Skip to main content
SpringerLink
Log in

The Features of the Smart MicroGrid as the Object of Information Modeling

  • Conference paper
Information and Software Technologies (ICIST 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 465))

Included in the following conference series:

Abstract

This paper describes the features of Smart MicroGrid and explains the of prior building appropriate information model of this system. It was determined information power system evaluation techniques and existing methods that can be applied in information system with simulation tools classification. This paper compares different tools for modeling, which are based on using renewable energy sources. The system has to combine basic points: evaluation energy sources in region, their calculation, gives recommendation for building energy smart grid in micro grid level and modelling her work. Our goal is definition of existing approaches, which can be used in future system.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Active distributed power systems functional structures for real-time operation of sustainable energy systems, http://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=25752&fileOId=26626

  2. AnyLogic Overview, http://www.anylogic.ru/overview

  3. Azadeh, A., Skandari, M.R., Maleki-Shoja, B.: An integrated ant colony optimization approach to compare strategies of clearing market in electricity markets: agent-based simulation. Energy Policy 38, 6307–6319 (2010)

    Article  Google Scholar 

  4. Cormas, Cormas: Natural resources and agent-based simulations (2004), http://cormas.cirad.fr/indexeng.htm

  5. Dagdougui, H., Minciardi, R., Ouammi, A., Robba, M., Sacile, R.: A dynamic optimization model for smart micro-grid: integration of a mix of renewable resources for a green building. In: The International Congress on Environmental Modelling and Software, pp. 234–242 (2010)

    Google Scholar 

  6. Enerbäck, J., Nalin Nilsson, O.: Modelling and simulation of Smart Grids using Dymola/Modelica, https://www.iea.lth.se/publications/MS-Theses/Full%20document/5313_full_document.pdf

  7. Fang, L.-B., Cai, J.-D.: Reliability assessment of microgrid using sequential monte carlo simulation. Journal of Electronic Science and Technology 9, 31–34 (2011)

    Google Scholar 

  8. Guo, F., Herrera, L., Murawski, R., Inoa, E., Wang, C.-L., Beauchamp, P., Ekici, E., Wang, J.: Comprehensive Real-Time Simulation of the Smart Grid. IEEE Transactions on Industry Applications 49, 899–908 (2013)

    Article  Google Scholar 

  9. IEEE Guide for Smart Grid Interoperability of Energy Technology and Information Technology Operation with the Electric Power System (EPS), End-Use Applications, and Loads. IEEE Standard 2030-2011 (2011)

    Google Scholar 

  10. Java agent development framework (JADE), http://jade.tilab.com/

  11. Lazarou, S., Oikonomou, D.S., Ekonomou, L.: A platform for planning and evaluating distributed generation connected to the hellenic electric distribution grid. In: The 11th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing, pp. 80–86 (2012)

    Google Scholar 

  12. Lejeune, P., Feltz, C.: Development of a decision support system for setting up a wind energy policy across the Walloon Region (southern Belgium). Renewable Energy 33, 2416–2422 (2008)

    Article  Google Scholar 

  13. Louit, D., Pascual, R., Banjevic, D.: Optimal interval for major maintenance actions in electricity distribution networks. The International Journal of Electrical Power & Energy Systems 31, 396–401 (2009)

    Article  Google Scholar 

  14. Massel, L.V., Bakhvalov, K.S.: Open integrated environment InterPSS as a basis of Smart Grid IT-Infrastructure, Vestnik ISTU, 7, 10-15 (2012)

    Google Scholar 

  15. Matlab, http://www.mathworks.co.uk/

  16. Menniti, D., Pinnarelli, A., Sorrentino, N.: A method to improve microgrid reliability by optimal sizing PV/wind plants and storage systems. In: The 20th International Conference on Electricity Distribution, pp. 1–4 (2009)

    Google Scholar 

  17. Monti, A., Ponci, F., Smith, A., Liu, R.: A design approach for digital controllers using reconfigurable network-based measurement. In: The International Instrumentation and Measurement Technology Conference, pp. 1073–1081 (2009)

