Abstract
In this paper, we deal with the charging scheduling optimization problem of electric vehicle in highway via Stackelberg game and matching theory. At first, we propose an algorithm for electric vehicle allocation to charging station which aims to uniformize waiting time of each charging station. In addition, we present energy demand and price decision problem and solve it using Stackelberg game. We compare Stackelberg equilibrium point and Nash equilibrium point and confirm Stackelberg game provide bigger benefit to charging station. Finally, we show validation of proposed algorithm via numerical simulations.
Original language | English |
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Pages (from-to) | 17029-17034 |
Number of pages | 6 |
Journal | IFAC-PapersOnLine |
Volume | 53 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2020 |
Event | 21st IFAC World Congress 2020 - Berlin, Germany Duration: 2020 Jul 12 → 2020 Jul 17 |
Keywords
- Charging scheduling
- electric vehicle
- game theory
- matching theory
ASJC Scopus subject areas
- Control and Systems Engineering