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A consumer-orientated Architecture for distributed Demand-Side-Optimization

dc.contributor.authorDethlefs, Tim
dc.contributor.authorBeewen, Dirk
dc.contributor.authorPreisler, Thomas
dc.contributor.authorWolfgang, Renz
dc.contributor.editorGómez, Jorge Marx
dc.contributor.editorSonnenschein, Michael
dc.contributor.editorVogel, Ute
dc.contributor.editorWinter, Andreas
dc.contributor.editorRapp, Barbara
dc.contributor.editorGiesen, Nils
dc.date.accessioned2019-09-16T03:12:59Z
dc.date.available2019-09-16T03:12:59Z
dc.date.issued2014
dc.description.abstractDemand-Side-Management (DSM) is one of the key applications in the future smart grid, creating a new degree of control in order to reduce losses and fluctuations caused by volatile distributed energy resources (DERs). To integrate the consumer side, several approaches like flexible tariffs, have been proposed and tested. However, many of these approaches not have been adopted widely yet because of the needed sophisticated (and often expensive) command and control infrastructures or their impact on the user comfort. In this paper an architectural approach for a lightweight demand-side-application will be proposed. Utilizing methods of peer-to-peer (p2p) networks and abstraction patterns the architecture will be enabling consumers to form spontaneous demand-side optimization networks in order to optimize their load and to provide energy services to the Smart Grid of the future. Because of the decentralized characteristic of the architecture, the aggregation instance does not need detailed information of the optimization network, while the approach is scalable.de
dc.description.urihttp://enviroinfo.eu/sites/default/files/pdfs/vol8514/0349.pdfde
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/25749
dc.publisherBIS-Verlag
dc.relation.ispartofProceedings of the 28th Conference on Environmental Informatics - Informatics for Environmental Protection, Sustainable Development and Risk Management
dc.relation.ispartofseriesEnviroInfo
dc.titleA consumer-orientated Architecture for distributed Demand-Side-Optimizationde
dc.typeText/Conference Paper
gi.citation.publisherPlaceOldenburg
gi.conference.date2014
gi.conference.locationOldenburg
gi.conference.sessiontitleSmart Grids

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