Decentralized Optimal Power Flow in Distribution Networks Using Blockchain

Tarek Alskaif, Gijs Van Leeuwen

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

32 Citations (Scopus)

Abstract

The rapid development of distributed energy resources (DER) in the distribution grid calls for novel control and coordination solutions. Optimal management of DER will enable end-users to decrease their electricity costs and provide crucial services to grid operators. In this paper, a decentralized Optimal Power Flow (OPF) model is used to locally coordinate DER in distribution networks, while considering the network constraints, in a distributed, transparent and secure fashion. To achieve that, a consensus-based distributed optimization algorithm is developed using the general form Alternating Direction Method of Multipliers (ADMM). To enable transparent and verifiable management of the network, the paper provides a comprehensive procedure for the implementation of the decentralized OPF on a private blockchain-smart contracts platform. The performance of the proposed framework is tested using real data from a case study in a residential neighborhood in Amsterdam with different varieties of DER. The implementation procedure on a blockchain-smart contracts platform may be adopted in other problems that require a smart contract to act as a virtual aggregator.

Original languageEnglish
Title of host publicationSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
PublisherIEEE
ISBN (Electronic)9781728111568
DOIs
Publication statusPublished - Sept 2019
Externally publishedYes
Event2nd International Conference on Smart Energy Systems and Technologies, SEST 2019 - Porto, Portugal
Duration: 9 Sept 201911 Sept 2019

Publication series

NameSEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Conference/symposium

Conference/symposium2nd International Conference on Smart Energy Systems and Technologies, SEST 2019
Country/TerritoryPortugal
CityPorto
Period9/09/1911/09/19

Keywords

  • blockchain
  • consensus algorithms
  • Distributed energy resources
  • distributed optimization
  • optimal power flow

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