{"title":"Coordination of Multi-Agent Orderly Charging via an Incentive-Compatible Mechanism","authors":"Ziyu Chen;Chao Sun;Wanli Wu;Jizhong Zhu;Yan Xu;Jingxian Chen","doi":"10.1109/TSG.2024.3495701","DOIUrl":null,"url":null,"abstract":"As the cyber-physical system is developed into cyber-physical-social system, the importance of social factors is growing in the interaction between electric vehicle (EV) and power system. This paper aims to develop an incentive-compatible mechanism to coordinate multi-agent orderly charging. Firstly, the travel behaviors of EV cluster are simulated based on Monte Carlo sampling, and the load transfer model considering various social factors is constructed. Then, an orderly charging mechanism involving multiple agents based on Nash bargaining theory is proposed. In the first stage, the total profit of electric vehicle user, power grid company (PGC), and charge station operator is maximized. In the second stage, the revenue of each agent after participating in the cooperation is improved by transfer payment. Next, the carbon trading mechanism is applied in the incentive compatibility model, and the revenue of PGC participating in the carbon market under different scenarios and constraints are calculated. Finally, by comparing with the existing model, the simulation results show that the proposed multi-agent coordinated orderly charging model can reduce the pressure on the power grid caused by the randomness of EV travel, and through a fair profit distribution mechanism, it can maximize the social benefits of the coalition while increasing the revenue of each agent.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1535-1548"},"PeriodicalIF":8.6000,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10750297/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
As the cyber-physical system is developed into cyber-physical-social system, the importance of social factors is growing in the interaction between electric vehicle (EV) and power system. This paper aims to develop an incentive-compatible mechanism to coordinate multi-agent orderly charging. Firstly, the travel behaviors of EV cluster are simulated based on Monte Carlo sampling, and the load transfer model considering various social factors is constructed. Then, an orderly charging mechanism involving multiple agents based on Nash bargaining theory is proposed. In the first stage, the total profit of electric vehicle user, power grid company (PGC), and charge station operator is maximized. In the second stage, the revenue of each agent after participating in the cooperation is improved by transfer payment. Next, the carbon trading mechanism is applied in the incentive compatibility model, and the revenue of PGC participating in the carbon market under different scenarios and constraints are calculated. Finally, by comparing with the existing model, the simulation results show that the proposed multi-agent coordinated orderly charging model can reduce the pressure on the power grid caused by the randomness of EV travel, and through a fair profit distribution mechanism, it can maximize the social benefits of the coalition while increasing the revenue of each agent.
期刊介绍:
The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.