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On the effects of communication topologies on the performance of distributed optimization heuristics in smart grids

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dc.contributor.authorHolly, Stefanie
dc.contributor.authorNieße, Astrid
dc.contributor.editorReussner, Ralf H.
dc.contributor.editorKoziolek, Anne
dc.contributor.editorHeinrich, Robert
dc.date.accessioned2021-01-27T13:34:13Z
dc.date.available2021-01-27T13:34:13Z
dc.date.issued2021
dc.description.abstractDistributed heuristics have shown promising results in handling difficult optimization and coordination tasks in smart grids, which often have to deal with large numbers of components, distributed information and real time constraints. Some of these heuristics are distributed on an algorithmic level. This means that the way information is exchanged between the distributed units can effect the efficiency of the algorithm, in terms of computational effort, message volume, and convergence speed. It may even impact the effectiveness, i.e. the solution quality. The performance of control systems is of utmost importance for stable and optimal operation of critical infrastructure in smart grids. Therefore, factors influencing the effectiveness and efficiency, like the communication topology, must be thoroughly investigated in order to both initially configure them optimally and react appropriately to undesired behavior at runtime. The impact of the communication topology is studied with an experimental setup, using COHDA as an example heuristic. Systematic experiments are performed with various topologies and varying numbers of agents to illustrate the importance of a solid and maybe even dynamic choice of the communication topology for distributed heuristics in smart grid applications.en
dc.identifier.doi10.18420/inf2020_69
dc.identifier.isbn978-3-88579-701-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/34780
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2020
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-307
dc.subjectAgent-Communication
dc.subjectCommunication Topology
dc.subjectExchange Topology
dc.subjectMulti-Agent Systems
dc.subjectDistributed Optimization
dc.subjectNetwork-based Distributed Algorithms
dc.subjectSmart Grid
dc.subjectCOHDA
dc.titleOn the effects of communication topologies on the performance of distributed optimization heuristics in smart gridsen
gi.citation.endPage794
gi.citation.startPage783
gi.conference.date28. September - 2. Oktober 2020
gi.conference.locationKarlsruhe
gi.conference.sessiontitleHerausforderungen zukünftiger cyber-physischer Energiesysteme

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P307 - INFORMATIK 2020 - Back to the Future