TY - JOUR
T1 - Software Defined Networks-Based Smart Grid Communication
T2 - A Comprehensive Survey
AU - Rehmani, Mubashir Husain
AU - Davy, Alan
AU - Jennings, Brendan
AU - Assi, Chadi
N1 - Funding Information:
The global environment for network innovation (GENI) [110] is a testbed facility provided by National Science Foundation (NSF), USA, to the researchers to evaluate thier newly developed algorithms and prototypes. GENI testbed also supports the programmability facility as SDN (OpenFlow), which is the integral part of it. Using GENI and considering the strict deadline of two weeks, the authors in [109] deployed an OpenFlow SDN controller for SG DR application. In this regard, authors developed two algorithms: a control logic algorithm for load shedding and the second algorithm for link failure. The goal was to see if MPLS-like functionalities can be achieved or not in commercially available hardware switches through SDN and it was shown that such functionalities can be achieved easily. The deployed SDN controller is capable of guaranteeing the required QoS, provides fast failover mechanism, and supports load balancing.
Funding Information:
Manuscript received January 14, 2018; revised July 11, 2018, December 2, 2018, and February 16, 2019; accepted March 22, 2019. Date of publication March 29, 2019; date of current version August 20, 2019. This work was supported in part by the Science Foundation Ireland and in part by the European Regional Development Fund under Grant 13/RC/2077. (Corresponding author: Mubashir Husain Rehmani.) M. H. Rehmani was with the Telecommunications Software and Systems Group, Waterford Institute of Technology, X91 K0EK Waterford, Ireland. He is now with the Department of Computer Science, Cork Institute of Technology, T12 P928 Cork, Ireland (e-mail: [email protected]).
Publisher Copyright:
© 1998-2012 IEEE.
PY - 2019/7/1
Y1 - 2019/7/1
N2 - The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid also known as, smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication (SGC) system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SGC system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. By separating the control plane from the data plane, SDN helps the network operators to manage the network flexibly. Since SG heavily relies on communication networks, therefore, SDN has also paved its way into the SG. By applying SDN in SG systems, efficiency and resiliency can potentially be improved. SDN, with its programmability, protocol independence, and granularity features, can help the SG to integrate different SG standards and protocols, to cope with diverse communication systems, and to help SG to perform traffic flow orchestration and to meet specific SG quality of service requirements. This paper serves as a comprehensive survey on SDN-based SGC. In this paper, we first discuss taxonomy of advantages of SDN-based SGC. We then discuss SDN-based SGC architectures, along with case studies. This paper provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC.
AB - The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid also known as, smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication (SGC) system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SGC system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. By separating the control plane from the data plane, SDN helps the network operators to manage the network flexibly. Since SG heavily relies on communication networks, therefore, SDN has also paved its way into the SG. By applying SDN in SG systems, efficiency and resiliency can potentially be improved. SDN, with its programmability, protocol independence, and granularity features, can help the SG to integrate different SG standards and protocols, to cope with diverse communication systems, and to help SG to perform traffic flow orchestration and to meet specific SG quality of service requirements. This paper serves as a comprehensive survey on SDN-based SGC. In this paper, we first discuss taxonomy of advantages of SDN-based SGC. We then discuss SDN-based SGC architectures, along with case studies. This paper provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC.
KW - Software defined network (SDN)
KW - advanced metering infrastructure (AMI)
KW - home area networks (HANs)
KW - network management
KW - renewable energy resources (RERs)
KW - smart grid (SG)
UR - http://www.scopus.com/inward/record.url?scp=85071614323&partnerID=8YFLogxK
U2 - 10.1109/COMST.2019.2908266
DO - 10.1109/COMST.2019.2908266
M3 - Article
AN - SCOPUS:85071614323
SN - 1553-877X
VL - 21
SP - 2637
EP - 2670
JO - IEEE Communications Surveys and Tutorials
JF - IEEE Communications Surveys and Tutorials
IS - 3
M1 - 8676311
ER -