Open AccessResearch on Load Distribution Algorithm of Central Heating Network
Author(s) -
Haijiao Whang,
Jianhua Yang,
Wei Lu,
Zhipeng Duang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/677/3/032033
Subject(s) - particle swarm optimization , heating system , heat exchanger , matlab , pid controller , computer science , thermal , control theory (sociology) , temperature control , engineering , control engineering , algorithm , control (management) , mechanical engineering , meteorology , physics , artificial intelligence , operating system
Hydraulic and thermal imbalance is very common in central heating system, resulting in energy loss and poor heating experience of heat users. In order to solve the problem of hydrothermal imbalance, a control method based on Modeling and Simulation of central heating system and PSO particle swarm optimization algorithm is proposed. Firstly, the mathematical modeling and analysis of the hydraulic and thermal conditions of the central heating system are carried out, and the actual operation of the system is simulated by using MATLAB/Simulink to build and simulate the model of the central heating system. Then, the valves of each heat exchanger station are analyzed by using particle swarm optimization (PSO) with the variance of return water temperature as the control objective, and the appropriate valve openings are calculated iteratively, so as to solve the problem of hydro-thermal imbalance in the central heating system. The traditional PID control method is used to carry out comparative experiments. The experiment shows that the particle swarm optimization method performs better than the PID control method. The return water temperature of the heat exchanger station is similar, and it can meet the heating demand better.