IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v164y2018icp65-78.html
   My bibliography  Save this article

Strategies for solar and wind integration by leveraging flexibility from electric vehicles: The Barbados case study

Author

Listed:
  • Taibi, Emanuele
  • Fernández del Valle, Carlos
  • Howells, Mark

Abstract

Rapid deployment of large shares of Variable Renewable Energy (VRE) is driving a shift in economics and operational practices in power systems around the world, creating the need for a more flexible and decentralized power system. In this context, electric vehicles (EVs) are expected to play a significant role, as they can make use of large shares of renewables in the power system to decarbonise the transportation sector. It is important to carefully plan for EV integration to make sure that they facilitate the integration of VRE and capture the potential benefits for the power system. This paper assesses the different impacts on production costs that electric vehicles could have depending on different charging profiles and considering the value added from allowing the EVs to provide energy and ancillary services to the grid. This paper shows how smart charging strategies can 1) limit the total increase in production cost from charging EVs, 2) facilitate VRE integration into the system reducing curtailment 3) affect marginal cost of electricity and 4) reduce the investment needed for grid connected storage, using an innovative approach to calculate the contribution of EVs to system reliability based on the different charging scenario. Finally, the effects of adding a constraint to represent battery degradation due to operation are analysed. This analysis is carried out using as a case study the Caribbean island of Barbados, given the expected large shares of VRE in the future, however it suggests a general framework to assess the impact of EVs in power systems with high shares of VRE.