    Google Scholar 

  18. Moslehi, K., Kumar, R.: Smart grid - a reliability perspective. IEEE Transactions on Smart Grid 1, 57–64 (2010)

    Article  Google Scholar 

  19. M.M., Allerding, F., Schmeck, H.: Integration of electric vehicles in smart homes - an ICT-based solution for V2G scenarios. In: The 2012 IEEE PES Innovative Smart Grid Technologies, pp. 1–8 (2012)

    Google Scholar 

  20. Muslih, I.M., Abdellatif, Y.: Hybrid micro-power energy station; design and optimization by using HOMER modeling software. In: The 2011 International Conference on Modeling, Simulation and Visualization Methods, pp. 183–193 (2011)

    Google Scholar 

  21. NEPLAN desktop overview, http://www.neplan.ch

  22. Network Simulation (OPNET Modeler Suite), http://www.riverbed.com/products-solutions/products/network-planning-simulation/Network-Simulation.html

  23. PSS Product Suite, http://www.energy.siemens.com/fi/en/services/power-transmission-distribution/power-technologies-international/software-solutions/

  24. Ramachandra, T.V.: RIEP: Regional integrated energy plan. Renewable and Sustainable Energy Reviews 13, 285–317 (2009)

    Article  Google Scholar 

  25. Repast 3 Overview, http://repast.sourceforge.net/

  26. Roncero, J.R.: Integration is key to smart grid management. In: The IET-CIRED Seminar Smartgrids for Distribution, pp. 1–4 (2008)

    Google Scholar 

  27. SmartGrids Strategic Deployment Document finalized, http://www.smartgrids.eu

  28. Smart Power Grids — Talking about a Revolution, http://www.ieee.org/about/technologies/emerging/emerging_tech_smart_grids.pdf

  29. Siahkali, H., Vakilian, M.: Electricity generation scheduling with large-scale wind farms using particle swarm optimization. The Electric Power Systems Research 79, 826–836 (2009)

    Article  Google Scholar 

  30. Simulink, http://www.mathworks.com/products/simulink/

  31. Tiba, C., Candeias, A.L.B., Fraidenraich, N., de Barbosa, E.M., de Carvalho Neto, P.B., de Melo Filho, J.B.: A GIS-based decision support tool for renewable energy management and planning in semi-arid rural environments of northeast of Brazil. Renewable Energy 35, 2921–2932 (2010)

    Article  Google Scholar 

  32. The NS-3 Consortium, http://www.nsnam.org/

  33. Tisue, S., Wilensky, U.: NetLogo: A simple environment for modeling complexity. In: The International Conference on Complex Systems, pp. 1–10 (2004)

    Google Scholar 

  34. Varga, A., Hornig, R.: An overview of the OMNET++ simulation environment. In: The Simutools, pp. 60–70 (2008)

    Google Scholar 

  35. Yusta, J.M., Torres, F., Khodr, H.M.: Optimal methodology for a machining process scheduling in spot electricity markets. The Energy Conversion and Management 51, 2647–2654 (2010)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Sumy State University, Sumy, Ukraine

    Olha Shulyma, Vira Shendryk, Iryna Baranova & Anna Marchenko

Authors
  1. Olha Shulyma
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Vira Shendryk
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Iryna Baranova
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Anna Marchenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Studentu g. 50-409a,, LT-51368, Kaunas, Lithuania

    Giedre Dregvaite

  2. Kaunas University of Technology, Studentu g. 50-409a, LT-51368, Kaunas, Lithuania

    Robertas Damasevicius

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Shulyma, O., Shendryk, V., Baranova, I., Marchenko, A. (2014). The Features of the Smart MicroGrid as the Object of Information Modeling. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2014. Communications in Computer and Information Science, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-11958-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11958-8_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11957-1

  • Online ISBN: 978-3-319-11958-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation