A Novel Technique to Enhance Demand Responsiveness:  An EV Based Test Case

Seyed-Mostafa Farashbashi-Astaneh; Bishnu Prasad Bhattarai; Birgitte Bak-Jensen; Weihao Hu; Jayakrishnan Radhakrishna Pillai; Zhe Chen

doi:10.1109/APPEEC.2015.7380885

A Novel Technique to Enhance Demand Responsiveness: An EV Based Test Case

Seyed-Mostafa Farashbashi-Astaneh, Bishnu Prasad Bhattarai, Birgitte Bak-Jensen, Weihao Hu, Jayakrishnan Radhakrishna Pillai, Zhe Chen

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

Abstract

In this study, a new pricing approach is proposed to increase demand responsiveness. The proposed approach considers two well-known demand side management techniques, namely peak shaving and valley filling. This is done by incentivising consumers by magnifying price difference between peak and off-peak hours. The usefulness of the suggested method is then investigated by its combination with an electric vehicle optimal scheduling methodology which captures both economic valuation and grid technical constraints. This case is chosen in this study to address network congestion issues, namely under-voltages and overloading which are foreseen as major issues in the distribution system in the coming years. Simulation results demonstrated that the proposed methodology can successfully shift load from peak to off-peak hours, thereby letting higher penetration of EVs in a given distribution feeder.

Original language	English
Title of host publication	Proceedings of the IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015 (IEEE PES APPEEC 2015)
Number of pages	5
Publisher	IEEE Press
Publication date	Nov 2015
Pages	1-5
Article number	52
ISBN (Electronic)	978-1-4673-8132-1
DOIs	https://doi.org/10.1109/APPEEC.2015.7380885
Publication status	Published - Nov 2015
Event	IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015 (IEEE PES APPEEC 2015) - Brisbane, Australia Duration: 15 Nov 2015 → 18 Nov 2015

Conference

Conference	IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015 (IEEE PES APPEEC 2015)
Country/Territory	Australia
City	Brisbane
Period	15/11/2015 → 18/11/2015

Keywords

Demand response
Demand side management
Distribution grid
Electric vehicle
Price-based load shifting

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10.1109/APPEEC.2015.7380885

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Cite this

@inproceedings{d2fc0bf670c240f099df2e79ad57510d,

title = "A Novel Technique to Enhance Demand Responsiveness: An EV Based Test Case",

abstract = "In this study, a new pricing approach is proposed to increase demand responsiveness. The proposed approach considers two well-known demand side management techniques, namely peak shaving and valley filling. This is done by incentivising consumers by magnifying price difference between peak and off-peak hours. The usefulness of the suggested method is then investigated by its combination with an electric vehicle optimal scheduling methodology which captures both economic valuation and grid technical constraints. This case is chosen in this study to address network congestion issues, namely under-voltages and overloading which are foreseen as major issues in the distribution system in the coming years. Simulation results demonstrated that the proposed methodology can successfully shift load from peak to off-peak hours, thereby letting higher penetration of EVs in a given distribution feeder.",

keywords = "Demand response, Demand side management, Distribution grid, Electric vehicle, Price-based load shifting",

author = "Seyed-Mostafa Farashbashi-Astaneh and Bhattarai, {Bishnu Prasad} and Birgitte Bak-Jensen and Weihao Hu and Pillai, {Jayakrishnan Radhakrishna} and Zhe Chen",

year = "2015",

month = nov,

doi = "10.1109/APPEEC.2015.7380885",

language = "English",

pages = "1--5",

booktitle = "Proceedings of the IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015 (IEEE PES APPEEC 2015)",

publisher = "IEEE Press",

note = "IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015 (IEEE PES APPEEC 2015) ; Conference date: 15-11-2015 Through 18-11-2015",

}

Farashbashi-Astaneh, S-M, Bhattarai, BP, Bak-Jensen, B, Hu, W, Pillai, JR & Chen, Z 2015, A Novel Technique to Enhance Demand Responsiveness: An EV Based Test Case. in Proceedings of the IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015 (IEEE PES APPEEC 2015)., 52, IEEE Press, pp. 1-5, IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015 (IEEE PES APPEEC 2015), Brisbane, Australia, 15/11/2015. https://doi.org/10.1109/APPEEC.2015.7380885

A Novel Technique to Enhance Demand Responsiveness: An EV Based Test Case. / Farashbashi-Astaneh, Seyed-Mostafa; Bhattarai, Bishnu Prasad; Bak-Jensen, Birgitte et al.
Proceedings of the IEEE PES Asia-Pacific Power and Energy Engineering Conference 2015 (IEEE PES APPEEC 2015). IEEE Press, 2015. p. 1-5 52.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Farashbashi-Astaneh, Seyed-Mostafa

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AU - Bak-Jensen, Birgitte

AU - Hu, Weihao

AU - Pillai, Jayakrishnan Radhakrishna

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N2 - In this study, a new pricing approach is proposed to increase demand responsiveness. The proposed approach considers two well-known demand side management techniques, namely peak shaving and valley filling. This is done by incentivising consumers by magnifying price difference between peak and off-peak hours. The usefulness of the suggested method is then investigated by its combination with an electric vehicle optimal scheduling methodology which captures both economic valuation and grid technical constraints. This case is chosen in this study to address network congestion issues, namely under-voltages and overloading which are foreseen as major issues in the distribution system in the coming years. Simulation results demonstrated that the proposed methodology can successfully shift load from peak to off-peak hours, thereby letting higher penetration of EVs in a given distribution feeder.

AB - In this study, a new pricing approach is proposed to increase demand responsiveness. The proposed approach considers two well-known demand side management techniques, namely peak shaving and valley filling. This is done by incentivising consumers by magnifying price difference between peak and off-peak hours. The usefulness of the suggested method is then investigated by its combination with an electric vehicle optimal scheduling methodology which captures both economic valuation and grid technical constraints. This case is chosen in this study to address network congestion issues, namely under-voltages and overloading which are foreseen as major issues in the distribution system in the coming years. Simulation results demonstrated that the proposed methodology can successfully shift load from peak to off-peak hours, thereby letting higher penetration of EVs in a given distribution feeder.

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KW - Price-based load shifting

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