Study and Application of PSO in Heating Network Control

Due to the uncertainty of the thermal network energy transfer model and heat load,the heating network system is a typical system with complex,multi- variable,non- linear,time- varying,and large lag in the control study of the heating network system. In this paper,with the research target of heat production and distribution in heat network system,firstly optimization objective function was designed for the target of saving energy. Then according to the weather forecast for outdoor temperature forecast curve,the heat load change curve as a constraint condition was predicted. Finally,the particle swarm intelligent algorithm( PSO) was cited to calculate optimization problems,so that under the user heating demand and the specified time,the minimum value of heating was obtained to determine the thermal station distribution optimal value. This paper completed the simulation with Matlab,and the results prove the effectiveness of this method.