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Research On The Complexity And Robustness Of Natural Gas Pipeline Network Based On Complex Network Theory

Posted on:2018-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:N YangFull Text:PDF
GTID:2371330596954030Subject:Oil and Gas Storage and Transportation Engineering
Abstract/Summary:PDF Full Text Request
As the total mileage continually increases,the structure of the natural gas pipeline network will become more and more complex,and then the system gradually presents complex trend.Complex network topology is easy to make the network exist inherent structure defects,which can be a threaten to the safe operation of the gas pipeline network.At present,to ensure the safe and reliable operation of natural gas pipeline network has become a research hotspot.However,very few studies have taken into account the complexity of the natural gas pipeline network and its possible impact.In order to understand the complexity of the natural gas pipeline network and the performance of the network when its structure changes,this paper studies the complexity and robustness of natural gas pipeline network system based on complex network theory.With reference to the method and experience of network complexity and robustness research in other fields,this paper analyses the complexity of the natural gas pipeline network in detail and explores the evolution mechanism of this network(that is,what causes the complexity of the natural gas pipeline network).Finally,combined with the operating characteristics of natural gas pipeline network,this paper puts forward the natural gas pipeline network robustness evaluation method.The complexity analysis is helpful to increase the understanding of the pipeline network topology,and it is also the basis of the research on the evolution mechanism of the pipeline network.The results of this paper show that the natural gas pipeline network has small-world characteristics when the natural gas station is chosen to become the express scale.The transfer capability of the material in a dynamical system with small-world characteristics will be enhanced,so the natural gas pipeline network is an efficient dynamical system.This paper also studies the structural characteristics creatively.It defines the expression of pipeline network structure.The results show that the 3-3 structure and 3-4 structure are the main structure of the natural gas pipeline network.The research on the evolution mechanism is helpful to understand the causes of the complexity of the pipeline network from the microscopic point of view,which is also helpful to understand the dynamic behavior of the network,and also provides the basis for the establishment of the pipeline network evolution model.The results of this paper show that the dendritic structure,economic factor,geographic factor and random factor cause the small-world characteristics of the pipeline network.The natural gas pipeline network robustness evaluation method is helpful to identify the key components of the system and understand the response of the pipeline network facing the structural change.This robustness evaluation method can provide a theoretical reference for the security and stability of the natural gas pipeline network.In this paper,the robustness of the natural gas pipeline network is evaluated according to the proposed method.When the pipeline network faces the random attack represented by pipeline accident caused by natural disasters or component failure,the pipeline network can show strong robustness.However,the pipeline network’s robustness is very weak in front of the target attack represented by terrorist attack.The performance of the pipeline network is different when facing different kinds of random attacks.When the network faces the random attack which is represented by the component failure,it shows more robust than the random attack which is represented by the pipeline accident caused by natural disasters.
Keywords/Search Tags:Natural gas pipeline network, Complex networks theory, Complex characteristics, Evolution mechanism, Robustness evaluation method
PDF Full Text Request
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