research-article

Day-ahead Trading of Aggregated Energy Flexibility

Authors:

Emmanouil Valsomatzis,

Torben Bach Pedersen,

Alberto AbellóAuthors Info & Claims

e-Energy '18: Proceedings of the Ninth International Conference on Future Energy Systems

Pages 134 - 138

https://doi.org/10.1145/3208903.3208936

Published: 12 June 2018 Publication History

Abstract

Flexibility of small loads, in particular from Electric Vehicles (EVs), has recently attracted a lot of interest due to their possibility of participating in the energy market and the new commercial potentials. Different from existing work, the aggregation technique proposed in this paper produces flexible aggregated loads from EVs taking into account technical market requirements. The flexible aggregated loads can be further traded in the day-ahead market by a Balance Responsible Party (BRP) via the so-called flexible orders. As a result, the BRP can achieve more than 19% cost reduction in energy purchase based on the 2017 real electricity prices from Danish electricity market.

References

[1]

2012. The MIRABEL project. http://www.mirabel-project.eu.

[2]

2015. The TotalFlex project. http://www.totalflex.dk.

[3]

2017. Nord pool market. http://www.nordpoolspot.com.

[4]

L. Baringo and R. S. Amaro. 2017. A stochastic robust optimization approach for the bidding strategy of an electric vehicle aggregator. Electric Power Systems Research 146 (2017).

[5]

R. J. Bessa, M. A. Matos, F. J. Soares, and J. A. P. Lopes. 2012. Optimized Bidding of a EV Aggregation Agent in the Electricity Market. IEEE Trans. on Smart Grid 3 (2012).

[6]

B. Biegel, L. H.and J. Stoustrup, P. Andersen, and S. Harbo. 2014. Value of flexible consumption in the electricity markets. Energy 66 (2014).

[7]

M. Boehm, L. Dannecker, A. Doms, E. Dovgan, B Filipič, U. Fischer, Wolfgang L., T. B. Pedersen, Y Pitarch, L. Šikšnys, and T. Tušar. 2012. Data Management in the MIRABEL Smart Grid System. In Proceedings of the Joint EDBT/ICDT Workshops, EnDM.

Digital Library

[8]

Y. Cao, S. Tang, C. Li, P. Zhang, Y. Tan, Z. Zhang, and J. Li. 2012. An Optimized EV Charging Model Considering TOU Price and SOC Curve. IEEE Trans. on Smart Grid 3 (2012).

[9]

J. Hu, H. Morais, T. Sousa, and M. Lind. 2016. Electric vehicle fleet management in smart grids: A review of services, optimization and control aspects. Renewable and Sustainable Energy Reviews 56 (2016).

[10]

C. Jin, J. Tang, and P. Ghosh. 2013. Optimizing Electric Vehicle Charging With Energy Storage in the Electricity Market. IEEE Trans. on Smart Grid 4 (2013).

[11]

T. K. Kristoffersen, K. Capion, and P. Meibom. 2011. Optimal charging of electric drive vehicles in a market environment. Applied Energy 88 (2011).

[12]

M. R. Sarker, Y. Dvorkin, and M. A. Ortega-Vazquez. 2016. Optimal Participation of an Electric Vehicle Aggregator in Day-Ahead Energy and Reserve Markets. IEEE Trans. on Power Systems 31 (2016).

[13]

L. Siksnys, E. Valsomatzis, K. Hose, and T. B. Pedersen. 2015. Aggregating and Disaggregating Flexibility Objects. IEEE Trans. on Knowledge and Data Engineering 27 (2015).

Digital Library

[14]

S. I. Vagropoulos, D. K. Kyriazidis, and A. G. Bakirtzis. 2016. Real-Time Charging Management Framework for Electric Vehicle Aggregators in a Market Environment. IEEE Trans. on Smart Grid 7 (2016).

[15]

Emmanouil Valsomatzis, Katja Hose, Torben Bach Pedersen, and Laurynas Siksnys. 2015. Measuring and Comparing Energy Flexibilities. In Proceedings of the Joint EDBT/ICDT Workshops, EnDM.

[16]

E. Valsomatzis, T. B. Pedersen, and A. Abello. 2018. Day-ahead Trading of Aggregated Energy Flexibility - Full Version. CoRR arXiv:1805.02301 (2018). http://arxiv.org/abs/1805.02301

Digital Library

[17]

E. Valsomatzis, T. B. Pedersen, A. Abello, and K. Hose. 2016. Aggregating energy flexibilities under constraints. In 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm). 484--490.

[18]

M. Gonzalez Vaya and G. Andersson. 2015. Optimal Bidding Strategy of a Plug-In Electric Vehicle Aggregator in Day-Ahead Electricity Markets Under Uncertainty. IEEE Trans. on Power Systems 30 (2015).

