Skip to main content
SpringerLink
Log in

Decision Process to Manage Renewable Energy Production in Smart Grid Environment

  • Conference paper
  • First Online:
Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems (PAAMS 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 722))

  • 1124 Accesses

Abstract

This research work is related to the Electric Vehicle (EV) integration in the electricity market, using the OpenADR open protocol for demand response. The proposed solution integrates a local developed EV charging system and a cloud management system, to coordinate the available energy produced from renewable energy sources, taking into account its intermittent production and the requirements of the EV charging process at home. Considering the smart mobility paradigm, all transactions processes are available at mobile devices in real-time, where users can define their usual behavior, configure the energy consumption profile at home, establish new profiles for specific days according to the EV charging process, and consult the historical transactions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Beaudin, M., Zareipour, H., Schellenberglabe, A., Rosehart, W.: Energy storage for mitigating the variability of renewable electricity sources: an updated review. J. Energy Sustain. Dev. 14(4), 302–314 (2010). Elsevier

    Article  Google Scholar 

  2. Yilmaz, M., Krein, P.T.: Review of the impact of vehicle-to-grid technologies on distribution systems and utility interfaces. IEEE Trans. Power Electron. 28(12), 5673–5689 (2013)

    Article  Google Scholar 

  3. Monteiro, V., Ferreira, João C., Afonso, João L.: Operation modes of battery chargers for electric vehicles in the future smart grids. In: Camarinha-Matos, Luis M., Barrento, Nuno S., Mendonça, R. (eds.) DoCEIS 2014. IAICT, vol. 423, pp. 401–408. Springer, Heidelberg (2014). doi:10.1007/978-3-642-54734-8_44

    Chapter  Google Scholar 

  4. Kempton, W., Tomic, J.: Vehicle-to-grid power implementation: from stabilizing the grid to supporting large-scale renewable energy. J. Power Sources 144, 280–294 (2015). Elsevier

    Article  Google Scholar 

  5. Saber, A.Y., Venayagamoorthy, G.K.: Plug-in vehicles and renewable energy sources for cost and emission reductions. IEEE Trans. Ind. Electron. 58(4), 1229–1238 (2011)

    Article  Google Scholar 

  6. Lopes, J.A.P, Soares, F.J., Almeida, P.M., da Silva, M.M.: Smart charging strategies for electric vehicles: enhancing grid performance and maximizing the use of variable renewable energy resources. In: EVS24 International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium, pp. 1–11, May 2009

    Google Scholar 

  7. Zhang, M., Chen, J.: The energy management and optimized operation of electric vehicles based on microgrid. IEEE Trans. Power Del. 29(3), 1427–1435 (2014)

    Article  Google Scholar 

  8. Van Roy, J., Leemput, N., Geth, F., Büscher, J., Salenbien, R., Driesen, J.: Electric vehicle charging in an office building microgrid with distributed energy resources. IEEE Trans. Sustain. Energy 5(4), 1389–1396 (2014)

    Article  Google Scholar 

  9. Ferreira, J., Martins, H., Barata, M., Monteiro, V., Afonso, João L.: OpenADR—intelligent electrical energy consumption towards internet-of-things. In: Garrido, P., Soares, F., Moreira, A.P. (eds.) CONTROLO 2016. LNEE, vol. 402, pp. 725–736. Springer, Cham (2017). doi:10.1007/978-3-319-43671-5_61

    Chapter  Google Scholar 

  10. Ferreira, J.C., da Silva, A.R., Monteiro, V., Afonso, J.L.: Collaborative broker for distributed energy resources. In: Madureira, A., Reis, C., Marques, V. (eds.) Computational Intelligence and Decision Making, vol. 61, pp. 365–376. Springer, Dordrecht (2013)

    Chapter  Google Scholar 

  11. Ferreira, J.C., Monteiro, V., Afonso, J.A., Afonso, J.L.: Tracking users mobility patterns towards CO2 footprint. In: Omatu, S., et al. (eds.) 13th International Conference Distributed Computing and Artificial Intelligence. AISC, vol. 474, pp. 87–96. Springer, Cham (2013)

    Chapter  Google Scholar 

  12. Froehlich, A.: The Basics of QoS, 22 March 2017. http://www.networkcomputing.com/networking/basics-qos/402199215

Download references

Acknowledgements

This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.

Author information

Authors and Affiliations

  1. Information Sciences, Technologies and Architecture Research Center (ISTAR-IUL), Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal

    João C. Ferreira

  2. Centro ALGORITMI, University of Minho, 4800-058, Guimarães, Portugal

    João C. Ferreira, Vitor Monteiro, J. G. Pinto & João L. Afonso

  3. Business Research Unit (BRU-IUL), Instituto Universitário de Lisboa (ISCTE-IUL), Lisbon, Portugal

    Ana Lúcia Martins

Authors
  1. João C. Ferreira
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vitor Monteiro
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. J. G. Pinto
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Ana Lúcia Martins
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. João L. Afonso
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to João C. Ferreira .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. Polytechnic Institute of Porto, Porto, Portugal

    Zita Vale

  3. University of Southern Denmark, Odense, Denmark

    Kasper Hallenborg

  4. University of Porto, Porto, Portugal

    Ana Paula Rocha

  5. Lille University of Science and Technology, Lille, France

    Philippe Mathieu

  6. Poznan University of Technology, Poznan, Poland

    Pawel Pawlewski

  7. Polytechnic University of Valencia, Valencia, Spain

    Elena Del Val

  8. University of Minho, Braga, Portugal

    Paulo Novais

  9. National Laboratory of Energy and Geology, Lisbon, Portugal

    Fernando Lopes

  10. National University of Colombia, Manizales, Caldas, Colombia

    Nestor D. Duque Méndez

  11. Polytechnic University of Valencia, Valencia, Spain

    Vicente Julián

  12. Malmö University, Malmo, Sweden

    Johan Holmgren

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Ferreira, J.C., Monteiro, V., Pinto, J.G., Martins, A.L., Afonso, J.L. (2017). Decision Process to Manage Renewable Energy Production in Smart Grid Environment. In: Bajo, J., et al. Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems. PAAMS 2017. Communications in Computer and Information Science, vol 722. Springer, Cham. https://doi.org/10.1007/978-3-319-60285-1_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60285-1_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60284-4

  • Online ISBN: 978-3-319-60285-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation