Study of Vehicle-to-Grid Interaction Income Considering Scenario Coefficient
As the urgency degree of the grid demand for power varies due to the dynamic change of the grid, the income generated by vehicle-to-grid (V2G) interaction also differs under different urgency degrees. To achieve a more reasonable distribution of the interaction income, this paper proposed a distribu...
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| Format: | Article |
| Language: | zho |
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State Grid Energy Research Institute
2022-03-01
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| Series: | Zhongguo dianli |
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| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202101099 |
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| author | Hongbo CHENG Yuanxi GUO Zixuan SHANG Yunxiao LI |
| author_facet | Hongbo CHENG Yuanxi GUO Zixuan SHANG Yunxiao LI |
| author_sort | Hongbo CHENG |
| collection | DOAJ |
| description | As the urgency degree of the grid demand for power varies due to the dynamic change of the grid, the income generated by vehicle-to-grid (V2G) interaction also differs under different urgency degrees. To achieve a more reasonable distribution of the interaction income, this paper proposed a distribution method of the V2G interaction income that considers the difference in the power grid scenario. The scenario coefficient is used to reflect the urgency degree of the grid demand for power, and equivalent substitution of ancillary services is discussed to analyze the V2G interaction income. The response probability of electric vehicle users under different electricity prices is taken into account and an improved bargaining game model is built to solve the electricity price for the optimal scenario response and thereby obtain the income distribution shares of the two sides participating in the V2G interaction. The effectiveness and superiority of the proposed income distribution model are verified through the comparative case analysis of the load reduction degree, income, and fair entropy of the distribution method among several response strategies. |
| format | Article |
| id | doaj-art-95f633284dea4000bb53643aece1ca4a |
| institution | DOAJ |
| issn | 1004-9649 |
| language | zho |
| publishDate | 2022-03-01 |
| publisher | State Grid Energy Research Institute |
| record_format | Article |
| series | Zhongguo dianli |
| spelling | doaj-art-95f633284dea4000bb53643aece1ca4a2025-08-20T02:52:24ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492022-03-01553283610.11930/j.issn.1004-9649.202101099zgdl-55-2-chenghongboStudy of Vehicle-to-Grid Interaction Income Considering Scenario CoefficientHongbo CHENG0Yuanxi GUO1Zixuan SHANG2Yunxiao LI3School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaSchool of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, ChinaAs the urgency degree of the grid demand for power varies due to the dynamic change of the grid, the income generated by vehicle-to-grid (V2G) interaction also differs under different urgency degrees. To achieve a more reasonable distribution of the interaction income, this paper proposed a distribution method of the V2G interaction income that considers the difference in the power grid scenario. The scenario coefficient is used to reflect the urgency degree of the grid demand for power, and equivalent substitution of ancillary services is discussed to analyze the V2G interaction income. The response probability of electric vehicle users under different electricity prices is taken into account and an improved bargaining game model is built to solve the electricity price for the optimal scenario response and thereby obtain the income distribution shares of the two sides participating in the V2G interaction. The effectiveness and superiority of the proposed income distribution model are verified through the comparative case analysis of the load reduction degree, income, and fair entropy of the distribution method among several response strategies.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202101099v2g interactionscenario coefficientimproved bargaining game modelincome distributionfairness evaluation |
| spellingShingle | Hongbo CHENG Yuanxi GUO Zixuan SHANG Yunxiao LI Study of Vehicle-to-Grid Interaction Income Considering Scenario Coefficient Zhongguo dianli v2g interaction scenario coefficient improved bargaining game model income distribution fairness evaluation |
| title | Study of Vehicle-to-Grid Interaction Income Considering Scenario Coefficient |
| title_full | Study of Vehicle-to-Grid Interaction Income Considering Scenario Coefficient |
| title_fullStr | Study of Vehicle-to-Grid Interaction Income Considering Scenario Coefficient |
| title_full_unstemmed | Study of Vehicle-to-Grid Interaction Income Considering Scenario Coefficient |
| title_short | Study of Vehicle-to-Grid Interaction Income Considering Scenario Coefficient |
| title_sort | study of vehicle to grid interaction income considering scenario coefficient |
| topic | v2g interaction scenario coefficient improved bargaining game model income distribution fairness evaluation |
| url | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202101099 |
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