Integration of price-responsive appliances in the energy market through flexible demand saturation

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Title: Integration of price-responsive appliances in the energy market through flexible demand saturation
Authors: De Paola, A
Angeli, D
Strbac, G
Item Type: Journal Article
Abstract: This paper proposes a novel decentralized technique for efficient integration of flexible demand in the electricity market. The analysis focuses on price-responsive appliances that schedule their power consumption on the basis of a demand/price signal received by a central entity. Previous work has shown that, when the devices population is sufficiently large to be described as a continuum, it is possible to provide necessary and sufficient conditions for the existence of a Nash equilibrium (no device has unilateral interest in changing its scheduling when considering the resulting profile of aggregate demand). These results are now extended in order to achieve an equilibrium also when the mentioned conditions are violated. To this purpose, a time-varying proportional constraint (equal for all devices) is introduced on the power rate of the price-responsive appliances so as to limit the variation of flexible demand that they can introduce at critical time instants. The proposed design technique not only guarantees existence of a Nash equilibrium but it also minimizes the global operation time of the appliances population. Simulation results are provided and it is shown that, under the considered assumptions, each individual appliance completes its task in minimum time.
Issue Date: 1-Mar-2018
Date of Acceptance: 1-Jun-2016
URI: http://hdl.handle.net/10044/1/49151
DOI: 10.1109/TCNS.2016.2583204
ISSN: 2325-5870
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 154
End Page: 166
Journal / Book Title: IEEE Transactions on Control of Network Systems
Volume: 5
Issue: 1
Copyright Statement: © 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.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Engineering and Physical Sciences Research Council (EPSRC)
Engineering and Physical Sciences Research Council (EPSRC)
Funder's Grant Number: EP/L001039/1
Keywords: Science & Technology
Technology
Automation & Control Systems
Computer Science, Information Systems
Computer Science
Distributed control
electric power networks
flexible demand
game theory
MANAGEMENT
Smart Grid
Flexible Demand
Game Theory
Distributed Control
Publication Status: Published
Online Publication Date: 2016-06-21
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences



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