Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network
Abstract This study proposes a bounded rational charging guidance strategy based on mental account theory, which guides users to charge in an orderly manner by formulating real‐time charging prices. Firstly, an orderly guidance framework for fast‐charging EVs under the traffic‐grid coupling network...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-12-01
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| Series: | IET Electrical Systems in Transportation |
| Online Access: | https://doi.org/10.1049/els2.12050 |
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| _version_ | 1832559556463427584 |
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| author | Chudi Wang Shaohua Ma Zhiyuan Cai Ning Yan Qiwei Wang |
| author_facet | Chudi Wang Shaohua Ma Zhiyuan Cai Ning Yan Qiwei Wang |
| author_sort | Chudi Wang |
| collection | DOAJ |
| description | Abstract This study proposes a bounded rational charging guidance strategy based on mental account theory, which guides users to charge in an orderly manner by formulating real‐time charging prices. Firstly, an orderly guidance framework for fast‐charging EVs under the traffic‐grid coupling network is constructed, and the influencing factors of various dimensions when users make charging decisions are analysed. Secondly, considering the bounded rational behaviour of users when making charging decisions, a multifactor bounded rational charging model for EV users based on mental account theory is proposed so as to obtain different charging costs for users when selecting charging stations. On this basis, a real‐time charging price strategy based on the Stackelberg game model is constructed, with the goal of maximising the economic benefits of charging station operators while reducing the charging cost of EV users as much as possible. Finally, the particle swarm optimisation algorithm is used to solve the game model so as to solve the real‐time charging price under various constraints. The simulation of an example verifies the rationality of the proposed real‐time charging price formulation method and the superiority of the bounded rational charging guidance strategy. |
| format | Article |
| id | doaj-art-5cb3fb0ae8cb4301b539b75e1cd5e7b4 |
| institution | Kabale University |
| issn | 2042-9738 2042-9746 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Electrical Systems in Transportation |
| spelling | doaj-art-5cb3fb0ae8cb4301b539b75e1cd5e7b42025-02-03T01:29:44ZengWileyIET Electrical Systems in Transportation2042-97382042-97462022-12-0112425126810.1049/els2.12050Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling networkChudi Wang0Shaohua Ma1Zhiyuan Cai2Ning Yan3Qiwei Wang4Department of Electrical Engineering Shenyang University of Technology Shenyang Economic and Technological Development Zone Shenyang ChinaDepartment of Electrical Engineering Shenyang University of Technology Shenyang Economic and Technological Development Zone Shenyang ChinaDepartment of Electrical Engineering Shenyang University of Technology Shenyang Economic and Technological Development Zone Shenyang ChinaDepartment of Electrical Engineering Shenyang University of Technology Shenyang Economic and Technological Development Zone Shenyang ChinaDepartment of Electrical Engineering Shenyang University of Technology Shenyang Economic and Technological Development Zone Shenyang ChinaAbstract This study proposes a bounded rational charging guidance strategy based on mental account theory, which guides users to charge in an orderly manner by formulating real‐time charging prices. Firstly, an orderly guidance framework for fast‐charging EVs under the traffic‐grid coupling network is constructed, and the influencing factors of various dimensions when users make charging decisions are analysed. Secondly, considering the bounded rational behaviour of users when making charging decisions, a multifactor bounded rational charging model for EV users based on mental account theory is proposed so as to obtain different charging costs for users when selecting charging stations. On this basis, a real‐time charging price strategy based on the Stackelberg game model is constructed, with the goal of maximising the economic benefits of charging station operators while reducing the charging cost of EV users as much as possible. Finally, the particle swarm optimisation algorithm is used to solve the game model so as to solve the real‐time charging price under various constraints. The simulation of an example verifies the rationality of the proposed real‐time charging price formulation method and the superiority of the bounded rational charging guidance strategy.https://doi.org/10.1049/els2.12050 |
| spellingShingle | Chudi Wang Shaohua Ma Zhiyuan Cai Ning Yan Qiwei Wang Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network IET Electrical Systems in Transportation |
| title | Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network |
| title_full | Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network |
| title_fullStr | Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network |
| title_full_unstemmed | Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network |
| title_short | Bounded rational real‐time charging pricing strategy under the traffic‐grid coupling network |
| title_sort | bounded rational real time charging pricing strategy under the traffic grid coupling network |
| url | https://doi.org/10.1049/els2.12050 |
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