Optimal Tracking Strategies for Uncertain Ensembles of Thermostatically Controlled Loads

Sribalaji Coimbatore Anand, Simone Baldi

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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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 languageEnglish
Title of host publicationProceedings of the IEEE 16th International Conference on Control and Automation, ICCA 2020
Place of PublicationPiscataway, NJ, USA
PublisherIEEE
Pages901-906
ISBN (Electronic)978-1-7281-9093-8
DOIs
Publication statusPublished - 2020
Event16th IEEE International Conference on Control and Automation, ICCA 2020 - Virtual, Sapporo, Hokkaido, Japan
Duration: 9 Oct 202011 Oct 2020

Conference

Conference16th IEEE International Conference on Control and Automation, ICCA 2020
CountryJapan
CityVirtual, Sapporo, Hokkaido
Period9/10/2011/10/20

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