AUTHORS: Mohamed Amine Abdourraziq, Mohamed Maaroufi, Mohamed Ouassaid, Mouhaydine Tlemcani

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ABSTRACT: Maximum Power Point Tracking (MPPT) techniques are most famous application in photovoltaic system to track the maximum power of the PV system. Usually, most of maximum power point tracking algorithms used fixed step and two variables: the photovoltaic (PV) array voltage (V) and current (I). Therefore both PV array current and voltage have to be measured. The maximum power point trackers that based on single variable (I or V) have a great attention due to their simplicity and ease in implementation, compared to other tracking techniques. With traditional perturb and observe algorithm based on two variable (I and V) using fixed iteration step-size, it is impossible to satisfy both performance requirements of fast response speed and high accuracy during the steady state at the same time. To overcome these limitations a new algorithm based on single variable method with variable step size has been investigated which has been implemented using fuzzy logic control. The proposed method has been evaluated by simulation using MATLAB under different atmospheric conditions. The experimental results show the high performance of the proposed method compared to P&O method.

KEYWORDS: Maximum power point; Single sensor; new algorithm; MPPT; Perturb and Observe

REFERENCES:

[1] Jiang, J. A., Wang, J. C., Kuo, K. C., Su, Y. L., Shieh, J. C., & Chou, J. J. (2012). Analysis of the junction temperature and thermal characteristics of photovoltaic modules under various operation conditions. Energy, 44(1), 292-301.

[2] Amrouche, B., Guessoum, A., & Belhamel, M. (2012). A simple behavioural model for solar mod ule electric characteristics based on the first order system step response for MPPT study and comparison. Applied Energy, 91(1), 395-404.

[3] Elgendy, M. A., Zahawi, B., & Atkinson, D. J. (2013). Assessment of the incremental conductance maximum power point tracking algorithm. Sustainable Energy, IEEE Transactions on, 4(1), 108-117.

[4] Ahmed, E. M., & Shoyama, M. (2011, May). Stability study of variable step size incremental conductance/impedance MPPT for PV systems. In Power Electronics and ECCE Asia (ICPE & ECCE), 2011 IEEE 8th International Conference on (pp. 386-392). IEEE.

[5] Hiyama, T., Kouzuma, S., & Imakubo, T. (1995). Identification of optimal operating point of PV modules using neural network for real time maximum power tracking control. Energy conversion, IEEE transactions on, 10(2), 360-367.

[6] Ahmad, J. (2010, October). A fractional open circuit voltage based maximum power point tracker for photovoltaic arrays. In Software Technology and Engineering (ICSTE), 2010 2nd International Conference on (Vol. 1, pp. V1-247). IEEE.

[7] Noguchi, T., Togashi, S., & Nakamoto, R. (2002). Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic-andconverter module system. Industrial Electronics, IEEE Transactions on, 49(1), 217-223.

[8] Esram, T., & Chapman, P. L. (2007). Comparison of photovoltaic array maximum power point tracking techniques. IEEE Transactions on Energy Conversion EC, 22(2), 439.

[9] Hilloowala, R. M., & Sharaf, A. M. (1996). A rule-based fuzzy logic controller for a PWM inverter in a stand alone wind energy conversion scheme. Industry Applications, IEEE Transactions on, 32(1), 57-65.

[10] D’Souza, N. S., Lopes, L. A., & Liu, X. (2010). Comparative study of variable size perturbation and observation maximum power point trackers for PV systems. Electric Power Systems Research, 80(3), 296-305.

[11] Qin, L., & Lu, X. (2012). Matlab/Simulinkbased research on maximum power point tracking of photovoltaic generation. Physics Procedia, 24, 10-18.

[12] Yang, Y., & Blaabjerg, F. (2012, March). A modified P&O MPPT algorithm for single-phase PV systems based on deadbeat control. In Power Electronics, Machines and Drives (PEMD 2012), 6th IET International Conference on (pp. 1-5). IET.

