Short-Term Scheduling of Crude-Oil Operations: Enhancement of Crude-Oil Operations Scheduling Using a Petri Net-Based Control-Theoretic Approach

Document Type

Article

Publication Date

6-1-2015

Abstract

To effectively operate a refinery and make it competitive, efficient short-term scheduling techniques that utilize commercial software tools for practical applications need to be developed. However, cumbersome details make it difficult to solve the short-term scheduling problem (STSP) of crudeoil operations, and mathematical programming models fail to meet the industrial needs. This article proposes an innovative control-theoretic and formal model-based method to tackle this long-standing issue. This method first models the STSP as a hybrid Petri net (PN) and then derives critically important schedulability conditions. The conditions are used to decompose a complex problem into several tractable subproblems. In each subproblem, there are either continuous variables or discrete variables. For subproblems with continuous variables, this work proposes a linear programming-based method to solve them; while, for subproblems with discrete variables, this work adopts efficient heuristics. Consequently, the STSP is efficiently resolved, and the application of the proposed method is well illustrated via industrial case studies.

Identifier

85027923444 (Scopus)

Publication Title

IEEE Robotics and Automation Magazine

External Full Text Location

https://doi.org/10.1109/MRA.2015.2415047

e-ISSN

1558223X

ISSN

10709932

First Page

64

Last Page

76

Issue

2

Volume

22

Grant

61273036

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