Research and Simulation of Photovoltaic System MPPT Control Based on Fuzzy Algorithm

Abstract:

The maximum power point tracking (MPPT) control implements an effective utilization of solar energy. On the basis of the equivalent mathematical model of the photovoltaic (PV) array, presents the fixed step size perturbation and observation method, which has considerable power loss and poor adaptability. Because the existing variable step size control is complex, a fuzzy algorithm controller was designed according to the power variation and the previous step of the duty cycle, which could adjust the duty cycle of PWM dynamically, to make the PV system impedance matching and obtain the maximum power rapidly and steadily. The simulation shows that the self-optimizing fuzzy control can achieve good adaptability and good robustness when the parameters change.

• Periodical: Advanced Materials Research (Volume 740)
• Pages: 164-169
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.740.164
• Online since: August 2013
• Authors: Li Ping Zhang, Yao Fu Zhu, Zhong Fan
• Keywords: Fuzzy Algorithm, Maximum Power Point Tracking (MPPT), Photovoltaic (PV) Array

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