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研究生: 葉承翰
Yeh, Cheng-Han
論文名稱: AMI通訊網路上減少資料流量之新策略
Novel Scheme for Reducing Communication Data Traffic in Advanced Metering Infrastructure Networks
指導教授: 謝孫源
Hsieh, Sun-Yuan
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年: 2016
畢業學年度: 104
語文別: 英文
論文頁數: 54
中文關鍵詞: 網路通訊先進讀表基礎建設智慧電網智慧電表集中器資料流量
外文關鍵詞: Communication Network, Advanced Metering Infrastructure, Smart Grid, Smart Meter, Concentrator, Data Traffic
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  • 智慧電網使用自動化和訊息通訊的技術來建構完整的智能電網。建構智慧電網的首要步驟是先進讀表基礎建(AMI)的部署,它可以讀取電表資料進而使得能源的使用更有效率。其中,資料利用有限的網路資源來達到傳送的目的。根據AMI架構,它包含電表數據管理系統(MDMS),集中器(Concentrator)和智慧電表(Smart Meter),並收集數千個以上的用戶資訊並提供所需的服務。其中,集中器為智能電表和控制中心的一個中繼站。然而,在此系統中存在一些問題:控制中心的負載,資料流量和整體資料量。這些問題會對系統造成影響。因此,本文著重於分析不同的流量情況並降低傳輸頻率和整體資料量。我們利用集中器降低智慧電表與控制中心之間的傳輸頻率,也同時降低總資料量。我們提出的方法主要分成兩個階段來降低傳輸頻率和總資料量。此外,我們的方案也可以減少控制中心的負載。

    Smart Grid uses technologies of automation and information communication to construct the Integrity Smart Grid. The primary step of Smart Grid construction is the deployment of Advanced Metering Infrastructure (AMI), which could read the meter data automatically and make the usage of energy efficiently. Messages are collected distributively and sent through limited network resources. Under the AMI architecture, it contains merer data management system, concentrator and smart meter that provides the information collection of thousand users. Concentrator is a relay station in the middle of smart meters and control center. There are some issues upon this system: the loading of control center, the amount of data traffic and the size of total data. This paper focus on analysing different situation of data traffic for reducing transmission frequency and total data volume. We use concentrator for reducing transmission frequency from smart meters to control center which also reduces the total data volume. We have two phases for reducing the transmission frequency and the total data volume. Moreover, our scheme could reduce the loading of control center.

    1 Introduction 1 2 Related Work 8 2.1 The Problem on AMI 8 2.2 The Reduction of Loading on AMI 9 2.3 The Reduction of Data Size on AMI 10 2.4 The Concept on WSN 11 3 The Concept of Proposed Scheme 13 4 The Proposed Algorithm 17 4.1 Combination Phase 17 4.1.1 Analysis of Combination 18 4.1.2 Combination after Analysis 23 4.2 Compaction Phase 24 4.2.1 Fully Compaction Scheme 24 4.2.2 Loosely Compaction Scheme 27 4.2.3 Compaction Recovery Scheme 32 5 Experimental Results 35 5.1 Combination Phase 35 5.1.1 Effect of Arrival Rate 36 5.1.2 Effect of Validity Time Twait 37 5.1.3 Effect of Capacity Size C 39 5.2 Compaction Phase 43 5.2.1 Performance of Fully Compaction Scheme 43 5.2.2 Performance of Loosely Compaction Scheme 43 6 Conclusion 47 Bibliography 49

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