Genetic Algorithm In A Centralized District Heating Network In The Flow Regulator

District Heating Network is one of the most important fundamental constructions in modern cities. The adjusting and control methods for the middle and large-sized Heating Network available in China is thoroughly discussed in the first part of this paper in two aspects: need-based heating method and even distribution heating method.In order to realize the macro control of the District Heating Network, Genetic Algorithm is used, which has the function of optimization in the overall solution area. On the basis of Shenyang Huanggu Heating Network, which is an indirect connection network, the control strategy based on Genetic Algorithm is presented and discussed thoroughly in the second part of this paper. Using this method, the flowrate in the primary heating network is distributed evenly according to the heating load of the secondary heating network, which is the so called even distribution method. According to the simulation result, this control strategy is effective. It can make the average temperature of the supplying water and return water in every substation tends to be equal, which guarantees well-proportioned flow distribution in the primary heating network. Meanwhile, a comfortable living environment can be created in people's daily life.In the last part, the control method based on Genetic Algorithm is applied on the realtime supervisory and control system for Huanggu Heating Network. Some problems occurred during the application process are presented in the paper. After analyzing the possible reasons, an improved method is presented in the end.