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Broadband PLC for Clustered Advanced Metering Infrastructure (AMI) Architecture

Author

Listed:
  • Augustine Ikpehai

    (School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

  • Bamidele Adebisi

    (School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

  • Khaled M. Rabie

    (School of Engineering, Manchester Metropolitan University, Manchester M1 5GD, UK)

Abstract

Advanced metering infrastructure (AMI) subsystems monitor and control energy distribution through exchange of information between smart meters and utility networks. A key challenge is how to select a cost-effective communication system without compromising the performance of the applications. Current communication technologies were developed for conventional data networks with different requirements. It is therefore necessary to investigate how much of existing communication technologies can be retrofitted into the new energy infrastructure to cost-effectively deliver acceptable level of service. This paper investigates broadband power line communications (BPLC) as a backhaul solution in AMI. By applying the disparate traffic characteristics of selected AMI applications, the network performance is evaluated. This study also examines the communication network response to changes in application configurations in terms of packet sizes. In each case, the network is stress-tested and performance is assessed against acceptable thresholds documented in the literature. Results show that, like every other communication technology, BPLC has certain limitations; however, with some modifications in the network topology, it indeed can fulfill most AMI traffic requirements for flexible and time-bounded applications. These opportunities, if tapped, can significantly improve fiscal and operational efficiencies in AMI services. Simulation results also reveal that BPLC as a backhaul can support flat and clustered AMI structures with cluster size ranging from 1 to 150 smart meters.

Suggested Citation

  • Augustine Ikpehai & Bamidele Adebisi & Khaled M. Rabie, 2016. "Broadband PLC for Clustered Advanced Metering Infrastructure (AMI) Architecture," Energies, MDPI, vol. 9(7), pages 1-19, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:569-:d:74406
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    References listed on IDEAS

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    1. Alberto Sendin & Txetxu Arzuaga & Iker Urrutia & Iñigo Berganza & Ainara Fernandez & Laura Marron & Asier Llano & Aitor Arzuaga, 2015. "Adaptation of Powerline Communications-Based Smart Metering Deployments to the Requirements of Smart Grids," Energies, MDPI, vol. 8(12), pages 1-27, November.
    2. Gregorio López & Pedro Moura & José Ignacio Moreno & José Manuel Camacho, 2014. "Multi-Faceted Assessment of a Wireless Communications Infrastructure for the Green Neighborhoods of the Smart Grid," Energies, MDPI, vol. 7(5), pages 1-31, May.
    3. Alberto Sendin & Iñigo Berganza & Aitor Arzuaga & Xabier Osorio & Iker Urrutia & Pablo Angueira, 2013. "Enhanced Operation of Electricity Distribution Grids Through Smart Metering PLC Network Monitoring, Analysis and Grid Conditioning," Energies, MDPI, vol. 6(1), pages 1-18, January.
    4. Alberto Sendin & Ivan Peña & Pablo Angueira, 2014. "Strategies for Power Line Communications Smart Metering Network Deployment," Energies, MDPI, vol. 7(4), pages 1-44, April.
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    Cited by:

    1. Lesek Franek & Petr Fiedler, 2017. "A Multiconductor Model of Power Line Communication in Medium-Voltage Lines," Energies, MDPI, vol. 10(6), pages 1-16, June.
    2. Gregorio López & José Ignacio Moreno & Eutimio Sánchez & Cristina Martínez & Fernando Martín, 2017. "Noise Sources, Effects and Countermeasures in Narrowband Power-Line Communications Networks: A Practical Approach," Energies, MDPI, vol. 10(8), pages 1-42, August.
    3. Antonio E. Saldaña-González & Andreas Sumper & Mònica Aragüés-Peñalba & Miha Smolnikar, 2020. "Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review," Energies, MDPI, vol. 13(14), pages 1-34, July.
    4. Hosna Khajeh & Hannu Laaksonen & Amin Shokri Gazafroudi & Miadreza Shafie-khah, 2019. "Towards Flexibility Trading at TSO-DSO-Customer Levels: A Review," Energies, MDPI, vol. 13(1), pages 1-19, December.
    5. Grzegorz Debita & Przemysław Falkowski-Gilski & Marcin Habrych & Grzegorz Wiśniewski & Bogdan Miedziński & Przemysław Jedlikowski & Agnieszka Waniewska & Jan Wandzio & Bartosz Polnik, 2020. "BPL-PLC Voice Communication System for the Oil and Mining Industry," Energies, MDPI, vol. 13(18), pages 1-19, September.
    6. Yakubu Tsado & Kelum A. A. Gamage & Bamidele Adebisi & David Lund & Khaled M. Rabie & Augustine Ikpehai, 2017. "Improving the Reliability of Optimised Link State Routing in a Smart Grid Neighbour Area Network based Wireless Mesh Network Using Multiple Metrics," Energies, MDPI, vol. 10(3), pages 1-23, February.
    7. Olamide Jogunola & Augustine Ikpehai & Kelvin Anoh & Bamidele Adebisi & Mohammad Hammoudeh & Sung-Yong Son & Georgina Harris, 2017. "State-Of-The-Art and Prospects for Peer-To-Peer Transaction-Based Energy System," Energies, MDPI, vol. 10(12), pages 1-28, December.
    8. Giovanni Pau & Mario Collotta & Antonio Ruano & Jiahu Qin, 2017. "Smart Home Energy Management," Energies, MDPI, vol. 10(3), pages 1-5, March.
    9. Olamide Jogunola & Augustine Ikpehai & Kelvin Anoh & Bamidele Adebisi & Mohammad Hammoudeh & Haris Gacanin & Georgina Harris, 2017. "Comparative Analysis of P2P Architectures for Energy Trading and Sharing," Energies, MDPI, vol. 11(1), pages 1-20, December.
    10. Augustine Ikpehai & Bamidele Adebisi & Khaled M. Rabie & Russell Haggar & Mike Baker, 2016. "Experimental Study of 6LoPLC for Home Energy Management Systems," Energies, MDPI, vol. 9(12), pages 1-19, December.
    11. Ying-Ren Chien & Hao-Chun Yu, 2019. "Mitigating Impulsive Noise for Wavelet-OFDM Powerline Communication," Energies, MDPI, vol. 12(8), pages 1-13, April.

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