The electricity generation performance in a photovoltaic system can be improved by precise monitoring of electrical and meteorological parameters. Disruptions in electrical parameters are caused by unreliable climatic variables, degradation of the photovoltaic system, and errors. The main purpose of the present work is the development of a data acquisition and monitoring system for time series data storage for subsequent analyses of the solar photovoltaic mini-plant located at the Poços de Caldas campus of the Federal University of Alfenas. The developed system exhibits the collected parameters as well as the performance metrics calculated by numerical modeling. For this purpose, a data logger, web server, REST API and a responsive web application were created.
This paper describes the development of a data logger used in a photovoltaic monitoring system, whose purpose is to store time series data for subsequent analyses. By accurately monitoring electrical and meteorological parameters after installation of a photovoltaic power plant, the electrical generation performance in photovoltaic systems can be optimized. Disturbances in electrical parameters are partly caused by inaccuracy in climate variables, but also by degradation and errors in the photovoltaic system. Storing large volumes of data over a long period of time is a widespread use of data loggers, and this helps in composing a database that can provide higher quality to the photovoltaic systems and their operational analysis. The data logger developed in this study used a single-board Raspberry Pi 3 Model B computer in conjunction with specific programs and protocols. The data logger’s main software was coded using Javascript high-level programming language added to a PostgreSQL database and ModbusTCP communication library.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.