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Original scientific paper

https://doi.org/10.17559/TV-20250929003032

Concise Arithmetic Optimization-Based PI Control for Robust Maximum Power Point Tracking in Photovoltaic Systems

Renyu Yang ; Guangdong University of Finance & Economics, Guangzhou 510320, China
Ling Zhang ; Guangzhou Vocational College of Technology & Business, Guangzhou 511442, China
Guilian Chen ; Jinan University, Guangzhou 510632, China
Qidong Huang ; Jinan University, Guangzhou 510632, China
Weixiong Gao ; Jinan University, Guangzhou 510632, China
Lixing Hou ; Guangdong University of Finance & Economics, Guangzhou 510320, China
Yitao Chen ; Guangdong University of Finance & Economics, Guangzhou 510320, China
Xiaodong Zhang ; Guangdong University of Finance & Economics, Guangzhou 510320, China
Renhuan Yang ; Jinan University, Guangzhou 510632, China *
Lixin Chen ; Guangdong University of Finance & Economics, Guangzhou 510320, China *

* Corresponding author.


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Abstract

Accurate and fast maximum power point tracking (MPPT) is essential for maintaining optimal performance in photovoltaic systems operating under rapidly changing irradiance levels and multi-peak power-voltage characteristics. Traditional MPPT methods often exhibit slow response, poor adaptability, and limited accuracy in dynamic environments. To address these challenges, this study proposes a Concise Arithmetic Optimization Algorithm integrated with a Proportional-Integral controller (CAOA&PI). A simplified PV model is established, and a CAOA is designed to generate optimal voltage references with reduced computational complexity while maintaining a balance between exploration and exploitation. Experimental results from 30 repeated experiments under single-peak and multi-peak operating conditions demonstrate that the CAOA&PI controller achieves faster convergence, smaller steady-state deviation, and enhanced stability compared with conventional constant voltage tracking (CVT), perturbation and observation (P&O), and incremental conductance (INC) algorithms. These findings confirm that CAOA&PI offers an effective and robust MPPT solution for photovoltaic systems operating in dynamic environments.

Keywords

arithmetic optimization; maximum power point tracking; meta-heuristic algorithms; multi-peak output; photovoltaic power generation systems

Hrčak ID:

350433

URI

https://hrcak.srce.hr/350433

Publication date:

31.8.2026.

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