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Modeling options for demand side participation of thermostatically controlled loads
Swiss Federal Institute of Technology, Switzerland.
OFFIS, Universität Oldenburg, Germany.
Delft Center for Systems and Control, TU Delft, Netherlands.
OFFIS, Universität Oldenburg, German.
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2013 (English)In: Bulk Power System Dynamics and Control-IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013 IREP IREP2013, 2013, Vol. Article number 6629396Conference paper, Published paper (Refereed)
Abstract [en]

Residential thermostatically controlled loads (TCLs) have potential for participation in electricity markets. This is because we can control a large group of these loads to achieve aggregate system behavior such as providing frequency reserves while ensuring the control actions are non-disruptive to the end users. A main challenge in controlling aggregations of TCLs is developing dynamical system models that are simple enough for optimization and control, but rich enough to capture the behavior of the loads. In this work, we propose three classes of models that approximate aggregate TCL dynamics. We analyze these models in terms of their accuracy and computational tractability. The models demonstrate a progression from models that help us analyze and predict TCL population behavior to those that help us develop large-scale automatic control strategies. Specifically, we demonstrate how formal methods from computer science and optimal control can be used to derive bounds on model error, guarantees for trajectory tracking, and algorithms for price arbitrage. We find that the accuracy of the analytic results decreases as TCL parameter heterogeneity is introduced. Thus, we motivate further development of analytical tools and modeling approaches to investigate realistic TCL behavior in power systems.

Place, publisher, year, edition, pages
2013. Vol. Article number 6629396
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-30505DOI: 10.1109/IREP.2013.6629396Scopus ID: 2-s2.0-84890460992ISBN: 978-1-4799-0199-9 (print)OAI: oai:DiVA.org:mdh-30505DiVA, id: diva2:886293
Conference
Bulk Power System Dynamics and Control-IX Optimization, Security and Control of the Emerging Power Grid (IREP), 2013 IREP IREP2013, 25-30 Aug 2013, Rethymno, Greece
Projects
TOCSYC - Testing of Critical System Characteristics (KKS)Available from: 2015-12-22 Created: 2015-12-21 Last updated: 2015-12-22Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf