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  4. Analysis of a Power Distribution Network Multi-Area State Estimator with Secure Blockchain-Based Data Exchange
 
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2022
Conference Paper
Title

Analysis of a Power Distribution Network Multi-Area State Estimator with Secure Blockchain-Based Data Exchange

Abstract
Distribution System State Estimation (DSSE) is an important monitoring tool for decision-making process. The need for data exchange between different actors imposes new requirements of data integrity and security, which can be fulfilled by Blockchain technology thanks to its distributed nature, transparency and immutability In this paper we quantify the time consumption and data exchange requirements between areas. Furthermore, we analyze the implication of Blockchain adoption as a secure data transfer technology, by testing a 2-step MASE algorithm communicated through the Blockchain, and comparing its performance with iterative data exchange methods already present in the literature. Finally, the results are analyzed in terms of storage capacity required for periodic state estimation, and the time required to get a final state-estimate considering the time constraints imposed by Blockchain Technology. Tests and results show different data publication methods for Blockchain adoption and bring quantitative results for the feasibility analysis, depending on the MASE algorithm adopted in the monitoring system.
Author(s)
Cazal, César
Pau, Marco
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE  
Rio Chacon, Juan Martin del
Ponci, Ferdinanda
Monti, Antonello  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Mainwork
AMPS 2022 Workshop Proceedings. 12th International Workshop on Applied Measurements for Power Systems  
Conference
International Workshop on Applied Measurements for Power Systems 2022  
DOI
10.1109/AMPS55790.2022.9978816
Language
English
Fraunhofer-Institut für Energiewirtschaft und Energiesystemtechnik IEE  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • Blockchain

  • Distributed

  • Monitoring

  • Power Automation

  • Smart Contract

  • State Estimation

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