| With the progress of urbanization in recent years,the environmental problems caused by the traditional energy supply mode have become more and more obvious.The integrated energy system has been developing rapidly in recent years,and its characteristics of energy ladder utilization,multiple energy sources coupling and coordination,and renewable energy generation can meet the requirements of new energy system in China.Therefore,this paper introduces demand response on the basis of building integrated energy system optimal dispatching model and solves the optimal dispatching results using intelligent algorithms to improve the energy interaction effect between smart buildings and power grids.First,the structural framework of the integrated building energy system is built,the operating characteristics and mathematical model of each device in the system are given,and the demand response technology and the classification of building loads are introduced.Second,an optimal scheduling model targeting operation and maintenance costs and environmental costs is established,and the operating constraints of each device in the system are specified.Then,the multi-objective ant-lion optimization algorithm required to solve the model is introduced,and its population generation and location change are improved and validated by simulation.The results show that the convergence and distributivity of the improved algorithm are effectively improved,and the optimization-seeking capability is enhanced.Finally,the simulation analysis is carried out by setting three different scenarios to verify the feasibility of the demand response technique and the effectiveness of the algorithm improvement method.The simulation results show that the demand response technique and the algorithm improvement method can effectively reduce the comprehensive cost of the system and realize the stable operation of the system. |