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

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

UN SDGs

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

More information

10.1109/ICEI.2017.56

Cite this

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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.",

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

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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

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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.

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ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

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