Work

Design of a Photovoltaic Tracking System Control System

Year: 2025

Type: article

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.

Source: Journal of Computer Science and Electrical Engineering

DOI: 10.61784/jcsee3090

Authors: MingMao Gong, XingHui Liu

Institution: Sichuan Technology and Business University

Language: English

Topic: Photovoltaic System Optimization Techniques

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Climate action

Open Access status: hybrid

OpenAlex ID: W4414521860

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