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Constrained Grover Adaptive Search for Optimization of the Bidirectional EV Charging Problem

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dc.contributor.authorFederer, Marika
dc.contributor.authorLenk, Steve
dc.contributor.authorMüssig, Daniel
dc.contributor.authorWappler, Markus
dc.contributor.authorLässig, Jörg
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:19Z
dc.date.available2023-11-29T14:50:19Z
dc.date.issued2023
dc.description.abstractThe optimization problem of bidirectional electrical vehicle charging (Vehicle-to-Home) becomes more and more important with rising energy prices and the required reduction of 𝐶𝑂2 emissions. We maximize the usage of local solar power generation, while minimizing the power grid usage. This is constrained by the energy demand of the household and the required state of charge at departure as well as the idle times of the car at home. The problem is formulated as a Constrained Polynomial Binary Optimization (CPBO) problem, which is convenient for Grover Adaptive Search by representing the objective function and the constraints as a Quantum Dictionary.en
dc.identifier.doi10.18420/inf2023_124
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43046
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectQuantum Computing
dc.subjectBidirectional EV Charging
dc.subjectGrover Adaptive Search
dc.subjectConstrained Optimization
dc.subjectQuantum Dictionary
dc.titleConstrained Grover Adaptive Search for Optimization of the Bidirectional EV Charging Problemen
dc.typeText/Conference Paper
gi.citation.endPage1127
gi.citation.publisherPlaceBonn
gi.citation.startPage1121
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleGI Quantum Computing Workshop

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