Top

Energy Systems

Published in:

02-07-2018 | Original Paper

Robust control of a photovoltaic pumping system with super-capacitor storage, P&O algorithm and pole placement technique

Authors: Afef Ben Othman, Mohamed Ali Ben Fathallah, Mongi Besbes

Published in: Energy Systems | Issue 4/2019

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

This paper represents an electrical modeling of a photovoltaic water pumping system composed of photovoltaic panels. The system reassures electrical energy generation applying a DC buck converter in order to supply a DC motor to pump water. Known for its optimal electrical and physical properties, the super capacitor is integrated into the PV pumping system to allow storing electrical energy and powering the pumping motor at nights and cloudy days. The implementation of the perturbation and observation algorithm in the DC buck converter reassures the system’s operation around the maximum power point produced by the photovoltaic panel. Moving from quantity problem to quality problem, several internal and external factors can infect the stability of the PV pumping system and disrupt its operation around nominal point. On account of this, a pole placement technique is proposed in this paper. This technique is advocated not only for its simple processing and rapid execution, but also for being based on the conversion of the electrical model of the PV pumping system into a mathematical model that comprises matrix equations. This energy conversion process allows variations in output values in proportion to the input evolution along with positioning the system’s poles in the stable points of the S-plane. The equation of this technique applied to the photovoltaic pumping system is indicated in this paper having its program created in Matlab and installed in PLC S7-200 on account of its ability to monitor the inputs instantaneously and modify the outputs in a way proportional to the installed program. Subsequently, the validation of the robustness of this technique is reassured by the comparison between the simulation in Matlab and the experimental tests carried out in sunny periods having the engine powered by photovoltaic panels, and shaded periods where power supply is reassured by the super capacitor.

previous article Seeker optimized SVC-PID controller for reactive power control of an isolated hybrid power system

next article Modeling and performance study of a parabolic trough solar power plant using molten salt storage tank in Egypt: effects of plant site location

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Meah, K., Fletcher, S., Ula, S.: Solar Photovoltaic Water Pumping for Remote Locations. Renewable and Sustainable Energy Reviews, pp. 472–487. Elsevier, Oxford (2008)

Luo, Y., Panwar, M., Mohanpurkar, M., Hovsapian, R.: Real time optimal control of supercapacitor operation for frequency response. IEEE, Power and Energy Society General Meeting (2016)

Luo, Y., Wang, C., Tan, L., Liao, G., Zhou, M., Cartes, D., Liu, W.: Application of generalized predictive control for charging super capacitors in microgrid power systems under input constraints. The 5th annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, pp. 1708–1713 (2015)

Yusof, Y., Sayuti, S.H., Abdul Latif, M., Che Wanik, M.Z.: Modeling and simulation of maximum power point tracker for photovoltaic system. National Power and Energy Conference, pp. 88–93 (2004)

Xiao, W., Dunford, W.G.: Evaluating maximum power point tracking performance by using artificial lights. Conferen C9 of the IEEE Industrial Electronics Society, pp. 2883–2887 (2004)

Miqoi, S., El Ougli, A., Boutouba, M., Tidhaf, B.: Fuzzy sliding mode control for maximum power point tracking of a photovoltaic pumping system. J. Electr. Syst. 13, 95–114 (2017)

Sourov, M.R., Ahmed, U.T., Rabbani, M.G.: A high performance maximum power point tracker for photovoltaic power system using DC–DC boost converter. IOSR J. Eng. 2(12), 12–20 (2012)CrossRef

Chermitti, A., Boukli-Hacene, O., Mouhadjer, S.: Design of a library of components for autonomous photovoltaic system under Matlab/Simulink. Int. J. Comput. Appl. 53(14), 13–19 (2012)

Liang, T.J., Kuo, Y.C., Chen, J.F.: Single-stage photovoltaic energy conversion system. IEE Proc. Eleclr. Power Appl. 148(4), 339–344 (2001)CrossRef

10.

Sanseverino, E.R., Ngo Ngoc, T., Cardinale, M., Li Vigni, V., Musso, D., Romano, P., Viola, F.: Dynamic programming and Munkres algorithm for optimal photovoltaic arrays reconfiguration. Solar Energy Sci. Direct 122, 347–358 (2015)CrossRef

11.

Brunelli, D., Dondi, D., Bertacchini, A., Larcher, L., Pavanc, P., Benini, L.: Photovoltaic scavenging systems: modeling and optimization. Microelectron. J. 40, 1337–1344 (2009)CrossRef

12.

Kish, G.J., Lee, J.J., Lehn, P.W.: Modelling and control of photovoltaic panels utilizing the incremental conductance method for maximum power point tracking. IET Renew. Power Gener. 6(4), 259–266 (2012)CrossRef

13.

Kataria, J., Madhav, M.K., Kumar, A.: State derivative feedback control application for pole placement problem. Int. J. Emerg. Technol. Adv. Eng. 4(4), 989–992 (2014)

14.

Bae, H.S., Yang, J.H., Lee, J.H., Cho, B.H.: Digital state feedback current control using the pole placement technique. J. Power Electron. 7(3), 213–221 (2007)

15.

Shenbagalakshmi, R., Renga, S.: Raja, Observer based pole placement and linear quadratic optimization for DC–DC converters. J. Electr. Eng. 1–8, 2012 (2012)

16.

