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Advances and New Trends in Environmental Informatics pp 143–152Cite as

Distributed Power Management of Renewable Energy Resources for Grid Stabilization

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Part of the book series: Progress in IS ((PROIS))

Abstract

To increase the share of distributed energy resources (DER), they need to provide grid supporting ancillary services. In order to fulfill large energy products, virtual power plants (VPP) aggregate many small DER. In this paper we present an agent-based approach to the optimization problem of scheduling the DER of a VPP. We compare our approach which uses a evolutionary algorithm to one that uses a mathematical solver. When comparing the two approaches we found that our approach approximates the optimal solution well. The central benefit of our approach is that it scales better wrt. the VPP size. The increased scalability opens the ancillary services market to VPPs that aggregate more and smaller DERs.

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Notes

  1. 1.

    http://www.ibm.com/software/commerce/optimization/cplex-optimizer/.

  2. 2.

    http://jade.tilab.com/.

  3. 3.

    https://docs.oracle.com/javase/8/docs/api/java/lang/Comparable.html.

References

  • Bitsch, R., Feldmann, W., & Aumayr, G. (2002). Virtuelle Kraftwerke—Einbindung dezentraler Energieerzeugungsanlagen, etz-Jg (vol. 123, pp. 2–9).

    Google Scholar 

  • FIPA, (2002). FIPA Contract Net Interaction Protocol Specification. Retrived November 23, 2014, from http://www.fipa.org/specs/fipa00029/.

  • FIPA, (2002). FIPA Iterated Contract Net Interaction Protocol Specification. Retrieved November 24, 2014, from http://www.fipa.org/specs/fipa00030/.

  • Hernandez, L., et al. (2013). A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants. IEEE Communications Magazine, 51(1), 106–113.

    Article  Google Scholar 

  • Konak, A., Coit, D. W., & Smith, A. E. (2006). Multi-objective optimization using genetic algorithms: A tutorial. Reliability Engineering & System Safety, 91(9), 992–1007.

    Article  Google Scholar 

  • Kramer, O. (2010). Evolutionary self-adaptation: A survey of operators and strategy parameters. Evolutionary Intelligence, 3(2), 51–65.

    Article  Google Scholar 

  • Kramer, O. (2009). Computational intelligence. Springer-Verlag.

    Google Scholar 

  • Lehnhoff, S., Klingenberg, T., Blank, M., Calabria, M., & Schumacher, W. (2013). Distributed coalitions for reliable and stable provision of frequency response reserve. IEEE, 11–18.

    Google Scholar 

  • Setiawan, E. A. (2007). Concept and controllability of virtual power plant. Kassel University Press GmbH.

    Google Scholar 

  • Sniedovich, M. (2010). Dynamic programming: foundations and principles. CRC Press.

    Google Scholar 

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Author information

Authors and Affiliations

  1. OFFIS - Institute for Information Technology, Oldenburg, Germany

    Bengt Lüers & Marita Blank

  2. Department of Information Technology, University of Oldenburg, Oldenburg, Germany

    Sebastian Lehnhoff

Authors
  1. Bengt Lüers
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  2. Marita Blank
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  3. Sebastian Lehnhoff
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Corresponding author

Correspondence to Marita Blank .

Editor information

Editors and Affiliations

  1. HTW Berlin, University of Applied Sciences, Berlin, Germany

    Volker Wohlgemuth

  2. HTW Berlin, University of Applied Sciences , Berlin, Germany

    Frank Fuchs-Kittowski

  3. HTW Berlin, University of Applied Sciences , Berlin, Germany

    Jochen Wittmann

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© 2017 Springer International Publishing Switzerland

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Lüers, B., Blank, M., Lehnhoff, S. (2017). Distributed Power Management of Renewable Energy Resources for Grid Stabilization. In: Wohlgemuth, V., Fuchs-Kittowski, F., Wittmann, J. (eds) Advances and New Trends in Environmental Informatics. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-44711-7_12

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