Design of Fuzzy Slip Mode Controller Based On Particle Swarm Algorithm to Track The Maximum Power Point In Photovoltaic System

Document Type : Original Article

Authors

20.1001.1.27174409.1399.3.1.9.4/DOR

Abstract

The pursuit of maximum power point (MPP) in solar panels to improve the utilization of solar energy as a new and clean energy source, is of interest to researchers. PV system this article includes PV plate, DC / DC boost converter and load resistance. The idea of ​​MPPT (MPPT control) MPP is a regulator of backward sliding mode based on a two-loop method: the first loop for MPP search and the second loop for tracking. By zeroing the power of the PV system relative to its current, MPP was found and Voltage in MPP The reference voltage is obtained, the performance of this controller is improved using fuzzy logic, and the particle swarm optimization (PSO) algorithm is used to minimize the average power difference between the PV system and the maximum power to determine its parameters. Since MPPs change with temperature and solar radiation, the performance of the proposed control scheme for temperature and solar radiation changes is evaluated. The quantitative and qualitative results of the simulation show the effective performance of the proposed method. Normal working conditions confirm the robustness of the proposed control scheme

Keywords

References

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  • Receive Date: 04 February 2020
  • Accept Date: 01 February 2021

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