Multi-objective Dynamic Programming for the Optimal Operation of Natural Gas Production and Sales
The imbalance of the natural gas production and sales in China are being severely suffered from the spatial and temporal variabilities of the end-user demands of natural gas, and which leads to instability of its production and supply of upstream gas fields. Based on this, a multi-objective dynamic programming for its optimal operation is proposed and applied to the natural gas operation of a certain oil and gas company of Sinopec from the viewpoint of upstream gas fields to solve the aboved imbalance and instability in the continuous process of natural gas production and supply. Also, in this model genetic algorithms (Gas) is introduced to find the optimal operation strategies in avoidance of dimension disasters. Research indicates that this model can not only improve the balance between natural gas production and supply of gas fields, but also effectively coordinate the demands among the end-users.
natural gas production and sales optimal operation multi-objective dynamic operating genetic algorithms
Xiao-Lin Wang Jian-zhong Xiao
School of Economy and Management China University of Geosciences Wuhan, Hubei Province, China
国际会议
成都
英文
240-243
2010-06-12（万方平台首次上网日期，不代表论文的发表时间）