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

Harrison, Elizabeth, Saad, David and Wong, K.Y. Michael (2017). Optimal load shedding in electricity grids with renewable sources via message passing. Energy Procedia, 107 , pp. 101-108.


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.

Publication DOI: https://doi.org/10.1016/j.egypro.2016.12.139
Dataset DOI: https://doi.org/10.17036/researchdata.aston.ac.uk.00000268
Divisions: Engineering & Applied Sciences > Mathematics
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Additional Information: © 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/).
Uncontrolled Keywords: electricity distribution,load shedding,message passing,networks,optimisation,power flow,renewable energy,uncertainty,Energy(all)
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Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2017-03-01
Authors: Harrison, Elizabeth
Saad, David ( 0000-0001-9821-2623)
Wong, K.Y. Michael

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