Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
10.1145/3208903.3208936acmconferencesArticle/Chapter ViewAbstractPublication Pagese-energyConference Proceedingsconference-collections
research-article

Day-ahead Trading of Aggregated Energy Flexibility

Published: 12 June 2018 Publication History
  • Get Citation Alerts
  • 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.
    [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).
    [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
    [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).
    [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

    View all
    • (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
    • (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
    • (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
    • Show More Cited By

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    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
    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].

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 12 June 2018

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. Aggregation
    2. Day-Ahead market
    3. Energy Flexibility

    Qualifiers

    • Research-article
    • Research
    • Refereed limited

    Conference

    e-Energy '18
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 160 of 446 submissions, 36%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)11
    • Downloads (Last 6 weeks)4
    Reflects downloads up to 09 Aug 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (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
    • (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
    • (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
    • (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
    • (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
    • (2022)CIMTradeProceedings of the Thirteenth ACM International Conference on Future Energy Systems10.1145/3538637.3538857(277-288)Online publication date: 28-Jun-2022
    • (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
    • (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
    • (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
    • (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

    View Options

    Get Access

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media