Journal of Electrical Engineering and Automation
IRO Journals
Volume 3 — Issue 4 — December 2021

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions

https://doi.org/10.36548/jeea.2021.4.001
Zhang Yan
Power Electronics and Power Drives, Liaoning University of Technology, China
Wang Ya-Jun
Professor, Department of Electronic and Information Engineering, Liaoning University of Technology, China
Chang Jia-Bao
Liaoning University of Technology, Electronics and Communication Engineering, China
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How to Cite

Yan, Zhang, Wang Ya-Jun, and Chang Jia-Bao. 2021. “A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions”. Journal of Electrical Engineering and Automation 3 (4): 246-64. https://doi.org/10.36548/jeea.2021.4.001.
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Keywords

— MPPT
— photovoltaic power generation
— maximum power tracing
— fuzzy control
— Boost
Published: 22-11-2021

Abstract

The paper aims at the incompatibility between the speed and stability of the traditional MPPT algorithm and the imprecise search of the fuzzy control algorithm. An improved photovoltaic adaptive fuzzy control MPPT algorithm is proposed in this thesis. The solar irradiance changes dramatically and hence four kinds of fuzzy control algorithms with different input are modeled and simulated. The results indicate that the proposed fuzzy control algorithm using slope and slope change rate of P-U curve as input is the best. On this basis, dP/dU and duty cycle D(n-1) at n-1 moment are used as input to improve the tracking speed and optimal range. At the same time using shrinkage factor 1/I*|dP/dU| real-time adjustment of D(n-1) further shortens the optimal time of the algorithm. The algorithm is simulated and applied in a block. Simulation results show that the proposed algorithm is superior to the fuzzy control algorithm in steady-state oscillation rate, tracking speed and efficiency, and the algorithm is simple and easy to implement.

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