NDLI: A proposed framework for heuristic approaches to resource allocation in the emerging smart grid

Content Provider	IEEE Xplore Digital Library
Author	Hansen, T. Roche, R. Suryanarayanan, S. Siegel, H.J. Zimmerle, D. Young, P.M. Maciejewski, A.A.
Copyright Year	2012
Description	Author affiliation: Colorado State University (CSU), USA (Hansen, T.; Suryanarayanan, S.; Siegel, H.J.; Zimmerle, D.; Young, P.M.; Maciejewski, A.A.) \|\| University of Technology of Belfort-Montbéliard (UTBM), France (Roche, R.)
Abstract	As smart grids introduce profound changes in the operation of the electric power industry, the need for efficient and robust resource allocation (RA) algorithms arises, especially due to the increasingly stochastic nature of availability of highly dispersed resources. A framework for solving the smart grid RA (SGRA) problem using a heuristic approach such as a genetic algorithm is presented in this paper. Similar challenges exist in resource allocation in the realm of computing. A comparison is drawn between SGRA and computing RA. Its application to a multi-agent-based distribution management system, used as an environment model, is also proposed. A path forward concludes the paper.
Starting Page	1
Ending Page	6
File Size	525863
Page Count	6
File Format	PDF
ISBN	9781467328685
e-ISBN	9781467328685
DOI	10.1109/PowerCon.2012.6401462
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-30
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Computational modeling Actuators System-on-a-chip Resource management smart grid distributed generation energy storage genetic algorithm heuristic multi-agent systems plug-in electric vehicle resource allocation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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