Abstract

The smart electric power grid will evolve into a very complex adaptive system under semi-autonomous distributed control. It will be spatially and temporally complex, non-convex, non-linear and non-stationary, with lots of variability and uncertainties beyond what the traditional power system experiences today. the distributed integration of intermittent sources of energy and energy storage to a power grid further adds complexity and challenges to modeling, control and optimization of the grid. Innovative control technologies are needed to handle the growing complexity of a smart grid, maximize the penetration of renewable energy, and provide maximum utilization of available energy storage, especially plug-in electric vehicles. in this panel paper, innovative control technologies, which are dynamic, stochastic, computational and scalable, and which show promise for achieving the goals of a smart grid, are presented. © 2011 IEEE.

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

computational methods and intelligence; emission reductions; information technology; intelligent control; plug-in vehicles; smart grid; sustainable energy; virtual FACTS; wind farms

International Standard Book Number (ISBN)

978-145771001-8

International Standard Serial Number (ISSN)

1944-9933; 1944-9925

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.

Publication Date

09 Dec 2011

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