Abstract
Recently, the growing need for energy as well as pollution from the use of fossil fuels are driving the general public to use renewable energies. In this context, solar photovoltaic energy is one of the most important sources of renewable energy, which represents a solution to our energy production problems. In addition, this energy seems the most promising, non-polluting and inexhaustible. Nevertheless, the production system of this energy is nonlinear and it varies according to the luminous intensity and the temperature. Therefore, the operating point of the photovoltaic panel does not always coincide with the point of maximum power. This work proposes a mechanism that allows the research and the pursuit of the maximum power point based on a fuzzy control of photovoltaic system. To develop an algorithm to extract the maximum energy converted by the examined photovoltaics panels.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sedaghatizadeh, N., Arjomandi, M., Kelso, R., Cazzolato, B., Ghayes, M.H.: Modelling of wind turbine wake using large eddy simulation. Renew. Energy 115, 1166–1176 (2018)
Akour, S.N., Al-Heymari, M., Ahmed, T., Ali Khalil, K.: Experimental and theoretical investigation of micro wind turbine for low wind speed regions. Renew. Energy 116, 215–223 (2018). part A
Menezes, E.J.N., Araújo, A.M., da Silva, N.S.B.: A review on wind turbine control and its associated methods. J. Clean. Prod. 174, 945–953 (2018)
Tian, W., Ozbay, A., Hui, H.: An experimental investigation on the aeromechanics and wake interferences of wind turbines sited over complex terrain. J. Wind Eng. Ind. Aerodyn. 172, 379–394 (2018)
Mellit, A., Kalogirou, S.A.: MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: review of current status and future perspectives. Energy 70, 1–21 (2014)
Tahri, A., Oozeki, T., Draou, A.: Monitoring and evaluation of photovoltaic system. Energy Proc. 42, 456–464 (2013)
Ahadi, A., Ghadimi, N., Mirabbasi, D.: Reliability assessment for components of large scale photovoltaic systems. J. Power Sources 264, 211–219 (2014)
Bouabdallah, A., Olivier, J.C., Bourguet, S., Machmoum, M., Schaeffer, E.: Safe sizing methodology applied to a standalone photovoltaic system. Renew. Energy 80, 266–274 (2015)
Geurts, C., Blackmore, P.: Wind loads on stand-off photovoltaic systems on pitched roofs. J. Wind Eng. Ind. Aerodyn. 123, 239–249 (2013). Part A
Tsuanyo, D., Azoumah, Y., Aussel, D., Neveu, P.: Modeling and optimization of batteryless hybrid PV (photovoltaic)/diesel systems for off-grid applications. Energy 86, 152–163 (2015)
Caselli, D., Ning, D.Z.: Monolithically-integrated laterally-arrayed multiple bandgap solar cells for spectrum-splitting photovoltaic systems. Prog. Quant. Electron. 39, 24–70 (2015)
Karakaya, E., Hidalgo, A., Nuur, C.: Motivators for adoption of photovoltaic systems at grid parity: a case study from Southern Germany. Renew. Sustain. Energy Rev. 43, 1090–1098 (2015)
Karakaya, E., Sriwannawit, P.: Barriers to the adoption of photovoltaic systems: the state of the art. Renew. Sustain. Energy Rev. 49, 60–66 (2015)
Shariff, F., Rahim, N.A., Hew, W.P.: Zigbee-based data acquisition system for online monitoring of grid-connected photovoltaic system. Expert Syst. Appl. 42(3), 1730–1742 (2015)
Baig, H., Sellami, N., Mallick, T.K.: Trapping light escaping from the edges of the optical element in a concentrating photovoltaic system. Energy Convers. Manag. 90, 238–246 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Hafaifa, A., Imed, K., Guemana, M., Salam, A. (2020). Maximum Power Point Tracking of Photovoltaic System Based on Fuzzy Control to Increase There Solar Energy Efficiency. In: Serrhini, M., Silva, C., Aljahdali, S. (eds) Innovation in Information Systems and Technologies to Support Learning Research. EMENA-ISTL 2019. Learning and Analytics in Intelligent Systems, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-030-36778-7_62
Download citation
DOI: https://doi.org/10.1007/978-3-030-36778-7_62
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-36777-0
Online ISBN: 978-3-030-36778-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)