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Multi-commodity network flow models for dynamic energy management - Smart Grid applications

Multi-commodity network flow models for dynamic energy management - Smart Grid applications
Multi-commodity network flow models for dynamic energy management - Smart Grid applications

The strong interconnection between human activities, energy use and pollution reduction strategies in contemporary society has determined the necessity of collecting scientific knowledge from different fields to provide useful methods and models to foster the transition towards more sustainable energy systems. This is a challenging task in particular for contemporary communities where an increasing demand for services is combined with rapidly changing lifestyles and habits. The Smart Grid concept is the result of a confluence of issues and a convergence of objectives, which include national energy security, climate change, pollution reduction, grid reliability, etc. While thinking about a paradigm shift in energy systems, drivers, characteristics, market segments, applications and other interconnected aspects must be taken into account simultaneously. In this context, the use of multi-commodity network flow models for dynamic energy management aims at finding a compromise between model usefulness, accuracy, flexibility, solvability and scalability in Smart Grid applications.

Dynamic energy management, Multi-commodity network flow models, Smart grid
1876-6102
1374-1379
Adhikari, R.S.
1138a533-a48f-4422-aa6d-1331273a7b64
Aste, N.
9f0175c5-0192-4167-ac2e-c3735c794fde
Manfren, M.
f2b8c02d-cb78-411d-aed1-c4d056365392
Adhikari, R.S.
1138a533-a48f-4422-aa6d-1331273a7b64
Aste, N.
9f0175c5-0192-4167-ac2e-c3735c794fde
Manfren, M.
f2b8c02d-cb78-411d-aed1-c4d056365392

Adhikari, R.S., Aste, N. and Manfren, M. (2012) Multi-commodity network flow models for dynamic energy management - Smart Grid applications. Energy Procedia, 14, 1374-1379. (doi:10.1016/j.egypro.2011.12.1104).

Record type: Article

Abstract

The strong interconnection between human activities, energy use and pollution reduction strategies in contemporary society has determined the necessity of collecting scientific knowledge from different fields to provide useful methods and models to foster the transition towards more sustainable energy systems. This is a challenging task in particular for contemporary communities where an increasing demand for services is combined with rapidly changing lifestyles and habits. The Smart Grid concept is the result of a confluence of issues and a convergence of objectives, which include national energy security, climate change, pollution reduction, grid reliability, etc. While thinking about a paradigm shift in energy systems, drivers, characteristics, market segments, applications and other interconnected aspects must be taken into account simultaneously. In this context, the use of multi-commodity network flow models for dynamic energy management aims at finding a compromise between model usefulness, accuracy, flexibility, solvability and scalability in Smart Grid applications.

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More information

Published date: 8 March 2012
Keywords: Dynamic energy management, Multi-commodity network flow models, Smart grid

Identifiers

Local EPrints ID: 413997
URI: https://eprints.soton.ac.uk/id/eprint/413997
ISSN: 1876-6102
PURE UUID: 3839b644-08ac-4954-977c-9b220e190c3d
ORCID for M. Manfren: ORCID iD orcid.org/0000-0003-1438-970X

Catalogue record

Date deposited: 12 Sep 2017 16:31
Last modified: 29 Aug 2019 00:26

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Contributors

Author: R.S. Adhikari
Author: N. Aste
Author: M. Manfren ORCID iD

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