Least laxity first scheduling of thermostatically controlled loads for regulation services

Mahnoosh Alizadeh, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

We propose a least laxity first (LLF) scheduling algorithm for a heterogeneous population of thermostatically controlled loads (TCL), aimed at providing regulation services for the power grid. TCLs periodically switch between on and off states in order to keep their monitored temperature in a certain comfort band. In our scheme, TCLs inform a central controller of their anticipated deadlines to switch states, allowing for their switching events to be scheduled. An LLF policy schedules these transitions to provide regulation with minimum deviation from the autonomous evolution of the TCLs. To manage large populations, we bundle requests with similar laxity values in a limited number of clusters, considerably reducing computational and communication costs, and preserving the privacy of participants.

Original languageEnglish (US)
Title of host publication2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings
Pages503-506
Number of pages4
DOIs
StatePublished - Dec 1 2013
Externally publishedYes
Event2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Austin, TX, United States
Duration: Dec 3 2013Dec 5 2013

Publication series

Name2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings

Other

Other2013 1st IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013
CountryUnited States
CityAustin, TX
Period12/3/1312/5/13

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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    Alizadeh, M., & Scaglione, A. (2013). Least laxity first scheduling of thermostatically controlled loads for regulation services. In 2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings (pp. 503-506). [6736925] (2013 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2013 - Proceedings). https://doi.org/10.1109/GlobalSIP.2013.6736925