Research On Optimized Configuration And Operation Of Integrated Energy System For Parks With Hydrogen Storage And Heat Storage

In order to solve the problem of excessive energy exploitation and serious environmental pollution in China,the integrated energy system(IES)with good reliability,high energy utilization rate and low environmental impact has been developed rapidly.Hydrogen with high calorific value and low pollution characteristics has begun to be valued.The role of electric heat storage in power peak shaving,reducing environmental pollution,and controlling urban haze has become increasingly prominent.This paper studies the integrated energy system for Parks with hydrogen storage and heat storage.Under the premise of meeting the energy demand of the park,the equipment capacity in the IES is designed to ensure the economic and safe operation of the system.In order to solve the problem of uncertainty of renewable energy and load in the system,a scheduling strategy is proposed to ensure the economic and safe operation of the system.First,an IES structure containing multiple energy conversion devices and energy storage devices is constructed.Then,the working principle of each component is expounded,and a mathematical model suitable for system optimization configuration and operation research is established.Then,considering the impact of energy demand,operation strategy and equipment characteristics of the IES on the capacity allocation process,a capacity optimization configuration model with lowest overall energy cost as the optimization target is established.A two-layer model solving method combining particle swarm optimization(PSO)and Gurobi solver is proposed.This method can get the operating strategy of the system while solving the capacity configuration problem.Then,use an actual example of a park in Beijing to verify the capacity optimization configuration model.It can improve the economics of system operation and reduce the cost of electricity,heat and cold energy in the park.Finally,in order to solve the uncertainty of the photovoltaic and load in the park,a multi-time-scale optimal scheduling is proposed based on the results of the capacity allocation of the IES.It includes three stages:pre-distribution,intra-day scheduling,and real-time scheduling.Compared with the traditional strategy following thermal load(FTL)and following electric load(FEL),this strategy can stabilize the fluctuation of photovoltaic and thermal power loads,and can effectively reduce the operating cost of the system.