Proposed Algorithm MPPT for Photovoltaic System

Mohcene Bechouat, Moussa Sedraoui, Sami Kahla

Abstract


A proposed algorithm MPPT (Maximum Power Point Tracking) is proposed in this paper. When the insolation change rapidly, the P&O (Perturb and Observe) algorithm is used to adjust the operating point of the PV (Photovoltaic) array close to the MPP (Maximum Power Point) for fast tracking; also, the INC (Incremental Conductance) algorithm and the fuzzy controller skip drawbacks of the P&O algorithm by decreasing oscillations around the MPP and the underestimated. In addition, to improve the control precision, the effectiveness of proposed algorithm is validated by simulation using Matlab/Simulink, the simulation results show that the proposed algorithm tracks the MPP quickly, reduces the oscillation around the MPP effectively and improves the energy conversion efficiency of the PV panel.


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References


Safari A, Mekhilef S. Simulation and hardware. Implementation of incremental conductance MPPT with direct control method using Cuk converter. IEEE Trans Ind Electron 2011; 58:1154–61.

Mei Q, Shan M, Liu L, Guerrero JM. A novel improved variable step-size a novel improved variable step-size method for PV systems. IEEE Trans Ind Electron 2011;58:2427–34.

Abdelsalam AK, Massoud AM, Ahmed S, Enjeti P. High-performance adaptive perturb and observe MPPT technique for photovoltaic-based micro grids. IEEE Trans Power Electron 2011;26:1010–21.

Anastasios I. Dounis, Panagiotis Kofinas, Constantine Alafodimos, Dimitrios Tseles. Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system. Renewable Energy, vol 60,202-214. doi:10.1016/j. renene.2013.04.014.

Stefan Daraban , Dorin Petreus , Cristina Morel. A novel MPPT (maximum power point tracking) algorithm based on a modified genetic algorithm specialized on tracking the global maximum power point in photovoltaic systems affected by partial shading. Energy, vol 74,374-388. doi:10.1016/j.energy.2014.07.001.

Li.S. A MPPT control strategy with variable weather parameter and no DC/DC converter for photovoltaic systems. Solar Energy, vol 108, 117-125. doi: 10.1016/j.solener.2014.07.002.

Jun Qi, Youbing Zhang, Yi Chen. Modeling and maximum power point tracking (MPPT) method for PV array under partial shade conditions. Renewable Energy, vol 66, 337-345. doi: 10.1016//j.renene.2013.12.018.

Kwei Kwang Chang. Modeling of PV performance without using equivalent circuits. Solar Energy, vol 115, 419-429. doi: 10.1016/j.solener.2015.01.025.

Aissa Chouder, Santiago Silvestre, Bilal Taghezouit, Engin Karatepe. Monitoring, modelling and simulation of PV systems using LabVIEW. Solar Energy, vol 91, 337–349. Doi: 10.1016/j.solener.2012.09.016.

Abdelghani Harrag , Sabir Messalti. Variable step size modified P&O MPPT algorithm using GA-based hybridoffline/online PID controller. Renewable and Sustainable Energy Reviews, vol 49, 1247–1260. Doi: 10.1016/j.rser.2015.05.003.

Jubaer Ahmed, Zainal Salam. An improved perturb and observe (P&O) maximum power point tracking (MPPT) algorithm for higher efficiency. Applied Energy, vol 150, 97–108. Doi: 10.1016/j.apenergy.2015.04.006.

Yanyun Wang, Dongwei Xia and Hao Han. A Dual-mode MPPT Algorithm Based on the Golden Section Point of the PV System. Advanced Materials Research, vol 748(2013), 833-838. Doi:10.4028/www.scientific.net/AMR.748.833.

M. Azzouzi. Optimization of Photovoltaic Generator by Using P&O Algorithm Under Different Weather Conditions. CEAI, vol.15, no.2 pp. 12-19, 2013.

Mohamed A.Eltawil, ZhengmingZhao. MPPT techniques for photovoltaic applications. Newable and Sustainable Energy Reviews, vol 25, 793–813. Doi: 10.1016/j.rser.2013.05.022.

F. Chekired, C. Larbes, D. Rekioua, F. Haddad. implementation of a MPPT fuzzy controller for photovoltaic systems on FPGA circuit. Energy Procedia, , vol 6, 541–549. Doi:10.1016/j.egypro.2011.05.062.

A. Messai, A. Mellit , A. Massi Pavan , A. Guessoum, H. Mekki. FPGA-based implementation of a fuzzy controller (MPPT) for photovoltaic module. Energy Conversion and Management , vol 52, 2695-2704. Doi:10.1016/j.enconman.2011.01.021.

O. Wasynezuk. Dynamic behavior of a class of photovoltaic power system. IEEE Trans. Power App. Syst., vol. PAS-102, no. 9, pp. 3031–3037, Sep. 1983.

Guan-Chyun Hsieh, Hung-I Hsieh Cheng-Yuan Tsai, and Chi-Hao Wang. Photovoltaic Power-Increment-Aided Incremental-Conductance MPPT With Two-Phased Tracking. IEEE Transactions On Power Electronics, vol. 28, no. 6, june 2013.

Parimita Mohanty, G.Bhuvaneswari, R.Balasubramanian, Navdeep Kaur Dhaliwal. MATLAB based modeling to study the performance of different MPPT techniques used for solar PV system under various operating conditions. Solar Energy, vol 38, 581–593. Doi: 10.1016/j.rser.2014.06.001.

N. Femia, G. Petrone, G. Spagnuolo, M. Vitelli. Optimal Sampling Rate of P&O MPPT Technique. Proceedings of PESC, Aachen(Germany), June 20-25.2004.




DOI: http://dx.doi.org/10.47238/ijeca.v3i1.60

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