Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic Games
For microgrids (MGs) with electric vehicle prosumers, effective time-of-use based energy trading is important for multi-vehicles-to-MG system. In this paper, a Stochastic Stackelberg game (SSG) model is proposed. The model is based on the Stackelberg game, where the sellers act as leader and the buy...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8918284/ |
| _version_ | 1818620898833334272 |
|---|---|
| author | Yue Yu Songbo Chen Zhaoxu Luo |
| author_facet | Yue Yu Songbo Chen Zhaoxu Luo |
| author_sort | Yue Yu |
| collection | DOAJ |
| description | For microgrids (MGs) with electric vehicle prosumers, effective time-of-use based energy trading is important for multi-vehicles-to-MG system. In this paper, a Stochastic Stackelberg game (SSG) model is proposed. The model is based on the Stackelberg game, where the sellers act as leader and the buyers are considered as follower. First, according to the distributed generation's (DG) output and load distribution, MGs are classified as sellers and buyers, whose strategies set are established separately. Then the utility models of sellers and buyers are established, which include a stochastic variable model for electric vehicles (EVs). Moreover, with the proof of equilibrium and uniqueness of the Stackelberg equilibrium, sellers are obligated to coordinate the sharing of energy with maximization of the profit, while the buyers are autonomous to maximize their utilities with demands response to availabilities. Finally, the game equilibrium is solved to deal with the uncertainty of EV's energy and plugging-in time. By using the collected data from realistic EVs, the effectiveness of the model is verified in terms of seller profit, the utilities of buyers, and the net energy usage in MG. The results of the static pricing model and SSG model were compared to demonstrate the effectiveness of the SSG model. |
| first_indexed | 2024-12-16T18:00:42Z |
| format | Article |
| id | doaj.art-c154b73b681c4778b0d5a497206a437f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T18:00:42Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-c154b73b681c4778b0d5a497206a437f2022-12-21T22:22:04ZengIEEEIEEE Access2169-35362019-01-01717450717451610.1109/ACCESS.2019.29569468918284Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic GamesYue Yu0https://orcid.org/0000-0001-8855-2325Songbo Chen1https://orcid.org/0000-0002-3300-1662Zhaoxu Luo2https://orcid.org/0000-0002-1855-3717College of Traffic Engineering, Hunan University of Technology, Zhuzhou, ChinaCollege of Traffic Engineering, Hunan University of Technology, Zhuzhou, ChinaCollege of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou, ChinaFor microgrids (MGs) with electric vehicle prosumers, effective time-of-use based energy trading is important for multi-vehicles-to-MG system. In this paper, a Stochastic Stackelberg game (SSG) model is proposed. The model is based on the Stackelberg game, where the sellers act as leader and the buyers are considered as follower. First, according to the distributed generation's (DG) output and load distribution, MGs are classified as sellers and buyers, whose strategies set are established separately. Then the utility models of sellers and buyers are established, which include a stochastic variable model for electric vehicles (EVs). Moreover, with the proof of equilibrium and uniqueness of the Stackelberg equilibrium, sellers are obligated to coordinate the sharing of energy with maximization of the profit, while the buyers are autonomous to maximize their utilities with demands response to availabilities. Finally, the game equilibrium is solved to deal with the uncertainty of EV's energy and plugging-in time. By using the collected data from realistic EVs, the effectiveness of the model is verified in terms of seller profit, the utilities of buyers, and the net energy usage in MG. The results of the static pricing model and SSG model were compared to demonstrate the effectiveness of the SSG model.https://ieeexplore.ieee.org/document/8918284/Multi-microgridelectric vehiclesenergy tradingstochastic Stackelberg game |
| spellingShingle | Yue Yu Songbo Chen Zhaoxu Luo Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic Games IEEE Access Multi-microgrid electric vehicles energy trading stochastic Stackelberg game |
| title | Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic Games |
| title_full | Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic Games |
| title_fullStr | Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic Games |
| title_full_unstemmed | Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic Games |
| title_short | Residential Microgrids Energy Trading With Plug-In Electric Vehicle Battery via Stochastic Games |
| title_sort | residential microgrids energy trading with plug in electric vehicle battery via stochastic games |
| topic | Multi-microgrid electric vehicles energy trading stochastic Stackelberg game |
| url | https://ieeexplore.ieee.org/document/8918284/ |
| work_keys_str_mv | AT yueyu residentialmicrogridsenergytradingwithpluginelectricvehiclebatteryviastochasticgames AT songbochen residentialmicrogridsenergytradingwithpluginelectricvehiclebatteryviastochasticgames AT zhaoxuluo residentialmicrogridsenergytradingwithpluginelectricvehiclebatteryviastochasticgames |