IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i3p539-d484551.html
   My bibliography  Save this article

To Represent Electric Vehicles in Electricity Systems Modelling—Aggregated Vehicle Representation vs. Individual Driving Profiles

Author

Listed:
  • Maria Taljegard

    (Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • Lisa Göransson

    (Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • Mikael Odenberger

    (Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

  • Filip Johnsson

    (Department of Space, Earth and Environment, Chalmers University of Technology, 412 96 Gothenburg, Sweden)

Abstract

This study describes, applies, and compares three different approaches to integrate electric vehicles (EVs) in a cost-minimising electricity system investment model and a dispatch model. The approaches include both an aggregated vehicle representation and individual driving profiles of passenger EVs. The driving patterns of 426 randomly selected vehicles in Sweden were recorded between 30 and 73 days each and used as input to the electricity system model for the individual driving profiles. The main conclusion is that an aggregated vehicle representation gives similar results as when including individual driving profiles for most scenarios modelled. However, this study also concludes that it is important to represent the heterogeneity of individual driving profiles in electricity system optimisation models when: (i) charging infrastructure is limited to only the home location in regions with a high share of solar and wind power in the electricity system, and (ii) when addressing special research issues such as impact of vehicle-to-grid (V2G) on battery health status. An aggregated vehicle representation will, if the charging infrastructure is limited to only home location, over-estimate the V2G potential resulting in a higher share (up to 10 percentage points) of variable renewable electricity generation and an under-estimation of investments in both short- and long-term storage technologies.

