Information Disclosure in VPP - Information Disclosure by Decentralized Coordination in Virtual Power Plants and District Energy Systems
| dc.contributor.author | Bremer, Jörg | |
| dc.contributor.author | Lehnhoff, Sebastian | |
| dc.contributor.editor | Wohlgemuth, Volker | |
| dc.contributor.editor | Naumann, Stefan | |
| dc.contributor.editor | Arndt, Hans-Knud | |
| dc.contributor.editor | Behrens, Grit | |
| dc.contributor.editor | Höb, Maximilian | |
| dc.date.accessioned | 2022-09-19T09:20:51Z | |
| dc.date.available | 2022-09-19T09:20:51Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Grouping small, hardly predictable, and volatile energy resources to jointly operating virtual power plants with sufficient flexibility for coordination is widely seen as a key aspect of integrating renewable energy into the grid. For several reasons, self-organizing, agent-based systems are probably the best technology for coordination. A major drawback of many currently existing solutions is the necessity to communicate plain information for negotiation and optimization. Such information contains e.g. possible energy generation schemes or aggregated costs. Previous works have already shown that identification of anonymously sent information is possible. In this paper, we demonstrate the possibility of disaggregating cost structure information as an example of possible leakage of business information in the case of participation in virtual power plants or district energysystems. From this perspective, we derive measures to ensure privacy preservation in decentralized coordination algorithms | en |
| dc.identifier.isbn | 978-3-88579-722-7 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39408 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | EnviroInfo 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-328 | |
| dc.subject | Virtual Power plant | |
| dc.subject | Distributed Optimization | |
| dc.subject | Self-Organization | |
| dc.subject | Data Privacy | |
| dc.title | Information Disclosure in VPP - Information Disclosure by Decentralized Coordination in Virtual Power Plants and District Energy Systems | en |
| dc.type | Text/Conference Paper | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 133 | |
| gi.conference.date | 26.-30- September 2022 | |
| gi.conference.location | Hamburg |
Dateien
Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
- Name:
- EnviroInfo2022_ShortPaper_11.pdf
- Größe:
- 162.31 KB
- Format:
- Adobe Portable Document Format