Monthly data output reaches two to three gigabytes, resulting from the devices' fine-tuned synchronization across multiple solar sites. Collected data supports performance analysis and short-term prediction of plant output. It also aims to improve accuracy in energy price auctions by providing timely updates on plant conditions.
"As it's about closely monitoring the systems to gather as much information as possible and being able to react to any negative effects that could affect the stability of the electrical grid," researcher Victor Pallares Lopez explained. Enhanced monitoring allows operators to respond promptly - disconnecting affected parts to prevent disturbances from spreading to the wider grid.
The system has undergone laboratory testing and field deployment at two Pozoblanco facilities. The research team is currently analyzing the accumulated data as part of a national project titled Edge management of photovoltaic plants based on an analytical architecture with near-perfect temporal precision, reference PID2024-158091OB-C21.
Research Report:Implementation and Characterization of a High-Precision Monitoring System for Photovoltaic Power Plants Using Self-Made Phasor Measurement Units
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