IPhotovoltaic Power Generation Monitoring System Based on Alibaba Cloud
In the field of renewable energy, photovoltaic (PV) power generation, as a form of clean energy, has been widely used worldwide. In order to meet the demand for real-time monitoring and data analysis of PV power generation system, this paper designs a PV power generation monitoring system based on STM32F407ZGT6 microcontroller, ESP8266EX wireless communication module and multiple sensors. The system consists of light sensor BH1750, temperature and humidity sensor DHT11, voltage sensor based on IN826 operational amplifier, current sensor based on ACS712ELCTR-20A-T chip, power supply module based on TPS5430 chip and wireless communication module based on ESP8266EX chip. The system collects key data such as light intensity, temperature, humidity, current and voltage, and calculates the corresponding power value, while uploading the data to the AliCloud platform in real time using the MQTT protocol. Users can monitor the operation status of the PV power generation system in real time through the visualization interface of the AliCloud platform, and conduct in-depth analysis of the system efficiency and operation. In addition, the system also integrates the SD card storage function, which can save the collected data into the SD card, and then the data can be viewed and analyzed through the USB card reader to ensure the long-term preservation and convenient access of the data. The system is characterized by high accuracy, high reliability and real-time data transmission, providing strong technical support for the management and maintenance of PV power generation system. The software design is realized on Keil platform, which shows excellent performance in practical applications and is of great practical significance for engineering applications.
Authors
- Chao He (ORCID: https://orcid.org/0000-0001-7869-7627)
- Bo Song (ORCID: https://orcid.org/0000-0002-6343-2922)
- Jiang Wu (ORCID: https://orcid.org/0000-0003-0968-8609)
- Z. Y. Ou (ORCID: https://orcid.org/0000-0002-2341-368X)
Institutions
- University of South China (CN)
Publication Details
- Published
- 2025-04-18
- DOI
- https://doi.org/10.1109/iseae64934.2025.11041867
- Primary Topic
- Energy Harvesting in Wireless Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00