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Sizing and maintenance visits optimization of a hybrid photovoltaic-hydrogen stand-alone facility using evolutionary algorithms

Author

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  • Jiménez-Fernández, S.
  • Salcedo-Sanz, S.
  • Gallo-Marazuela, D.
  • Gómez-Prada, G.
  • Maellas, J.
  • Portilla-Figueras, A.

Abstract

This paper tackles the optimization of a stand-alone hybrid photovoltaic-batteries-hydrogen (PV-hydrogen) system, using an evolutionary algorithm. Specifically, a stand alone power system for feeding a remote telecommunications facility is studied. The considered system is specifically designed to cover the power necessities of remote, isolated telecommunications facilities, so it must be able to work in an unattended way during a long time period. On the other hand, if maintenance visits are scheduled, it is intuitive that the cost of the stand alone system could be reduced. Thus, two different optimization problems have been considered in this work. The first one consists in the obtention of the optimal number, distribution (two different arrays of batteries must be fed) and disposition (slope and azimuth) of the PV panels in the facility, for the case of autonomous operation of the telecommunication system during at least two years. The second problem considered consists of scheduling a maintenance visit per year, where a technician is able to reconfigure the system. In this case, the problem consists of obtaining the optimal number, distribution, disposition of the PV panels, and also the time of the year where the maintenance visit should take place. An evolutionary algorithm, able to tackle both problems with very few changes, is described in this paper. The proposed evolutionary algorithm has been analyzed in a simulation of a real PV-hydrogen system sited at National Spanish Institute for Aerospace Technology (INTA), at Torrejón de Ardoz, Madrid, Spain. The well-known software TRNSYS has been used in order to simulate the behavior of this PV-hydrogen system. Several simulations of the system recreating different weather conditions of three Spanish cities (Madrid, Barcelona and La Coruña) have been carried out, and a comparative analysis of the results obtained by the evolutionary algorithm has been done. The results obtained in the first problem tackled showed that in Madrid the system was able to work in an unattended way during 23 months with 6 PV panels, whereas adding one extra panel, the system was able to work in an unattended way for more than 24 months. In the case of Barcelona and La Coruña solutions with 6 PV panels provide 21 and 20 months of unattended work of the system. In the second problem tackled, we have obtained an important reduction in the number of PV panels needed for obtaining an unattended work of the system between two maintenance visits.

