TY - GEN
T1 - Scheduling crude oil operations in refineries with genetic algorithm
AU - Hou, Yan
AU - Wu, Naiqi
AU - Zhou, Mengchu
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/5/25
Y1 - 2016/5/25
N2 - With the hybrid characteristics of a refinery, it is very challenging to schedule crude oil operations. This work intends to solve this scheduling problem by decomposing it into two sub-problems hierarchically. At the upper level, a refining schedule is found, while a detailed schedule is obtained to realize it at the lower level. Given a refining schedule at the upper level, this work focuses on the detailed scheduling problem at the lower level. Based on a control-theoretic perspective, the problem is transferred to a problem of assigning charging tanks to distillers such that meta-heuristics can be applied. Then, a genetic algorithm (GA) approach is innovatively developed to solve it. An industrial case study is used to show the application of the proposed approach. It shows that the method works well and is applicable to real-life problems.
AB - With the hybrid characteristics of a refinery, it is very challenging to schedule crude oil operations. This work intends to solve this scheduling problem by decomposing it into two sub-problems hierarchically. At the upper level, a refining schedule is found, while a detailed schedule is obtained to realize it at the lower level. Given a refining schedule at the upper level, this work focuses on the detailed scheduling problem at the lower level. Based on a control-theoretic perspective, the problem is transferred to a problem of assigning charging tanks to distillers such that meta-heuristics can be applied. Then, a genetic algorithm (GA) approach is innovatively developed to solve it. An industrial case study is used to show the application of the proposed approach. It shows that the method works well and is applicable to real-life problems.
KW - Genetic algorithm
KW - crude oil operations
KW - short-term scheduling
UR - http://www.scopus.com/inward/record.url?scp=84978039703&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84978039703&partnerID=8YFLogxK
U2 - 10.1109/ICNSC.2016.7478968
DO - 10.1109/ICNSC.2016.7478968
M3 - Conference contribution
AN - SCOPUS:84978039703
T3 - ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control
BT - ICNSC 2016 - 13th IEEE International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Networking, Sensing and Control, ICNSC 2016
Y2 - 28 April 2016 through 30 April 2016
ER -