A survey of technical challenges in wireless machine-to-machine communication for smart grids

In this paper, discernible challenges of autonomous grid operation via wireless machine-to-machine communication are surveyed. The objective was to gain insight into the feasibility of a self-regulating, autonomous smart grid which depends largely on wireless machine-to-machine communication technology. This technology is envisioned to coordinate numerous distributed energy resources and other cyber physical components for the substance of stable and secure grid operation. This survey showed that the technology readiness level of wireless telecommunication is currently insufficient to uphold autonomous control of power systems. Moreover, standard frameworks must be developed in order to advance the practicality of machine-to-machine communication technology regarding secure and autonomous grid operation.

[1]  Lee,et al.  [IEEE 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing - Orlando, FL, USA (2008.05.5-2008.05.7)] 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) - Cyber Physical Systems: Design Cha , 2008 .

[2]  S.D.J. McArthur,et al.  Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges , 2007, IEEE Transactions on Power Systems.

[3]  Hamid Aghvami,et al.  Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective , 2015, IEEE Internet of Things Journal.

[4]  Bilal Erman Bilgin,et al.  Performance evaluations of ZigBee in different smart grid environments , 2012, Comput. Networks.

[5]  Lei Yang,et al.  The Effectiveness of Opportunistic Spectrum Access: A Measurement Study , 2012, IEEE/ACM Transactions on Networking.

[6]  Berthold Bitzer,et al.  Cloud computing framework for smart grid applications , 2013, 2013 48th International Universities' Power Engineering Conference (UPEC).

[7]  Vincent W. S. Wong,et al.  Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid , 2010, IEEE Transactions on Smart Grid.

[8]  Noor Izzri Abdul Wahab,et al.  A review on microgrid control techniques , 2014, 2014 IEEE Innovative Smart Grid Technologies - Asia (ISGT ASIA).

[9]  Hai Jiang,et al.  Joint Optimal Cooperative Sensing and Resource Allocation in Multichannel Cognitive Radio Networks , 2011, IEEE Transactions on Vehicular Technology.

[10]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[11]  Julien Penders,et al.  Energy Harvesting for Autonomous Wireless Sensor Networks , 2010, IEEE Solid-State Circuits Magazine.

[12]  Sachchidanand Singh,et al.  Big Data analytics , 2012 .

[13]  Kwang-Cheng Chen,et al.  Radio Resource Management for QoS Guarantees in Cyber-Physical Systems , 2012, IEEE Transactions on Parallel and Distributed Systems.

[14]  Jacques Palicot Cognitive radio: an enabling technology for the green radio communications concept , 2009, IWCMC.

[15]  Kwang-Cheng Chen,et al.  Machine-to-machine communications: Technologies and challenges , 2014, Ad Hoc Networks.

[16]  Ganesh K. Venayagamoorthy,et al.  Dynamic, Stochastic, Computational, and Scalable Technologies for Smart Grids , 2011, IEEE Computational Intelligence Magazine.

[17]  Gil Zussman,et al.  Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms , 2013, IEEE Trans. Mob. Comput..

[18]  Saifur Rahman,et al.  Communication network requirements for major smart grid applications in HAN, NAN and WAN , 2014, Comput. Networks.

[19]  Zhuo Lu,et al.  Cyber security in the Smart Grid: Survey and challenges , 2013, Comput. Networks.

[20]  Gil Zussman,et al.  Networking Low-Power Energy Harvesting Devices: Measurements and Algorithms , 2011, IEEE Transactions on Mobile Computing.

[21]  Mark Schneiderman,et al.  Security and communication improve community trust , 2015 .

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

[23]  Mahesh Sooriyabandara,et al.  M2M Communications in the Smart Grid: Applications, Standards, Enabling Technologies, and Research Challenges , 2011, Int. J. Digit. Multim. Broadcast..

[24]  Yu Zhang,et al.  Control of Parallel Inverter-Interfaced Distributed Energy Resources , 2008, 2008 IEEE Energy 2030 Conference.

[25]  W. L. Kling,et al.  Autonomous control of distributed energy resources via wireless machine-to-machine communication; a survey of big data challenges , 2015, 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC).

[26]  Stephen F. Bush,et al.  Smart Grid: Communication-Enabled Intelligence for the Electric Power Grid , 2014 .

[27]  Melnned M. Kantardzic Big Data Analytics , 2013, Lecture Notes in Computer Science.

[28]  Parag Kulkarni,et al.  M2M communications for E-health and smart grid: an industry and standard perspective , 2014, IEEE Wireless Communications.

[29]  Edward A. Lee Cyber Physical Systems: Design Challenges , 2008, 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC).

[30]  Xu Rong,et al.  A review on distributed energy resources and MicroGrid , 2008 .

[31]  Robert C. Green,et al.  Applications and Trends of High Performance Computing for Electric Power Systems: Focusing on Smart Grid , 2013, IEEE Transactions on Smart Grid.

[32]  Ming Xu,et al.  Spectrum- and energy-efficient D2DWRAN , 2014, IEEE Communications Magazine.

[33]  Manisa Pipattanasomporn,et al.  Assessment of communication technologies and network requirements for different smart grid applications , 2013, 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT).

[34]  Naima Kaabouch,et al.  Cyber security in the Smart Grid: Survey and challenges , 2013, Comput. Networks.

[35]  Shengli Xie,et al.  Cognitive machine-to-machine communications: visions and potentials for the smart grid , 2012, IEEE Network.

[36]  Zhe Chen,et al.  An improved control method of power electronic converters in low voltage micro-grid , 2011, 2011 International Conference on Electrical Machines and Systems.

[37]  Oriol Gomis-Bellmunt,et al.  Trends in Microgrid Control , 2014, IEEE Transactions on Smart Grid.

[38]  Quanyan Zhu,et al.  Resilient Distributed Control of Multi-agent Cyber-Physical Systems , 2013, CPSW@CISS.

[39]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.