DESIGN OF A PHOTOVOLTAIC TRACKING SYSTEM CONTROL SYSTEM
Volume 7, Issue 6, Pp 61-65, 2025
DOI: https://doi.org/10.61784/jcsee3090
Author(s)
MingMao Gong*, XingHui Liu
Affiliation(s)
School of Electronic Information Engineering, Sichuan Technology and Business University, Chengdu 611745, Sichuan, China.
Corresponding Author
MingMao Gong
ABSTRACT
With the continuous advancement of the "dual carbon" goals, improving the efficiency of solar energy utilization and reducing the cost of power generation have become key directions for technological innovation in the photovoltaic industry. This paper, starting from practical application needs, designs a photovoltaic tracking support system based on the CH31. The system is built on the Alibaba Cloud IoT platform, combined with 4G wireless communication technology, and uses the MQTT communication protocol to complete data upload and command download. The system integrates tilt sensors, light sensors, wind speed and direction sensors, and rain and snow sensors, and uses GPS to obtain longitude and latitude and RTC time. Using astronomical algorithms, the system achieves forward and reverse tracking of the photovoltaic system. To facilitate user management, the system includes a manual mode, which allows for the adjustment of the photovoltaic panel tilt angle through buttons or the cloud, at which point the tracking function is disabled. Combined with meteorological sensors, when extreme weather is detected, the photovoltaic panel is set to a fixed tilt angle mode to achieve self-protection.
KEYWORDS
CH32; Photovoltaic tracking system; MQTT; Astronomical algorithm
CITE THIS PAPER
MingMao Gong, XingHui Liu. Design of a photovoltaic tracking system control system. Journal of Computer Science and Electrical Engineering. 2025, 7(6): 61-65. DOI: https://doi.org/10.61784/jcsee3090.
REFERENCES
[1] Akpinar E, Katircioglu G G, Das M. Effects of Solar Tracking on Different Types of Solar Panels; Experimental Study for Thermal and Photovoltaic Types. International Journal of Hydrogen Energy, 2025, 144, 611-620.
[2] Chiteka K, Arora R, Sridhara S N, et al. Influence of Irradiance Incidence Angle and Installation Configuration on the Deposition of Dust and Dust-Shading of a Photovoltaic Array. Energy, 2021, 216, 119289. DOI: https://doi.org/10.1016/j.energy.2020.119289.
[3] Wang L, Li R, Dou H, et al. Flat Single Axis Photovoltaic Tracking Bracket - Basic Load Characteristics and Optimization Design. Acta Energiae Solaris Sinica, 2024, 45(10): 345-353.
[4] Fedenko V, Dzundza B, Pavlyuk M, et al. Design of a Complex Dual-Axis Solar Tracker with an Integrated Solar PV Monitoring System. Eastern-European Journal of Enterprise Technologies, 2025, 3(8): 6-13.
[5] Barrios Sánchez J M, Tlapanco Ríos E I. Dual-Axis Solar Tracking System for Enhanced Photovoltaic Efficiency in Tropical Climates. Sustainability, 2025, 17(3): 1117-1117.
[6] Aguila-Leon J, Vargas-Salgado C, Chinas-Palacios C, et al. Solar Photovoltaic Maximum Power Point Tracking Controller Optimization Using Grey Wolf Optimizer: A Performance Comparison Between Bio-Inspired and Traditional Algorithms. Expert Systems With Applications, 2023, 211, 118700. DOI: https://doi.org/10.1016/j.eswa.2022.118700.
[7] Samosir A S, Gusmedi H, Purwiyanti S, et al. Modeling and Simulation of Fuzzy Logic Based Maximum Power Point Tracking (MPPT) for PV Application. International Journal of Electrical and Computer Engineering (IJECE), 2018, 8(3): 1315-1323. DOI: 10.11591/ijece.v8i3.pp1315-1323.
[8] Du L, Ma X, Liu Z, et al. Photovoltaic Dual Axis Tracking System Based on Microcontroller. Journal of Yunnan Normal University (Natural Science Edition), 2017(5): 8-12.