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http://dx.doi.org/10.5762/KAIS.2020.21.10.291

Performance Analysis of MPPT Techniques Based on Fuzzy Logic and P&O Algorithm in Actual Weather Environment  

Eom, Hyun-Sang (Department of Mechanical and Control Engineering, Handong Global University)
Yang, Hye-Ji (Department of Mechanical and Control Engineering, Handong Global University)
An, Hyun-Jun (Department of Mechanical and Control Engineering, Handong Global University)
Kwon, Youngsung (Department of Mechanical and Control Engineering, Handong Global University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.10, 2020 , pp. 291-298 More about this Journal
Abstract
The power generation of a PV system changes according to the weather variables, such as solar radiation and temperature. In particular, the output characteristics of photovoltaic systems, which are sensitive to changes in solar radiation, can be produced effectively and reliably in various weather conditions through MPPT (Maximum Power Point Tracking) control. This paper proposes a fuzzy-based MPPT control method to improve the efficiency and stability of the power production from a solar system. To verify the performance of the proposed method, under the same weather environment, the efficiency and stability of the newly proposed fuzzy logic were compared and evaluated empirically with P&O (Perturb and Observe), a representative algorithm of MPPT control. Furthermore, the circuits designed to improve the reliability and reliability of the hardware were manufactured from Printed Circuit Boards (PCB) to conduct experiments. Based on the results of the experiment during a certain period, the fuzzy-based MPPT proposed in this paper improved the efficiency by more than 4.4% compared to the MPPT based on the existing P&O algorithm and decreased the fluctuation width by more than 39.7% at the maximum power point.
Keywords
MPPT; Perturb and Observation; Fuzzy Logic; Efficiency; Fluctuation; PCB;
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