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New systems control problem formulations for the changing electric energy industry

Much has changed in the electric power industry. However, the basic theoretic problem formulations used have remained unchanged. Unfortunately, these no longer lend themselves to the future needs. In this talk we start by summarizing monitoring, estimation and control problem formulation for the traditional electric power industry. Simple simulations are provided to point out the key issues and room for improvement. We next consider a representative future electric energy systems architecture (FEESA) and contrast its objectives with the objectives of the old industry. The emphasis is on multi-layered industry capable of integrating distributed resources close to the end users. A possible problem posing for this industry architecture is presented. The problem posing is used to illustrate challenges, opportunities and open questions. It is described how the new problem lends itself to the distributed model-predictive control for network systems. State-of-art sufficient conditions for predictable performance of such systems is discussed in light of what must be relaxed to be used and useful for future energy systems. Possible solutions must go beyond competitive decentralized system assumptions, and have to rely on digitally enabled cooperation among the industry participants. Finally, implications of such novel problem formulation on facilitating technically feasible integration of intermittent resources such as wind and PVs, in cooperation with small hydro, demand side management and small storage are illustrated.

Type of Seminar:
Public Seminar
Prof. Marija D. Ilic
Carnegie Mellon University
Sep 11, 2008   14:00 /

ETH Zentrum, Building ETZ, Room E 6
Contact Person:

Prof. M. Morari
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