Imperial College London
Portrait Picture

DrDarioPaccagnan

Faculty of Engineering, Department of Computing

Senior Lecturer
 
 
 
//

Contact

 

d.paccagnan Website

 
 
//

Location

 

Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Paccagnan:2016:10.1109/cdc.2015.7403144,
author = {Paccagnan, D and Kamgarpour, M and Lygeros, J},
doi = {10.1109/cdc.2015.7403144},
pages = {5883--5888},
publisher = {IEEE},
title = {On the range of feasible power trajectories for a population of thermostatically controlled loads},
url = {http://dx.doi.org/10.1109/cdc.2015.7403144},
year = {2016}
}
Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We study the potential of a population of thermostatically controlled loads to track desired power signals with provable guarantees. Based on connecting the temperature state of an individual device with its internal energy, we derive necessary conditions that a given power signal needs to satisfy in order for the aggregation of devices to track it using non-disruptive probabilistic switching control. Our derivation takes into account hybrid individual dynamics, an accurate continuous-time Markov chain model for the population dynamics and bounds on switching rates of individual devices. We illustrate the approach with case studies.
AU  - Paccagnan,D
AU  - Kamgarpour,M
AU  - Lygeros,J
DO  - 10.1109/cdc.2015.7403144
EP  - 5888
PB  - IEEE
PY  - 2016///
SP  - 5883
TI  - On the range of feasible power trajectories for a population of thermostatically controlled loads
UR  - http://dx.doi.org/10.1109/cdc.2015.7403144
UR  - https://ieeexplore.ieee.org/document/7403144
UR  - http://hdl.handle.net/10044/1/84043
ER  -
Download