Research On Energy Scheduling Strategy Of Multiple Electric Energy Routers For Energy Internet

In recent years,the global consumption of traditional fossil fuels has increased year by year,leading to serious environmental problems and an energy crisis.There is an urgent need for a sustainable energy transformation.However,the supply of renewable energy is unstable,with fluctuations and intermittency.The integration of a large amount of renewable energy into the power grid will have an impact on the safety of the power grid.To fully utilize renewable energy and control the energy grid,the concept of an energy internet has been proposed.The energy internet aims to build an energy system with intelligent control and efficient transmission,achieving comprehensive coordination,utilization,and optimized scheduling of multiple energy sources.The electric energy router,as a key device in the energy internet,can improve energy utilization efficiency and ensure the reliability and stability of the power system,realizing energy management and scheduling in the energy internet.With the widespread integration of electric energy routers into the grid,multiple electric energy routers in a certain area can be interconnected to form a multi-electric energy router system.The multi-electric energy router system is an extension and deepening of power router functions,which can significantly enhance the credibility,smoothness,and safety of the power system,reduce energy waste and environmental pollution,and is an important direction for the future development of the energy internet.In the energy scheduling of the energy internet,the energy scheduling of the multi-electric energy router system is a key component,which can realize the maximization of energy use in a local area and provide support for the overall energy scheduling of the energy internet.To solve the energy scheduling problem of the multi-electric energy router system,this paper proposes a hierarchical optimization scheduling scheme,including the following research contents:Firstly,a design scheme for the multi-electric energy router network is proposed,which divides the system into three layers: physical layer,acquisition and transmission layer,and information layer,and improves the function of each layer.The access devices of the multi-electric energy router system are modeled,and the basic operation strategy and operation state of the system are analyzed.Secondly,the energy scheduling model of the multi-electric energy router system is studied in two layers: the lower electric energy router layer and the upper multi-electric energy router system layer.The lower layer optimizes the total cost of the electric energy router using the sparrow search algorithm.The upper layer minimizes the total cost of the multi-electric energy router system using the sparrow search algorithm and particle swarm optimization algorithm.Finally,the effectiveness of the algorithm is verified through simulation analysis,which proves that the networking of multiple electric energy routers effectively reduces the total operating cost of the system.The sparrow search algorithm performs better than the particle swarm optimization algorithm in the economic optimization of the multi-electric energy router system.