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An adaptive optimization model for power conservation in the smart grid
LUMS School of Science and Engineering, Lahore, Pakistan.
LUMS School of Science and Engineering, Lahore, Pakistan.
Mälardalen University, School of Sustainable Development of Society and Technology.ORCID iD: 0000-0003-4589-7045
Mälardalen University, School of Sustainable Development of Society and Technology.ORCID iD: 0000-0001-5277-4567
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2010 (English)In: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2010, 2010, 1563-1570 p.Conference paper, Published paper (Refereed)
Abstract [en]

Dynamically adaptive systems (DAS) such as smart grids, cloud computing applications, sensor networks and P2P networks tend to change their structure at runtime. T herefore, design-time modeling for such systems are sometimes not enough to incorporate self-* properties. To this end, we have developed a dynamic mathematical modeling framework for runtime optimizations for DAS. In this paper, we describe how our system engineers a linear programming model by using a smart-grid application for power distribution as a case-study. At runtime whenever an optimization is desired this modeling framework captures the state of the system, converts it into an appropriate linear programming model, plan the changes using mathematical manipulations and apply the changes to the actual system. Our results show that this framework is able to capture accurate runtime models of large power systems and is able to adapt itself with the change in the size or structure of the system.

Place, publisher, year, edition, pages
2010. 1563-1570 p.
Series
Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, ISSN 1062-922X
Keyword [en]
Adaptive systems, Power conservation, Power optimization, Smart grid, Actual system, Adaptive optimization, Cloud computing, Grid applications, Large power systems, Linear programming models, Mathematical modeling, Modeling frameworks, P2P network, Power distributions, Runtime models, Runtime optimization, Runtimes, System engineers, Time modeling, Computer systems programming, Linear programming, Optimization, Peer to peer networks, Distributed computer systems
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-20769DOI: 10.1109/ICSMC.2010.5642343Scopus ID: 2-s2.0-78751490643ISBN: 9781424465880 (print)OAI: oai:DiVA.org:mdh-20769DiVA: diva2:641771
Conference
2010 IEEE International Conference on Systems, Man and Cybernetics, SMC 2010, 10 October 2010 through 13 October 2010, Istanbul
Available from: 2013-08-19 Created: 2013-07-31 Last updated: 2013-12-04Bibliographically approved

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Wallin, FredrikVassileva, IanaDahlquist, Erik
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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
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Output format
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