Estimation of distribution algorithm based gas scheduling method

An estimation of distribution algorithm based gas scheduling method is proposed to optimize gas utilization with less emission. Firstly, gas energy flow network (G-EFN) is analyzed, the mathematical model of the gas scheduling is presented. Secondly, the process priority related to gas distribution is given, and a two-stage gas scheduling method is proposed. The major concern of the first stage is to satisfy basic energy requirement of each process. The second stage is to optimize the gas distribution among the processes by using an improved estimation of distribution algorithm to obtain efficient gas utilization with less emission. Finally, a typical iron and steel enterprise is taken as an example to support the argument. The simulation results show that the proposed method can decrease the gas emission to a significant level.