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Algorithm for the Optimization of MultiAgent Isolated Energy Systems

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Abstract

Integration of a distributed energy generation with several sources is the most promising model for isolated power systems. The integration, where generation occurs due to renewable energy sources (RES), adds new dynamic elements to the distribution networks because of the stochastic indicators of the renewable energy sources. In order to ensure the normal functioning of the power system, it is proposed to develop an algorithm for its functioning.

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REFERENCES

  1. Zbignev, A.S. and Voropai N.I., Vozobnovlyaemye istochniki energii (teoreticheskie osnovy, tekhnologii, tekhnicheskie kharakteristiki, ekonomika) (Renewable Energy Sources (Theoretical Foundations, Technologies, Technical Characteristics, Economics), Magdeburg: Otto-von-Guericke Univ., 2010.

  2. Shoham, Y. and Leyton-Brown, K., Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge: Cambridge Univ. Press, 2008.

    Book  MATH  Google Scholar 

  3. Lagorse, J., Paire, D., and Miraoui, A., A multi-agent system for energy management of distributed power sources, Renewable Energy, 2010, vol. 35, pp. 174–182.

    Article  Google Scholar 

  4. Mocci, S., Natale, N., Pilo, F., et al., Demand side integration in LV smart grids with multi-agent control system, Electr. Power Syst. Res., 2015, vol. 125, pp. 23–33.

    Article  Google Scholar 

  5. Rahman, M., Mahmud, M., Pota, H., et al., Distributed multi-agent scheme for reactive power management with renewable energy, Energy Convers. Manage., 2014, vol. 88, pp. 573–581.

    Article  Google Scholar 

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Authors and Affiliations

  1. Irkutsk National Research Technical University, 664074, Irkutsk, Russia

    A. V. Chemezov, A. G. Strakhov & N. M. Bakshaeva

Authors
  1. A. V. Chemezov
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  2. A. G. Strakhov
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  3. N. M. Bakshaeva
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Corresponding author

Correspondence to A. V. Chemezov.

Additional information

Translated by N. Semenova

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Chemezov, A.V., Strakhov, A.G. & Bakshaeva, N.M. Algorithm for the Optimization of MultiAgent Isolated Energy Systems. Appl. Sol. Energy 55, 66–70 (2019). https://doi.org/10.3103/S0003701X19010067

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  • DOI: https://doi.org/10.3103/S0003701X19010067

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