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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • View Item
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Decentralized blockchain-based consensus for Optimal Power Flow solutions

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Author
Foti M., Mavromatis C., Vavalis M.
Date
2021
Language
en
DOI
10.1016/j.apenergy.2020.116100
Keyword
Acoustic generators
Blockchain
Electric power transmission
Electric power transmission networks
Iterative methods
Microgrids
Alternating direction method of multipliers
Consensus algorithms
Convergence characteristics
Decentralized consensus
Optimal power flow problem
Optimal power flows
Power flow problem
Transmission systems
Electric load flow
algorithm
benchmarking
decentralization
experimental study
simulation
New England
United States
Elsevier Ltd
Metadata display
Abstract
We design, implement and analyze a decentralized consensus algorithm based on the blockchain technology for the solution of the Optimal Power Flow problem. The proposed algorithm enables independent power grid nodes, without prior trust on each other, to reach an agreement on the Optimal Power Flow solution. We decompose the Optimal Power Flow problem using a blockchain-based Alternating Direction Method of Multipliers and we comment on efficiency, trust, security and transparency issues. The successive iterants of the solution of the power flow problem are securely stored on the blockchain, removing the need for a central operating authority, while allowing network nodes to verify the validity and optimality of the solution. We illustrate the effectiveness of the consensus algorithm presented through simulation experiments on the 39-bus New England transmission system, and IEEE-57 and IEEE-118 benchmark systems. We systematically compare the effectiveness of the proposed algorithm with well established blockchain consensus algorithms. The results show that our method maintains the convergence characteristics of the Alternating Direction Method of Multipliers iterative scheme and enables independent network nodes to reach consensus. © 2020 Elsevier Ltd
URI
http://hdl.handle.net/11615/71683
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  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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