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Demand response for aggregated residential consumers with energy storage sharing
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-4210-8672
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-1835-2963
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2015 (English)Conference paper (Refereed)
Abstract [en]

A novel distributed algorithm is proposed in this paper for a network of consumers coupled by energy resource sharing constraints, which aims at minimizing the aggregated electricity costs. Each consumers is equipped with an energy management system that schedules the shiftable loads accounting for user preferences, while an aggregator entity coordinates the consumers demand and manages the interaction with the grid and the shared energy storage system (ESS) via a distributed strategy. The proposed distributed coordination algorithm requires the computation of Mixed Integer Linear Programs (MILPs) at each iteration. The proposed approach guarantees constraints satisfaction, cooperation among consumers, and fairness in the use of the shared resources among consumers. The strategy requires limited message exchange between each consumer and the aggregator, and no messaging among the consumers, which protects consumers privacy. Performance of the proposed distributed algorithm in comparison with a centralized one is illustrated using numerical experiments.

Place, publisher, year, edition, pages
IEEE , 2015. 2024-2030 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-182382DOI: 10.1109/CDC.2015.7402504ScopusID: 2-s2.0-84962003798ISBN: 978-1-4799-7884-7OAI: oai:DiVA.org:kth-182382DiVA: diva2:904292
Conference
IEEE 54th Annual Conference on Decision and Control (CDC), 2015
Note

QC 20160419

Available from: 2016-02-18 Created: 2016-02-18 Last updated: 2016-04-19Bibliographically approved

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Paridari, KavehParisio, AlessandraSandberg, HenrikJohansson, Karl Henrik
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Automatic ControlACCESS Linnaeus Centre
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ReferencesLink to record
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