Use of adaptive thermal storage system as smart load for voltage control and demand response

Xiao Luo; Chi Kwan Lee; Wai Man Ng; Shuo Yan; Balarko Chaudhuri; Shu Yuen Ron Hui

doi:10.1109/TSG.2015.2513743

Use of adaptive thermal storage system as smart load for voltage control and demand response

Xiao Luo, Chi Kwan Lee, Wai Man Ng, Shuo Yan, Balarko Chaudhuri, Shu Yuen Ron Hui

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

50 Citations (Scopus)

Abstract

This paper describes how a large-scale ice-thermal storage can be turned into a smart load for fast voltage control and demand-side management in power systems with intermittent renewable power, while maintaining its existing function of load shaving. The possibility of modifying a conventional thermal load has been practically demonstrated in a refrigerator using power electronics technology. With the help of an electric spring, the modified thermal load can reduce power imbalance in buildings while providing active and reactive power compensation for the power grid. Based on practical data, a building energy model incorporating a large-scale ice-thermal storage system has been successfully used to demonstrate the advantageous demand-response features using computer simulation of both grid connected and isolated power systems. The results indicate the potential of using ice-thermal storage in tall buildings in reducing voltage and frequency fluctuations in weak power grids. © 2017 IEEE.

Original language	English
Pages (from-to)	1231-1241
Journal	IEEE Transactions on Smart Grid
Volume	8
Issue number	3
DOIs	https://doi.org/10.1109/TSG.2015.2513743
Publication status	Published - 1 May 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].

Funding

This work was supported in part by the Hong Kong Research Grant Council through the Theme-Based Research Fund under Grant T23-701/14-N, and in part by the Engineering and Physical Sciences Research Council under Grant EP/K006274/1. Paper no. TSG-00275-2015.

Research Keywords

Adaptive building energy modeling
Electric springs
Smart loads
Thermal storage

RGC Funding Information

RGC-funded

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abstract = "This paper describes how a large-scale ice-thermal storage can be turned into a smart load for fast voltage control and demand-side management in power systems with intermittent renewable power, while maintaining its existing function of load shaving. The possibility of modifying a conventional thermal load has been practically demonstrated in a refrigerator using power electronics technology. With the help of an electric spring, the modified thermal load can reduce power imbalance in buildings while providing active and reactive power compensation for the power grid. Based on practical data, a building energy model incorporating a large-scale ice-thermal storage system has been successfully used to demonstrate the advantageous demand-response features using computer simulation of both grid connected and isolated power systems. The results indicate the potential of using ice-thermal storage in tall buildings in reducing voltage and frequency fluctuations in weak power grids. {\textcopyright} 2017 IEEE.",

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AU - Luo, Xiao

AU - Lee, Chi Kwan

AU - Ng, Wai Man

AU - Yan, Shuo

AU - Chaudhuri, Balarko

AU - Hui, Shu Yuen Ron

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].

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N2 - This paper describes how a large-scale ice-thermal storage can be turned into a smart load for fast voltage control and demand-side management in power systems with intermittent renewable power, while maintaining its existing function of load shaving. The possibility of modifying a conventional thermal load has been practically demonstrated in a refrigerator using power electronics technology. With the help of an electric spring, the modified thermal load can reduce power imbalance in buildings while providing active and reactive power compensation for the power grid. Based on practical data, a building energy model incorporating a large-scale ice-thermal storage system has been successfully used to demonstrate the advantageous demand-response features using computer simulation of both grid connected and isolated power systems. The results indicate the potential of using ice-thermal storage in tall buildings in reducing voltage and frequency fluctuations in weak power grids. © 2017 IEEE.

AB - This paper describes how a large-scale ice-thermal storage can be turned into a smart load for fast voltage control and demand-side management in power systems with intermittent renewable power, while maintaining its existing function of load shaving. The possibility of modifying a conventional thermal load has been practically demonstrated in a refrigerator using power electronics technology. With the help of an electric spring, the modified thermal load can reduce power imbalance in buildings while providing active and reactive power compensation for the power grid. Based on practical data, a building energy model incorporating a large-scale ice-thermal storage system has been successfully used to demonstrate the advantageous demand-response features using computer simulation of both grid connected and isolated power systems. The results indicate the potential of using ice-thermal storage in tall buildings in reducing voltage and frequency fluctuations in weak power grids. © 2017 IEEE.

KW - Adaptive building energy modeling

KW - Electric springs

KW - Smart loads

KW - Thermal storage

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JO - IEEE Transactions on Smart Grid

JF - IEEE Transactions on Smart Grid

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Use of adaptive thermal storage system as smart load for voltage control and demand response

Abstract

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Research Keywords

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