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 and Zheng Qiao
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Miao Zhang: School of Automation & Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
Keyu Zhuang: School of Automation & Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
Tong Zhao: School of Automation & Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
Jingze Xue: School of Automation & Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
Yunlong Gao: School of Automation & Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
Shuai Cui: School of Automation & Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China
Zheng Qiao: School of Automation & Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, China

Energies, 2022, vol. 15, issue 23, 1-19

Abstract: 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.

Keywords: PV system; MPPT; adaptive control; LADRC; PSO (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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