Suggested Citation

  • Jiménez-Fernández, S. & Salcedo-Sanz, S. & Gallo-Marazuela, D. & Gómez-Prada, G. & Maellas, J. & Portilla-Figueras, A., 2014. "Sizing and maintenance visits optimization of a hybrid photovoltaic-hydrogen stand-alone facility using evolutionary algorithms," Renewable Energy, Elsevier, vol. 66(C), pages 402-413.
    • Handle: RePEc:eee:renene:v:66:y:2014:i:c:p:402-413
    DOI: 10.1016/j.renene.2013.12.028
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    1. Mellit, A. & Benghanem, M. & Arab, A. Hadj & Guessoum, A., 2005. "An adaptive artificial neural network model for sizing stand-alone photovoltaic systems: application for isolated sites in Algeria," Renewable Energy, Elsevier, vol. 30(10), pages 1501-1524.
    2. Diaf, S. & Notton, G. & Belhamel, M. & Haddadi, M. & Louche, A., 2008. "Design and techno-economical optimization for hybrid PV/wind system under various meteorological conditions," Applied Energy, Elsevier, vol. 85(10), pages 968-987, October.
    3. Beccali, M. & Brunone, S. & Cellura, M. & Franzitta, V., 2008. "Energy, economic and environmental analysis on RET-hydrogen systems in residential buildings," Renewable Energy, Elsevier, vol. 33(3), pages 366-382.
    4. Saheb-Koussa, D. & Haddadi, M. & Belhamel, M., 2009. "Economic and technical study of a hybrid system (wind-photovoltaic-diesel) for rural electrification in Algeria," Applied Energy, Elsevier, vol. 86(7-8), pages 1024-1030, July.
    5. Dufo-López, Rodolfo & Bernal-Agustín, José L. & Yusta-Loyo, José M. & Domínguez-Navarro, José A. & Ramírez-Rosado, Ignacio J. & Lujano, Juan & Aso, Ismael, 2011. "Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage," Applied Energy, Elsevier, vol. 88(11), pages 4033-4041.
    6. Mellit, Adel & Kalogirou, Soteris A. & Drif, Mahmoud, 2010. "Application of neural networks and genetic algorithms for sizing of photovoltaic systems," Renewable Energy, Elsevier, vol. 35(12), pages 2881-2893.
    7. Ekren, Orhan & Ekren, Banu Y., 2010. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing," Applied Energy, Elsevier, vol. 87(2), pages 592-598, February.
    8. Bekele, Getachew & Palm, Björn, 2010. "Feasibility study for a standalone solar-wind-based hybrid energy system for application in Ethiopia," Applied Energy, Elsevier, vol. 87(2), pages 487-495, February.
    9. Beckman, William A. & Broman, Lars & Fiksel, Alex & Klein, Sanford A. & Lindberg, Eva & Schuler, Mattias & Thornton, Jeff, 1994. "TRNSYS The most complete solar energy system modeling and simulation software," Renewable Energy, Elsevier, vol. 5(1), pages 486-488.
    10. Toffolo, A. & Lazzaretto, A., 2002. "Evolutionary algorithms for multi-objective energetic and economic optimization in thermal system design," Energy, Elsevier, vol. 27(6), pages 549-567.
    11. Jursa, René & Rohrig, Kurt, 2008. "Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models," International Journal of Forecasting, Elsevier, vol. 24(4), pages 694-709.
    12. Cellura, M. & Di Gangi, A. & Longo, S. & Orioli, A., 2012. "Photovoltaic electricity scenario analysis in urban contests: An Italian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2041-2052.
    13. Kusiak, Andrew & Zheng, Haiyang, 2010. "Optimization of wind turbine energy and power factor with an evolutionary computation algorithm," Energy, Elsevier, vol. 35(3), pages 1324-1332.
    14. Kalantar, M. & Mousavi G., S.M., 2010. "Dynamic behavior of a stand-alone hybrid power generation system of wind turbine, microturbine, solar array and battery storage," Applied Energy, Elsevier, vol. 87(10), pages 3051-3064, October.
    15. Vaisakh, K. & Srinivas, L.R., 2010. "A genetic evolving ant direction DE for OPF with non-smooth cost functions and statistical analysis," Energy, Elsevier, vol. 35(8), pages 3155-3171.
    16. Stutenbäumer, Ulrich & Negash, Tesfaye & Abdi, Amensisa, 1999. "Performance of small-scale photovoltaic systems and their potential for rural electrification in Ethiopia," Renewable Energy, Elsevier, vol. 18(1), pages 35-48.
    17. Zoulias, E.I. & Glockner, R. & Lymberopoulos, N. & Tsoutsos, T. & Vosseler, I. & Gavalda, O. & Mydske, H.J. & Taylor, P., 2006. "Integration of hydrogen energy technologies in stand-alone power systems analysis of the current potential for applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(5), pages 432-462, October.
    18. Uzunoglu, M. & Onar, O.C. & Alam, M.S., 2009. "Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications," Renewable Energy, Elsevier, vol. 34(3), pages 509-520.
    19. Corsini, Alessandro & Rispoli, Franco & Gamberale, Mario & Tortora, Eileen, 2009. "Assessment of H2- and H2O-based renewable energy-buffering systems in minor islands," Renewable Energy, Elsevier, vol. 34(1), pages 279-288.
    20. Liao, Chiung-Chou, 2010. "Genetic k-means algorithm based RBF network for photovoltaic MPP prediction," Energy, Elsevier, vol. 35(2), pages 529-536.
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    3. Mahbub, Md Shahriar & Cozzini, Marco & Østergaard, Poul Alberg & Alberti, Fabrizio, 2016. "Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design," Applied Energy, Elsevier, vol. 164(C), pages 140-151.
    4. Maleki, Akbar & Ameri, Mehran & Keynia, Farshid, 2015. "Scrutiny of multifarious particle swarm optimization for finding the optimal size of a PV/wind/battery hybrid system," Renewable Energy, Elsevier, vol. 80(C), pages 552-563.
    5. Mallol-Poyato, R. & Jiménez-Fernández, S. & Díaz-Villar, P. & Salcedo-Sanz, S., 2016. "Joint optimization of a Microgrid's structure design and its operation using a two-steps evolutionary algorithm," Energy, Elsevier, vol. 94(C), pages 775-785.
    6. Dmitriy N. Karamov & Pavel V. Ilyushin & Konstantin V. Suslov, 2022. "Electrification of Rural Remote Areas Using Renewable Energy Sources: Literature Review," Energies, MDPI, vol. 15(16), pages 1-13, August.
    7. Luciano T. Barbosa & Samuel D. Vasconcelos & Pedro A. C. Rosas & José F. C. Castro & Douglas C. P. Barbosa, 2024. "Assessment of Green Hydrogen as Energy Supply Alternative for Isolated Power Systems and Microgrids," Energies, MDPI, vol. 17(19), pages 1-28, September.
    8. Abdulla, Hind & Sleptchenko, Andrei & Nayfeh, Ammar, 2024. "Photovoltaic systems operation and maintenance: A review and future directions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 195(C).
    9. Ailton Gonçalves & Gustavo O. Cavalcanti & Marcílio A. F. Feitosa & Roberto F. Dias Filho & Alex C. Pereira & Eduardo B. Jatobá & José Bione de Melo Filho & Manoel H. N. Marinho & Attilio Converti & L, 2023. "Optimal Sizing of a Photovoltaic/Battery Energy Storage System to Supply Electric Substation Auxiliary Systems under Contingency," Energies, MDPI, vol. 16(13), pages 1-17, July.
    10. Faran Ahmed & Muhammad Naeem & Muhammad Iqbal, 2017. "ICT and renewable energy: a way forward to the next generation telecom base stations," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 64(1), pages 43-56, January.
    11. Asma Mohamad Aris & Bahman Shabani, 2015. "Sustainable Power Supply Solutions for Off-Grid Base Stations," Energies, MDPI, vol. 8(10), pages 1-38, September.

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