Abstract
Concentrating on byproduct gas system with multiple pipeline networks, this paper established a mathematical model for byproduct gas scheduling (BGS) problem in iron and steel enterprises with consideration of supply priorities of consumption units. A decomposition algorithm is employed to transform the original model into an integer programming and a linear programming. The genetic algorithm is introduced as the solution mainframe to solve the integer programming problem and the linear programming problem iteratively. The result of practical-data-based experiment indicates that the proposed model and algorithm are feasible and effective.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
