Optimal Scheduling Of Integrated Energy System With Improved Model Of Ground-source Heat Pump

Since traditional fossil energy sources such as coal and petroleum are not renewable,improving energy efficiency,developing new energy sources,and strengthening the comprehensive utilization of renewable energy are inevitable choices for energy development.This paper focused on the optimal scheduling problem of integrated energy systems including ground-source heat pumps,combined heat and power systems(CCHP),and various energy supply and energy storage equipments.Firstly,operation models of various energy supply,conversion and storage equipments were establised.Based on the traditional component models,the nonlinear relationship between the equipment efficiency value and the load rate is considered in order to describe the operation characteristics of components more accurately.Secondly,the operating model of ground source heat pumps was improved according to the actual application cases of ground source heat pumps.The continuous output viable in the traditional model was divided into four degrees according to the cooling and heating operation conditions,and also the cooling and heating efficiency values of each degree were defined..Thirdly,a day-ahead optimal scheduling model of the integrated energy system was established.The optimization objective is to minimize the total operation cost,including fuel costs,interaction fares with external power grids,and battery life loss costs;The constraints include energy supply and demand balance constraints,equipments operating constraints and energy conversion coupling constraints.Fourthly,considering the initial state of charge(SOC)of the energy storage equipment will affect the scheduling results,the established model treated the initial SOC value as optimization variables in order to maximize the role of the energy storage equipments.Finally,the established model was linearized,and the mixed integer linear programming method of CPLEX solver is applied by MATLAB software to solve the model.The simulation results verified the correctness and effectiveness of the model.