An Operational Planning Method for Microgrids Integrated with Carsharing‐Based <scp>MaaS</scp> at a Practical Scale
In this paper, we propose an efficient planning method for the electric vehicle (EV) and Energy Management System (E 2 MS). The proposed method determines the combinations of EV travel patterns within the E 2 MS by Tabu Search, while each EV's charging and discharging schedule is optimized using Linear Programming. Numerical experiments show that our method achieves optimal solutions faster than a Mixed‐Integer Linear Programming (MILP) solver in small‐scale models, and effectively handles practical‐scale models that MILP solvers struggle with. © 2025 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.
Authors
- Machiko Hiramatsu
- Hiroshi Uchigaito (ORCID: https://orcid.org/0000-0003-0542-5983)
- Takahiro Nakamura (ORCID: https://orcid.org/0000-0002-5387-6538)
- Ryoichi Hara (ORCID: https://orcid.org/0000-0001-8652-3301)
- Thantip Krasienapibal (ORCID: https://orcid.org/0000-0002-2326-723X)
- Mamoru Okamoto (ORCID: https://orcid.org/0000-0001-6639-2754)
- Nobuaki Kawashima
- Yusuke Yasugahira
- Takashi Takemoto (ORCID: https://orcid.org/0000-0002-5949-2252)
- Yida Li (ORCID: https://orcid.org/0000-0001-5973-8278)
- Hiroyuki Kita
Institutions
- Hokkaido University (JP)
- Hitachi (Japan) (JP)
Publication Details
- Journal
- IEEJ Transactions on Electrical and Electronic Engineering
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1002/tee.70184
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00