The Research Of Optimization Control Of Heat Transfer Station Based On Load Forecasting

Heat exchanger station is an important part of the central heating system,and it is also the core of the heat network in the heat network,which is to complete the main heat energy distribution,its operation is a direct impact on the quality of heating the entire heating system.How to improve the level of heat exchanger station control,to achieve a comfortable and efficient On-demand heating has become an important issue in the heating industry.In this paper,a college heat exchanger station in Dalian as the research object,analysis of the current heat exchanger station exist the main problems are:1.According to the climate compensation calculated secondary net temperature setting,this method cannot accurately reflect the user's Heat demand;2.The control accuracy of the existing control algorithm is relatively low.In order to reflect the user's heat demand more accurately,studying the heat load forecasting,considering the under or overheating condition of the system,the paper establishes the hourly planning heat supply model and optimizes the setting value of the second network average temperature.In addition,aim at the low control accuracy of existing algorithms in heat transfer station,this paper proposes a fuzzy multi-state Bang_Bang control algorithm and applies it to practical systems.The specific research contents are as follows:Firstly,the time-dependent thermal load forecasting of heat transfer station is studied.On the basis of analyzing the advantages and disadvantages of the existing forecasting methods,the least-squares method was used to predict the hourly heat load according to the historical heating data.Based on this,the underheating or overheating condition was fully considered,Then,the theoretical model of heat and secondary net temperature is deduced according to the theory of heat supply,the under-heat or over-heat of this hour is calculated,and the average value of secondary net temperature is corrected in the next hour,Dynamic Optimization of Network Temperature Setting.Secondly,based on the analysis of the existing control algorithms,the working principle of the multi-state Bang_Bang control algorithm in the temperature control system of the heat exchange station is mainly studied.Aiming at the shortcoming of narrower controllable range in this algorithm,fuzzy theory is used to improve it,and fuzzy multi-state Bang_Bang control algorithm is proposed.The improved algorithm increases the control range by increasing the control range of the algorithm by periodically adjusting the threshold of the original algorithm within the range of the process.The Matlab simulation results show that the improved algorithm is 36%more accurate than the original algorithm.Finally,a set of remote monitoring system based on GPRS technology is designed,and the improved algorithm is verified.According to the field experimental data,it is proved that the improved control algorithm improves the control precision of the original control algorithm in the temperature control and temperature control stages by 54.6%and 27.3%respectively.In addition,the thermal comfort is significantly improved.The improved algorithm in the heat exchanger station temperature control system has achieved good results.