Optimal load shedding in electricity grids with renewable sources via message passing

Elizabeth Harrison*, David Saad, K.Y. Michael Wong

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

The increased penetration of volatile and intermittent renewable energy sources challenges existing power-distribution methods as current dispatch methods were not designed to consider high levels of volatility. We suggest a principled algorithm called message passing, which complements existing techniques. It is based on statistical physics methodology and passes probabilistic messages locally to find the approximate global optimal solution for a given objective function. The computational complexity of the algorithm increases linearly with the system size, allowing one to solve large-scale problems. We show how message passing considers fluctuations effectively and prioritise consumers in the event of insufficient resource. We demonstrate the efficacy of the algorithm in managing load-shedding and power-distribution on synthetic benchmark IEEE data and discuss the role of weights in the trade-off between minimising load-shedding and transmission costs.

Original languageEnglish
Pages (from-to)101-108
Number of pages8
JournalEnergy Procedia
Volume107
DOIs
Publication statusPublished - 1 Mar 2017
Event3rd International Conference on Energy and Environment Research - Barcelona, Spain
Duration: 9 Sep 201611 Sep 2016

Bibliographical note

© 2017 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

Keywords

  • electricity distribution
  • load shedding
  • message passing
  • networks
  • optimisation
  • power flow
  • renewable energy
  • uncertainty

Fingerprint Dive into the research topics of 'Optimal load shedding in electricity grids with renewable sources via message passing'. Together they form a unique fingerprint.

  • Cite this