Skip to main content

Computational Platform for Household Simulation and Emulation to Test and Validate Energy Management Methodologies

  • Conference paper
  • First Online:
Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection (PAAMS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10349))

  • 1323 Accesses

Abstract

The integration of microgrids brings advantages for the end-prosumers as well for the grid energy management. Small and medium players became able to actively participate in microgrids. However, is needed a study and the appearance of methodologies that can efficiently integrate these players. The use of load optimization inside households is common in scientific researches. This paper proposes a Java library that can simulate a household using a combination between real and simulated loads. The library also enables the execution of optimization algorithms, to be tested and validated. The paper will present a small demonstration of the library capabilities.

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

Access this chapter

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. Fu, Q., Montoya, L.F., Solanki, A., Nasiri, A., Bhavaraju, V., Abdallah, T., Yu, D.C.: Microgrid generation capacity design with renewables and energy storage addressing power quality and surety. IEEE Trans. Smart Grid 3(4), 2019–2027 (2012)

    Article  Google Scholar 

  2. Gomes, L., Faria, P., Morais, H., Vale, Z., Ramos, C.: Distributed, agent-based intelligent system for demand response program simulation in smart grids. IEEE Intell. Syst. 29, 56–65 (2014)

    Google Scholar 

  3. Siano, P.: Demand response and smart grids - A survey. Renew. Sustain. Energy Rev. 30, 461–478 (2014)

    Article  Google Scholar 

  4. Tsui, K.M., Chan, S.C.: Demand response optimization for smart home scheduling under real-time pricing. IEEE Trans. Smart Grid 3, 1812–1821 (2012)

    Article  Google Scholar 

  5. Fernandes, F., Carreiro, A., Morais, H., Vale, Z., Gastaldello, D.S., Amaral, H.L.M., Souza, A.N.: Management of heating, ventilation and air conditioning system for SHIM platform. In: IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM), Montevideo, pp. 275–280 (2015)

    Google Scholar 

  6. Gomes, L., Faria, P., Fernandes, F., Vale, Z., Ramos, C.: Domestic consumption simulation and management using a continuous consumption management and optimization algorithm. In: IEEE PES T&D Conference and Exposition, Chicago, IL, USA, pp. 1–5 (2014)

    Google Scholar 

  7. Gomes, L., Amaral, H.L.M., Fernandes, F., Faria, P., Vale, Z., Ramos, C.: Dynamic approach and testbed for small and medium players simulation in smart grid environments. IFAC Proc. Volumes 47(3), 31–36 (2014)

    Article  Google Scholar 

  8. Morais, H., Vale, Z., Pinto, T., Gomes, L., Fernandes, F., Oliveira, P., Ramos, C.: Multi-agent based smart grid management and simulation: Situation awareness and learning in a test bed with simulated and real installations and players. In: 2013 IEEE Power and Energy Society General Meeting, Vancouver, BC, pp. 1–5 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luis Gomes .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Gomes, L., Vale, Z. (2017). Computational Platform for Household Simulation and Emulation to Test and Validate Energy Management Methodologies. In: Demazeau, Y., Davidsson, P., Bajo, J., Vale, Z. (eds) Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection. PAAMS 2017. Lecture Notes in Computer Science(), vol 10349. Springer, Cham. https://doi.org/10.1007/978-3-319-59930-4_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-59930-4_29

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59929-8

  • Online ISBN: 978-3-319-59930-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics