Title: Simulation of photovoltaic system's artificial intelligence control or based on fuzzy perturbation algorithms

Authors: Liming Wei; Kaikai Li; Yangyun Wu

Addresses: School of Electrical and Computer Engineering, Jilin Jianzhu University, Changchun, Jilin, China ' School of Electrical and Computer Engineering, Jilin Jianzhu University, Changchun, Jilin, China ' School of Electrical and Computer Engineering, Jilin Jianzhu University, Changchun, Jilin, China

Abstract: Solar energy is popular because it is clean and no pollution. However, solar power generation's efficiency restricts the development of photovoltaic industry. To improve this problem, the research of Maximum Power Point Tracking (MPPT) algorithm is discussed by scholars. The paper proposes an artificial intelligence algorithm that is composed of fuzzy logic and perturbation observation method, so as to achieve the goal of MPPT. In the process of approaching the maximum power point, the optimal variable-step's size at each moment is adjusted by fuzzy controller that can imitate human's brain. The simulation is carried out in Matlab/Simulink and compared with the traditional perturbation observation algorithm. The result shows that the power loss of artificial intelligence algorithm is significantly less than that of the traditional algorithm, and its strain ability is stronger when the environment changes abruptly, and the time to reach the maximum power point is effectively reduced.

Keywords: photovoltaic system; MPPT; fuzzy perturbation algorithm; perturbation observation.

DOI: 10.1504/IJCAT.2022.129892

International Journal of Computer Applications in Technology, 2022 Vol.70 No.1, pp.22 - 31

Received: 25 Oct 2021
Accepted: 08 Feb 2022
Published online: 03 Apr 2023 *

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