[19]

Laurynas Šikšnys and Torben Bach Pedersen. 2016. Dependency-based FlexOffers: Scalable Management of Flexible Loads with Dependencies. In Proceedings of the Seventh International Conference on Future Energy Systems (e-Energy '16).

Digital Library

[20]

L. Yang, J. Zhang, and H. V. Poor. 2014. Risk-Aware Day-Ahead Scheduling and Real-time Dispatch for Electric Vehicle Charging. IEEE Trans. on Smart Grid 5 (2014).

Cited By

Sales-Ortiz JArdakanian O(2024)Efficient Trading of Aggregate Bidirectional EV Charging Flexibility with Reinforcement LearningProceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems10.1145/3632775.3661949(134-146)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3632775.3661949
Harst MKnörr J(2024)Enhancing Retail Flexibility Bidding in European Electricity Markets through Bid Conversion2024 20th International Conference on the European Energy Market (EEM)10.1109/EEM60825.2024.10608950(1-8)Online publication date: 10-Jun-2024
https://doi.org/10.1109/EEM60825.2024.10608950
Garg KMisra PBichpuriya YVasan A(2023)Managed Bidirectional Charging of Electric Fleets with ArbitrageProceedings of the Third International Conference on AI-ML Systems10.1145/3639856.3639860(1-9)Online publication date: 25-Oct-2023
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cover image ACM Conferences

e-Energy '18: Proceedings of the Ninth International Conference on Future Energy Systems

June 2018

657 pages

ISBN:9781450357678

DOI:10.1145/3208903

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 12 June 2018

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e-Energy '18

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SIGCOMM

e-Energy '18: The Ninth International Conference on Future Energy Systems

June 12 - 15, 2018

Karlsruhe, Germany

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Overall Acceptance Rate 160 of 446 submissions, 36%

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Cited By

Sales-Ortiz JArdakanian O(2024)Efficient Trading of Aggregate Bidirectional EV Charging Flexibility with Reinforcement LearningProceedings of the 15th ACM International Conference on Future and Sustainable Energy Systems10.1145/3632775.3661949(134-146)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3632775.3661949
Harst MKnörr J(2024)Enhancing Retail Flexibility Bidding in European Electricity Markets through Bid Conversion2024 20th International Conference on the European Energy Market (EEM)10.1109/EEM60825.2024.10608950(1-8)Online publication date: 10-Jun-2024
https://doi.org/10.1109/EEM60825.2024.10608950
Garg KMisra PBichpuriya YVasan A(2023)Managed Bidirectional Charging of Electric Fleets with ArbitrageProceedings of the Third International Conference on AI-ML Systems10.1145/3639856.3639860(1-9)Online publication date: 25-Oct-2023
https://dl.acm.org/doi/10.1145/3639856.3639860
Rahman SSales-Ortiz JArdakanian O(2023)Making a Virtual Power Plant out of Privately Owned Electric Vehicles: From Contract Design to SchedulingProceedings of the 14th ACM International Conference on Future Energy Systems10.1145/3575813.3597353(459-472)Online publication date: 20-Jun-2023
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Thorat RBhatt P(2023)A Comprehensive Review on G2V,V2G and Optimization Techniques for Grid Integration of Electric Vehicles2023 IEEE 11th Region 10 Humanitarian Technology Conference (R10-HTC)10.1109/R10-HTC57504.2023.10461852(402-407)Online publication date: 16-Oct-2023
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Lokhande SSarangan VMenon VPrajapati ABichpuriya YRajagopal NMahilong NLehnhoff SIrwin DWang D(2022)CIMTradeProceedings of the Thirteenth ACM International Conference on Future Energy Systems10.1145/3538637.3538857(277-288)Online publication date: 28-Jun-2022
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Lilliu FPedersen TSiksnys L(2021)Capturing Battery Flexibility in a General and Scalable Way Using the FlexOffer Model2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)10.1109/SmartGridComm51999.2021.9631999(64-70)Online publication date: 25-Oct-2021
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Javaid USikdar B(2021)A Lightweight and Secure Energy Trading Framework for Electric Vehicles2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)10.1109/SeFet48154.2021.9375754(1-6)Online publication date: 21-Jan-2021
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Hamadou HBach Pedersen TThomsen C(2020)The Danish National Energy Data Lake: Requirements, Technical Architecture, and Tool Selection2020 IEEE International Conference on Big Data (Big Data)10.1109/BigData50022.2020.9378368(1523-1532)Online publication date: 10-Dec-2020
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Šikšnys LPedersen TAftab MNeupane B(2019)Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy SystemsProceedings of the Tenth ACM International Conference on Future Energy Systems10.1145/3307772.3328296(170-180)Online publication date: 15-Jun-2019
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