Suggested Citation

  • Maria Taljegard & Lisa Göransson & Mikael Odenberger & Filip Johnsson, 2021. "To Represent Electric Vehicles in Electricity Systems Modelling—Aggregated Vehicle Representation vs. Individual Driving Profiles," Energies, MDPI, vol. 14(3), pages 1-25, January.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:539-:d:484551
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/3/539/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/3/539/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Göransson, Lisa & Karlsson, Sten & Johnsson, Filip, 2010. "Integration of plug-in hybrid electric vehicles in a regional wind-thermal power system," Energy Policy, Elsevier, vol. 38(10), pages 5482-5492, October.
    2. Johansson, Viktor & Lehtveer, Mariliis & Göransson, Lisa, 2019. "Biomass in the electricity system: A complement to variable renewables or a source of negative emissions?," Energy, Elsevier, vol. 168(C), pages 532-541.
    3. Göransson, Lisa & Goop, Joel & Odenberger, Mikael & Johnsson, Filip, 2017. "Impact of thermal plant cycling on the cost-optimal composition of a regional electricity generation system," Applied Energy, Elsevier, vol. 197(C), pages 230-240.
    4. Schuller, Alexander & Flath, Christoph M. & Gottwalt, Sebastian, 2015. "Quantifying load flexibility of electric vehicles for renewable energy integration," Applied Energy, Elsevier, vol. 151(C), pages 335-344.
    5. Richardson, David B., 2013. "Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 247-254.
    6. Garðarsdóttir, Stefanía Ó. & Göransson, Lisa & Normann, Fredrik & Johnsson, Filip, 2018. "Improving the flexibility of coal-fired power generators: Impact on the composition of a cost-optimal electricity system," Applied Energy, Elsevier, vol. 209(C), pages 277-289.
    7. Lund, Henrik & Kempton, Willett, 2008. "Integration of renewable energy into the transport and electricity sectors through V2G," Energy Policy, Elsevier, vol. 36(9), pages 3578-3587, September.
    8. Johansson, V. & Thorson, L. & Goop, J. & Göransson, L. & Odenberger, M. & Reichenberg, L. & Taljegard, M. & Johnsson, F., 2017. "Value of wind power – Implications from specific power," Energy, Elsevier, vol. 126(C), pages 352-360.
    9. Taljegard, M. & Göransson, L. & Odenberger, M. & Johnsson, F., 2019. "Impacts of electric vehicles on the electricity generation portfolio – A Scandinavian-German case study," Applied Energy, Elsevier, vol. 235(C), pages 1637-1650.
    10. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    11. Schill, Wolf-Peter & Gerbaulet, Clemens, 2015. "Power System Impacts of Electric Vehicles in Germany: Charging with Coal or Renewables," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 156, pages 185-196.
    12. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    13. Björn Nykvist & Måns Nilsson, 2015. "Rapidly falling costs of battery packs for electric vehicles," Nature Climate Change, Nature, vol. 5(4), pages 329-332, April.
    14. Juul, Nina & Meibom, Peter, 2011. "Optimal configuration of an integrated power and transport system," Energy, Elsevier, vol. 36(5), pages 3523-3530.
    15. Hedegaard, Karsten & Ravn, Hans & Juul, Nina & Meibom, Peter, 2012. "Effects of electric vehicles on power systems in Northern Europe," Energy, Elsevier, vol. 48(1), pages 356-368.
    16. Olauson, Jon & Bergkvist, Mikael, 2015. "Modelling the Swedish wind power production using MERRA reanalysis data," Renewable Energy, Elsevier, vol. 76(C), pages 717-725.
    17. Verzijlbergh, Remco & Brancucci Martínez-Anido, Carlo & Lukszo, Zofia & de Vries, Laurens, 2014. "Does controlled electric vehicle charging substitute cross-border transmission capacity?," Applied Energy, Elsevier, vol. 120(C), pages 169-180.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kermani, Mostafa & Chen, Peiyuan & Göransson, Lisa & Bongiorno, Massimo, 2022. "A comprehensive optimal energy control in interconnected microgrids through multiport converter under N−1 criterion and demand response program," Renewable Energy, Elsevier, vol. 199(C), pages 957-976.
    2. Öberg, Simon & Odenberger, Mikael & Johnsson, Filip, 2022. "The cost dynamics of hydrogen supply in future energy systems – A techno-economic study," Applied Energy, Elsevier, vol. 328(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Taljegard, M. & Göransson, L. & Odenberger, M. & Johnsson, F., 2019. "Impacts of electric vehicles on the electricity generation portfolio – A Scandinavian-German case study," Applied Energy, Elsevier, vol. 235(C), pages 1637-1650.
    2. Li, Ying & Davis, Chris & Lukszo, Zofia & Weijnen, Margot, 2016. "Electric vehicle charging in China’s power system: Energy, economic and environmental trade-offs and policy implications," Applied Energy, Elsevier, vol. 173(C), pages 535-554.
    3. Maria Taljegard & Lisa Göransson & Mikael Odenberger & Filip Johnsson, 2019. "Electric Vehicles as Flexibility Management Strategy for the Electricity System—A Comparison between Different Regions of Europe," Energies, MDPI, vol. 12(13), pages 1-19, July.
    4. Atia, Raji & Yamada, Noboru, 2015. "More accurate sizing of renewable energy sources under high levels of electric vehicle integration," Renewable Energy, Elsevier, vol. 81(C), pages 918-925.
    5. Lisa Göransson & Caroline Granfeldt & Ann-Brith Strömberg, 2021. "Management of Wind Power Variations in Electricity System Investment Models," SN Operations Research Forum, Springer, vol. 2(2), pages 1-30, June.
    6. Verzijlbergh, Remco & Brancucci Martínez-Anido, Carlo & Lukszo, Zofia & de Vries, Laurens, 2014. "Does controlled electric vehicle charging substitute cross-border transmission capacity?," Applied Energy, Elsevier, vol. 120(C), pages 169-180.
    7. Johansson, Viktor & Lehtveer, Mariliis & Göransson, Lisa, 2019. "Biomass in the electricity system: A complement to variable renewables or a source of negative emissions?," Energy, Elsevier, vol. 168(C), pages 532-541.
    8. Lisa Göransson & Mariliis Lehtveer & Emil Nyholm & Maria Taljegard & Viktor Walter, 2019. "The Benefit of Collaboration in the North European Electricity System Transition—System and Sector Perspectives," Energies, MDPI, vol. 12(24), pages 1-23, December.
    9. Schwarz, Marius & Auzépy, Quentin & Knoeri, Christof, 2020. "Can electricity pricing leverage electric vehicles and battery storage to integrate high shares of solar photovoltaics?," Applied Energy, Elsevier, vol. 277(C).
    10. Ringkjøb, Hans-Kristian & Haugan, Peter M. & Solbrekke, Ida Marie, 2018. "A review of modelling tools for energy and electricity systems with large shares of variable renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 440-459.
    11. Zhang, Qi & Mclellan, Benjamin C. & Tezuka, Tetsuo & Ishihara, Keiichi N., 2013. "A methodology for economic and environmental analysis of electric vehicles with different operational conditions," Energy, Elsevier, vol. 61(C), pages 118-127.
    12. Bellekom, Sandra & Benders, René & Pelgröm, Steef & Moll, Henk, 2012. "Electric cars and wind energy: Two problems, one solution? A study to combine wind energy and electric cars in 2020 in The Netherlands," Energy, Elsevier, vol. 45(1), pages 859-866.
    13. Connolly, D. & Lund, H. & Mathiesen, B.V., 2016. "Smart Energy Europe: The technical and economic impact of one potential 100% renewable energy scenario for the European Union," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1634-1653.
    14. Keller, Victor & English, Jeffrey & Fernandez, Julian & Wade, Cameron & Fowler, McKenzie & Scholtysik, Sven & Palmer-Wilson, Kevin & Donald, James & Robertson, Bryson & Wild, Peter & Crawford, Curran , 2019. "Electrification of road transportation with utility controlled charging: A case study for British Columbia with a 93% renewable electricity target," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    15. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2016. "Low carbon technologies as providers of operational flexibility in future power systems," Applied Energy, Elsevier, vol. 168(C), pages 724-738.
    16. Yan, Jie & Zhang, Jing & Liu, Yongqian & Lv, Guoliang & Han, Shuang & Alfonzo, Ian Emmanuel Gonzalez, 2020. "EV charging load simulation and forecasting considering traffic jam and weather to support the integration of renewables and EVs," Renewable Energy, Elsevier, vol. 159(C), pages 623-641.
    17. Hanemann, Philipp & Behnert, Marika & Bruckner, Thomas, 2017. "Effects of electric vehicle charging strategies on the German power system," Applied Energy, Elsevier, vol. 203(C), pages 608-622.
    18. Schuller, Alexander & Flath, Christoph M. & Gottwalt, Sebastian, 2015. "Quantifying load flexibility of electric vehicles for renewable energy integration," Applied Energy, Elsevier, vol. 151(C), pages 335-344.
    19. Verma, Aman & Raj, Ratan & Kumar, Mayank & Ghandehariun, Samane & Kumar, Amit, 2015. "Assessment of renewable energy technologies for charging electric vehicles in Canada," Energy, Elsevier, vol. 86(C), pages 548-559.
    20. Lena Ahmadi & Ali Elkamel & Sabah A. Abdul-Wahab & Michael Pan & Eric Croiset & Peter L. Douglas & Evgueniy Entchev, 2015. "Multi-Period Optimization Model for Electricity Generation Planning Considering Plug-in Hybrid Electric Vehicle Penetration," Energies, MDPI, vol. 8(5), pages 1-25, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:3:p:539-:d:484551. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.