Abstract
Photovoltaic (PV) panels are devices that convert sun light into electrical energy and are considered to be one of the major ways of producing clean and inexhaustible renewable energy. However, these devices do not always naturally operate at maximum efficiency due to the nonlinearity of their output current-voltage characteristic which is affected by the panel temperature and irradiance. Hence, the addition of a high performance maximum-power-point tracking, MPPT, power converter interface is the key to keeping the PV system operating at the optimum power point which then gives maximum efficiency. In this paper, new adaptive P&O method with variable step size is investigated by using fuzzy logic control. This control technique automatically adjusts the step size to track MPP. The proposed method can largely improve the MPPT response speed and accuracy at steady state simultaneously with less steady-state oscillation. The obtained results demonstrate the efficiency of the proposed MPPT algorithm in terms of speed in MPP tracking and accuracy.
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
Aashoor, F.A.O., Robinson, F.V.P.: A variable step size perturb and observe algorithm for photovoltaic maximum power point tracking. In: 47th International Conference Power Engineering, pp. 1–8 (2012)
Alajmi, B., Ahmed, K., Finney, S., Williams, B.: A maximum power point tracking technique for partially shaded photovoltaic systems in microgrids. IEEE Trans. Ind Electron. 60(4), 1596–1606 (2013)
Hussein, K.H., Muta, I., Hoshino, T., Osakada, M.: Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE Proc. Gener. Trans. Distrib. 142, 59–64 (1995)
Koutroulis, E., Kalaitzakis, K., Voulgaris, N.C.: Development of a microcontroller-based, photovotaic maximum power point tracking control system. IEEE Trans. Power Electron. 16(I), 46–54 (2001)
Kwon, J.M., Kwon, B.H., Nam, K.H.: Three-phase photovoltaic system with three-level boosting MPPT control. IEEE Trans. Power Electron. 23(5), 2319–2327 (2008)
Kyocera Solar Inc. Solar Water Pump Applications Guide 2001 (downloaded from www.kyocerasolar.com)
Shiau, J.K., Lee, M.Y., Wei, Y.C., Chen, B.C.: A study on the fuzzy-logic-based solar power MPPT algorithms using different fuzzy input variables. Algorithms 8(2), 100–127 (2015)
Solar B.P.: SX 150–150 Watt multicrystalline photovol-taic module datasheet (2001)
Thompson M.A.: Reverse-Osmosis Desalination of Seawater Powered by Photovoltaics without Batteries, Doctoral Thesis, Loughborough University (2003)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Abbadi, A., Fethia, H., Abdelkader, M., Djemel, B., Lazhari, N. (2019). Fuzzy Logic Controller Based Perturb and Observe Algorithm for Photovoltaic Water Pump System. In: Hatti, M. (eds) Renewable Energy for Smart and Sustainable Cities. ICAIRES 2018. Lecture Notes in Networks and Systems, vol 62. Springer, Cham. https://doi.org/10.1007/978-3-030-04789-4_17
Download citation
DOI: https://doi.org/10.1007/978-3-030-04789-4_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-04788-7
Online ISBN: 978-3-030-04789-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)