SWARM INTELLIGENCE APPROACH FOR SIMULATION MODELING OF DISTRIBUTED POWER SYSTEMS

Authors

  • Y. I. Rudiakov National Technical University of Ukraine "Kyiv Polytechnic Institute" named after Igor Sikorsky
  • V. М. Tomashevsky National Technical University of Ukraine "Kyiv Polytechnic Institute" named after Igor Sikorsky

DOI:

https://doi.org/10.18372/1990-5548.51.11707

Keywords:

Simulation modeling, swarm intelligence, fuzzy logic, power systems UDC.

Abstract

The approach for multiagent systems’ simulation models’ adaptation is proposed. It uses the  methods of swarm intelligence and fuzzy logics to describe the collective behavior of decentralized system agents. The practical use of this approach is demonstrated by the simulation model of a distributed power system, as well as the use of swarm intelligence for some other systems.

Author Biographies

Y. I. Rudiakov, National Technical University of Ukraine "Kyiv Polytechnic Institute" named after Igor Sikorsky

Bachelor.
National Technical University of Ukraine "Kyiv Polytechnic Institute" named after Igor Sikorsky

V. М. Tomashevsky, National Technical University of Ukraine "Kyiv Polytechnic Institute" named after Igor Sikorsky

Doctor of Engineering Science. Professor.
Department of Automated Information Processing and Control Systems

References

V. M. Tomashevsky, System Modeling. Kyiv, Publishing group BHV, 2007, 352 p. (in Russian)

J. E. Beasley and G. Whitchurch, “O. R. education  a survey of young O. R. workers.” Journal of the Operational Research Society, no. 35, pp. 281–288, 1984.

S. Guillaume, “Designing Fuzzy Inference Systems from Data: An Interpretability-Oriented Review.” IEEE Transactions on Fuzzy Systems, vol. 9, no. 3, pp. 426–443, 2001.

M. Dorigo, V. Maniezzo, and A. Colorni, “The AntSystem: Optimization by a colony of cooperating agents.” IEEE Transactions Systems, Man, and Cybernetics-Part B, 26, 1, pp. 29–41, 1996.

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Issue

Vol. 1 No. 51 (2017)

Section

MATHEMATICAL MODELING OF PROCESSES AND SYSTEMS

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