Hazil, O., Bououden, S., Djoudi Gherbi, A., Taghezouit, B., Bakelli, Y.: A robust model predictive control for a DC motor based photovoltaic pumping. 4th International Conference of Renewable Energy, Vol. 17, pp. 60–65 (2016)

17.

Jamri, M.S., Wei, T.C.: Modeling and control of a photovoltaic energy system using the state-space averaging technique. Am. J. Appl. Sci. 7, 682–691 (2010)CrossRef

18.

SIEMENS: S7-200 Programmable Controller System Manual. Edition 05/2003

19.

Goodwin, G.C., Graebe, S.F., Salgado, M.E.: Control System Design. Book in “Prentice Hall International” (2000)

20.

Trentelman, H.L., Stoorvogel, A.A., Hautus, M.: Control Theory for Linear Systems. Book in Communications and Control Engineering. Springer, Berlin (2001)MATH

21.

Al-Gizi, A., Al-Chlaihawi, S., Craciunescu, A.: Efficiency of photovoltaic maximum power point tracking controller based on a fuzzy logic. Adv. Sci. Technol. Eng. Syst. J. 2(3), 1245–1251 (2017)CrossRef

22.

Kamal, T., Hassan, S.Z.: Energy management and simulation of photovoltaic/hydrogen/battery hybrid power system. Adv. Sci. Technol. Eng. Syst. J. 1(2), 11–18 (2016)CrossRef

23.

Horng, J.H.: Neural adaptive tracking control of a DC motor. Inf. Sci. 118, 1–13 (1999)MathSciNetCrossRef

24.

Sarah, A., Rachid, E.B., Med Amine, A.: Modeling of a photovoltaic pumping system using centrifugal pump and DC motor. Sustain. Energy Build. Res. Adv. 2, 1–6 (2013)

25.

Khlifi, M.A.: Study and control of photovoltaic water pumping system. J. Electr. Eng. Technol. 11, 709–716 (2015)

26.

Abouda, S., Nollet, F., Essounbouli, N., Chaari, A., Koubaa, Y.: Design, Simulation and voltage control of standalone photovoltaic system based MPPT: application to a pumping system. Int. J. Renew. Energy Res. 3(3), 538–549 (2013)

27.

Benlarbi, K., Mokrani, L., Nait-Said, M.S.: A fuzzy global efficiency optimization of a photovoltaic water pumping system. Solar Energy Sci. Direct 77, 203–216 (2004)CrossRef

28.

Malla, S.G., Bhende, C.N., Mishra, S.: Photovoltaic based water pumping system. IEEE, International Conference on Energy, Automation and Signal (2011)

29.

El Amri, F., Maker, H., Mouhsen, A., Harmouchi, M.: A new MPPT using gradient method for grid connected PV inverter. IEEE Renewable and Sustainable Energy Conference, pp. 1–6 (2014)

30.

Nguyen, D., Lehman, B., Kamarthi, S.: Performance evaluation of solar photovoltaic arrays including shadow effects using neural network. IEEE Energy Conversion Congress and Exposition, pp. 3357–3362 (2009)

31.

Elzein, I., Petrenko, Y.: Adapting model predictive control for a PV station and evaluating two different MPPT algorithms P&O and FLC. Adv. Sci. Technol. Eng. Syst. J. 2(3), 741–748 (2017)CrossRef

32.

Zayani, H., Allouche, M., Kharrat, M., Chaabane, M.: T–S fuzzy maximum power point tracking control of photovoltaic conversion system. International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, pp. 534–539 (2015)

33.

Bijali, M.S.: Modeling and circuit-simulation of photovoltaic arrays. Int. J. Innov. Eng. 2016, 223–226 (2016)

34.

Islam, S., Hossain, B., Hossain, N., Binte Alam, S., Hoque Chowdhury, E.: Modeling of a double-layer capacitor with individual branch response. In: Proceedings of the World Congress on Engineering and Computer Science, Vol. 2 (2010)

35.

Cultura II, A.B., Salameh, Z.M.: Modeling, evaluation and simulation of a supercapacitor module for energy storage application. International Conference on Computer Information Systems and Industrial Applications, pp. 876–882 (2015)

36.

Ghoneim, A.A.: Design Optimization of Photovoltaic Powered Water Pumping Systems. Energy Conversion and Management, pp. 1449–1463. Elsevier, Oxford (2005)

37.

Patcharaprakiti, N., Premrudeepreechacharn, S.: Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system. IEEE 30, 372–377 (2002)

Title: Robust control of a photovoltaic pumping system with super-capacitor storage, P&O algorithm and pole placement technique
Authors: Afef Ben Othman
Mohamed Ali Ben Fathallah
Mongi Besbes
Publication date: 02-07-2018
Publisher: Springer Berlin Heidelberg
Published in: Energy Systems / Issue 4/2019
Print ISSN: 1868-3967
Electronic ISSN: 1868-3975
DOI: https://doi.org/10.1007/s12667-018-0295-7

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Other articles of this Issue 4/2019

Peak shaving: a planning alternative to reduce investment costs in distribution systems?

Modeling and performance study of a parabolic trough solar power plant using molten salt storage tank in Egypt: effects of plant site location

Forecasting the RES generation in developed and developing countries: a dynamic factor model approach

China’s energy consumption prediction considering error correction based on decompose–ensemble method

Principal components based robust vector autoregression prediction of Turkey’s electricity consumption

An overview on synthesis and design of microalgal biorefinery configurations by employing superstructure-based optimization approach