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contributor authorمحمد رضاییen
contributor authorمحمدحسین یغمائی مقدمen
contributor authorMohammad Rezaeefa
contributor authorMohammad Hossein Yaghmaee Moghaddamfa
date accessioned2020-06-06T13:47:31Z
date available2020-06-06T13:47:31Z
date issued2019
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/3369173?locale-attribute=en&show=full
description abstractWide Area Measurement System (WAMS) infrastructure is one of the most significant elements of the smart grid which measures, collects, and analyzes data in the power system. Fundamental components of the WAMS are Phasor Measurement Units (PMUs), Phasor Data Concentrators (PDCs) and its relevant applications. The PDC collects data from several different PMUs, integrates data and sends it to the control center. In order to achieve a stable implementation of WAMS, the communication structure should be reliable and meets the Quality of Service (QoS) requirements for various applications in the network. In this paper, we propose a novel WAMS communication infrastructure by utilizing the Software Defined Networking (SDN) technology, which can enhance the reliability of the corresponding networks. In the proposed model, in order to meet the applications QoS needs, the traffic flows are categorized into different class of services, and then by applying a QoS mechanism, along with a content-aware queuing algorithm, the maximum capacity for the critical traffic is obtained. This provides a low latency for critical WAMS applications. The proposed model has been implemented in the Mininet environment using the Ryu Controller. The implementation results indicate that the proposed infrastructure reduces end-to-end delay and packets loss and utilizes the network resources optimally.en
languageEnglish
titleSDN-based Quality of Service Networking for Wide Area Measurement Systemen
typeJournal Paper
contenttypeExternal Fulltext
subject keywordsWide Area Measurement System (WAMS)
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subject keywords
Phasor Measurement Units (PMUs)
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subject keywords
Software Defined Networking (SDN)
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subject keywords
Smart Grid
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subject keywords
Active Queue Management (AQM)
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identifier doi10.1109/tii.2019.2893865
journal titleIEEE Transactions on Industrial Informaticsfa
identifier linkhttps://profdoc.um.ac.ir/paper-abstract-1076899.html
identifier articleid1076899


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