References

Ahmed, E.M. and M. Shoyama, 2011. Stability study of variable step size incremental conductance/impedance MPPT for PV systems. Proceedings of the IEEE 8th International Conference on Power Electronics and ECCE Asia (ICPE & ECCE), May 31-June 3, 2011, IEEE, New York, USA., ISBN:978-1-61284-957-7, pp: 386-392.

Askarzadeh, A. and A. Rezazadeh, 2013. Artificial bee swarm optimization algorithm for parameters identification of solar cell models. Appl. Energy, 102: 943-949.
Direct Link  |  

Cha, H. and S. Lee, 2008. Design and implementation of photovoltaic power conditioning system using a current based maximum power point tracking. Proceedings of the Conference on Industry Applications Society Annual Meeting, October 5-9, 2008, IEEE, New York, USA., ISBN:978-1-4244-2278-4, pp: 1-5.

Erickson, R.W., 1997. Steady-State Equivalent Circuit Modeling, Losses and Efficiency. In: Fundamentals of Power Electronics, Robert, W.E. (Ed.). Springer, Berlin, Germany, ISBN:978-1-4615-7646-4, pp: 40-61.

Farhat, M. and L. Sbita, 2011. Advanced fuzzy MPPT control algorithm for photovoltaic systems. Sci. Acad. Trans. Renewable Energy Syst. Eng. Technol., 1: 29-36.

Golder, A.S., 2006. Photovoltaic generator modeling for Large Scale distribution system Studies. Ph.D Thesis, Drexel University, Philadelphia, Pennsylvania.

Hajighorbani, S., M.A.M. Radzi, M.Z.A.A. Kadir, S. Shafie and R. Khanaki et al., 2014. Evaluation of fuzzy logic subsets effects on maximum power point tracking for photovoltaic system. Intl. J. Photoenergy, 2014: 1-13.
Direct Link  |  

Houssamo, I., F. Locment and M. Sechilariu, 2010. Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms. Renewable Energy, 35: 2381-2387.
Direct Link  |  

Jordehi, A.R., 2014. A chaotic-based big bang-big crunch algorithm for solving global optimisation problems. Neural Comput. Appl., 25: 1329-1335.
CrossRef  |  Direct Link  |  

Jordehi, A.R., 2015. Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems. Intl. J. Electr. Power Energy Syst., 69: 48-57.
Direct Link  |  

Jordehi, A.R., 2015. Enhanced leader PSO (ELPSO): A new PSO variant for solving global optimisation problems. Appl. Soft Comput., 26: 401-417.
Direct Link  |  

Jordehi, A.R., J. Jasni, N.A. Wahab, M.Z. Kadir and M.S. Javadi, 2015. Enhanced leader PSO (ELPSO): A new algorithm for allocating distributed TCSC`s in power systems International Journal of Electrical Power & Energy Syst., 64: 771-784.
CrossRef  |  Direct Link  |  

Kumar, S.S., G. Dharmireddy, P. Raja and S. Moorthi, 2011. A voltage controller in photo-voltaic system without battery storage for stand-alone applications. Proceedings of the International Conference on Electrical, Control and Computer Engineering (INECCE), June 21-22, 2011, IEEE, New York, USA., ISBN:978-1-61284-230-1, pp: 269-274.

Leyva, R., C. Alonso, I. Queinnec, A.C. Pastor and Lagrange et al., 2006. MPPT of photovoltaic systems using extremum-seeking control. IEEE. Trans. Aerosp. Electron. Syst., 42: 249-258.
CrossRef  |  Direct Link  |  

Mellit, A., S.A. Kalogirou, L. Hontoria and S. Shaari, 2009. Artificial intelligence techniques for sizing photovoltaic systems: A review. Renewable Sustainable Energy Rev., 13: 406-419.
Direct Link  |  

Mohamed, A., M. Elshaer and O. Mohammed, 2012. Control enhancement of power conditioning units for high quality PV systems. Electr. Power Syst. Res., 90: 30-41.
Direct Link  |  

Mohammed, S., 2011. El-moghany, sun and maximum power point tracking in solar array systems using fuzzy controllers via FPGA. Master Thesis, Islamic University-Gaza, Gaza, USA.

Negnevitsky, M., 2005. Artificial Intelligence: A Guide to Intelligent Systems: Accelerated Learning in Multilayer Neural Network. 2nd Edn., Addison Wesley, Harlow, England, ISBN-13: 9780321204660, pp:185-188.

Ngan, M.S. and C.W. Tan, 2011. A study of maximum power point tracking algorithms for stand-alone photovoltaic systems. Proceedings of the Conference on Applied Power Electronics Colloquium (IAPEC), April 18-19, 2011, IEEE, New York, USA., ISBN:978-1-4577-0008-8, pp: 22-27.

Pandey, A., N. Dasgupta and A.K. Mukerjee, 2008. High-performance algorithms for drift avoidance and fast tracking in solar MPPT system. IEEE. Trans. Energy Convers., 23: 681-689.
CrossRef  |  Direct Link  |  

Putri, R.I. and M. Rifai, 2012. Maximum power point tracking control for photovoltaic system using neural fuzzy. Intl. J. Comput. Electr. Eng., 4: 75-81.
Direct Link  |  

Ramaprabha, R. and B.L. Mathur, 2011. Intelligent controller based maximum power point tracking for solar PV system. Int. J. Computer Appl., 12: 37-41.
Direct Link  |  

Ramaprabha, R., M. Balaji and B.L. Mathur, 2012. Maximum power point tracking of partially shaded solar PV system using modified Fibonacci search method with fuzzy controller. Intl. J. Electr. Power Energy Syst., 43: 754-765.
Direct Link  |  

Samrat, N.H., N.B. Ahmad, I.A. Choudhury and Z.B. Taha, 2014. Modeling, control and simulation of battery storage photovoltaic-wave energy hybrid renewable power generation systems for island electrification in Malaysia. Sci. World J., 2014: 1-21.
Direct Link  |  

Santos, J.L., F. Antunes, A. Chehab and C. Cruz, 2006. A maximum power point tracker for PV systems using a high performance boost converter. Solar Energy, 80: 772-778.
Direct Link  |  

Sera, D., 2009. Real-Time Modelling, Diagnostics and Optimised MPPT for Residential PV Systems. Aalborg University, Aalborg, Denmark,.

Veerachary, M., T. Senjyu and K. Uezato, 2002. Voltage-based maximum power point tracking control of PV system. IEEE. Trans. Aerosp. Electron. Syst., 38: 262-270.
CrossRef  |  Direct Link  |  

Veerachary, M., T. Senjyu and K. Uezato, 2003. Neural-network-based maximum-power-point tracking of coupled-inductor interleaved-boost-converter-supplied PV system using fuzzy controller. IEEE. Trans. Ind. Electron., 50: 749-758.
CrossRef  |  Direct Link  |  

Zegaoui, A., M. Aillerie, P. Petit, J.P. Sawicki and A. Jaafar et al., 2011. Comparison of two common maximum power point trackers by simulating of PV generators. Energy Procedia, 6: 678-687.
CrossRef  |  Direct Link  |