2020 VOL.3 Feb No.1

• Title: Research on control algorithm of photovoltaic grid-connected inverter based on fuzzy logic
• Name: Mikhail Alshayeb
• Company: Stenden University of Applied Sciences
• Abstract:

  Under the control of three commonly used algorithms: disturbance observation method, incremental conductance method, and constant voltage tracking method, photovoltaic grid-connected inverters have low conversion efficiency. Based on this, a control algorithm for photovoltaic grid-connected inverters based on fuzzy logic is studied. First analyze the principle of fuzzy logic control, and then study its control process, including fuzzy controller structure design, fuzzification processing, determination of membership function, determination of fuzzy control rules, defuzzification, and selection of quantization factors and scale factors. Finally, the application test was performed on the Matlab simulation platform, and the results showed that under the control of this algorithm, the efficiency of photovoltaic grid-connected inverters increased by 6.1%, 10.1%, and 16.2%.

• Keyword: Fuzzy Logic; Photovoltaic Grid-Connected Inverter; Control Algorithm
• DOI: 10.12250/jpciams2020010126
• Citation form: Mikhail Alshayeb.Research on control algorithm of photovoltaic grid-connected inverter based on fuzzy logic[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 66-71.

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