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Article: Electric vehicle charging station placement: Formulation, complexity, and solutions
Title | Electric vehicle charging station placement: Formulation, complexity, and solutions |
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Authors | |
Keywords | electric vehicle (EV) smart city planning location Charging station |
Issue Date | 2014 |
Citation | IEEE Transactions on Smart Grid, 2014, v. 5, n. 6, p. 2846-2856 How to Cite? |
Abstract | © 2014 IEEE. To enhance environmental sustainability, many countries will electrify their transportation systems in their future smart city plans, so the number of electric vehicles (EVs) running in a city will grow significantly. There are many ways to recharge EVs' batteries and charging stations will be considered as the main source of energy. The locations of charging stations are critical; they should not only be pervasive enough such that an EV anywhere can easily access a charging station within its driving range, but also widely spread so that EVs can cruise around the whole city upon being recharged. Based on these new perspectives, we formulate the EV charging station placement problem (EVCSPP) in this paper. We prove that the problem is nondeterministic polynomial-time hard. We also propose four solution methods to tackle EVCSPP, and evaluate their performance on various artificial and practical cases. As verified by the simulation results, the methods have their own characteristics and they are suitable for different situations depending on the requirements for solution quality, algorithmic efficiency, problem size, nature of the algorithm, and existence of system prerequisite. |
Persistent Identifier | http://hdl.handle.net/10722/219763 |
ISSN | 2023 Impact Factor: 8.6 2023 SCImago Journal Rankings: 4.863 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Lam, Albert Y S | - |
dc.contributor.author | Leung, Yiu Wing | - |
dc.contributor.author | Chu, Xiaowen | - |
dc.date.accessioned | 2015-09-23T02:57:54Z | - |
dc.date.available | 2015-09-23T02:57:54Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | IEEE Transactions on Smart Grid, 2014, v. 5, n. 6, p. 2846-2856 | - |
dc.identifier.issn | 1949-3053 | - |
dc.identifier.uri | http://hdl.handle.net/10722/219763 | - |
dc.description.abstract | © 2014 IEEE. To enhance environmental sustainability, many countries will electrify their transportation systems in their future smart city plans, so the number of electric vehicles (EVs) running in a city will grow significantly. There are many ways to recharge EVs' batteries and charging stations will be considered as the main source of energy. The locations of charging stations are critical; they should not only be pervasive enough such that an EV anywhere can easily access a charging station within its driving range, but also widely spread so that EVs can cruise around the whole city upon being recharged. Based on these new perspectives, we formulate the EV charging station placement problem (EVCSPP) in this paper. We prove that the problem is nondeterministic polynomial-time hard. We also propose four solution methods to tackle EVCSPP, and evaluate their performance on various artificial and practical cases. As verified by the simulation results, the methods have their own characteristics and they are suitable for different situations depending on the requirements for solution quality, algorithmic efficiency, problem size, nature of the algorithm, and existence of system prerequisite. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Smart Grid | - |
dc.subject | electric vehicle (EV) | - |
dc.subject | smart city planning | - |
dc.subject | location | - |
dc.subject | Charging station | - |
dc.title | Electric vehicle charging station placement: Formulation, complexity, and solutions | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TSG.2014.2344684 | - |
dc.identifier.scopus | eid_2-s2.0-84908267943 | - |
dc.identifier.hkuros | 254210 | - |
dc.identifier.volume | 5 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 2846 | - |
dc.identifier.epage | 2856 | - |
dc.identifier.isi | WOS:000344542000019 | - |
dc.identifier.issnl | 1949-3053 | - |