| With the development of the Internet of Things and the power network,the dispatching mode of the traditional power grid has been unable to meet the needs of new energy distributed generation and user power consumption in the new era,and grid intelligence and automation have gradually become the consensus of people.As a new generation of intelligent control technology and interactive business model,virtual power plant(VPP)effectively aggregates dispersed resources into a dispatchable and tradeable unit by utilizing the latest technologies in the fields of communication,control and the Internet.However,in the VPP scheduling mode,there are two issues that need to be considered.First,a large number of underlying embedded terminals are connected to the communication network,which leads to a surge in traffic and brings huge pressure on communication and computing.How to alleviate the pressure of communication and computing needs to be studied.Second,in the process of multi-agent cooperation in VPP,the selfishness of the agents will cause the problem of information asymmetry between the two sides of the interaction,which also needs to be solved by research.Therefore,in view of the two problems in VPP,this paper focuses on the two aspects of communication and computing,and studies the mutual cooperation between multi-agents and the efficient use of multi-dimensional resources.Specifically,the main research work of this paper will be carried out from the following three aspects.First,in the scenario of many VPP terminal data uploads,facing the problem of excessive transmission pressure on the base station,this paper proposes a terminal data upload scheme based on D2D and relay transmission.Through the direct transmission between devices,the pressure of the base station is relieved,and the success probability of data transmission is deduced,and the relay technology is used to increase the success probability of transmission.Specially,this paper proposes to use electric vehicles as mobile relays to improve the transmission success rate of VPP terminals.With the goal of maximizing the probability of successful transmission,optimize the transmission time and relay objects.Simulation results verify the performance of the content deliveryThen,in view of the shortage of licensed spectrum caused by largescale multi-service transmission,this paper proposes to use LTE-U technology to increase network capacity by utilizing more resource-rich unlicensed spectrum.Considering that electric vehicles have different demands on transmission bandwidth for different power grid services,and the selfishness of users themselves who want to pay less and obtain higher returns,this paper uses contract theory to classify users according to user needs and design reasonable incentives mechanism to establish a problem with the goal of maximizing the benefits of mobile operators,and solve the optimal allocation scheme of heterogeneous spectrum resources.Finally,in view of the problem that the massive upload of data from the power grid causes excessive computing pressure on the cloud server,this paper proposes to use edge computing technology to reduce the computing pressure and transmission delay of the cloud server.Specially,this paper considers that electric vehicles,as entities with dual roles of energy and information,have charging requirements and computing capacity,and proposes to use their computing capacity to serve smart charging stations to reduce charging costs and achieve a win-win situation between electric vehicles and charging stations.Simulation results show that the proposed optimization scheme based on contract theory and oneto-many matching algorithm can effectively improve the system performance. |