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jiawenlong金虫 (正式写手)
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| 如题，文章题目：Optimal operation of trunk natural gas pipelines via an inertia-adaptive particle swarm optimization algorithm |
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论文终于录用啦！满足毕业条件了
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投稿Elsevier的杂志（返修），总是在选择OA和subscription界面被踢皮球
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Paulwolf
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【答案】应助回帖
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jiawenlong: 金币+10, ★★★★★最佳答案 2015-06-16 22:11:08
sunshan4379: LS-EPI+1, 感谢应助！ 2015-06-17 00:01:04
感谢参与，应助指数 +1
jiawenlong: 金币+10, ★★★★★最佳答案 2015-06-16 22:11:08
sunshan4379: LS-EPI+1, 感谢应助！ 2015-06-17 00:01:04
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Optimal operation of trunk natural gas pipelines via an inertia-adaptive particle swarm optimization algorithm 作者:Wu, X (Wu, Xia)[ 1 ] ; Li, CJ (Li, Changjun)[ 1,2 ] ; Jia, WL (Jia, Wenlong)[ 1 ] ; He, YF (He, Yufa)[ 3 ] JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING 卷: 21 页: 10-18 DOI: 10.1016/j.jngse.2014.07.028 出版年: NOV 2014 查看期刊信息 摘要 The trunk natural gas pipeline is the main transmission line between the gas fields and consumers. In this paper, an optimization model is built for the trunk natural gas pipelines, aiming in balancing the maximum operation benefit and the maximum transmission amount. The weight sum method was used to combine these two optimization goals into one hybrid objective function, and the weight value of each single objective function was determined by the scale method which was derived from the Analytic Hierarchy Method (AHP). Besides, the constraints concerning about the node's pressure, flow rate and temperature. The compressor's power and status, the pipe's pressure and temperature equations were also incorporated into the model. In view of the non-linear characteristic of the model, the particle swarm optimization (PSO) algorithm was employed to solve it, and the adaptive inertia weight adjusting method was adopted to improve the basic PSO for its premature defect. The improved PSO is named the inertia-adaptive PSO (IAPSO) algorithm. Finally, the operation optimization model was applied to a real trunk gas pipeline, and the IAPSO as well as other four PSO algorithms were adopted to solve the model. The IAPSO shows faster convergence speed and better solution results than those of the other four PSO algorithms. The achievements provide a good way to balance the gas pipeline's operation benefit and transportation amount. (C) 2014 Elsevier B.V. All rights reserved. 关键词 作者关键词:Natural gas pipeline; Operation optimization; Particle swarm optimization; Mathematical model KeyWords Plus:SYSTEMS; TRANSPORTATION; NETWORKS; MODEL 作者信息 通讯作者地址: Wu, X (通讯作者) Southwest Petr Univ, Sch Petr Engn, Chengdu 610500, Peoples R China. 地址: [ 1 ] Southwest Petr Univ, Sch Petr Engn, Chengdu 610500, Peoples R China [显示增强组织信息的名称] [ 2 ] Southwest Petr Univ, CNPC, Key Lab Oil & Gas Storage & Transportat, Chengdu 610500, Peoples R China [显示增强组织信息的名称] [ 3 ] CNOOC, Res Inst, Beijing 100027, Peoples R China 电子邮件地址:gamy-rushy@126.com 基金资助致谢 基金资助机构 授权号 National Natural Science Foundation of China 51174172 two sub-projects of the National Science and Technology Major Project of China 2011ZX05054 2011ZX05026-001-07 project of the Joint Research Fund for the Doctoral Program of Higher Education 20125121110003 查看基金资助信息 出版商 ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND 类别 / 分类 研究方向:Energy & Fuels; Engineering Web of Science 类别:Energy & Fuels; Engineering, Chemical 文献信息 文献类型:Article 语种:English 入藏号: WOS:000347743200003 ISSN: 1875-5100 eISSN: 2212-3865 期刊信息 Impact Factor (影响因子): Journal Citation Reports® 其他信息 IDS 号: AY7MC Web of Science 核心合集中的 "引用的参考文献": 31 Web of Science 核心合集中的 "被引频次": 2 |
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jiawenlong2楼2015-06-16 22:09:22
Paulwolf
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3楼2015-06-16 22:09:33
jiawenlong
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4楼2015-06-16 22:10:58