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V.Z Manusov
Novosibirsk State Technical University
Computer Science & IT Electrical & Electronics Engineering

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Swarm algorithms in dynamic optimization problem of reactive power compensation units control V.Z Manusov; P.V. Matrenin; N. Khasanzoda
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 5: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (349.683 KB) | DOI: 10.11591/ijece.v9i5.pp3967-3974

Abstract

Optimization of a power supply system is one of the main directions in power engineering research. The reactive power compensation reduces active power losses in transmission lines. In general, researches devoted to allocation and control of the compensation units consider this issue as a static optimization problem. However, it is dynamic and stochastic optimization problem that requires a real-time solution. To solve the dynamic optimization NP-hard problem, it is advisable to use Swarm Intelligence. This research deals with the problem of the compensation units power control as a dynamic optimization problem, considering the possible stochastic failures of the compensation units. The Particle Swarm Optimization and the Bees Algorithm were applied to solve it to compare the effectiveness of these algorithms in the dynamic optimization of a power supply system.
Co-Authors N. Khasanzoda P.V. Matrenin