Suggested Citation

  • Taibi, Emanuele & Fernández del Valle, Carlos & Howells, Mark, 2018. "Strategies for solar and wind integration by leveraging flexibility from electric vehicles: The Barbados case study," Energy, Elsevier, vol. 164(C), pages 65-78.
    • Handle: RePEc:eee:energy:v:164:y:2018:i:c:p:65-78
    DOI: 10.1016/j.energy.2018.08.196
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544218317328
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2018.08.196?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Kahn, Edward P., 2004. "Effective Load Carrying Capability of Wind Generation: Initial Results with Public Data," The Electricity Journal, Elsevier, vol. 17(10), pages 85-95, December.
    3. Ignacio J. Perez-Arriaga & Carlos Batlle, 2012. "Impacts of Intermittent Renewables on Electricity Generation System Operation," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 2).
    4. Uddin, Kotub & Jackson, Tim & Widanage, Widanalage D. & Chouchelamane, Gael & Jennings, Paul A. & Marco, James, 2017. "On the possibility of extending the lifetime of lithium-ion batteries through optimal V2G facilitated by an integrated vehicle and smart-grid system," Energy, Elsevier, vol. 133(C), pages 710-722.
    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. Sk Abdul Aleem & S. M. Suhail Hussain & Taha Selim Ustun, 2020. "A Review of Strategies to Increase PV Penetration Level in Smart Grids," Energies, MDPI, vol. 13(3), pages 1-28, February.
    2. Julian David Hunt & Behnam Zakeri & Jakub Jurasz & Wenxuan Tong & Paweł B. Dąbek & Roberto Brandão & Epari Ritesh Patro & Bojan Đurin & Walter Leal Filho & Yoshihide Wada & Bas van Ruijven & Keywan Ri, 2023. "Underground Gravity Energy Storage: A Solution for Long-Term Energy Storage," Energies, MDPI, vol. 16(2), pages 1-20, January.
    3. Hunt, Julian David & Zakeri, Behnam & Falchetta, Giacomo & Nascimento, Andreas & Wada, Yoshihide & Riahi, Keywan, 2020. "Mountain Gravity Energy Storage: A new solution for closing the gap between existing short- and long-term storage technologies," Energy, Elsevier, vol. 190(C).
    4. Groppi, Daniele & Pfeifer, Antun & Garcia, Davide Astiaso & Krajačić, Goran & Duić, Neven, 2021. "A review on energy storage and demand side management solutions in smart energy islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    5. Dezhou Kong & Jianru Jing & Tingyue Gu & Xuanyue Wei & Xingning Sa & Yimin Yang & Zhiang Zhang, 2023. "Theoretical Analysis of Integrated Community Energy Systems (ICES) Considering Integrated Demand Response (IDR): A Review of the System Modelling and Optimization," Energies, MDPI, vol. 16(10), pages 1-22, May.
    6. Željko Tomšić & Sara Raos & Ivan Rajšl & Perica Ilak, 2020. "Role of Electric Vehicles in Transition to Low Carbon Power System—Case Study Croatia," Energies, MDPI, vol. 13(24), pages 1-22, December.
    7. Wang, Huilong & Wang, Shengwei & Shan, Kui, 2020. "Experimental study on the dynamics, quality and impacts of using variable-speed pumps in buildings for frequency regulation of smart power grids," Energy, Elsevier, vol. 199(C).
    8. Peng Jiang & Jun Dong & Hui Huang, 2019. "Forecasting China’s Renewable Energy Terminal Power Consumption Based on Empirical Mode Decomposition and an Improved Extreme Learning Machine Optimized by a Bacterial Foraging Algorithm," Energies, MDPI, vol. 12(7), pages 1-24, April.
    9. Prina, Matteo Giacomo & Groppi, Daniele & Nastasi, Benedetto & Garcia, Davide Astiaso, 2021. "Bottom-up energy system models applied to sustainable islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    10. Julian David Hunt & Behnam Zakeri & Andreas Nascimento & Diego Augusto de Jesus Pacheco & Epari Ritesh Patro & Bojan Đurin & Márcio Giannini Pereira & Walter Leal Filho & Yoshihide Wada, 2023. "Isothermal Deep Ocean Compressed Air Energy Storage: An Affordable Solution for Seasonal Energy Storage," Energies, MDPI, vol. 16(7), pages 1-18, March.
    11. Anna Flessa & Dimitris Fragkiadakis & Eleftheria Zisarou & Panagiotis Fragkos, 2023. "Developing an Integrated Energy–Economy Model Framework for Islands," Energies, MDPI, vol. 16(3), pages 1-32, January.
    12. Villamor, Lila Vázquez & Avagyan, Vitali & Chalmers, Hannah, 2020. "Opportunities for reducing curtailment of wind energy in the future electricity systems: Insights from modelling analysis of Great Britain," Energy, Elsevier, vol. 195(C).
    13. Hu, Junfeng & Yan, Qingyou & Kahrl, Fredrich & Liu, Xu & Wang, Peng & Lin, Jiang, 2021. "Evaluating the ancillary services market for large-scale renewable energy integration in China's northeastern power grid," Utilities Policy, Elsevier, vol. 69(C).
    14. Walter Leal Filho & Abdul-Lateef Balogun & Dinesh Surroop & Amanda Lange Salvia & Kapil Narula & Chunlan Li & Julian David Hunt & Andrea Gatto & Ayyoob Sharifi & Haibo Feng & Stella Tsani & Hossein Az, 2022. "Realising the Potential of Renewable Energy as a Tool for Energy Security in Small Island Developing States," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    15. Hunt, Julian David & Nascimento, Andreas & Zakeri, Behnam & Jurasz, Jakub & Dąbek, Paweł B. & Barbosa, Paulo Sergio Franco & Brandão, Roberto & de Castro, Nivalde José & Leal Filho, Walter & Riahi, Ke, 2022. "Lift Energy Storage Technology: A solution for decentralized urban energy storage," Energy, Elsevier, vol. 254(PA).

