






Vol.4 , No. 4, Publication Date: Jan. 8, 2018, Page: 37-39
[1] | Amal M. A. Kadhim, Technical Institute of Babylon, Al-Furat Al-Awsat Technical University, Kufa, Iraq. |
Maximum power point tracking MPPT is an electronic DC to DC converter for optimizing the interfacing between solar energy with battery system. The main weakness of MPPT is that it is slow response. To reduce this problem, the proposed proportional- derivative PD controller with MPPT is used to optimize the whole system. The aims of PD controller are to decrease the rise time, minimize the overshoot, and improve the stability of system. This new approach of MPPT with solar energy based on two PD controllers is designed and executed using Matlab- Simulink with Toolbox. The simulation results illustrate that the system with PD controller is more accuracy with better performance over the traditional MPPT.
Keywords
Two PD Controllers, MPPT System, Solar Energy
Reference
[01] | Karami, N.; Moubayed, N.; Outbib, R. General review and classification of different {MPPT} Techniques. Renew. Sustain. Energy Rev. 2017, 68, 1-18. |
[02] | Masoum, M. A. S.; Dehbonei, H.; Fuchs, E. F. Theoretical and experimental analyses of photovoltaic systems with voltage- and current-based maximum power-point tracking. IEEE Trans. Energy Convers. 2002, 17, 514-522. |
[03] | Schoeman, J. J.; Wyk, J. D. A simplified maximal power controller for terrestrial photovoltaic panel arrays. In Proceedings of the Power Electronics Specialists Conference, Cambridge, MA, USA, 14–17 June 1982; pp. 361-367. |
[04] | Yamashita, H.; Tamahashi, K.; Michihira, M.; Tsuyoshi, A.; Amako, K.; Park, M. A novel simulation technique of the PV generation system using real weather conditions. In Proceedings of the Power Conversion Conference, Osaka, Japan, 2–5 April 2002; Volume 2, pp. 839-844. |
[05] | Pan, C. T.; Chen, J. Y.; Chu, C. P.; Huang, Y. S. A fast maximum power point tracker for photovoltaic power systems. In Proceedings of the 25th Annual Conference of the IEEE Industrial Electronics Society, San Jose, CA, USA, 29 November–3 December 1999; pp. 390-393. |
[06] | Mulmule, A.; Vatti, R.; Porwal, P. MPPT Technique to improve efficiency in wind-solar hybrid system. Int. J. Electr. Eng. Technol. 2013, 4, 74-82. |
[07] | Femia, N.; Petrone, G.; Spagnuolo, G.; Vitelli, M. Optimization of perturb and observe maximum power point tracking method. IEEE Trans. Power Electron. 2005, 20, 963-973. |
[08] | Piegari, L.; Rizzo, R. Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking. IET Renew. Power Gener. 2010, 4, 317-328. |
[09] | Kazan, F.; Karaki, S.; Jabr, R.; Mansour, M. Maximum power point tracking using ripple correlation and incremental conductance. In Proceedings of the 47th International Universities Power Engineering Conference (UPEC), London, UK, 4–7 September 2012; pp. 1-6. |
[10] | Kish, G.; Lee, J.; Lehn, P. Modelling and control of photovoltaic panels utilising the incremental conductance method for maximum power point tracking. IET Renew. Power Gener. 2012, 6, 259. |
[11] | Messalti, S.; Harrag, A.; Loukriz, A. A new variable step size neural networks {MPPT} controller: Review, simulation and hardware implementation. Renew. Sustain. Energy Rev. 2017, 68, 221-233. |
[12] | Bahgat, A.; Helwa, N.; Ahmad, G.; Shenawy, E. E. Maximum power point traking controller for {PV} systems using neural networks. Renew. Energy 2005, 30, 1257-1268. |
[13] | Kang, S.; Ko, J.; Choi, J.; Jang, M.; Mun, J.; Lee, J.; Chung, D. A Novel MPPT Control of photovoltaic system using FLC algorithm. In Proceedings of the 2011 11th International Conference on Control, Automation and Systems (ICCAS), Gyeonggi-do, Korea, 26–29 October 2011; pp. 434-439. |
[14] | Liu, Y. H.; Liu, C. L.; Huang, J. W.; Chen, J. H. Neural-network-based maximum power point tracking methods for photovoltaic systems operating under fast changing environments. Solar Energy 2013, 89, 42-53. |
[15] | Mellit, A.; Kalogirou, S. A. MPPT-based artificial intelligence techniques for photovoltaic systems and its implementation into field programmable gate array chips: Review of current status and future perspectives. Energy 2014, 70, 1-21. |
[16] | Veerachary, M.; Yadaiah, N. ANN based peak power tracking for PV supplied DC motors. Solar Energy 2000, 69, 343-350. |
[17] | Adly, M.; Besheer, A. A meta-heuristics search algorithm as a solution for energy transfer maximization in stand-alone photovoltaic systems. Int. J. Electr. Power Energy Syst. 2013, 51, 243-254. |
[18] | Chiu, C. T-S Fuzzy Maximum Power Point Tracking Control of Solar Power Generation Systems. IEEE Trans. Energy Convers. 2010, 25, 1123-1132. |
[19] | Larbes, C.; Cheikh, S. A.; Obeidi, T.; Zerguerras, A. Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system. Renew. Energy 2009, 34, 2093-2100. |
[20] | Liu, C. L.; Chen, J. H.; Liu, Y. H.; Yang, Z. Z. An Asymmetrical Fuzzy-Logic-Control-Based MPPT Algorithm for Photovoltaic Systems. Energies 2014, 7, 2177. |
[21] | Salah, C. B.; Ouali, M. Comparison of fuzzy logic and neural network in maximum power point tracker for {PV} systems. Electr. Power Syst. Res. 2011, 81, 43-50. |
[22] | Jouda, A.; Elyes, F.; Rabhi, A.; Abdelkader, M. Optimization of Scaling Factors of Fuzzy—MPPT Controller for Stand-alone Photovoltaic System by Particle Swarm Optimization. Energy Procedia 2017, 111, 954-963. |
[23] | Chowdhury, S. R.; Saha, H. Maximum power point tracking of partially shaded solar photovoltaic arrays. Solar Energy Mater. Solar Cells 2010, 94, 1441-1447. |
[24] | Esram, T.; Chapman, P. L. Comparison of photovoltaic array maximum power point tracking techniques. IEEE Trans. Energy Convers. 2007, 22, 439-449. |
[25] | Amine, H. M.; Abdelaziz, H.; Najib, E. Maximum Power Point Tracking Using IT2FL Tuned with GA. Energy Procedia 2015, 83, 399-407. |