MPPT Strategy of PV System Based on Adaptive Fuzzy Control

Abstract:

In order to use photovoltaic cell effectively and improve its photoelectric conversion efficiency, the maximum power point of photovoltaic generation system should be tracked rapidly and stably [1]. Taking into account the solar PV systems are often affected by external factors,it is difficult to determine system parameters, and has a strong non-linear,so this paper,a adaptive fuzzy logic control technology for STP0950S-36 type of independent photovoltaic systems to a adaptive fuzzy controller design method, and using MATLAB/SIMULINK,fuzzy logic toolbox for simulation tools such as maximum power point control,adaptive fuzzy control simulation results of MPPT with fixed step method compared to fixed-step method was found to reach steady there is a certain state after the fluctuation,The results show that the method can quickly and correctly track change of MPP in different light intensity and the system has excellent stability performance.

• Periodical: Advanced Materials Research (Volumes 1008-1009)
• Pages: 63-67
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1008-1009.63
• Online since: August 2014
• Authors: Jia Yuan, Yu Jiang Wang, Jing Hong Cui, Hui Li Zheng, Liu Bin, Zhi Ping Shen, Fei Fei Jiang
• Keywords: Adaptive Fuzzy Control, Boost Circuit, Maximum Power Point Tracking, Photovoltaic System

References

[1] N Patcharaprakiti，S Premrudeepreechacharn，Y Sriuthaisiriwong. Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system[J]．Renewable energy，2005(30)：1771-1788.

DOI: 10.1016/j.renene.2004.11.018

[2] Tsai-Fu Wu，Chien-Hsuang Chang，Yu-Hai Chen．A fuzzy logic controlled single-stage converter for PV-powered lighting system applications[J]．IEEE Transactions on Industrial Electronics，2009，47(2)：287-296.

DOI: 10.1109/41.836344

[3] Simoes MG，Franceschetti NN．Fuzzy optimization based control of photovoltaic arrays[J]. IEEE Proc Electric Power Appl 1999，146(5): 552-558.

[4] Langari G，Tomizuka M．Selforganizing. Fuzzy linguistic control with application to arc welding[J]．IN：Proceedings of the IEEE InternationalWorkshop on Intelligent Robots and Systems. Tsuchiura-shi，Japan，2010：1007-1014.

DOI: 10.1109/iros.1990.262528

[5] Kairui Cao，Jiaqi Liu，Xianlin Wang. Stability analysis of T-S fuzzy control systems with interval plants [J]. Journal of Harbin Institute of Technology，2012. 1.

[6] Simoes MG，Franceschetti NN，Friedhofer M．Fuzzy logic based photovoltaic peak power tracking control[J]．Proc IEEE Conf International Symposium on Industrial Electronics，Pretoria, 2009：300-305.

DOI: 10.1109/isie.1998.707796

[7] Eftichios Koutroulisal，Development of a Microcontranller Based Photovoltaic Maximum Power Point Tracking Control System[J]，IEEE Trans Power Electonics，2010，16(1)：46-54.