A New Method for Handling Lockout Constraints on Controlled TCL Aggregations

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Abstract

Thermal loads are recognized as a valuable source of flexibility in face of the increasing variability caused by the large shares of renewable production. Lockout constraints can significantly reduce the flexibility of thermostatically controlled loads (TCLs). We propose a novel way of modifying the loads’ lockout durations to achieve non-intrusive centralized control without relying on local computations and estimations. We derive analytical expressions for the flexibility reduction and validate them via simulations, which show that the proposed method describes the TCLs flexibility accurately. We further show that a simple stochastic centralized controller, which does not rely on local temperature measurements, outperforms the commonly used priority-stack controller in terms of system robustness against infeasible trajectories.
Original languageEnglish
Title of host publicationProceedings of 20th Power System Computation Conference
Number of pages7
PublisherIEEE
Publication date2018
ISBN (Print)9781910963104
DOIs
Publication statusPublished - 2018
Event20th Power Systems Computation Conference - O’Brien Centre for Science at University College Dublin, Dublin, Ireland
Duration: 11 Jun 201815 Jun 2018
Conference number: 20
http://www.pscc2018.net/index.html

Conference

Conference20th Power Systems Computation Conference
Number20
LocationO’Brien Centre for Science at University College Dublin
CountryIreland
CityDublin
Period11/06/201815/06/2018
Internet address

Keywords

  • Aggregation
  • Lockout constraints
  • Stochastic controller
  • Thermal battery model
  • Thermostatically controlled loads

Cite this

Ziras, Charalampos ; You, Shi ; Bindner, Henrik W. ; Vrettos, Evangelos. / A New Method for Handling Lockout Constraints on Controlled TCL Aggregations. Proceedings of 20th Power System Computation Conference. IEEE, 2018.
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title = "A New Method for Handling Lockout Constraints on Controlled TCL Aggregations",
abstract = "Thermal loads are recognized as a valuable source of flexibility in face of the increasing variability caused by the large shares of renewable production. Lockout constraints can significantly reduce the flexibility of thermostatically controlled loads (TCLs). We propose a novel way of modifying the loads’ lockout durations to achieve non-intrusive centralized control without relying on local computations and estimations. We derive analytical expressions for the flexibility reduction and validate them via simulations, which show that the proposed method describes the TCLs flexibility accurately. We further show that a simple stochastic centralized controller, which does not rely on local temperature measurements, outperforms the commonly used priority-stack controller in terms of system robustness against infeasible trajectories.",
keywords = "Aggregation, Lockout constraints, Stochastic controller, Thermal battery model, Thermostatically controlled loads",
author = "Charalampos Ziras and Shi You and Bindner, {Henrik W.} and Evangelos Vrettos",
year = "2018",
doi = "10.23919/PSCC.2018.8442907",
language = "English",
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booktitle = "Proceedings of 20th Power System Computation Conference",
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}

Ziras, C, You, S, Bindner, HW & Vrettos, E 2018, A New Method for Handling Lockout Constraints on Controlled TCL Aggregations. in Proceedings of 20th Power System Computation Conference. IEEE, 20th Power Systems Computation Conference, Dublin, Ireland, 11/06/2018. https://doi.org/10.23919/PSCC.2018.8442907

A New Method for Handling Lockout Constraints on Controlled TCL Aggregations. / Ziras, Charalampos; You, Shi; Bindner, Henrik W.; Vrettos, Evangelos.

Proceedings of 20th Power System Computation Conference. IEEE, 2018.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AB - Thermal loads are recognized as a valuable source of flexibility in face of the increasing variability caused by the large shares of renewable production. Lockout constraints can significantly reduce the flexibility of thermostatically controlled loads (TCLs). We propose a novel way of modifying the loads’ lockout durations to achieve non-intrusive centralized control without relying on local computations and estimations. We derive analytical expressions for the flexibility reduction and validate them via simulations, which show that the proposed method describes the TCLs flexibility accurately. We further show that a simple stochastic centralized controller, which does not rely on local temperature measurements, outperforms the commonly used priority-stack controller in terms of system robustness against infeasible trajectories.

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