Collaborative Planning Of Integrated Energy System Considering Multiple Energy Storage

The integrated energy system mainly includes energy subsystems such as electricity,heat,cold and natural gas,as well as energy input and conversion,energy transmission,energy storage and energy demand.Integrated energy system is a new energy system that can realize multi energy coupling complementary and multi link optimization and coordination.Reasonable structure planning and capacity allocation can improve energy efficiency and reduce energy supply cost while meeting energy demand in advance.How to realize the structure optimization and reasonable configuration of the integrated energy system is the primary consideration and solution of the construction of the integrated energy system.With the utilization of high proportion of renewable energy and the diversification of users’ penergy demand,the types of energy and energy scenarios in the system are increasing and complex,which puts forward higher requirements for the theory and technology of integrated energy system planning.To solve this problem,this paper proposes a collaborative planning optimization method and model for the integrated energy system with power,thermal and cold subsystems,which aims to minimize the economic cost of the system,and focuses on the collaborative optimization strategy of electric thermal multiple energy storage.Firstly,this paper analyzes the characteristics of common energy storage equipment in power storage technology,heat storage technology and cold storage technology,and establishes the corresponding energy storage equipment model for the selected lithium battery and heat storage tank.Secondly,the basic structure of integrated energy system including multiple energy storage devices is designed,the principle of multi energy complementary configuration based on multiple energy storage collaboration is defined,the optimization strategy of electric thermal multiple energy storage collaboration is formulated,and the collaborative optimization strategy of integrated energy system based on multiple energy storage collaboration is further studied.Then,the process of optimization of integrated energy system is defined,the statistical method of battery discharge depth is studied,and the quantitative model of battery life is established.On this basis,taking the minimum economic cost including the life cycle cost of energy storage battery as the objective,and taking the balance of supply and demand,network transmission,building area,output of equipment as constraints,an optimization model of integrated energy system planning is constructed.Combined with the characteristics of this model,the particle swarm optimization algorithm is optimized from two aspects of learning speed and crossover mode.According to the improved algorithm,the system planning optimization model is solved.Finally,a multi energy complementary integrated energy system in northern China is taken as an example to apply and analyze the proposed method and model.According to the local resource distribution,load demand and energy price,two simulation schemes are designed.The improved particle swarm optimization algorithm is used to solve the problem,and the results are analyzed and discussed.The results show that the investment cost of scheme 2 is about 5.39%lower than that of scheme 1,and the investment in renewable energy is about 19.96%,which shows that the model has good performance in reducing economic cost and improving the utilization rate of renewable energy.In addition,for the second simulation scheme,the improved particle swarm optimization algorithm and the improved particle swarm optimization algorithm are used to solve and compare.The results show that the improved particle swarm optimization algorithm can effectively solve the integrated energy system planning model of the scene,and obtain a better planning and design scheme.