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Cited by 273

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Smart grid design for efficient and flexible power networks operation and control

Momoh, James A.·2009·2009 IEEE/PES Power Systems Conference and Exposition

Abstract

The modernization of the US electric power infrastructure, especially in lieu of its aging, overstressed networks; shifts in social, energy and environmental policies, and also new vulnerabilities, is a national concern. Our system are required to be more adaptive and secure more than every before. Consumers are also demanding increased power quality and reliability of supply and delivery. As such, power industries, government and national laboratories and consortia have developed increased interest in what is now called the smart grid of the future. The paper outlines smart grid intelligent functions that advance interactions of agents such as telecommunication, control, and optimization to achieve adaptability, self-healing, efficiency and reliability of power systems. The author also presents a special case for the development of dynamic stochastic optimal power flow (DSOPF) technology as a tool needed in smart grid design. The integration of DSOPF to achieve the design goals with advanced DMS capabilities are discussed herein. This reference paper also outlines research focus for developing next generation of advance tools for efficient and flexible power systems operation and control.

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Metadata

Authors
Momoh, J. A.
Venue
2009 IEEE/PES Power Systems Conference and Exposition
Publisher
IEEE
Published
2009-03
Pages
1-8
OpenAlex
W2106728372
Cited by
273
References
1
FWCI
38.88
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Smart grid design for efficient and flexible power networks operation and control. https://app.cochat.ai/papers/10.1109/psce.2009.4840074
The paper
Momoh, J. A. (2009). Smart grid design for efficient and flexible power networks operation and control. 2009 IEEE/PES Power Systems Conference and Exposition. https://doi.org/10.1109/psce.2009.4840074

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.