof photovoltaic energy. In addition, another FLC controller is used to ensure DC bus stabilization. The considered systemwas implemented in the Matlab /Simpower environment. The results show the effectiveness of the proposed inverter at threelevels in improving the quality of energy injected from the system into the grid.

References

[1] P. Kakosimos, K. Pavlou, A. Kladas, S. Manias, A single-phase ninelevel
inverter for renewable energy systems employing model predictive
control, Energy Conversion and Management 89 (2015) 427–437.
[2] N. Eghtedarpour, E. Farjah, Control strategy for distributed integration
of photovoltaic and energy storage systems in dc micro-grids, Renewable
energy 45 (2012) 96–110.
[3] K. Arulkumar, D. Vijayakumar, K. Palanisamy, Modeling and control
strategy of three phase neutral point clamped multilevel pv inverter
connected to the grid, Journal of Building Engineering 3 (2015) 195–
202.
[4] A. Chouder, S. Silvestre, N. Sadaoui, L. Rahmani, Modeling and simulation
of a grid connected pv system based on the evaluation of main pv
module parameters, Simulation Modelling Practice and Theory 20 (1)
(2012) 46–58.
[5] S. Ozdemir, N. Altin, I. Sefa, Single stage three level grid interactive
mppt inverter for pv systems, Energy Conversion and Management 80
(2014) 561–572.
[6] N. Altin, S. Ozdemir, Three-phase three-level grid interactive inverter
with fuzzy logic based maximum power point tracking controller, Energy
Conversion and Management 69 (2013) 17–26.
[7] A. Oshaba, E. Ali, S. A. Elazim, Mppt control design of pv system
supplied srm using bat search algorithm, Sustainable Energy, Grids
and Networks 2 (2015) 51–60.
[8] T. Esram, P. L. Chapman, Comparison of photovoltaic array maximum
power point tracking techniques, IEEE Transactions on energy conversion
22 (2) (2007) 439–449.
[9] F. Liu, S. Duan, F. Liu, B. Liu, Y. Kang, A variable step size inc mppt
method for pv systems, IEEE Transactions on industrial electronics
55 (7) (2008) 2622–2628.
[10] Q. Mei, M. Shan, L. Liu, J. M. Guerrero, A novel improved variable
step-size incremental-resistance mppt method for pv systems, IEEE
transactions on industrial electronics 58 (6) (2011) 2427–2434.
[11] S. K. M. Niapour, S. Danyali, M. Sharifian, M. Feyzi, Brushless dc motor
drives supplied by pv power system based on z-source inverter
and fl-ic mppt controller, Energy Conversion and Management 52 (8)
(2011) 3043–3059.
[12] M. Alata, M. Al-Nimr, Y. Qaroush, Developing a multipurpose sun tracking
system using fuzzy control, Energy Conversion and Management
46 (7) (2005) 1229–1245.
[13] M. Ouada, M. Meridjet, M. Saoud, N. Talbi, Increase efficiency of photovoltaic
pumping system based bldc motor using fuzzy logic mppt control,
WSEAS Transactions on Power Systems 8 (3) (2013) 104–113.
[14] F. Aashoor, F. Robinson, Maximum power point tracking of photovoltaic
water pumping system using fuzzy logic controller, in: Power Engineering
Conference (UPEC), 2013 48th International Universities’, IEEE,
2013, pp. 1–5.
[15] L. Letting, J. Munda, Y. Hamam, Optimization of a fuzzy logic controller
for pv grid inverter control using s-function based pso, Solar Energy
86 (6) (2012) 1689–1700.
[16] M. Ouada, M. S. Meridjet, N. Talbi, Optimization photovoltaic pumping
system based bldc using fuzzy logic mppt control, in: Renewable and
Sustainable Energy Conference (IRSEC), 2013 International, IEEE,
2013, pp. 27–31.
[17] X. Feng, H. Gooi, S. Chen, Hybrid energy storage with multimode fuzzy
power allocator for pv systems, IEEE Transactions on Sustainable Energy
5 (2) (2014) 389–397.
[18] H. Zhang, S. Cheng, A new mppt algorithm based on ann in solar
pv systems, in: Advances in Computer, Communication, Control and
Automation, Springer, 2011, pp. 77–84.
[19] M. A. Younis, T. Khatib, M. Najeeb, A. M. Ariffin, An improved maximum
power point tracking controller for pv systems using artificial neural
network, Przegla˛d Elektrotechniczny 88 (3b) (2012) 116–121.
[20] N. Altin, ˙I. Sefa, dspace based adaptive neuro-fuzzy controller of grid
interactive inverter, Energy Conversion and Management 56 (2012)
130–139.
[21] A. Bahgat, N. Helwa, G. Ahmad, E. El Shenawy, Maximum power point
traking controller for pv systems using neural networks, Renewable
Energy 30 (8) (2005) 1257–1268.
[22] A. A. Kulaksiz, R. Akkaya, Training data optimization for anns using genetic
algorithms to enhance mppt efficiency of a stand-alone pv system,
Turkish Journal of Electrical Engineering & Computer Sciences
20 (2) (2012) 241–254.
[23] H.-T. Yau, Q.-C. Liang, C.-T. Hsieh, Maximum power point tracking and
