Laboratories and Infrastructure in Energy Systems
Siemens Digital Grid Laboratory
Harris Engineering Center (HEC), RM 302
New features of Siemens commercial software (MGMS, ADMS, SINCAL, etc.) are beta-tested in the lab.
The packages are also used to conduct research in optimal operation of transmission and
distribution systems with high penetration of renewable energies, stochastic modeling of power systems,
protection of PV farms, real-time monitoring of transmission and distribution systems, distribution system
automation, and power system restoration and resilience analysis. Research outcomes are then incorporated to enhance
functionalities of these packages. The lab is also used for both class instructions and training activities.
UCF Cluster of Resilient Intelligent Sustainable Energy Systems (RISES)
Interdisciplinary Research Buiding
The RISES is a university cluster that provides the basic infrastructure for UCF students and faculty to conduct research
in such areas as high-penetration renewable integration, distributed control and optimization, resilience and restoration of power systems, and secure CPS.
Our educational and research activities include close collaborations with utilities (Duke Energy, Orlando Utilities Commission, etc),
industry (Siemens, GE, Leidos, TI, etc) and national labs (NREL, LANL and PNNL).
The cluster has a total six laboratories:
Microgrid Control Laboratory
Interdisciplinary Research Buiding, RM 154
The lab aims at safe, reliable, efficient and secure operation of large-scale distribution networks
with extremely high penetration of renewables. Local communication and automatic clustering are used to
enable self-organizing microgrids. Distributed optimization and control algorithms are used to autonomously
coordinate intermittent renewables and other distributed energy resources, to maintain voltage stability,
to minimize energy loss, and to optimize demand responses and storage. Through collaborating with
industry/utility partners, real-world data are used to validate designs, and hardware-in-the-loop (HIL)
simulations are conducted. Students can also test their algorithms using a bench-top setup.