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Optimal Siting and Sizing of Public Charging Stations in Urban Area
Shandong Univ, Inst Thermal Sci & Technol, Shandong, Peoples R China.
China Univ Petr, Acad Chinese Energy Strategy, Beijing, Peoples R China.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6279-4446
Shandong Univ, Inst Thermal Sci & Technol, Shandong, Peoples R China.
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2018 (English)In: JOINT INTERNATIONAL CONFERENCE ON ENERGY, ECOLOGY AND ENVIRONMENT ICEEE 2018 AND ELECTRIC AND INTELLIGENT VEHICLES ICEIV 2018, DESTECH PUBLICATIONS, INC , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Electric Vehicles (EVs) have achieved a significant development because of the continuous technology revolution and policy supports in recent years, which leads to a larger demand of EV charging stations (EVCSs). Strategies about optimal siting and sizing of public EVCSs are urgently needed in order to further assist the development of EVs. This paper focus on the return of investments on EVCSs and proposes a Mixed Integer Linear Programming (MILP) model based on Geographic Information System (GIS) to identify the optimal location and size of EVCS in cities. Traffic flow data, aggregated charging profiles and land-use classifications are used as important inputs together with important constraints, are included in the MILP model with the objective function of maximizing the total profits of new charging stations. The effectiveness of the proposed method is then demonstrated by implementing a case study in Vasteras, Sweden.

Place, publisher, year, edition, pages
DESTECH PUBLICATIONS, INC , 2018.
Series
DEStech Transactions on Environment Energy and Earth Sciences, ISSN 2475-8833
Keywords [en]
electricity vehicle, GIS, charging station, traffic flow, MILP
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-43985ISI: 000468631900072ISBN: 978-1-60595-590-2 (print)OAI: oai:DiVA.org:mdh-43985DiVA, id: diva2:1323668
Conference
International Conference on Energy, Ecology and Environment (ICEEE) / International Conference on Electric and Intelligent Vehicles (ICEIV), NOV 21-25, 2018, Swinburne Univ Technol, Melbourne, AUSTRALIA
Available from: 2019-06-12 Created: 2019-06-12 Last updated: 2019-06-12Bibliographically approved

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Li, Hailong

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