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

  • Charithri Yapa
  • , Chamitha De Alwis
  • , Uditha Lakmal Wijewardhana
  • , Madhusanka Liyanage
  • , Janaka Ekanayake
  • University of Sri Jayewardenepura
  • University College Dublin
  • Cardiff University
  • University of Peradeniya

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
1 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)277-287
Number of pages11
JournalIEEE Transactions on Smart Grid
Volume16
Issue number1
DOIs
Publication statusPublished - 21 Aug 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • blockchain
  • consensus algorithm
  • energy-efficient consensus mechanism
  • formal model verification
  • power quality detection
  • process analysis toolkit
  • smart contracts
  • Blockchain

ASJC Scopus subject areas

  • General Computer Science

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