Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator

Fengji Luo; Gianluca Ranzi; Zhaoyang Dong

doi:10.1007/s40565-017-0329-5

Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator

Fengji Luo
, Gianluca Ranzi^*
, Zhaoyang Dong

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

17 Citations (Scopus)

10 Downloads (CityUHK Scholars)

Abstract

Thermostatically controlled loads (TCLs) have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy. The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs to be aggregated in their participation in the electricity markets. This paper focuses on the real-time scheduling of TCL aggregators in the power market using the structure of the Nordic electricity markets a case study. An International Organization of Standardization (ISO) thermal comfort model is employed to well control the occupants’ thermal comfort, while a rolling horizon optimization (RHO) strategy is proposed for the TCL aggregator to maximize its profit in the regulation market and to mitigate the impacts of system uncertainties. The simulations are performed by means of a metaheuristic optimization algorithm, i.e., natural aggregation algorithm (NAA). A series of simulations are conducted to validate the effectiveness of proposed method. © 2017, The Author(s).

Original language	English
Pages (from-to)	947-958
Journal	Journal of Modern Power Systems and Clean Energy
Volume	5
Issue number	6
DOIs	https://doi.org/10.1007/s40565-017-0329-5
Publication status	Published - 1 Nov 2017
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Demand response
Demand side management
Rolling horizon optimization
Thermal comfort model
Thermostatically controlled load

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This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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title = "Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator",

abstract = "Thermostatically controlled loads (TCLs) have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy. The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs to be aggregated in their participation in the electricity markets. This paper focuses on the real-time scheduling of TCL aggregators in the power market using the structure of the Nordic electricity markets a case study. An International Organization of Standardization (ISO) thermal comfort model is employed to well control the occupants{\textquoteright} thermal comfort, while a rolling horizon optimization (RHO) strategy is proposed for the TCL aggregator to maximize its profit in the regulation market and to mitigate the impacts of system uncertainties. The simulations are performed by means of a metaheuristic optimization algorithm, i.e., natural aggregation algorithm (NAA). A series of simulations are conducted to validate the effectiveness of proposed method. {\textcopyright} 2017, The Author(s).",

keywords = "Demand response, Demand side management, Rolling horizon optimization, Thermal comfort model, Thermostatically controlled load",

author = "Fengji Luo and Gianluca Ranzi and Zhaoyang Dong",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].",

year = "2017",

month = nov,

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doi = "10.1007/s40565-017-0329-5",

language = "English",

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TY - JOUR

T1 - Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator

AU - Luo, Fengji

AU - Ranzi, Gianluca

AU - Dong, Zhaoyang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2017/11/1

Y1 - 2017/11/1

N2 - Thermostatically controlled loads (TCLs) have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy. The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs to be aggregated in their participation in the electricity markets. This paper focuses on the real-time scheduling of TCL aggregators in the power market using the structure of the Nordic electricity markets a case study. An International Organization of Standardization (ISO) thermal comfort model is employed to well control the occupants’ thermal comfort, while a rolling horizon optimization (RHO) strategy is proposed for the TCL aggregator to maximize its profit in the regulation market and to mitigate the impacts of system uncertainties. The simulations are performed by means of a metaheuristic optimization algorithm, i.e., natural aggregation algorithm (NAA). A series of simulations are conducted to validate the effectiveness of proposed method. © 2017, The Author(s).

AB - Thermostatically controlled loads (TCLs) have great potentials to participate in the demand response programs due to their flexibility in storing thermal energy. The two-way communication infrastructure of smart grids provides opportunities for the smart buildings/houses equipped with TCLs to be aggregated in their participation in the electricity markets. This paper focuses on the real-time scheduling of TCL aggregators in the power market using the structure of the Nordic electricity markets a case study. An International Organization of Standardization (ISO) thermal comfort model is employed to well control the occupants’ thermal comfort, while a rolling horizon optimization (RHO) strategy is proposed for the TCL aggregator to maximize its profit in the regulation market and to mitigate the impacts of system uncertainties. The simulations are performed by means of a metaheuristic optimization algorithm, i.e., natural aggregation algorithm (NAA). A series of simulations are conducted to validate the effectiveness of proposed method. © 2017, The Author(s).

KW - Demand response

KW - Demand side management

KW - Rolling horizon optimization

KW - Thermal comfort model

KW - Thermostatically controlled load

UR - https://www.scopus.com/pages/publications/85037054468

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85037054468&origin=recordpage

U2 - 10.1007/s40565-017-0329-5

DO - 10.1007/s40565-017-0329-5

M3 - RGC 21 - Publication in refereed journal

SN - 2196-5625

VL - 5

SP - 947

EP - 958

JO - Journal of Modern Power Systems and Clean Energy

JF - Journal of Modern Power Systems and Clean Energy

IS - 6

ER -

Rolling horizon optimization for real-time operation of thermostatically controlled load aggregator

Abstract

Bibliographical note

Research Keywords

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