Partially observable Markov decision processes for optimal operations of gas transmission networks

被引：18

作者：

Compare, Michele ^{[1
,2
]}

Baraldi, Piero ^{[1
]}

Marelli, Paolo ^{[1
]}

Zio, Enrico ^{[1
,2
,3
,4
]}

机构：

[1] Politecn Milan, Dept Energy, Milan, Italy

[2] Aramis Srl, Zafferana Etnea, Italy

[3] PSL Res Univ, CRC, MINES ParisTech, Sophia Antipolis, France

[4] Kyung Hee Univ, Coll Engn, Dept Nucl Engn, Seoul, South Korea

来源：

RELIABILITY ENGINEERING & SYSTEM SAFETY | 2020年 / 199卷

关键词：

Partially observable Markov decision Processes; Prognostics and health management; Degradation state estimation errors; Gas transmission network; PLANNING STRUCTURAL INSPECTION; MAINTENANCE POLICIES; OPTIMIZATION; RELIABILITY; MODEL; MINIMIZATION; CONSUMPTION; ALGORITHMS; FRAMEWORK; SYSTEM;

D O I：

10.1016/j.ress.2020.106893

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

We develop a decision-support framework based on Partially Observable Markov Decision Processes (POMDPs) for the management of Gas Transmission Networks (GTNs) operations, encoding realistic degradation state estimations provided by Prognostics and Health Management (PHM) systems, while considering demand variations and the effects of the management decisions on the GTN degradation evolution. This Operation and Maintenance (O&M) framework allows optimally operating a GTN. Furthermore, the economic impact of using PHM systems with different accuracy levels can be estimated. The approach is shown with reference to a GTN of the literature.

引用

页数：14

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