Research On Multi-energy Flow Collaborative Optimization Scheduling Strategy Of Regional Energy Internet

As more and more countries are paying attention to carbon emission,how to reduce environmental pollution caused by traditional energy has been a consensus worldwide.Integrated energy systems(IES),which accommodate various kinds of energy and different forms of loads,can optimize energy in different forms collaboratively.IES are one of the most important direction of the future power system,and is the research focus of this paper.With the development of related technologies,it is also of great significance to consider the optimal scheduling of multi-integrated energy systems(MIES),formed by several integrated energy systems in the region.In this paper,aiming at the optimal operation scheduling of the integrated energy system in the power grid,the optimization model of the connection between the IES and the shared energy storage system(SESS)is first established.Then,considering the impact of the access of SESS on the operation of the IES,the operation optimization model and solution method of the IES considering SESS are proposed,and the impact of SESS on the economic operation of the IES is analyzed.Finally,on the basis of the IES,the interconnection between the SESS and the MIES is considered,and the interaction between electric energy and thermal energy in each subsystem is considered to analyze the economy of the operation of the MIES.The main work of this paper is summarized as follows.The IES are connected to SESS and the equipment model in IES is established considering the IES and SESS are integrated with the outside energy system.The mathematical models of equipment in IES include the photovoltaic,wind turbine,gas-fired generator and electrical heating.Then the concept of SESS is introduced and the mathematical model of SESS is built,which lays the foundation of the follow-up research.This model is oriented towards IES that are connected to SESS,aiming at analyzing the economic operation effects of IES by SESS.The optimal dispatching model is solved by the improved particle swarm optimization algorithm.In the numerical test,the operational performance of IES under three scenarios are compared.These scenarios include IES considering SESS,IES without any energy storage system and IES with independent-configuration energy storage systems and the curves of equipment in IES are analyzed.The operation costs under the three scenarios are compared and the economic effects to the operating IES by introduction of SESS are analyzed.Lastly,by comparing different prices of service charge of SESS by the operator,the investment return year and return on investment of SESS are analyzed.different prices of service charge of SESS by the operator,the investment return year and return on investment of SESS are analyzed.The optimal dispatching model of MIES considering SESS and electricity and heat interaction is proposed.The model is aimed at the MIES which are connected to SESS to analyze the effects to MIES by energy exchange between each sub IES,considering electricity and heat interaction in each sub IES of MIES.Then to solve the proposed model,the output of SESS,gas-fired generator and energy exchange are transformed from nonlinear parts to linear parts in the optimal model.In the numerical test,the affections to equipment output in MIES brought by the electricity and heat interaction are analyzed.And the dispatching of MIES is compared with dispatching of each IES independently,which shows the effects to the economic operation of MIES when considering electricity and heat interaction.