Non-cooperative Optimization of Charging Scheduling for Electric Vehicle via Stackelberg Game and Matching Theory
| Autor: | Toru Namerikawa, Miyu Yoshihara |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer Science::Computer Science and Game Theory
0209 industrial biotechnology Mathematical optimization business.product_category Optimization problem Matching (graph theory) Computer science 020208 electrical & electronic engineering 02 engineering and technology Decision problem Scheduling (computing) Charging station 020901 industrial engineering & automation Control and Systems Engineering Electric vehicle 0202 electrical engineering electronic engineering information engineering Stackelberg competition Point (geometry) business |
| Zdroj: | IFAC-PapersOnLine. 53:17029-17034 |
| ISSN: | 2405-8963 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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