optimal li-ion battery charging control for photovoltaic charging system,
Computers & Mathematics with Applications 64 (5) (2012) 822–832.
[24] D. Parra, G. S. Walker, M. Gillott, Modeling of pv generation, battery
and hydrogen storage to investigate the benefits of energy storage for
single dwelling, Sustainable Cities and Society 10 (2014) 1–10.
[25] K. Himour, K. Ghedamsi, E. M. Berkouk, Supervision and control of
grid connected pv-storage systems with the five level diode clamped
inverter, Energy Conversion and Management 77 (2014) 98–107.
[26] N.-K. C. Nair, N. Garimella, Battery energy storage systems: Assessment
for small-scale renewable energy integration, Energy and Buildings
42 (11) (2010) 2124–2130.
[27] E. Rejovitzky, C. V. Di Leo, L. Anand, A theory and a simulation capability
for the growth of a solid electrolyte interphase layer at an anode
particle in a li-ion battery, Journal of the Mechanics and Physics of
Solids 78 (2015) 210–230.
[28] S. Anuphappharadorn, S. Sukchai, C. Sirisamphanwong, N. Ketjoy,
Comparison the economic analysis of the battery between lithiumion
and lead-acid in pv stand-alone application, Energy Procedia 56
(2014) 352–358.
[29] A. Salvadori, D. Grazioli, M. Geers, Governing equations for a twoscale
analysis of li-ion battery cells, International Journal of Solids and
Structures 59 (2015) 90–109.
[30] M. Abbes, J. Belhadj, New control method of a robust npc converter
for renewable energy sources grid connection, Electric Power Systems
Research 88 (2012) 52–63.
[31] G. Tsengenes, G. Adamidis, A multi-function grid connected pv system
with three level npc inverter and voltage oriented control, Solar Energy
85 (11) (2011) 2595–2610.
[32] J. Alonso-Martı, S. Arnaltes, et al., Direct power control of grid connected
pv systems with three level npc inverter, Solar Energy 84 (7) (2010) 1175–1186.
[33] C. Bharatiraja, R. Palanisamy, S. S. Dash, et al., Hysteresis current
controller based transformerless split inductor-npc-mli for grid connected
pv-system, Procedia Engineering 64 (2013) 224–233.
[34] D. Lalili, A. Mellit, N. Lourci, B. Medjahed, C. Boubakir, State feedback
control and variable step size mppt algorithm of three-level gridconnected
photovoltaic inverter, Solar Energy 98 (2013) 561–571.
[35] A. Ravi, P. Manoharan, J. V. Anand, Modeling and simulation of three
phase multilevel inverter for grid connected photovoltaic systems, Solar
Energy 85 (11) (2011) 2811–2818.
[36] R. Shalchi Alishah, M. Barzegar, D. Nazarpour, A new cascade boost
inverter for photovoltaic applications with minimum number of elements,
International Transactions on Electrical Energy Systems 25 (7)
(2015) 1241–1256.
[37] L. W. Yao, J. Aziz, P. Y. Kong, N. Idris, Modeling of lithium-ion battery
using matlab/simulink, in: Industrial Electronics Society, IECON 2013-
39th Annual Conference of the IEEE, IEEE, 2013, pp. 1729–1734.
[38] H. Beltran, M. Swierczynski, A. Luna, G. Vazquez, E. Belenguer, Photovoltaic
plants generation improvement using li-ion batteries as energy
buffer, in: Industrial Electronics (ISIE), 2011 IEEE International
Symposium on, IEEE, 2011, pp. 2063–2069.
[39] M. M. Aly, E. Abdelkarim, M. Abdel-Akher, Mitigation of photovoltaic
power generation fluctuations using plug-in hybrid electric vehicles
storage batteries, International Transactions on Electrical Energy Systems
25 (12) (2015) 3720–3737.
[40] J. D. Barros, J. F. Silva, Optimal predictive control of three-phase npc
multilevel converter for power quality applications, IEEE Transactions
on Industrial Electronics 55 (10) (2008) 3670–3681.
[41] F. Merahi, E. M. Berkouk, Back-to-back five-level converters for wind
energy conversion system with dc-bus imbalance minimization, Renewable
Energy 60 (2013) 137–149.
[42] T. Noguchi, et al., A new three-level current-source pwm inverter and
its application for grid connected power conditioner, Energy Conversion
and Management 51 (7) (2010) 1491–1499.
[43] Q. Shi, H. Hu, W. Xu, J. Yong, Low-order harmonic characteristics of
photovoltaic inverters, International Transactions on Electrical Energy
Systems 26 (2) (2016) 347–364.
Published
2017-12-26
How to Cite
BELABBAS, Belkacem et al. Power Quality Enhancement in Hybrid Photovoltaic-Battery System based on three–Level Inverter associated with DC bus Voltage Control. Journal of Power Technologies, [S.l.], v. 97, n. 4, p. 272--282, dec. 2017. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/992>. Date accessed: 19 apr. 2024.
Section
Energy Conversion and Storage

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