Research On Heat Distribution Of Central Heating Network Based On Genetic Algorithm

Compared with the traditional decentralized heating, the central heating hasunparalleled advantages in saving energy, reducing pollution and many other aspects.Especially in recent years, as the enhanced awareness of energy saving, the centralheating has been more widely used, it has become the most important method of heatingin northern China. However, the central heating network provides a wide area withheating, and the central heating network itself is a large delay, large inertia, nonlinearand strong coupling system, so that it can easily cause heat enthusiasm among the users,this seriously affect the heating quality.In view of the above problems, in this paper, it details the composing of the centralheating network, its working principle and the basic methods of heat regulation andcontrolling, focus on the heat distribution of the central heating network, after analyzingand summarizing the existing adjustment program, the heat distribution based onGenetic Algorithm is proposed. In this scheme, Genetic Algorithm which has thepowerfully global optimization capability has been used to distribute the flow of theprimary pipe network, it can control the water temperature of the second pipe networkand eliminate the difference of the heat between users. Furthermore, it can achieve thegoal of uniform heating and improve the quality of heating supply of the central heatingnetwork.In the end of the paper, it achieves the central heating network monitoring andcontrolling system based on the Windows XP platform with the Delphi developmenttools and SQL Server2000database, and the scheme of the Genetic Algorithm has beenapplied into system. Using the system, it can monitor and control the conditions of thecentral heating in detail. It also designs cases to verify the effect of the control programin the paper. Finally, it has analyzed and summarized the problems of the system, andthe heat distribution scheme which based on Genetic Algorithm has been improved according to the existing problems.