Research On Optimal Dispatch Of Building Integrated Energy System Considering Demand Response

Under the premise of vigorously promoting the "third industrial revolution",the energy Internet came into being.In this context,with the power system as the core,the integrated energy system,which integrates natural gas,renewable energy,thermal energy,cold energy and other forms of energy,has gradually developed.With the increasing of the total amount of buildings in our country,building energy system has become an important research field to solve the energy problem in our country.On the one hand,the coupling transformation and interaction of various energy systems make it more difficult to optimize the scheduling of building integrated energy system.On the other hand,driven by the demand side management strategy,the demand response technology can be more actively and flexibly applied to the scheduling operation,providing a more economic,stable and safe optimal scheduling means for building integrated energy system.Based on this,this paper studies the subject from the following aspects.First,this paper introduces the concept and research status of building integrated energy system,and analyzes its composition,development,advantages and other aspects.Then,five kinds of energy system models are established,including photovoltaic power generation system,central air conditioning system,CCHP system,energy storage system and energy storage elements,and their principles and characteristics are introduced.This paper puts forward demand side management strategy,divides building load into three categories according to load characteristics,and introduces demand response technology.After that,taking the lowest operation cost of building integrated energy system as the objective function,based on the cold electricity cogeneration system,the optimal scheduling model of building integrated cold electricity energy system is constructed,the basic particle swarm optimization algorithm is introduced,and then the weight is improved to improve its convergence speed and optimization effect.The application of cold storage tank and the influence of stochastic weight particle swarm optimization algorithm on the optimization performance of building cold electricity comprehensive energy system model are analyzed by simulation.The results show that compared with the rule-based control strategy,the random weight particle swarm optimization algorithm can improve the load distribution and has more advantages.At the same time,the use of cold storage tank can also reduce the operating cost of building energy,optimize the structure of building energy,and promote the peak load and valley load of power grid.At last,taking the CCHP system as the core,adding gas-fired boiler and battery,the comprehensive energy system of building cold heat electricity is constructed.At the same time,considering the demand response compensation and taking the lowest building operating cost as the objective function,an optimal scheduling model of building cold heat electricity comprehensive energy system based on demand response is established,and the system model is optimized by using the cloud model particle swarm optimization algorithm.A simulation example is introduced to compare the two different modes of whether to participate in the demand response,and the optimization performance of the cloud model particle swarm optimization algorithm and the basic particle swarm optimization algorithm.The results show that the cloud model particle swarm optimization algorithm based on demand response can effectively save the operation cost of building cold heat electricity comprehensive energy system,reduce the peak valley difference of power grid side load,and improve the reliability of power grid.