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Power line monitoring-based consensus algorithm for performance enhancement of energy blockchain applications in Smart Grid 2.0

  • Charithri Yapa
    ,
  • ,
  • Uditha Lakmal Wijewardhana
    ,
  • Madhusanka Liyanage
    ,
  • Janaka Ekanayake
  • University of Sri Jayewardenepura
    ,
  • University College Dublin
    ,
  • Cardiff University
    ,
  • University of Peradeniya
Research Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Abstract

Energy blockchain applications are becoming inevitable with the transformation of electricity distribution networks into the decentralized Smart Grid 2.0 architecture. The scalability of the blockchain platform plays a key role in catering to the increasing number of nodes connected due to consumer-turned-prosumers being integrated into the distribution grid in a distributed manner. Hence, this study aims to optimize blockchain utilization for Smart Grid 2.0 applications through a novel consensus mechanism, which eliminates the requirement for performing additional complex computations to mine a new block. The algorithm utilizes the grid monitoring process through the existing smart meters, and thus has been capable of reducing the energy footprint for block mining to a fraction of that of the legacy Proof-of-Work algorithm, and reducing the block creation time by ∼<60% . The proposed Power Line Monitoring-based Consensus Mechanism (PLMC) algorithm is validated using the Process Analysis Toolkit (PAT). In addition, data collected while monitoring the network for block mining is utilized for power quality measurement purposes.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 277-287 (11 pages)

Journal (Volume, Issue Number)

IEEE Transactions on Smart Grid (Volume 16, Issue 1)

Publication milestones

  • Accepted/In press - 09/08/2024
  • Published - 21/08/2024

Publication status

Published - 21/08/2024

ISSN

1949-3053

Publication IDs

  • handle.net: 10547/626538
  • Scopus: 85201787929