Value of thermostatic loads in energyffirequency response markets

A mean field game approach

Antonio De Paola, Vincenzo Trovato, David Angeli, Goran Strbac

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

3 Downloads (Pure)

Abstract

This paper studies the distributed coordination of large populations of thermostatically controlled loads (TCLs). It is assumed that each TCL operates in an integrated energy/frequency response market and reacts to broadcast prices in order to minimize its energy cost and, at the same time, maximize its revenues from frequency response. A mean field game is used to model the competing interactions between the TCLs, quantify their impact on the system unit commitment and characterize the desired market equilibrium solution. This approach is then compared with a no-flexibility case in a 2030 scenario of the GB system, assessing the potential benefits of different types of flexible price-responsive TCLs in terms of cost reduction for the individual customers and for the overall system.
Original languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherIEEE
ISBN (Electronic)9781538647226
DOIs
Publication statusPublished - 26 Aug 2019
EventIEEE Milan PowerTech - Milan, Italy
Duration: 23 Jun 201927 Jun 2019

Publication series

Name2019 IEEE Milan PowerTech, PowerTech 2019

Conference

ConferenceIEEE Milan PowerTech
CountryItaly
CityMilan
Period23/06/1927/06/19

Keywords

  • Distributed control
  • Mean field games
  • Thermal energy storage
  • Thermostatic loads

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality

Cite this

De Paola, A., Trovato, V., Angeli, D., & Strbac, G. (2019). Value of thermostatic loads in energyffirequency response markets: A mean field game approach. In 2019 IEEE Milan PowerTech, PowerTech 2019 (2019 IEEE Milan PowerTech, PowerTech 2019). IEEE. https://doi.org/10.1109/PTC.2019.8810683

Value of thermostatic loads in energyffirequency response markets : A mean field game approach. / De Paola, Antonio; Trovato, Vincenzo; Angeli, David ; Strbac, Goran.

2019 IEEE Milan PowerTech, PowerTech 2019. IEEE, 2019. (2019 IEEE Milan PowerTech, PowerTech 2019).

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

De Paola, A, Trovato, V, Angeli, D & Strbac, G 2019, Value of thermostatic loads in energyffirequency response markets: A mean field game approach. in 2019 IEEE Milan PowerTech, PowerTech 2019. 2019 IEEE Milan PowerTech, PowerTech 2019, IEEE, IEEE Milan PowerTech, Milan, Italy, 23/06/19. https://doi.org/10.1109/PTC.2019.8810683
De Paola A, Trovato V, Angeli D, Strbac G. Value of thermostatic loads in energyffirequency response markets: A mean field game approach. In 2019 IEEE Milan PowerTech, PowerTech 2019. IEEE. 2019. (2019 IEEE Milan PowerTech, PowerTech 2019). https://doi.org/10.1109/PTC.2019.8810683
De Paola, Antonio ; Trovato, Vincenzo ; Angeli, David ; Strbac, Goran. / Value of thermostatic loads in energyffirequency response markets : A mean field game approach. 2019 IEEE Milan PowerTech, PowerTech 2019. IEEE, 2019. (2019 IEEE Milan PowerTech, PowerTech 2019).
@inproceedings{74edeb8bbd0440c58ee906f240401b5f,
title = "Value of thermostatic loads in energyffirequency response markets: A mean field game approach",
abstract = "This paper studies the distributed coordination of large populations of thermostatically controlled loads (TCLs). It is assumed that each TCL operates in an integrated energy/frequency response market and reacts to broadcast prices in order to minimize its energy cost and, at the same time, maximize its revenues from frequency response. A mean field game is used to model the competing interactions between the TCLs, quantify their impact on the system unit commitment and characterize the desired market equilibrium solution. This approach is then compared with a no-flexibility case in a 2030 scenario of the GB system, assessing the potential benefits of different types of flexible price-responsive TCLs in terms of cost reduction for the individual customers and for the overall system.",
keywords = "Distributed control, Mean field games, Thermal energy storage, Thermostatic loads",
author = "{De Paola}, Antonio and Vincenzo Trovato and David Angeli and Goran Strbac",
year = "2019",
month = "8",
day = "26",
doi = "10.1109/PTC.2019.8810683",
language = "English",
series = "2019 IEEE Milan PowerTech, PowerTech 2019",
publisher = "IEEE",
booktitle = "2019 IEEE Milan PowerTech, PowerTech 2019",
address = "USA United States",

}

TY - GEN

T1 - Value of thermostatic loads in energyffirequency response markets

T2 - A mean field game approach

AU - De Paola, Antonio

AU - Trovato, Vincenzo

AU - Angeli, David

AU - Strbac, Goran

PY - 2019/8/26

Y1 - 2019/8/26

N2 - This paper studies the distributed coordination of large populations of thermostatically controlled loads (TCLs). It is assumed that each TCL operates in an integrated energy/frequency response market and reacts to broadcast prices in order to minimize its energy cost and, at the same time, maximize its revenues from frequency response. A mean field game is used to model the competing interactions between the TCLs, quantify their impact on the system unit commitment and characterize the desired market equilibrium solution. This approach is then compared with a no-flexibility case in a 2030 scenario of the GB system, assessing the potential benefits of different types of flexible price-responsive TCLs in terms of cost reduction for the individual customers and for the overall system.

AB - This paper studies the distributed coordination of large populations of thermostatically controlled loads (TCLs). It is assumed that each TCL operates in an integrated energy/frequency response market and reacts to broadcast prices in order to minimize its energy cost and, at the same time, maximize its revenues from frequency response. A mean field game is used to model the competing interactions between the TCLs, quantify their impact on the system unit commitment and characterize the desired market equilibrium solution. This approach is then compared with a no-flexibility case in a 2030 scenario of the GB system, assessing the potential benefits of different types of flexible price-responsive TCLs in terms of cost reduction for the individual customers and for the overall system.

KW - Distributed control

KW - Mean field games

KW - Thermal energy storage

KW - Thermostatic loads

UR - http://www.scopus.com/inward/record.url?scp=85072338955&partnerID=8YFLogxK

U2 - 10.1109/PTC.2019.8810683

DO - 10.1109/PTC.2019.8810683

M3 - Conference contribution

T3 - 2019 IEEE Milan PowerTech, PowerTech 2019

BT - 2019 IEEE Milan PowerTech, PowerTech 2019

PB - IEEE

ER -