Energies (Nov 2022)

MPPT Control Algorithm Based on Particle Swarm Optimization and Adaptive Linear Active Disturbance Rejection Control

  • Miao Zhang,
  • Keyu Zhuang,
  • Tong Zhao,
  • Jingze Xue,
  • Yunlong Gao,
  • Shuai Cui,
  • Zheng Qiao

DOI
https://doi.org/10.3390/en15239091
Journal volume & issue
Vol. 15, no. 23
p. 9091

Abstract

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Aiming at the problem of maximum power point tracking (MPPT) of photovoltaic arrays in photovoltaic power generation systems, a particle swarm optimization (PSO) MPPT method combined with adaptive linear active disturbance rejection control (A-LADRC) algorithm was proposed and designed. In this method, PSO is used to track the maximum power point (MPP), and then the A-LADRC controller was used to track the reference voltage. The controller enhances the anti-interference ability against various external disturbances in the MPPT process and accelerates the response speed of the system. Compared with the perturbation observation method (P&O), traditional PSO and LADRC, the proposed method has good tracking performance and an anti-interference ability under various external disturbances.

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