Operation Optimization of Natural Gas Transmission Pipelines Based on Stochastic Optimization Algorithms: A Review
Joint Authors
Li, Changjun
He, Yufa
Wu, Xia
Jia, Wenlong
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-12
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Operation optimization of natural gas pipelines has received increasing attentions, due to such advantages as maximizing the operating economic benefit and the gas delivery amount.
This paper provides a review on the most relevant research progress related to the steady-state operation optimization models of natural gas pipelines as well as corresponding solution methods based on stochastic optimization algorithms.
The existing operation optimization model of the natural gas pipeline is a mixed-integer nonlinear programming (MINLP) model involving a nonconvex feasible region and mixing of continuous, discrete, and integer optimization variables, which represents an extremely difficult problem to be solved by use of optimization algorithms.
A survey on the state of the art demonstrates that many stochastic algorithms show better performance of solving such optimization models due to their advantages of handling discrete variables and of high computation efficiency over classical deterministic optimization algorithms.
The essential progress mainly with regard to the applications of the Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Ant Colony Optimization (ACO), Simulated Annealing (SA) algorithms, and their extensions is summarized.
The performances of these algorithms are compared in terms of the quality of optimization results and the computation efficiency.
Furthermore, the research challenges of improving the optimization model, enhancing the stochastic algorithms, developing an online optimization technology, researching the transient optimization, and studying operation optimization of the integrated energy network are discussed.
American Psychological Association (APA)
Wu, Xia& Li, Changjun& He, Yufa& Jia, Wenlong. 2018. Operation Optimization of Natural Gas Transmission Pipelines Based on Stochastic Optimization Algorithms: A Review. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1205536
Modern Language Association (MLA)
Wu, Xia…[et al.]. Operation Optimization of Natural Gas Transmission Pipelines Based on Stochastic Optimization Algorithms: A Review. Mathematical Problems in Engineering No. 2018 (2018), pp.1-18.
https://search.emarefa.net/detail/BIM-1205536
American Medical Association (AMA)
Wu, Xia& Li, Changjun& He, Yufa& Jia, Wenlong. Operation Optimization of Natural Gas Transmission Pipelines Based on Stochastic Optimization Algorithms: A Review. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1205536
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205536