Research On Model Predictioin Smart Regulation Method Of District Heating System With Distributed Variable Speed Pumps

District heating system is an important infrastructure for people’s livelihood in our country.While solving the problem of winter heating,district heating system consumes a lot of energy which cannot be ignored.In recent years,scientists have proposed a new district heating system with distributed variable speed pumps(DVSP),it installs variable frequency pump on each user,replacing the regulating valve in the traditional heating system with conventional central circulating pump(CCCP),and supplying pressure head to the user through a separate water pump,to avoid the waste of pressure head,it can significantly save the energy consumption of the district heating system.The key of DVSP is the operation and maintenance part.Because the water power of each branch of the heating pipe network influences each other,how to coordinate the variable frequency water pumps in the DVSP is a major difficulty.With the gradual development of ‘smart city’,‘smart heating’,‘big data’ and a series of concepts and computer technology,as well as the increasingly widespread application of DVSP,it is particularly important to develop a control and regulation method suitable for DVSP.In the face of this situation,this paper puts forward a smart regulation method based on indoor temperature predictive control for the DVSP.The specific work is as follows:Firstly,aiming at the hydraulic coupling problem of DVSP,this paper puts forward the smart regulation method for the DVSP,including building data monitoring,building indoor temperature prediction,hydraulic solution of pipe network and unified regulation of water pump.Secondly,this paper relies on the energy consumption platform of Dalian University of Technology to carry out data monitoring for some buildings,applicates LSTM neural network method to establish the building indoor temperature prediction model,simulates and studies the building thermal entrance regulation method combined with particle swarm optimization(PSO)and model predictive control(MPC),presents the smart regulation method of building thermal entrance.The method can adjust the system flow rate in time in response to the change of weather factors,and the control effect is good with the error within ±0.5℃.Thirdly,in this paper,the hydraulic and thermal models of the DVSP of secondary network are established,the smart regulation of distributed heating system of secondary network are simulated,the results show that under changing weather conditions,the indoor temperature of each user can be stabilized at the set value,the user circulating pumps and the heat source circulating pump work together and run efficiently.Finally,this paper discusses the optimal position selection of zero pressure margin and the energy consumption of DVSP,and simulates the energy consumption of DVSP which adopts phased variable water supply temperature regulation and traditional heating system in the whole heating season.In this paper,a set of smart regulation method for DVSP is put forward.The method adjusts all pumps uniformly,and solves the common coupling problem of branches in heating pipe network.At the same time,the prediction model of building indoor temperature is established by using big data monitoring,and the smart regulation method of building thermal entrance is proposed,which provides a new solution for smart heating.This paper mainly uses the method of simulation for research,and how to apply it in practice and how to perform in practice still needs further discussion.