[13] Wai, R. J., Wang, W. H., & Lin, C. Y. (2008). High-performance stand-alone photovoltaic generation system. Industrial Electronics, IEEE Transactions on,55(1), 240-250.

[14] Koutroulis, E., Kalaitzakis, K., & Voulgaris, N. C. (2001). Development of a microcontrollerbased, photovoltaic maximum power point tracking control system. Power Electronics, IEEE Transactions on, 16(1), 46-54.

[15] Xiao, W., & Dunford, W. G. (2004, June). A modified adaptive hill climbing MPPT method for photovoltaic power systems. In Power Electronics Specialists Conference, 2004. PESC 04. 2004 IEEE 35th Annual (Vol. 3, pp. 1957-1963). Ieee.

[16] Kwon, J. M., Kwon, B. H., & Nam, K. H. (2008). Three-phase photovoltaic system with three-level boosting MPPT control. Power Electronics, IEEE Transactions on, 23(5), 2319-2327.

[17] Pandey, A., Dasgupta, N., & Mukerjee, A. K. (2008). High-performance algorithms for drift avoidance and fast tracking in solar MPPT system. Energy Conversion, IEEE Transactions on, 23(2), 681-689.

[18] Salas, V., Olias, E., Barrado, A., & Lazaro, A. (2006). Review of the maximum power point tracking algorithms for stand-alone photovoltaic systems. Solar energy materials and solar cells, 90(11), 1555-1578.

[19] Hussein, K. H., Muta, I., Hoshino, T., & Osakada, M. (1995, January). Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. In Generation, Transmission and Distribution, IEE Proceedings- (Vol. 142, No. 1, pp. 59-64). IET.

[20] Safari, A., & Mekhilef, S. (2011). Simulation and hardware implementation of incremental conductance MPPT with direct control method using cuk converter. Industrial Electronics, IEEE Transactions on, 58(4), 1154-1161.

[21] Ahmed, E. M., & Shoyama, M. (2011, March). Single variable based variable step size maximum power point tracker for stand-alone battery storage PV systems. In Industrial Technology (ICIT), 2011 IEEE International Conference on (pp. 210-216). IEEE.

[22] Colak, I., Kabalci, E., Bayindir, R., & Sagiroglu, S. (2009, March). The design and analysis of a 5-level cascaded voltage source inverter with low THD. InPower Engineering, Energy and Electrical Drives, 2009. POWERENG’09. International Conference on (pp. 575-580). IEEE.

[23] Jiang, Y., &Abu Qahouq, J. A. (2012). Singlesensor multi-channel maximum power point tracking controller for photovoltaic solar systems. Power Electronics, IET, 5(8), 1581-1592.

[24] Jiang, Y., Qahouq, J. A. A., &Haskew, T. A. (2013). Adaptive step size with adaptiveperturbation-frequency digital MPPT controller for a single-sensor photovoltaic solar system. Power Electronics, IEEE Transactions on, 28(7), 3195- 3205.

[25] Abdourraziq, M. A., Ouassaid, M., & Maaroufi, M. (2014, November). Comparative study of MPPT using variable step size for photovoltaic systems. In Complex Systems (WCCS), 2014 Second World Conference on (pp. 374-379). IEEE.

[26] Abdourraziq, M. A., Ouassaid, M., Maaroufi, M., & Abdourraziq, S. (2013, October). Modified P&O MPPT technique for photovoltaic systems. In Renewable Energy Research and Applications (ICRERA), 2013 International Conference on (pp. 728-733).

[27] Abdourraziq, M. A., Ouassaid, M., & Maaroufi, M. (2014, October). A fuzzy logic MPPT for photovoltaic systems using single sensor. In Renewable and Sustainable Energy Conference (IRSEC), 2014 International (pp. 52-56). IEEE.

[28] Zhou, Z., Holland, P. M., &Igic, P. (2014). MPPT algorithm test on a photovoltaic emulating system constructed by a DC power supply and an indoor solar panel. Energy Conversion and Management, 85, 460-469.