Research On Impedance Identification And Optimal Regulation Of Heating Network Based On Genetic Algorithm

With the popularity of heating metering system,the installation of temperature control device and differential pressure balance valve,the resistance coefficient of heating system changes in real time.These real-time change of resistance coefficient values reflect the current operation status of the pipe network,and also put forward higher requirements for the operation and regulation of heating pipe network.Therefore,it is important to understand the change of these variable resistance coefficients for heating.The operation and regulation of pipe network is of great significance.In order to realize the operation regulation of heat supply network and fully exploit the advantages of intelligent instruments,this paper uses the flow operation data of a residential quarter in Luoyang City,and studies the variable resistance coefficient of the secondary heat supply network on the premise of establishing the hydraulic condition model of the heat supply network.Taking the minimum energy consumption of circulating water pump as the objective function,this paper puts forward the circulating resistance coefficient of heat supply network based on impedance identification Pump operation mode.First of all,the identification of variable resistance coefficient of heating network is based on the modeling and Simulation of the network.Therefore,this paper first establishes the mathematical model of the hydraulic condition of heating network through the relationship among the continuity equation,momentum equation and energy equation of fluid mechanics,combined with the relevant theorems of network graph theory.There are many methods to solve the hydraulic condition model of heat supply network.The basic loop analysis method is used to solve the hydraulic condition model.The hydraulic model of heat supply network is established by computer,and the basic loop analysis method is used for iterative calculation.Then,under the condition of the establishment of the hydraulic condition model of the heating network,the optimization model of the variable resistance coefficient of the heating network is proposed under the condition of only flow observation points.The objective function is to minimize the error between the pipe flow obtained by the optimization identification calculation and the actual observation of the pipe flow.The law of conservation of energy,the law of conservation of mass,the pressure drop equation of the pipe section,and the resistance of the pipe section The reasonable range of the coefficient is the constraint condition,and the genetic algorithm is used to optimize the solution.The operation data of a residential area in Luoyang city is used to verify the optimization identification model.The verification results show that the optimization identification model meets the accuracy requirements of the project.Finally,aiming at the problems of the secondary heating network system,such as complex and changeable,mutual coupling,difficult to carry out reasonable operation and regulation,using the hydraulic working condition model and variable resistance coefficient optimization identification model established in the previous paper,this paper makes a preliminary evaluation of the hydraulic balance condition by the average deviation and the maximum deviation between the return water temperature and its average value,and finally makes a conclusion The working condition with better hydraulic balance condition is selected.The energy consumption model of secondary heating network is established under the selected working conditions,with the minimum energy consumption of circulating water pump as the goal and the high efficiency working area of circulating water pump as the constraint.Considering that the building has a certain inertia and the load will not change dramatically,the operation parameters of the circulating water pump are adjusted twice within 24 hours,which is conducive to the regulation and stable operation of the pipe network.The working condition of circulating water pump can be determined according to the working condition with the least energy consumption and better balance condition in the first 12 hours.