You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

A Privacy-Preserving Distributed Greedy Framework to Desynchronize Power Consumption in a Network of Thermostatically Controlled Loads

Fulltext:


Authors:

Mojtaba Kaheni, Alessandro Papadopoulos, Elio Usai , Mauro Franceschelli

Research group:

Complex Real-Time Embedded Systems

Publication Type:

Journal article

Venue:

IEEE Transactions on Control Systems Technology

DOI:

10.1109/TCST.2024.3425210

Abstract

This manuscript presents a novel distributed greedy framework applicable to a network of Thermostatically Controlled Loads (TCLs) to desynchronize the network's aggregated power consumption. Compared to the existing literature, our proposed framework offers two distinct novelties. Firstly, our proposed algorithm relaxes the restrictive assumptions associated with the communication graph among TCLs. To elaborate, our algorithm only requires a connected graph to execute control, a condition less demanding than its counterpart algorithms that mandate a star architecture, $K$-regular graphs, or undirected connected graphs. Secondly, a significant novel feature is the relaxation of the obligation to share private information, such as each unit's local power consumption and appliance temperatures, either with a central coordinator or neighboring TCLs. The findings presented in this paper are validated through simulations conducted over a network comprising $1000$ TCLs.

Bibtex

@article{Kaheni6975,
author = {Mojtaba Kaheni and Alessandro Papadopoulos and Elio Usai and Mauro Franceschelli},
title = {A Privacy-Preserving Distributed Greedy Framework to Desynchronize Power Consumption in a Network of Thermostatically Controlled Loads},
volume = {32},
number = {6},
pages = {2476--2483},
month = {July},
year = {2024},
journal = {IEEE Transactions on Control Systems Technology},
url = {http://www.es.mdu.se/publications/6975-}
}