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The increasing usage of electric vehicles (EVs) motivates the development of decentralized control strategies for EV charging stations. We present a predictive control scheme that can mitigate the stress on the distribution grids as well as increase photovoltaic (PV) self-consumption while catering for forecast uncertainties. Here, we demonstrate the performance of our approach through a simulation and a field test within a residential context. Results suggest a significant increase in PV self-consumption with our novel dynamic approach compared to a previously static algorithm deployed in the same field environment.
", "publication_date": "2020-09-11", "publisher": "Zenodo", "resource_type": { "id": "publication-conferencepaper", "title": { "de": "Konferenzbeitrag", "en": "Conference paper" } }, "rights": [ { "description": { "en": "The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited." }, "icon": "cc-by-icon", "id": "cc-by-4.0", "props": { "scheme": "spdx", "url": "https://creativecommons.org/licenses/by/4.0/legalcode" }, "title": { "en": "Creative Commons Attribution 4.0 International" } } ], "subjects": [ { "subject": "demonstration" }, { "subject": "optimization" }, { "subject": "photovoltaic" }, { "subject": "smart charging" }, { "subject": "smart grid" } ], "title": "Electric Vehicle Charge Management taking into account Grid State and Forecast Uncertainties of Photovoltaic Generation" }, "parent": { "access": { "owned_by": { "user": 101303 } }, "communities": { "default": "559b2b41-13f8-4551-8bce-d03ae5c1d441", "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2020-09-09T19:45:38.012332+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "559b2b41-13f8-4551-8bce-d03ae5c1d441", "links": {}, "metadata": { "curation_policy": "The Electric Drive Transportation Association manages the EVS33 Zenodo Community and is responsible for the publishing of final, peer-reviewed EVS33 papers.
\r\n", "page": "This EVS33 Zenodo Community serves as the repository of the final, peer-reviewed papers that were to be presented at the 33rd World Electric Symposium and Exposition (EVS33).
\r\n\r\nThe Electric Drive Transportation Association (EDTA), host and organizer of the event, made the unfortunate but necessary decision to cancel the EVS33, originally scheduled for June 2020 in Portland, Oregon, due to the COVID-19 pandemic.
\r\n\r\nA pillar of the EVS series is a rigorous peer-reviewed papers process that has been helping to grow the world's library of scholarship covering research, market and government activities across all fields of electric drive since 1969. The juried paper process for EVS33 was completed before the unavoidable event cancellation.
\r\n\r\nEVS33 organizers recognize the significant contribution of time and expertise by authors and expert reviewers. We believe this work is critically important to the advancement of electric mobility worldwide and should be available to the public.
\r\n\r\nFor more information about EVS33, visit https://evs33portland.org/.
\r\n\r\nAbout EDTA: The Electric Drive Transportation Association (EDTA) is the trade association promoting battery, hybrid, plug-in hybrid and fuel cell electric drive technologies and infrastructure. EDTA conducts public policy advocacy, education, industry networking, and international conferences. EDTA’s membership includes vehicle and component manufacturers, utilities, materials suppliers, charging infrastructure and technology providers and other stakeholders. For more information about EDTA and our members, visit ElectricDrive.org.
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