Real-Time Decision Making Model for Thermostatically Controlled Load Aggregators by Natural Aggregation Algorithm

Chenxi Li; Yingying Chen; Fengji Luo; Zhao Xu; Yu Zheng

doi:10.1109/ICEI.2017.56

Real-Time Decision Making Model for Thermostatically Controlled Load Aggregators by Natural Aggregation Algorithm

Chenxi Li
, Yingying Chen
, Fengji Luo
, Zhao Xu
, Yu Zheng

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

7 Citations (Scopus)

Abstract

With the development of Building-To-Grid (B2G) technology, Thermostatically Controlled Loads (TCLs) have been receiving increasing attention because promising candidates for Demand Response (DR) programs. This paper studies real-Time operation schemes of TCL aggregators in the power market. The contribution of this paper is to consider TCL aggregators as bidding players participating in the day-Ahead market, unlike existing works which often treat TCL aggregators as ancillary service providers. We investigate the real-Time operations of TCL aggregators after the determinations of day-Ahead load shedding volumes. The proposed model aims to minimize the operation costs of the TCL aggregator in the real-Time regulation market. A Rolling Horizon Optimization (RHO) technique is utilized to mitigate the impacts of forecasting errors. And a new metaheuristic algorithm, i.e. Natural Aggregation Algorithm (NAA), is applied here to solve the proposed model. Experiments are conducted to validate the proposed method.

Original language	English
Title of host publication	Proceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017
Publisher	IEEE
Pages	279-284
Number of pages	6
ISBN (Electronic)	9781509057597
DOIs	https://doi.org/10.1109/ICEI.2017.56
Publication status	Published - 11 May 2017
Event	1st IEEE International Conference on Energy Internet, ICEI 2017 - Beijing, China Duration: 17 Apr 2017 → 21 Apr 2017

Conference

Conference	1st IEEE International Conference on Energy Internet, ICEI 2017
Country/Territory	China
City	Beijing
Period	17/04/17 → 21/04/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

building-Togrid
demand response
natural aggregation algorithm
Thermostatically controlled load

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Computer Networks and Communications
Control and Optimization

More information

10.1109/ICEI.2017.56

Cite this

@inproceedings{93b70cc16e7142079373f4b28e794900,

title = "Real-Time Decision Making Model for Thermostatically Controlled Load Aggregators by Natural Aggregation Algorithm",

abstract = "With the development of Building-To-Grid (B2G) technology, Thermostatically Controlled Loads (TCLs) have been receiving increasing attention because promising candidates for Demand Response (DR) programs. This paper studies real-Time operation schemes of TCL aggregators in the power market. The contribution of this paper is to consider TCL aggregators as bidding players participating in the day-Ahead market, unlike existing works which often treat TCL aggregators as ancillary service providers. We investigate the real-Time operations of TCL aggregators after the determinations of day-Ahead load shedding volumes. The proposed model aims to minimize the operation costs of the TCL aggregator in the real-Time regulation market. A Rolling Horizon Optimization (RHO) technique is utilized to mitigate the impacts of forecasting errors. And a new metaheuristic algorithm, i.e. Natural Aggregation Algorithm (NAA), is applied here to solve the proposed model. Experiments are conducted to validate the proposed method.",

keywords = "building-Togrid, demand response, natural aggregation algorithm, Thermostatically controlled load",

author = "Chenxi Li and Yingying Chen and Fengji Luo and Zhao Xu and Yu Zheng",

year = "2017",

month = may,

day = "11",

doi = "10.1109/ICEI.2017.56",

language = "English",

pages = "279--284",

booktitle = "Proceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017",

publisher = "IEEE",

address = "United States",

note = "1st IEEE International Conference on Energy Internet, ICEI 2017 ; Conference date: 17-04-2017 Through 21-04-2017",

}

Li, C, Chen, Y, Luo, F, Xu, Z & Zheng, Y 2017, Real-Time Decision Making Model for Thermostatically Controlled Load Aggregators by Natural Aggregation Algorithm. in Proceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017., 7926888, IEEE, pp. 279-284, 1st IEEE International Conference on Energy Internet, ICEI 2017, Beijing, China, 17/04/17. https://doi.org/10.1109/ICEI.2017.56

Real-Time Decision Making Model for Thermostatically Controlled Load Aggregators by Natural Aggregation Algorithm. / Li, Chenxi; Chen, Yingying; Luo, Fengji et al.
Proceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017. IEEE, 2017. p. 279-284 7926888.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Real-Time Decision Making Model for Thermostatically Controlled Load Aggregators by Natural Aggregation Algorithm

AU - Li, Chenxi

AU - Chen, Yingying

AU - Luo, Fengji

AU - Xu, Zhao

AU - Zheng, Yu

PY - 2017/5/11

Y1 - 2017/5/11

N2 - With the development of Building-To-Grid (B2G) technology, Thermostatically Controlled Loads (TCLs) have been receiving increasing attention because promising candidates for Demand Response (DR) programs. This paper studies real-Time operation schemes of TCL aggregators in the power market. The contribution of this paper is to consider TCL aggregators as bidding players participating in the day-Ahead market, unlike existing works which often treat TCL aggregators as ancillary service providers. We investigate the real-Time operations of TCL aggregators after the determinations of day-Ahead load shedding volumes. The proposed model aims to minimize the operation costs of the TCL aggregator in the real-Time regulation market. A Rolling Horizon Optimization (RHO) technique is utilized to mitigate the impacts of forecasting errors. And a new metaheuristic algorithm, i.e. Natural Aggregation Algorithm (NAA), is applied here to solve the proposed model. Experiments are conducted to validate the proposed method.

AB - With the development of Building-To-Grid (B2G) technology, Thermostatically Controlled Loads (TCLs) have been receiving increasing attention because promising candidates for Demand Response (DR) programs. This paper studies real-Time operation schemes of TCL aggregators in the power market. The contribution of this paper is to consider TCL aggregators as bidding players participating in the day-Ahead market, unlike existing works which often treat TCL aggregators as ancillary service providers. We investigate the real-Time operations of TCL aggregators after the determinations of day-Ahead load shedding volumes. The proposed model aims to minimize the operation costs of the TCL aggregator in the real-Time regulation market. A Rolling Horizon Optimization (RHO) technique is utilized to mitigate the impacts of forecasting errors. And a new metaheuristic algorithm, i.e. Natural Aggregation Algorithm (NAA), is applied here to solve the proposed model. Experiments are conducted to validate the proposed method.

KW - building-Togrid

KW - demand response

KW - natural aggregation algorithm

KW - Thermostatically controlled load

UR - https://www.scopus.com/pages/publications/85020213024

U2 - 10.1109/ICEI.2017.56

DO - 10.1109/ICEI.2017.56

M3 - Conference article published in proceeding or book

SP - 279

EP - 284

BT - Proceedings - 1st IEEE International Conference on Energy Internet, ICEI 2017

PB - IEEE

T2 - 1st IEEE International Conference on Energy Internet, ICEI 2017

Y2 - 17 April 2017 through 21 April 2017

ER -

Real-Time Decision Making Model for Thermostatically Controlled Load Aggregators by Natural Aggregation Algorithm

Abstract

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this