Mittwoch
05
SEP
| 16.15 Uhr | New Energy Space Modeling and Implications on Complexity of Decision Making and Control in Electric Energy Systems: Prof. Marija Ilic, Massachusetts Institute of Technology (MIT), Institute for Data, Systems and Society
In this talk we present a recently-introduced multi-layered modeling framework for posing the problem of safe, robust and efficient design and control for rapidly changing electric energy systems. The proposed framework establishes dynamic relations between physical concepts such as stored energy, useful work, and wasted energy, on one hand; and modeling, simulation, and control of interactive modular complex dynamical systems, on the other. In particular, our recently introduced energy state-space modeling approach for electric energy systems is further interpreted using fundamental laws of physics in multi-physical systems, which are modeled as dynamically interacting modules.
This approach is shown to be particularly well-suited for scalable optimization of large-scale complex systems. Instead of having to use simpler models, the proposed multi-layered modeling of system dynamics in energy space offers a promising basic method for modeling and controlling inter-dependencies across multi-physics subsystems for both ensuring feasible and near-optimal operation. It is illustrated how this approach can be used for understanding fundamental physical causes of inefficiencies created either at the component level or resulting from poor matching of their interactions.
This talk is based on the recent paper by M. D. Ilic and R. Jaddivada entitled "Multi-layered interactive energy space modeling for near-optimal electrification of terrestrial, shipboard and aircraft systems”, Annual Reviews in Control, available online May 2018. The paper provides theoretical foundations for Dynamic Monitoring and Decision Systems (DyMonDS) framework envisioned as the next-generation SCADA.
The control design based on joint work with Xia Miao and R. Jaddivada for microgrids and integration of renewable resources and demand response is used as an example to illustrate potential benefits of this approach.
Finally, many open modeling, estimation and optimization challenges/opportunities using this modeling approach are discussed. Adresse Mathematikon Conference Room / 5th Floor Im Neuenheimer Feld 205 69120 Heidelberg Homepage Veranstaltung www.mathcomp.uni-heidelberg.de/events Veranstalter Interdisciplinary Center for Scientific Computing (IWR) Homepage Veranstalter www.iwr.uni-heidelberg.de Kontakt Prof. Ekaterina Kostina |