### Application of adaptive fuzzy logic controller to improve photovoltaic pumping system performances

#### Abstract

This research presents an optimization for a photovoltaic pumping system with an adaptive fuzzy logic controller (AFLC). This maximization power point tracking (MPPT) approach is compared with the traditional control Perturb &Observ (P&O) to demonstrate its efficiency. After a sizing study, an application is made under two different days, to satisfy water consumption in Bejaia city. Different models can be used in photovoltaic-pumping system. In our case, we apply a model where the electrical power input of the motor-pump is directly function of the water flow output for various total heads. A simulation study under MATLAB/Simulink has been made using P&O and AFLC approaches. The outcomes demonstrate that applying the AFLC method, particularly for low changes of solar irradiation, improves the system pumping performance. Thus, the amount of power extracted is more and consequently the volume of the pumped flow has been rised. It is also noticed a gain in pumping time. The different results show the superiority of AFLC approach in terms of power, water flow and speed.

#### Full Text:

PDF#### References

R. Akkaya, and A. A. Kulaksız, "A microcontroller-based stand-alone photovoltaic power system for residential appliances, " Appl Energy, 78(4), pp.419–431, 2004.

C. Hua, Lin J, C. Shen, "Implementation of a DSP-controlled photovoltaic system with peak power tracking," IEEE Trans Ind. Electron., 45(1), pp.99–107, 1998.

D. Rekioua, E. Matagne, "Optimization of photovoltaic power systems: Modelization, Simulation, and Control," Green Energy and Technology, vol. 102, pp.1-283, 2012.

N. Femia, G. Petrone, G. Spagnuolo, "Optimization of Perturb and Observes Maximum Power Point Method Alignment," IEEE Trans. on power electronics,” 20(4), pp.963-973, 2005.

V. Salas, E. Olias, A. Barrado, A. Làzaro, "Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems," Solar Energy Materials & Solar Cells, 90(11), pp.1555–1578, 2006.

S. Lalouni and D. Rekioua, "Modeling and simulation of a photovoltaic system using fuzzy logic controller," In Proceedings of International Conference on Developments in eSystems Engineering, DeSE 2009, pp. 23–28, 2009.

D. Rekioua, "MPPT Methods in Hybrid Renewable Energy Systems," Green Energy and Technology, pp. 79-138, 2020.

R. Gules, J. Pellegrin Pacheco, HL. Hey, J. Imhoff, "A Maximum Power Point Tracking System with Parallel Connection for PV Stand-Alone Applications," IEEE Transactions on Industrial Electronics, 55(7), pp.2674–2683, 2008.

D. P. Hohm, M. E. Ropp, "Comparative study of Maximum Power Point Tracking Algorithms," Progress in Photovoltaics, Research and Applications, 11(1), pp. 47-62, 2003.

D. Sibtain, M. M. Gulzar, K. Shahid, I. Javed, S. Murawwat, M. M. Hussain, "Stability Analysis and Design of Variable Step-Size P&O Algorithm Based on Fuzzy Robust Tracking of MPPT for Standalone/Grid Connected Power System," Sustainability (Switzerland), 14(15), art. no. 8986, 2022.

T. Esram and P. L. Chapman, "Comparison of photovoltaic array maximum power point tracking techniques," IEEE Trans. Energy Conversion, 22(2), pp.439–449, 2007.

D. Rekioua, S. Bensmail, N. Bettar, "Development of hybrid photovoltaic-fuel cell system for stand-alone application," International Journal of Hydrogen Energy, 39(3), pp. 1604-1611, 2014.

M. B. Smida, A. Sakly, "Fuzzy logic control of a hybrid renewable energy system: A comparative study," Wind Engineering, 45(4), pp.793-806, 2021.

M. I. S. Guerra, F. M. U. de Araujo, M. Dhimish, R. G. Vieira, "Assessing maximum power point tracking intelligent techniques on a PV system with a buck–boost converter," Energies, 14(22), art. no. 7453, 2021.

A. Achour, D. Rekioua, A. Mohammedi, Z. Mokrani, T. Rekioua, S. Bacha, "Application of direct torque control to a photovoltaic pumping system with sliding-mode control optimization," Electric Power Components and Systems, 44(2), pp. 172-184, 2016.

D. Rekioua, T. Rekioua, Y. Soufi, "Control of a grid-connected photovoltaic system," In Proc. of the 2015 International Conference on Renewable Energy Research and Applications, ICRERA 2015, art. no. 7418634, pp. 1382-1387, 2015.

D.Rekioua, "Power Electronics in Hybrid Renewable Energies Systems," Green Energy and Technology, pp. 39-77, 2020.

S. Lalouni, D. Rekioua, "Optimal control of a grid-connected photovoltaic system with the constant switching frequency," Energy Procedia, vol.36, pp. 189-199, 2013.

A. Mohammedi, D. Rekioua, T. Rekioua, S. Bacha, "Valve Regulated Lead Acid battery behavior in a renewable energy system under an ideal Mediterranean climate," International Journal of Hydrogen Energy, 41(45), pp. 20928-20938, 2016.

V. Pandurangan, P. Malik, "Supervisory control of operation of a cogeneration plant using fuzzy logic," International Journal of Applied Power Engineering (IJAPE), 8(3), pp.234-248, 2016.

D. Rekioua, A. Mohammedi, "Direct torque control for autonomous photovoltaic system with MPPT control," Turkish Journal of Electromechanics & Energy, 5(2), pp.48-55, 2020.

D. Rekioua, F. Zaouche, H. Hassani, T. Rekioua, S. Bacha, "Modeling and fuzzy logic control of a stand-alone photovoltaic system with battery storage," Turkish Journal of Electromechanics & Energy, 4(1), pp.11-17, 2019.

M. S. Ebrahim, A.M. Sharaf, A.M. Atallah, and A.S. Emarah, "An Efficient Controller for Standalone Hybrid-PV Powered System," Turkish Journal of Electromechanics & Energy, 2(1), pp.9-15, 2017

URN: https://sloi.org/urn:sl:tjoee73243

Copyright (c) 2022 Turkish Journal of Electromechanics and Energy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

**Indexed in:**