Abstract
Transportation electrification is one of the essential components in the future smart city planning and electric vehicles (EVs) will be integrated into the transportation system seamlessly. Charging stations are the main source of energy for EVs and their locations are critical to the accessibility of EVs in a city. They should be carefully situated so that an EV can access a charging station within its driving range and cruise around anywhere in the city upon being recharged. In this paper, we formulate the Electric Vehicle Charging Station Placement Problem, in which we minimize the total construction cost subject to the constraints for the charging station coverage and the convenience of the drivers for EV charging. We study the properties of the problem, especially its NP-hardness, and propose an efficient greedy algorithm to tackle the problem. We perform a series of simulation whose results show that the greedy algorithm can result in solutions comparable to the mixed-integer programming approach and its computation time is much shorter.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 |
| Pages | 510-515 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 - Vancouver, BC, Canada Duration: 21 Oct 2013 → 24 Oct 2013 |
Publication series
| Name | 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 |
|---|
Conference
| Conference | 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 21/10/13 → 24/10/13 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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SDG 11 Sustainable Cities and Communities
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