Carnegie Mellon University (CMU), USA
Marija Ilić is a Professor Emerita at Carnegie Mellon University (CMU). She is currently a Senior Research Scientist at the MIT Laboratory for Information and Decision Systems (LIDS) at the Massachusetts Institute of Technology (MIT). She is an IEEE Life Fellow and an elected member of the US National Academy of Engineering, and the Academia Europaea. She was the first recipient of the NSF Presidential Young Investigator Award for Power Systems in the US. She has co-authored several books on the subject of large-scale electric power systems, and has co-organized an annual multidisciplinary Electricity Industry conference series at Carnegie Mellon with participants from academia, government, and industry. She was the founder and co-director of the Electric Energy Systems Group (EESG) at Carnegie Mellon University. Currently she is building EESG@MIT, in the same spirit as EESG@CMU. Most recently she has offered an open EdX course at MIT entitled “Principles of Modeling, Simulations and Control in Electric Energy Systems”. She is a founder and chief scientist at New Electricity Transmission Solutions (NETSS), Inc.
This talk concerns difficult system integration problems of numerous innovative hardware and software technologies into legacy electric power systems. The objective is to support making the most out of what is available, namely to enable sustainable electric energy services. We suggest that to do this systematically, it is critical to utilize control for enabling their flexibility and for aligning their interactions within the complex interconnected system as conditions vary. Flexible data-enabled operations are essential for ensuring reliable and resilient electricity service without excessive reserve requirements. We illustrate potential of using next generation controllers for overcoming difficult dynamic problems, such as electro-mechanical sub synchronous resonance, inter-area oscillations, and electro-magnetic control induced system stability (CISS) problems, all emerging with the deployment of intermittent resources.
All these open questions present both opportunities and challenges as the industry is evolving. In the second part of the talk we briefly review our unified modeling of aggregate energy dynamics. This model takes on the general form of a mathematical model for general physical systems introduced by J.C. Willems and, as such, lends itself to using general systems control methods. For the first time it becomes possible to design conditions for provable performance that can be interpreted in terms of energy dynamics. We describe potential of this modeling in support of control co-design which considers control at the same time as hardware selection is being made. We illustrate potential benefits from using unified models and next generation energy control co-design capable of identifying enhancements needed.
(postponed from June 22-24, 2021)