Sciweavers

Share
SASO
2007
IEEE

Clustering Distributed Energy Resources for Large-Scale Demand Management

10 years 6 months ago
Clustering Distributed Energy Resources for Large-Scale Demand Management
Managing demand for electrical energy allows generation facilities to be run more efficiently. Current systems allow for management between large industrial consumers. There is, however, an increasing trend to decentralize energy resource management and push it to the level of individual households, or even appliances. In this work we investigate the suitability of using adaptive clustering to improve the scalability of decentralized energy resource management systems by appropriately partitioning resources. We review the area of distributed energy resource management and propose a simple yet realistic model to study the problem. Simulations using this model show that straightforward clustering and distributed planning methods allow systems to scale, but may be limited to only a few hundredthousand appliances. Results indicate that there is an opportunity to apply adaptive clustering techniques in order to discover more advanced grouping criteria that would enable groups to change as...
Elth Ogston, Astrid Zeman, Mikhail Prokopenko, Geo
Added 04 Jun 2010
Updated 04 Jun 2010
Type Conference
Year 2007
Where SASO
Authors Elth Ogston, Astrid Zeman, Mikhail Prokopenko, Geoff James
Comments (0)
books