Research on Grid-Connected Photovoltaic Generation System Based on Novel MPPT

Abstract:

With the rapid economic development and the increasing energy demand, solar energy as an important part of the renewable energy is taking more and more attention. In this paper, photovoltaic maximum power control strategies have been studied in this context, and MPPT method based on fuzzy variable step is proposed, it makes up the inadequate of traditional methods like perturbation observation method, incremental conductance method, intermittent scanning method and the constant voltage method. Build photovoltaic physics experiment platform, preparation of a variable step size control to achieve program, and simulation and experimental verification that the method can fast-track the changes in the weather, achieve MPPT, it has excellent dynamic and steady-state performance.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 1863-1867
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.1863
• Online since: September 2013
• Authors: Hong Mei Wu, Chu Cao
• Keywords: Maximum Power Point Track (MPPT), Physics Experiments, Variable Step Fuzzy Algorithm

References

[1] Yu Jing, Che Jun-tie, Zhang Ji-yue. The overview of the technique of solar energy generating electricity[J]. World sci-tech R&D, 2008, 2008, 30(1): 56-59, in Chinese.

[2] Liu Bang-yin, Duan Shan-xu, Liu Fei, et cl. Photovoltaic array maximum power point tracking based on improved perturbation and observation method[J]. transaction of China electrotechnical society, 2009, 24(6): 91-94.

[3] Xiao Weidong, Dunford W G. A Modified Adaptive Hill Climbing MPPT Method for Photovoltaic Power Systems[A]. 2004 35th Annual IEEE Power Electronics Specialists Conference[C]. Aachen, Germany: IEEE, 2004: 1957-(1963).

DOI: 10.1109/pesc.2004.1355417

[4] E. koutroulis, K. Kalaitzakis, N. Voulgaris. Development of a Microcontroller Based Photovoltaic Maximum Power Point Tracking Control System[J]. IEEE Transactions on Power Electronics, 16(1), 2001, pp.46-54.

DOI: 10.1109/63.903988

[5] Dong Mi, Yang Jian, Peng Ke, et cl. Zero average incremental conductance maximum power point tracking control for photovoltaic system[J]. Proceedings of the CSEE, 2010, 30(21): 48-53.

[6] Yang Hai-zhu, Jin Xin-min. Research on improved measure of MPPT control and its experiment in a grid-connected photovoltaic system[J]. Advanced technology of electrical engineering and energy, 2006, 25(1) : 63-67.

[7] Udayakumar R. Yaragatti, Anantha Naik Rajkiran Ballal C. Shreesha. A Novel Method of Fuzzy Controlled Maximum Power Point Tracking in Photovoltaic Systems[C] IEEE International conference on Industrial technology, 2005, 1421-1426.

DOI: 10.1109/icit.2005.1600858

[8] Li Jin, Dou Wei, Xu Zheng-guo, et cl. Research on MPPT methods of photovoltaic power generation system[J]. ACTA energiae sinica, 2007, 28(3)：268-273.

[9] Cui Yan, Cai Bing-huang, Li Da-yong, et cl. Compartive studies on the MPPT control algorithms of solar energy photovoltaic system[J]. ACTA energiae sinica, 2006, 27(6): 535-539.

[10] Mummadi Veerachary, Tomonobu Senjyu, and Katsumi Uezato. Neural Network Based Maximum Power Point Tracking of Coupled Inductor Interleaved Boost Converter Supplied PV System Using Fuzzy Controller [J]. IEEE Transactions on Industrial Electronics, Vol. 50, No. 4, pp.749-758, August (2003).

DOI: 10.1109/tie.2003.814762