Unified Modeling And Analysis Of Multi-energy Based On Energy Internet

With the rapid development of the world economy,the contradiction between social progress and energy demand is becoming more and more intense.The environmental problems brought about by traditional energy structures threaten the living space of human beings,balancing the relationship between energy and the environment,breaking through the bottleneck of social development has become an urgent task for humanity.In recent years,with electric power as the core,the new energy structure with clean and environmental protection is gradually established.The proposal of "Energy Internet" is undoubtedly a way to solve the problem of sustainable energy development.The construction of an energy network with multiple energy exchange and communication capabilities is a major measure to solve energy security,environmental pollution,and climate change.It is an inevitable trend in the development of the energy and is the only way for safe,clean,efficient,and sustainable development.Therefore,the multi-energy system is modeled and analyzed.It can analyze the interoperability between different networks at the same time.Based on this,the operational control strategies for different optimization objectives are studied to reflect the environmental protection,stability,and economy of the energy internet.With the advent of P2 G technology,surplus energy can be converted into methane storage,and the degree of coupling of gas and electricity networks is deepening.The main work of this paper is as follows:(1)Analyze and study the relevant theoretical knowledge of multi-energy system modeling,including the power system(renewable energy mainly based on wind energy,light energy and energy storage),natural gas system,CCHP system(micro gas turbine,gas boiler and central air-conditioning system)and P2 G equipment system mathematical model and characteristic parameters.(2)Using the GRU-based deep learning prediction model and combining relevant historical data to establish a prediction system,it provides support for analyzing the network structure of multi-energy systems and controlling operational strategies.(3)Analyze and build a multi-energy network structure.Aiming at the instability and strong randomness of wind and solar energy output power,a compound control algorithm based on the energy storage ratio and the power smoothing parameters is proposed.Under various constraints,three operating modes of the gas-electric hub system are proposed,including electric load first(ELF),heat load first(HLF)and hybrid benefit first(HBF).Combined with the above two networks,the EC unit structure model,mathematical model,and basic operation strategy for integrating P2 G systems are proposed,which deepens the core of multi-energy interconnection and interoperability.(4)Comprehensive indicators are used to evaluate multi-energy systems.Evaluation indicators including the economic benefit index of energy storage systems,the comprehensive index of wind/PV/storage systems,and the economic benefits of the system and so on.Simulation experiments show that the issue of multi-energy system planning is of great significance and is an integral part of the future development of the energy Internet.