Two new technologies from California are being integrated by Neuville into an industrial-grade system: innovative data-gathering sensor hardware and advanced database software (“dataware”).
Brought together, resulting capability can scrutinize the behavior of electric power grid and associated equipment at a level of detail, clarity, and sophistication never achieved before.
Neuville’s sensor boxes uniquely combine 4 things: newly devised frequency-domain micro-synchrophasors (µPMU), time-domain power quality monitors (PQM), environmental sensors, and sub-100 nanosecond timing. Providing 100-100,000x improvement on the state-of-the-art – e.g. 2PPM voltage and current measurements and 0.003° phasor angle accuracy.
Compact and powerful, Neuville rugged Grid Data Units (GDU) operates in two different modes simultaneously: as a Certified IEC 61000-4-30 Ed 3 Class A Power Quality Monitoring (PQM) or as a micro-synchrophasor (µPMU). Neuville combines them along with other equipment and special processing to gather high-resolution electrical measurement data from the power transmission and distribution (T&D) grid, solar farms, wind turbines, energy storage site, and other electrical infrastructure.
Neuville is PSL’s Primary Distributor and Value-Added Reseller (VAR) for the electric power sector. Power Standards Lab (PSL) develops and manufactures the innovative PQube3 and related equipment in Alameda California. Download the PQube3 brochure. Please contact us if you would like more information or to discuss ordering equipment.
Existing databases cannot handle the flood of Big Data from the high-resolution instrumentation and meet network system operator requirements. Neuville is developing a robust, low-cost, highly-scalable, Cloud-based or private-server solution that features a more than 1,000x performance improvement over anything commercially available.
Neuville’s forthcoming time-series database (TSDB) can cost-efficiently cope with truly enormous amounts of Big Data – quadrillions of data-points amounting to petabytes. Working with electricity data time-stamped in nanoseconds, its novel structure permits multi-scale data analysis, enabling unprecedent prediction and anomaly detection.