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論文名稱(中文) 在先進讀表基礎建設下經由機率性電表資料回報之網路觸發壅塞控制
論文名稱(英文) Network-Initiated Congestion Control via Opportunistic Metering Data Reporting in Advanced Metering Infrastructure
校院名稱 成功大學
系所名稱(中) 電腦與通信工程研究所
系所名稱(英) Institute of Computer & Communication
學年度 101
學期 2
出版年 102
研究生(中文) 郭明芳
研究生(英文) Ming-Fang Kuo
學號 q36001494
學位類別 碩士
語文別 英文
論文頁數 45頁
口試委員 指導教授-劉光浩
口試委員-劉維正
口試委員-張志文
中文關鍵字 智慧電網  先進讀表基礎建設  自動讀表 
英文關鍵字 Smart grid  Advanced metering infrastructure (AMI)  Automatic meter reading (AMR) 
學科別分類
中文摘要 智慧電網將會成為新一代電力系統,並在最近幾年獲得了相當的關注。在智慧電網中,智慧電表回報用電數據到控制中心,這個控制中心稱為電表數據管理系統。控制中心也會發送控制和命令信號到智慧電表。因此,雙向的通訊架構被稱為先進讀表基礎建設是必需的,用來支持控制中心和智慧電表之間即時,可靠的數據傳輸,而智慧電表在不久的將來會迅速成長。然而,支援大量的智慧電表可能會遇到許多問題。在本文中我們關注在壅塞控制問題上,雖然每個智慧電表以低速率傳輸小數據包,但整體流量可能會超過智慧電網的網路容量並導致核心網路嚴重的壅塞,這種不利的影響也可能會傳播到與控制中心分享的其他骨幹網路。
在這篇論文中,我們提出一個解決方法使每個智慧電表基於網路的壅塞水平來局部的調整數據回報的速率。當網路變的壅塞,壅塞節點發送一個信息給智慧電表,智慧電表根據發射概率p來調整數據回報的速率。我們使用NS-2模擬軟體來實現提出的方法,我們的方法在電表數量10000,p = 0.5和p = 0的情況下比較可以減少封包丟失率約20%。
英文摘要 Smart grids will be emerging as the next-generation electric power system and has
received considerable attention in recent years. In smart grids, smart meters report power
consumption data to the control center, referred to as the metering data management
system (MDMS). The MDMS also sends command and control signals to smart meters.
Thus, a two-way communication infrastructure called advanced metering infrastructure
(AMI) is required to support timely and reliably data exchange between the MDMS and
smart meters, whose number is expected to grow rapidly in the near future. However,
supporting a large number of meters may encounter many issues. In this thesis, we focus
on the congestion control problem that is critical to the successful deployment of smart
grids. Although each smart meter transmits small packets at a low rate, the overall traffic
volume may exceed the network capacity, resulting in severe congestions at the network
bottleneck. This adverse effect may also propagate to other types of internet traffic that
shares the same backbone with the MDMS.
In this thesis, we propose a solution that enables each smart meter to locally adjust its
data reporting rate based on the network congestion level. When the network becomes
congested, the congesting node sends a message to the smart meters, which then adjust
their data reporting rate based on an emission probability p. The proposed scheme is
implemented in NS-2 to validate its efficacy. With 10,000 meters, our approach is shown
to decrease the packet loss probability about 20% by setting p = 0:5.
論文目次 Contents
1 Introduction 1
1.1 Thesis Outline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2 Background and Literature Review 3
2.1 Advanced Metering Infrastructure (AMI) . . . . . . . . . . . . . . . . . 3
2.2 Network Congestion Issues . . . . . . . . . . . . . . . . . . . . . . . . . 5
2.3 Literature Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
3 System Model and Proposed Approach 9
3.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
3.2 Proposed approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
4 Simulation Results and Discussions 13
4.1 Simulation Setup . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
4.2 Results and Discussions . . . . . . . . . . . . . . . . . . . . . . . . . . 14
4.2.1 The Impact of Emission Probability . . . . . . . . . . . . . . . . 14
4.2.2 The Impact of Instantaneous Trac . . . . . . . . . . . . . . . . 17
4.2.3 Comparison of TCP and UDP . . . . . . . . . . . . . . . . . . . 20
5 Conclusions and Future Work 21
5.1 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
5.2 Future Works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
References 23
Appendix 26
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