OpenAMI: Software-Defined AMI Load Balancing

The advanced metering infrastructure (AMI) is one of the main services of smart grid (SG), which collects data from smart meters (SMs) and sends them to utility company meter data management systems (MDMSs) via a communication network. In the next generation AMI, both the number of SMs and the meter sampling frequency will dramatically increase, thus creating a huge traffic load which should be efficiently routed and balanced across the communication network and MDMSs. This paper initially formulates the global load-balanced routing problem in the AMI communication network as an integer linear programming model, which is NP-hard. Then, to overcome this drawback, it is decomposed into two subproblems and a novel software defined network-based AMI communication network is proposed called OpenAMI. This paper also extends the OpenAMI for the cloud computing environment in which some virtual MDMSs are available. OpenAMI is implemented on a real test bed, which includes Open vSwitch, Floodlight controller, and OpenStack, and its performance is evaluated by extensive experiments and scenarios. Based on the results, OpenAMI achieves low end-to-end delay and a high delivery ratio by balancing the load on the entire AMI network.

[1]  Ruth Douglas Miller,et al.  Using GENI for experimental evaluation of Software Defined Networking in smart grids , 2014, Comput. Networks.

[2]  Francesco Benzi,et al.  Electricity Smart Meters Interfacing the Households , 2011, IEEE Transactions on Industrial Electronics.

[3]  Chuan Heng Foh,et al.  Opportunities for Software-Defined Networking in Smart Grid , 2013, 2013 9th International Conference on Information, Communications & Signal Processing.

[4]  Hamid Sharif,et al.  A Survey on Smart Grid Communication Infrastructures: Motivations, Requirements and Challenges , 2013, IEEE Communications Surveys & Tutorials.

[5]  D. Devaraj,et al.  Development and analysis of Wireless Mesh Networks with load-balancing for AMI in smart grid , 2015, 2015 International Conference on Computing and Network Communications (CoCoNet).

[6]  Eduardo Jacob,et al.  Using Software Defined Networking to manage and control IEC 61850-based systems , 2015, Comput. Electr. Eng..

[7]  Peter Palensky,et al.  Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads , 2011, IEEE Transactions on Industrial Informatics.

[8]  Osama A. Mohammed,et al.  Software defined networking for resilient communications in Smart Grid active distribution networks , 2016, 2016 IEEE International Conference on Communications (ICC).

[9]  Eduardo Cerqueira,et al.  SAMbA: A Session Aware Multicast based Architecture for cost-efficient Smart Grid applications , 2015, 2015 IEEE International Conference on Communications (ICC).

[10]  Mark Handley,et al.  SIP: Session Initiation Protocol , 1999, RFC.

[11]  Christian Wietfeld,et al.  Enhanced Fast Failover for Software-Defined Smart Grid Communication Networks , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[12]  Taskin Koçak,et al.  A Survey on Smart Grid Potential Applications and Communication Requirements , 2013, IEEE Transactions on Industrial Informatics.

[13]  Alagan Anpalagan,et al.  Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency , 2019, IEEE Internet of Things Journal.

[14]  Hong-Kyu Kim,et al.  A scalable load-balancing scheme for advanced metering infrastructure network , 2012, RACS.

[15]  Asser N. Tantawi,et al.  Design, Implementation, and Performance of a Load Balancer for SIP Server Clusters , 2012, IEEE/ACM Transactions on Networking.

[16]  Ravishankar K. Iyer,et al.  Software-Defined Networking for Smart Grid Resilience: Opportunities and Challenges , 2015, CPSS@ASIACSS.

[17]  Paolo Ferrari,et al.  Software defined networking applied to the heterogeneous infrastructure of Smart Grid , 2015, 2015 IEEE World Conference on Factory Communication Systems (WFCS).

[18]  Taskin Koçak,et al.  Smart Grid Technologies: Communication Technologies and Standards , 2011, IEEE Transactions on Industrial Informatics.

[19]  A. Neeraja,et al.  Licensed under Creative Commons Attribution Cc by Improving Network Management with Software Defined Networking , 2022 .

[20]  Francesco Piazza,et al.  Smart AMI based demand-response management in a micro-grid environment , 2016, 2016 Clemson University Power Systems Conference (PSC).

[21]  Mahmoud Naghibzadeh,et al.  A load scheduler for SIP proxy servers: design, implementation and evaluation of a history weighted window approach , 2017, Int. J. Commun. Syst..

[22]  Raj Jain,et al.  Network virtualization and software defined networking for cloud computing: a survey , 2013, IEEE Communications Magazine.

[23]  Marco Conti,et al.  The role of communication systems in smart grids: Architectures, technical solutions and research challenges , 2013, Comput. Commun..

[24]  Christian Wietfeld,et al.  Software-defined networking for Smart Grid communications: Applications, challenges and advantages , 2014, 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm).

[25]  In-Ho Choi,et al.  Development of smart controller with demand response for AMI connection , 2010, ICCAS 2010.

[26]  Rose Qingyang Hu,et al.  Scalable Distributed Communication Architectures to Support Advanced Metering Infrastructure in Smart Grid , 2012, IEEE Transactions on Parallel and Distributed Systems.

[27]  Kaamran Raahemifar,et al.  A survey on Advanced Metering Infrastructure , 2014 .

[28]  Jamil Y. Khan,et al.  A comprehensive review of the application characteristics and traffic requirements of a smart grid communications network , 2013, Comput. Networks.

[29]  Dietmar Dietrich,et al.  Power-Aware System Design of Wireless Sensor Networks: Power Estimation and Power Profiling Strategies , 2011, IEEE Transactions on Industrial Informatics.

[30]  Yang Xiao,et al.  A survey of communication/networking in Smart Grids , 2012, Future Gener. Comput. Syst..

[31]  Husheng Li,et al.  QoS Routing in Smart Grid , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[32]  Alpár Jüttner,et al.  Lagrange relaxation based method for the QoS routing problem , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[33]  Kemal Akkaya,et al.  A survey of routing protocols for smart grid communications , 2012, Comput. Networks.

[34]  Shaowei Wang,et al.  Aggregation points planning for software-defined network based smart grid communications , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.