Distributed schemes for efficient deployment of price-responsive demand with partial flexibility

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Title: Distributed schemes for efficient deployment of price-responsive demand with partial flexibility
Authors: De Paola, A
Angeli, D
Strbac, G
Item Type: Journal Article
Abstract: This paper presents novel methodologies for efficient deployment of flexible demand. Large populations of price-responsive loads are coordinated through a price signal and a power constraint broadcast by a central entity. Such quantities are designed in order to minimise a global objective function (e.g. total generation costs) and ensure a one-step convergence to a stable solution, characterised as a Nash equilibrium. Conditions for the sought equilibrium are preliminarily expressed as monotonicity of demand profiles under reordered coordinates and then they are imposed as constraints of a global optimisation, whose solution is calculated numerically. To reduce the computational complexity of the problem in scenarios with high penetration of flexible demand, clustering of the appliances is introduced. The global properties of the final stable solution and its optimality with respect to the task times of the appliances are analysed both theoretically and through simulation results.
Issue Date: 1-Apr-2018
Date of Acceptance: 2-Jul-2017
URI: http://hdl.handle.net/10044/1/56907
DOI: https://dx.doi.org/10.1080/23307706.2017.1355274
ISSN: 2330-7706
Publisher: Taylor && Francis
Start Page: 164
End Page: 194
Journal / Book Title: Journal of Control and Decision
Volume: 5
Issue: 2
Copyright Statement: © 2017 Northeastern University, China. This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Control and Decision on 27 July 2017, available online at: http://www.tandfonline.com/10.1080/23307706.2017.1355274
Sponsor/Funder: Engineering & Physical Science Research Council (E
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Funder's Grant Number: EP/I031650/1
A1300 (EP/N03466X/1)
Notes: peerreview_statement: The publishing and review policy for this title is described in its Aims & Scope. aims_and_scope_url: http://www.tandfonline.com/action/journalInformation?show=aimsScope&journalCode=tjcd20
Publication Status: Published
Online Publication Date: 2017-07-27
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences

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