Contract-based approach to provide electric vehicles with charging service in heterogeneous networks
| Autor: | Yilong Hui, Zhou Su, Hui Hui, Huwei Chen, Dongfeng Fang |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Scheme (programming language)
0209 industrial biotechnology Service (systems architecture) Mathematical optimization Computer science Cognitive Neuroscience media_common.quotation_subject 02 engineering and technology Computer Science Applications Power (physics) 020901 industrial engineering & automation Artificial Intelligence Complete information 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Function (engineering) Inefficiency computer Heterogeneous network media_common computer.programming_language |
| Zdroj: | Neurocomputing. 344:61-72 |
| ISSN: | 0925-2312 |
| DOI: | 10.1016/j.neucom.2018.06.093 |
| Popis: | Recently, mobile charging stations (MCSs) have attracted more attentions compared with fixed charging stations (FCSs). Electric vehicles (EVs) can be easily provided with charging service through MCSs. However, most of existing approaches cannot be properly used to design the optimal pricing strategy for MCSs, leading to the inefficiency of power in MCSs. Thus, it is necessary to study new incentive mechanisms to improve MCSs’ profits. In this paper, we propose a contract-based scheme to maximize MCSs’ profits in the heterogeneous networks. Considering the power trading between EV users and MCSs, we develop the utility function with EV users’ types. Aiming to maximize MCSs’ profits, we formulate this problem as an optimization problem under the complete and incomplete information of EV users, respectively. Through the theoretical analysis, we prove the existence of optimal contract items, which also ensure the feasibility of EV users. Then optimal solutions can be achieved based on our proposed algorithm. Numerical and simulation results validate the effectiveness of our proposal. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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