Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads

Sribalaji Coimbatore Anand; Simone Baldi

doi:10.1109/ICCA51439.2020.9264495

Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads

Sribalaji Coimbatore Anand, Simone Baldi

Team Bart De Schutter

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

40 Downloads (Pure)

Abstract

Demand side energy management (DSEM) promises to regulate ensembles of loads to track desired power levels, in response to grid events (demand peaks, emergencies, variable renewable power generation, etc). A large fraction of such loads are Thermostatically Controlled Loads (TCLs) such as refrigerators, electric water heaters, and air conditioners. Such loads exhibit parametric uncertainty and heterogeneity which make power tracking difficult. Adaptive control strategies are explored in this work as a way to achieve power tracking. Effectiveness of such strategies are studied via numerical simulations.

Original language	English
Title of host publication	Proceedings of the IEEE 16th International Conference on Control and Automation, ICCA 2020
Place of Publication	Piscataway, NJ, USA
Publisher	IEEE
Pages	901-906
ISBN (Electronic)	978-1-7281-9093-8
DOIs	https://doi.org/10.1109/ICCA51439.2020.9264495
Publication status	Published - 2020
Event	16th IEEE International Conference on Control and Automation, ICCA 2020 - Virtual, Sapporo, Hokkaido, Japan Duration: 9 Oct 2020 → 11 Oct 2020

Conference

Conference	16th IEEE International Conference on Control and Automation, ICCA 2020
Country/Territory	Japan
City	Virtual, Sapporo, Hokkaido
Period	9/10/20 → 11/10/20

Bibliographical note

Accepted Author Manuscript

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10.1109/ICCA51439.2020.9264495

Conference_Article_finalAccepted author manuscript, 318 KB

Cite this

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title = "Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads",

abstract = "Demand side energy management (DSEM) promises to regulate ensembles of loads to track desired power levels, in response to grid events (demand peaks, emergencies, variable renewable power generation, etc). A large fraction of such loads are Thermostatically Controlled Loads (TCLs) such as refrigerators, electric water heaters, and air conditioners. Such loads exhibit parametric uncertainty and heterogeneity which make power tracking difficult. Adaptive control strategies are explored in this work as a way to achieve power tracking. Effectiveness of such strategies are studied via numerical simulations.",

author = "{Coimbatore Anand}, Sribalaji and Simone Baldi",

note = "Accepted Author Manuscript; 16th IEEE International Conference on Control and Automation, ICCA 2020 ; Conference date: 09-10-2020 Through 11-10-2020",

year = "2020",

doi = "10.1109/ICCA51439.2020.9264495",

language = "English",

pages = "901--906",

booktitle = "Proceedings of the IEEE 16th International Conference on Control and Automation, ICCA 2020",

publisher = "IEEE",

address = "United States",

}

Coimbatore Anand, S & Baldi, S 2020, Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads. in Proceedings of the IEEE 16th International Conference on Control and Automation, ICCA 2020. IEEE, Piscataway, NJ, USA, pp. 901-906, 16th IEEE International Conference on Control and Automation, ICCA 2020, Virtual, Sapporo, Hokkaido, Japan, 9/10/20. https://doi.org/10.1109/ICCA51439.2020.9264495

Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads. / Coimbatore Anand, Sribalaji; Baldi, Simone.
Proceedings of the IEEE 16th International Conference on Control and Automation, ICCA 2020. Piscataway, NJ, USA: IEEE, 2020. p. 901-906.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Baldi, Simone

N1 - Accepted Author Manuscript

PY - 2020

Y1 - 2020

N2 - Demand side energy management (DSEM) promises to regulate ensembles of loads to track desired power levels, in response to grid events (demand peaks, emergencies, variable renewable power generation, etc). A large fraction of such loads are Thermostatically Controlled Loads (TCLs) such as refrigerators, electric water heaters, and air conditioners. Such loads exhibit parametric uncertainty and heterogeneity which make power tracking difficult. Adaptive control strategies are explored in this work as a way to achieve power tracking. Effectiveness of such strategies are studied via numerical simulations.

AB - Demand side energy management (DSEM) promises to regulate ensembles of loads to track desired power levels, in response to grid events (demand peaks, emergencies, variable renewable power generation, etc). A large fraction of such loads are Thermostatically Controlled Loads (TCLs) such as refrigerators, electric water heaters, and air conditioners. Such loads exhibit parametric uncertainty and heterogeneity which make power tracking difficult. Adaptive control strategies are explored in this work as a way to achieve power tracking. Effectiveness of such strategies are studied via numerical simulations.

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BT - Proceedings of the IEEE 16th International Conference on Control and Automation, ICCA 2020

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Y2 - 9 October 2020 through 11 October 2020

ER -

Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads

Abstract

Conference

Bibliographical note

UN SDGs

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