| The demand response technology of distributed energy system participating in building flexible load based on triple power supply is one of the research hotspots of building energy efficiency control.This paper studies the demand response of distributed energy participating in building flexible load based on Shanghai State Grid office building.This paper analyzes the development of the Combined Cooling heating and Power distributed energy in flexible load demand response,and establishes,tests and evaluates the load prediction model of the cold,heat and power distributed energy storage central air conditioning system.According to the load forecasting model,the air conditioning load required during the working day is obtained.The refrigerating unit uses the valley time electricity price to refrigerate at night,and the chilled water required by the air conditioning system during the day is stored in the heat storage tank.In order to respond to the complex environment and equipment conditions,a target optimization control model is established,which takes comfort and operating cost into account.The influence of uncertain factors on the optimal control strategy in practical engineering is dealt with by chance constrained programming and random sampling methods,and the particle swarm optimization algorithm is preliminarily applied to the control optimization between the three combined distributed energy storage equipment and energy consumption equipment.The software and hardware verification platform is built,and the control effect of the related algorithm is verified by comparing the control strategy of the energy center equipment and analyzing the data. |