    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. Bhandari, Vivek & Sun, Kaiyang & Homans, Frances, 2018. "The profitability of vehicle to grid for system participants - A case study from the Electricity Reliability Council of Texas," Energy, Elsevier, vol. 153(C), pages 278-286.
    2. Stef Proost & Mads Greaker & Cathrine Hagem, 2019. "Vehicle-to-Grid. Impacts on the electricity market and consumer cost of electric vehicles," Discussion Papers 903, Statistics Norway, Research Department.
    3. Barone, G. & Buonomano, A. & Forzano, C. & Palombo, A. & Russo, G., 2023. "The role of energy communities in electricity grid balancing: A flexible tool for smart grid power distribution optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    4. Pearre, Nathaniel S. & Ribberink, Hajo, 2019. "Review of research on V2X technologies, strategies, and operations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 61-70.
    5. Nnaemeka Vincent Emodi & Scott Dwyer & Kriti Nagrath & John Alabi, 2022. "Electromobility in Australia: Tariff Design Structure and Consumer Preferences for Mobile Distributed Energy Storage," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    6. Mubbashir Ali & Jussi Ekström & Matti Lehtonen, 2018. "Sizing Hydrogen Energy Storage in Consideration of Demand Response in Highly Renewable Generation Power Systems," Energies, MDPI, vol. 11(5), pages 1-11, May.
    7. 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.
    8. 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.
    9. Alqahtani, Mohammed & Hu, Mengqi, 2022. "Dynamic energy scheduling and routing of multiple electric vehicles using deep reinforcement learning," Energy, Elsevier, vol. 244(PA).
    10. Abolhosseini, Shahrouz & Heshmati, Almas & Altmann, Jörn, 2014. "A Review of Renewable Energy Supply and Energy Efficiency Technologies," IZA Discussion Papers 8145, Institute of Labor Economics (IZA).
    11. Emblemsvåg, Jan, 2022. "Wind energy is not sustainable when balanced by fossil energy," Applied Energy, Elsevier, vol. 305(C).
    12. Ghorbanzadeh, Milad & Astaneh, Majid & Golzar, Farzin, 2019. "Long-term degradation based analysis for lithium-ion batteries in off-grid wind-battery renewable energy systems," Energy, Elsevier, vol. 166(C), pages 1194-1206.
    13. Liu, Wen & Hu, Weihao & Lund, Henrik & Chen, Zhe, 2013. "Electric vehicles and large-scale integration of wind power – The case of Inner Mongolia in China," Applied Energy, Elsevier, vol. 104(C), pages 445-456.
    14. Géremi Gilson Dranka & Paula Ferreira, 2020. "Electric Vehicles and Biofuels Synergies in the Brazilian Energy System," Energies, MDPI, vol. 13(17), pages 1-22, August.
    15. Wojciech Rabiega & Artur Gorzałczyński & Robert Jeszke & Paweł Mzyk & Krystian Szczepański, 2021. "How Long Will Combustion Vehicles Be Used? Polish Transport Sector on the Pathway to Climate Neutrality," Energies, MDPI, vol. 14(23), pages 1-19, November.
    16. Sara Bellocchi & Michele Manno & Michel Noussan & Michela Vellini, 2019. "Impact of Grid-Scale Electricity Storage and Electric Vehicles on Renewable Energy Penetration: A Case Study for Italy," Energies, MDPI, vol. 12(7), pages 1-32, April.
    17. Younghun Choi & Takuro Kobashi & Yoshiki Yamagata & Akito Murayama, 2021. "Assessment of waterfront office redevelopment plan on optimal building energy demand and rooftop photovoltaics for urban decarbonization," Papers 2108.09029, arXiv.org.
    18. Batalla-Bejerano, Joan & Costa-Campi, Maria Teresa & Trujillo-Baute, Elisa, 2016. "Collateral effects of liberalisation: Metering, losses, load profiles and cost settlement in Spain’s electricity system," Energy Policy, Elsevier, vol. 94(C), pages 421-431.
    19. Fridgen, Gilbert & Keller, Robert & Körner, Marc-Fabian & Schöpf, Michael, 2020. "A holistic view on sector coupling," Energy Policy, Elsevier, vol. 147(C).
    20. Martínez-Lao, Juan & Montoya, Francisco G. & Montoya, Maria G. & Manzano-Agugliaro, Francisco, 2017. "Electric vehicles in Spain: An overview of charging systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 970-983.

    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:eee:energy:v:164:y:2018:i:c:p:65-78. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.