Distributed coordination of flexible loads using locational marginal prices

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Title: Distributed coordination of flexible loads using locational marginal prices
Authors: Gong, X
De Paola, A
Angeli, D
Strbac, G
Item Type: Journal Article
Abstract: This paper presents a novel distributed control strategy for large-scale deployment of flexible demand in power systems. A game theoretical setting is adopted, modeling the loads as rational players that aim to complete an assigned task at minimum cost and compete for power consumption at the cheapest hours of the day. The main novelty is the analysis of power systems with congestion: the proposed modeling framework envisages heterogeneous groups of loads that operate at different buses, connected by transmission lines of limited capacity. The locational marginal prices of electricity, different in general for each bus, are calculated through an optimal power flow problem, accounting for the impact of the flexible devices on power demand and generation. A new iterative scheme for flexible demand coordination is analytically characterized as a multivalued mapping. Its convergence to a stable market configuration (i.e., variational Wardrop equilibrium) and global optimality are analytically demonstrated, for any penetration level of flexible demand and any grid topology. Distributed implementations of the proposed control strategy are discussed, evaluating their performance with simulations on the IEEE 24-bus system.
Issue Date: 1-Sep-2019
Date of Acceptance: 18-May-2019
URI: http://hdl.handle.net/10044/1/74784
DOI: 10.1109/TCNS.2019.2920587
ISSN: 2325-5870
Publisher: IEEE
Start Page: 1097
End Page: 1110
Journal / Book Title: IEEE Transactions on Control of Network Systems
Volume: 6
Issue: 3
Copyright Statement: © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications standards/publications/rights/index.html for more information. 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 (E
Funder's Grant Number: EP/I031650/1
Keywords: Science & Technology
Technology
Automation & Control Systems
Computer Science, Information Systems
Computer Science
Distributed control
flexible demand
game theory
locational marginal prices (LMPs)
transmission network
DEMAND RESPONSE
AGGREGATIVE GAMES
POWER
STRATEGY
IMPACT
OPF
Science & Technology
Technology
Automation & Control Systems
Computer Science, Information Systems
Computer Science
Distributed control
flexible demand
game theory
locational marginal prices (LMPs)
transmission network
DEMAND RESPONSE
AGGREGATIVE GAMES
POWER
STRATEGY
IMPACT
OPF
Publication Status: Published
Online Publication Date: 2019-06-03
Appears in Collections:Electrical and Electronic Engineering
Centre for Environmental Policy
Faculty of Natural Sciences



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