A New Method for Handling Lockout Constraints on Controlled TCL Aggregations

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedings – Annual report year: 2018Researchpeer-review

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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 proceedings – Annual report year: 2018Researchpeer-review

Harvard

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

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Author

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.

Bibtex

@inproceedings{b4c6a14b4f534df182b541b873e0bce2,
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",
isbn = "9781910963104",
booktitle = "Proceedings of 20th Power System Computation Conference",
publisher = "IEEE",
address = "United States",

}

RIS

TY - GEN

T1 - A New Method for Handling Lockout Constraints on Controlled TCL Aggregations

AU - Ziras, Charalampos

AU - You, Shi

AU - Bindner, Henrik W.

AU - Vrettos, Evangelos

PY - 2018

Y1 - 2018

N2 - 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.

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.

KW - Aggregation

KW - Lockout constraints

KW - Stochastic controller

KW - Thermal battery model

KW - Thermostatically controlled loads

U2 - 10.23919/PSCC.2018.8442907

DO - 10.23919/PSCC.2018.8442907

M3 - Article in proceedings

SN - 9781910963104

BT - Proceedings of 20th Power System Computation Conference

PB - IEEE

ER -