Research On Grid-connected Integrated Energy System With Energy Storage Optimal Scheduling And Planning

In the face of the energy shortage and severe environmental challenges caused by the massive consumption of fossil fuels,the integrated energy system with the advantages of energy conservation and environmental protection has attracted wide attention.How to maximize the benefits of the multi-energy complementary integrated energy system under the premise of safe energy supply is a focus issue in the integrated energy research.This paper takes grid-connected integrated energy system with energy storage as the research object and focuses on the optimal scheduling strategy and planning method of integrated energy system.It mainly includes:(1)For the high-dimensional nonlinear optimization problems in integrated energy system optimization dispatching,existing algorithms have limited ability of local search.Introducing a correction factor of blast radius and Tent map,fireworks algorithm was improved.Then,the performance of the improved fireworks algorithm in solving integrated energy system optimization scheduling model be analyzed by a case.(2)In order to remove the coupling constraint between energy storage and new energy or cogeneration unit and enable it participate in economic dispatch bette r,fully considering the price difference between different periods and the thermal/electricity load levels,this paper established a combined optimal dispatch model of cooling,heating and electricity for multi-energy system,taking the opportunity benefit of electricity storage and the penalty cost of heat storage into account.This model is solved by the improved fireworks algorithm.Finally,the effectiveness of the proposed scheduling model is verified by comparing the simulation results of three examples in different scenarios.(3)Since the existing planning models cannot evaluate the full life cycle utilization rate of energy equipment,this paper adopts annual utilization hours of equipment as the standard of equipment utilization during its whole life circle and puts forward a park-level integrated energy system planning method for a long time scale considering uncertainties of wind power,solar energy and load to avoid the prob lem of large error of load prediction in short time scale.In this paper,stochastic mathematical models are respectively built to describe annual utilization hours of wind turbine,photo-voltaic and annual demands of cold,heat,electricity load.Based on the stochastic models,this paper optimizes the allocation capacities of park integrated energy system equipment including electric/hea t storage,cogeneration and other energy devices in order to minimize equivalent annual investment operation cost containing energy storage revenue.Finally,the results under different confidence level requirements are discussed,which verify that the proposed stochastic planning model based on long time scale is effective in solving the capacity al ocation problem of park integrated energy system.