PRESENTATION
2016 - Users Conference - San Francisco - Transmission and Distribution
The Synchrophasor Grid Monitoring and Automation (SyGMA) Laboratory and OSIsoft PI System at University of California, San Diego
The OSIsoft PI System forms the backbone of the new Synchrophasor Grid Monitoring and Automation (SyGMA) Laboratory at the San Diego Supercomputer Center (SDSC) at the University of California, San Diego (UCSD). The new SyGMA includes multiple PI Server collecting real-time data from PMU devices, distributed across the UCSD campus and other sites in California, including the OSIsoft headquarter in San Leandro. The location of the SyGMA lab at SDSC facilitates analysis of both real-time and historical data sets on supercomputers, and advanced security for data protection and communication. The PI System also includes multiple sets of PMU data from both the Eastern Interconnection and WECC (peak reliability). The SyGMA lab provides a collaborative environment for students and research partners, featuring a rich OSIsoft-based development platform. The SyGMA lab provides users the ability to study advanced signal processing for transmission and distribution systems, with an emphasis on high-penetration renewable energy systems that require fast response to intermittent generation and loads switching. The laboratory develops new data processing algorithms for synchrophasor data, leading to new phasor data algorithms that are implemented directly on the PI Servers, bringing value to the PMU data and the operators who need to utilize the data. In addition to signal processing techniques, the SyGMA lab investigates control and automation techniques based on the high-bandwidth synchrophasor data. For simulation verification, the SyGMA lab will partner with San Diego Gas and Electric, and plans to use multiple racks of Real-Time Dynamic Simulator (RTDS) hardware interfaced to the PI System."
Company
University of California, San Diego
Speaker
Raymond de Callafon
Raymond de Callafon is a full Professor in the Department of Mechanical and Aerospace Engineering (MAE) at the University of California, San Diego (UCSD). He received his PhD from Delft University of Technology in the Netherlands in 1998. He currently focuses on teaching, research, and judicial expertise, covering aspects in signal processing, parameter/state estimation, servo/adaptive control, and embedded software development. Professor de Callafon directs two laboratories at UCSD, the System Identification and Control Laboratory (SICL), and the Synchrophasor Grid Monitoring and Automation (SyGMA) Lab at the San Diego Supercomputer Center, focusing on diverse applications ranging from state estimation in wild fire predictions, to dynamic modeling and control of microgrids.