DYNAMIC RESOURCE ALLOCATION THROUGH SEMI-STRUCTURED ADAPTATION

Sander van Splunter, Elth Ogston, Frances Brazier

Abstract

Many of today’s systems are complex, distributed and networked, often situated in very dynamic environments. Such systems are often designed to adapt to change autonomically, to manage themselves autonomously. The Smart Energy Grid is an example of a large scale distributed system for which Distributed Energy Resource Management is crucial. This paper proposes a loosely coordinated management structure for Virtual Power Stations (VPS): hierarchical configuration. Within VPSs individual consumers and producers each with their own goals and responsibilities also share responsibility for collective goals such as reliability. Hierarchic self-management combines the strengths of centralised approaches with clear contracts and dependencies, with the strength of a fully decentralised approach within which distributed parts of a system adapt autonomously. Agent-based simulation experiments illustrate the potential of a hierarchical approach for distribution of resources within and between Virtual Power Stations as conditions change. Comparisons to centralised management and to fully decentralised management show that performance of the hierarchical approach is close to a centralised approach, whilst flexibility and scaleability are comparable to a fully decentralised approach.

References

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Paper Citation


in Harvard Style

van Splunter S., Ogston E. and Brazier F. (2011). DYNAMIC RESOURCE ALLOCATION THROUGH SEMI-STRUCTURED ADAPTATION . In Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-8425-41-6, pages 302-310. DOI: 10.5220/0003188303020310


in Bibtex Style

@conference{icaart11,
author={Sander van Splunter and Elth Ogston and Frances Brazier},
title={DYNAMIC RESOURCE ALLOCATION THROUGH SEMI-STRUCTURED ADAPTATION},
booktitle={Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2011},
pages={302-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003188303020310},
isbn={978-989-8425-41-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - DYNAMIC RESOURCE ALLOCATION THROUGH SEMI-STRUCTURED ADAPTATION
SN - 978-989-8425-41-6
AU - van Splunter S.
AU - Ogston E.
AU - Brazier F.
PY - 2011
SP - 302
EP - 310
DO - 10.5220/0003188303020310