A three-stage operation scheduling framework for an EV mobile charging service provider in coupled power-transportation systems
•Covers comprehensive operation stages of mobile charging stations.•Proposes a novel techno-economic-welfare scheduling and routing framework.•Uses a mixed-integer second-order cone programming (MISOCP) approach.•Models operation scheduling from the service provider’s perspective.•Studies operation...
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| Published in: | Electric power systems research Vol. 252; p. 112445 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.01.2026
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| Subjects: | |
| ISSN: | 0378-7796 |
| Online Access: | Get full text |
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| Summary: | •Covers comprehensive operation stages of mobile charging stations.•Proposes a novel techno-economic-welfare scheduling and routing framework.•Uses a mixed-integer second-order cone programming (MISOCP) approach.•Models operation scheduling from the service provider’s perspective.•Studies operation of coupled power and transportation systems.
Electric vehicles are recognized as important constituents of sustainable power and transportation systems. However, existing challenges for further electric vehicle adoption and development include limited charging infrastructure and uncertainties in the charging process. To mitigate these issues, mobile charging stations, a complementary charging infrastructure to fixed charging stations, have been introduced to provide charging services to electric vehicles at the location and time that are required. This paper presents an operation scheduling framework for an electric vehicle mobile charging service provider in coupled power-transportation systems. A three-stage operational framework is proposed to minimize the service time and operation cost. Case studies are performed using a coupled power-transportation system with 33 power buses and 12 transportation nodes to verify the effectiveness of the proposed model and compare the results with the conventional charging method in which fixed charging stations provide the charging services to electric vehicles. The simulation results are analyzed through time-, economic-, and grid-based perspectives. The results show that the cost of charging is 11.5 % less, time of charging is 17.1 % less, and energy loss is comparable in the proposed method versus the conventional method. |
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| ISSN: | 0378-7796 |
| DOI: | 10.1016/j.epsr.2025.112445 |