Application Of Heat Transfer Stations Control Based On Improved Genetic Algorithm

In recent years, with the rapid development of urban construction and the continuous improvement of people's living standard, everyone pay more and more attention on the comfort of indoor heating in winter.Winter heating is mainly used in north China, however with the rapid development of the real estate industry in recent years, people have a larger space of living area, thereby we need more energy to supply the increasing demands of the heating area. How to use energy efficiently and reduce the environmental pollution, and improve the heating effect at the same time? It has become the major problem of the heating industry. Central heating is a complicated system which consists of heat, heat networks and heat users. Heating power station plays an important role on the heat transfer, it connects the source of heat with the heat users, regulating and converting the heat and transferring heat to the users to meet their demands. Currently most of the heat transfer station mainly use qualitative-adjustment method which is a relatively simple way, and the temperature control of heat transfer station is still rest on manual operation phase, there is no comprehensive data information, we regulate the temperature only with the experience of people, this method affects the quality of heating and results in uneven temperature-alternately high or low, it is difficult to meet the needs of users. In recent years, in order to save energy and take the sustainable development path, meanwhile improve requirements about the quality of the heating,people pay more and more attention on changing the way of the regulation of heat, and realize that the intelligent control algorithm can be applied to the heat transfer station.There are four main ways of regulation of heat transfer station:quality regulation, volume regulation, quality-volume regulation and intermittent regulation. This study is object on the first heat transfer station of Shenyang Architecture University, the high-rise buildings are the heat users. In this paper, in order to ensure the water temperature of the second circuit and to meet the heat users'needs, we use the quality-volume regulation method which can regulate the temperature and volume together. When using the quality-volume regulation method, for the quality regulation, we regard the opening water supply valve of the first circuit as a controlling variable, and water temperature of the second circuit as a controlled variable; for the volume regulation,we regard the speed of circulating water pump of the second circuit as a controlling variable, and the water volume of the second circuit as a controlled variable. We use the two channels simultaneously, then we can achieve the purpose of improving the heating effect. When analyzing the coupling of the quality regulation and volume regulation, we find out that there is a strong coupling between the two channels, and for the strong coupling, we use the RBF neural network decoupling controller to decouple the strong coupling effects present in the system, after decoupling quality channel and volume channel can be seen as two independent control loops. For the two loops, traditional PID can not achieve the ideal effect, in order to control the heating process better, in the paper we use the ant colony algorithm and genetic algorithm together, using the advantages of both algorithms, and put the fusion algorithm into use in the PID parameter tuning of quality regulation and volume regulation loop, using MATLAB confrontation in the simulation study of quality regulation and volume regulation, and comparing the simulation results with ant colony algorithm and genetic algorithm separately. Observing the simulation curve, we find that the fusion of ant colony algorithm and genetic algorithm can achieve a better effect of control both in the transition of time and in the overshoot.