Study On Distributed Power Routing Control Strategy Based On Energy Internet

Energy internet has attracted considerable attention,which is considered to be an important solution to global climate issues and achieve sustainable global energy development.Energy internet whose main energy form is electricity power should not only have the ability to access distributed supplies,energy storage equipment and new loads openly and randomly but also to meet the future demand for customized services based on electricity market trading.Therefore,energy internet is a complex network whose electricity and information flow is in both directions,topology changes randomly and characteristics are openness,interconnection,peer-to-peer and sharing.Its coordination control and optimization operation are faced with many new challenges.The traditional centralized power grid control methods can’t meet the requirements of energy internet control and operation.This paper introduces a hierarchical distributed control structure based on multi-agent system(MAS)of energy internet and agent-based power router.Each unit in the same layer of the network is managed and interconnected by the power routers.The interconnection of each unit constitutes a distributed power grid.Power router is the core equipment of the energy internet,which integrates information and communication technology(ICT)and power electronics technology.The power router in this thesis consists of information layer achieved by the agent and power layer achieved by the power electronic converter.Agent has the characteristics of autonomy,adaptability,social ability and responsiveness,so that MAS is suitable for distributed problems.Agent-based power routers can achieve distributed power routing through negotiation by themselves.In the power routing topology,each node adjusts its own state just according to the state of the neighboring nodes to search the shortest path,so that the transmission path of the power is determined and operation state is optimized in the distributed way.The method greatly reduces the amount of information demand and the calculated workload for the power routing.Agent-based power router is able to search the shortest path by the negotiation conversation among agents.So the path-searching conversation based on FIPA(The Foundation for Intelligent Physical Agents)contact-network interaction protocol and the step-back conversation based on FIPA request interaction protocol are designed in this thesis.There are three kind of nodes,source node,sink node and general node,in the power routing topology.Thus SourceAgent,Sink Agent and GernalAgent are developed on JADE(Java Agent DEvelopment framework)for the three kind of nodes respectively,which is the implementation of information layer of power router and facilitates the deployment of power routing systems under different power routing topologies.A design of the converter model,the power layer of power router,is also introduced briefly.A design of power converter with LCL filter model as the power layer carrier of the power router is briefly introduced.As the information layer and the power layer are modeled on two heterogeneous platforms respectively,a communication interface is briefly introduced for the simulation of the power routing strategy proposed in this thesis.Finally,a 9-node grid simulation platform is established.The method of constructing the power routing topology and the power routing strategy based on the shortest path are verified.It is also verified that the method proposed in this paper can meet the requirements of openness,interconnection,peer-to-peer and sharing of energy internet,and to analyze the impact on energy internet operation when users and operators deeply participate in electricity market trading.The ability to avoid congestion problems is also verified.So as to provide some reference for the energy management and coordination control of the power router to energy internet,and also provide a power routing strategy to energy internet.