Message passing for distributed optimisation of power allocation with renewable resources


The increase in renewable energy generators introduced into the electricity grid is putting pressure on its stability and management as predictions of renewable energy sources cannot be accurate or fully controlled. This, with the additional pressure of fluctuations in demand, presents a problem more complex than the current methods of controlling electricity distribution were designed for. A global approximate and distributed optimisation method for power allocation that accommodates uncertainties and volatility is suggested and analysed. It is based on a probabilistic method known as message passing [1], which has deep links to statistical physics methodology. This principled method of optimisation is based on local calculations and inherently accommodates uncertainties; it is of modest computational complexity and provides good approximate solutions.We consider uncertainty and fluctuations drawn from a Gaussian distribution and incorporate them into the message-passing algorithm. We see the effect that increasing uncertainty has on the transmission cost and how the placement of volatile nodes within a grid, such as renewable generators or consumers, effects it.

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Divisions: College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Additional Information: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: Alstom; EPSRC (Industrial CASE Studentship 12330048); and Research Grants Council of Hong Kong (grant numbers 604512, 605813).
Event Title: 2nd International Conference on Intelligent Green Building and Smart Grid
Event Type: Other
Event Dates: 2016-06-27 - 2016-06-29
Uncontrolled Keywords: message passing,optimisation,power flow,distribution,renewable energy,uncertainty,electricity,networks,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Energy Engineering and Power Technology,Computer Networks and Communications
ISBN: 978-1-4673-8474-2
Last Modified: 17 Jun 2024 08:31
Date Deposited: 04 May 2016 08:50
Full Text Link: http://ieeexplo ... rnumber=7539451
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2016-08-11
Accepted Date: 2016-03-16
Authors: Harrison, Elizabeth
Saad, David (ORCID Profile 0000-0001-9821-2623)
Wong, K.Y. Michael



Version: Accepted Version

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