Skip to main content
SpringerLink
Log in

µGIM – Microgrids Intelligent Management System Based on a Multi-agent Approach and the Active Participation on Demand Response

  • Conference paper
  • First Online:
Book cover Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017 (PAAMS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 619))

  • 1306 Accesses

Abstract

The present paper presents an overview of Luis Gomes PhD proposal, focusing on the problem that will be solved and how it will be solved. In the PhD, µGIM system will be developed for microgrid management and microgrid players’ energy management. The proposal also consists in study and analysis of microgrids demand response programs.

This work is supported by FEDER Funds through COMPETE program and by National Funds through FCT under the project UID/EEA/00760/2013 and SFRH/BD/109248/2015.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Dimeas, A.L., Hatziargyriou, N.D.: Operation of a multiagent system for microgrid control. IEEE Trans. Power Syst. 20(3), 1447–1455 (2005)

    Article  Google Scholar 

  2. Foo Eddy, Y.S., Gooi, H.B., Chen, S.X.: Multi-agent system for distributed management of microgrids. IEEE Trans. Power Syst. 30(1), 24–34 (2015)

    Article  Google Scholar 

  3. Nguyen, D.T., Le, L.B.: Risk-constrained profit maximization for microgrid aggregators with demand response. IEEE Trans. Smart Grid 6, 135–146 (2015)

    Article  Google Scholar 

  4. Faria, P., Vale, Z.: Optimization of generation and aggregated consumption shifting for demand response programs definition. In: Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES, pp. 1–6 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development, Institute of Engineering – Polytechnic of Porto (ISEP/IPP), Rua Dr. António Bernardino de Almeida, 431, 4200-072, Porto, Portugal

    Luis Gomes & Zita Vale

Authors
  1. Luis Gomes
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zita Vale
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Luis Gomes .

Editor information

Editors and Affiliations

  1. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Fernando De la Prieta

  2. GECAD Instituto Superior de Engenharia do Porto, Porto, Portugal

    Zita Vale

  3. Department of Informática, Universidade de Lisboa Faculdade de Ciências, Lisboa, Portugal

    Luis Antunes

  4. Facultad de Ciencias, Departamento de Informática y Automática, Salamanca, Spain

    Tiago Pinto

  5. School of Computer Science, Dartmouth College, Hanover, New Hampshire, USA

    Andrew T. Campbell

  6. Departamento de Sistemas Informáticos y Computación, Universidad Politecnica de Valencia, Valencia, Spain

    Vicente Julián

  7. University of Aveiro, Institute of Electronics and Telematics Engineering, Aveiro, Portugal

    Antonio J.R. Neves

  8. Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Salamanca, Salamanca, Spain

    María N. Moreno

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Gomes, L., Vale, Z. (2018). µGIM – Microgrids Intelligent Management System Based on a Multi-agent Approach and the Active Participation on Demand Response. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-61578-3_37

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61577-6

  • Online ISBN: 978-3-319-61578-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation