Software Defined Networking Applied to the Heterogeneous Infrastructure of Smart Grid

被引:0
|
作者
Rinaldi, Stefano [1 ]
Ferrari, Paolo [1 ]
Brandao, Dennis [2 ]
Sulis, Sara [3 ]
机构
[1] Univ Brescia, Dept Informat Engn, Brescia, Italy
[2] Univ Sao Paulo, Dept Elect Engn, Sao Carlos, SP, Brazil
[3] Univ Cagliari, Dept Elect & Elect Engn, Cagliari, Italy
关键词
Software Defined Network; Smart Grid; Network Manager; Heterogeneous Network; Quality of Service; COMMUNICATION ARCHITECTURE; AUTOMATION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The increased need for power quality monitoring and active control of distribution grid necessitates the introduction of the Smart Grid (SG) approach, requiring an efficient ICT system for the monitoring and control of distribution grid state. The main obstacle to deployment of SG in real system is the lack of an efficient communication infrastructure. The use a heterogeneous network, which employs various technologies, appears to be the most promising solution. Nevertheless, the management of these communication systems has proven to be hard and error prone. In this paper, a Software Defined Networking (SDN) approach has been proposed to manage SG communication system applied to grid monitoring/supervision. The preliminary feasibility analysis is promising, although a more detailed modeling and analysis of the system is needed due to the extreme heterogeneity of the network.
引用
收藏
页数:4
相关论文
共 50 条
  • [41] A Distributed Software Defined Networking Model to Improve the Scalability and Quality of Services for Flexible Green Energy Internet for Smart Grid Systems
    Qureshi, Kashif Naseer
    Hussain, Raza
    Jeon, Gwanggil
    COMPUTERS & ELECTRICAL ENGINEERING, 2020, 84
  • [42] IP Session Continuity in Heterogeneous Mobile Networks Using Software Defined Networking
    Bojovic, Petar D.
    Bojovic, Zivko
    Bajic, Dragana
    Senk, Vojin
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2017, 19 (06) : 563 - 568
  • [43] A reinforcement learning optimization for future smart cities using software defined networking
    Kulandaivel Rajkumar
    Manikandan Ramachandran
    Fadi Al-Turjman
    Rizwan Patan
    International Journal of Machine Learning and Cybernetics, 2021, 12 : 3221 - 3233
  • [44] Routing in Heterogeneous Vehicular Networks using an adapted Software Defined Networking approach
    Rayeni, Mehdi Sharifi
    Hafid, Abdelhakim
    2018 FIFTH INTERNATIONAL CONFERENCE ON SOFTWARE DEFINED SYSTEMS (SDS), 2018, : 25 - 31
  • [45] Implementing Traffic Distribution Function of Smart OSPF in Software-Defined Networking
    Oki, Eiji
    Nakahodo, Yasunori
    Naito, Takashi
    Okamoto, Satoru
    2015 21ST ASIA-PACIFIC CONFERENCE ON COMMUNICATIONS (APCC), 2015, : 239 - 243
  • [46] Enabling Software-Defined Networking for Wireless Mesh Networks in Smart Environments
    Patil, Prithviraj
    Hakiri, Akram
    Barve, Yogesh
    Gokhale, Aniruddha
    15TH IEEE INTERNATIONAL SYMPOSIUM ON NETWORK COMPUTING AND APPLICATIONS (IEEE NCA 2016), 2016, : 153 - 157
  • [47] Software-Defined Heterogeneous Vehicular Networking: The Architectural Design and Open Challenges
    Mahmood, Adnan
    Zhang, Wei Emma
    Sheng, Quan Z.
    FUTURE INTERNET, 2019, 11 (03):
  • [48] SDNBroker: Heterogeneous Cloud Serving Systems over Software-Defined Networking
    Chen, Jiann-Liang
    Ma, Yi-Wei
    Chiu, Po-Sheng
    Jiang, Da-Wei
    2014 INTERNATIONAL CONFERENCE ON COMPUTER, INFORMATION AND TELECOMMUNICATION SYSTEMS (CITS), 2014,
  • [49] BlockSDN: Blockchain-as-a-Service for Software Defined Networking in Smart City Applications
    Aujla, Gagangeet Singh
    Singh, Maninderpal
    Bose, Arnab
    Kumar, Neeraj
    Han, Guangjie
    Buyya, Rajkumar
    IEEE NETWORK, 2020, 34 (02): : 83 - 91
  • [50] A reinforcement learning optimization for future smart cities using software defined networking
    Rajkumar, Kulandaivel
    Ramachandran, Manikandan
    Al-Turjman, Fadi
    Patan, Rizwan
    INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2021, 12 (11) : 3221 - 3233