Keywords
reconfiguration
optimization
genetic algorithm інтелектуальні розподільні мережі
реконфігурація
оптимізація
генетичний алгоритм
How to Cite
Abstract
The problems associated with the operation of power distribution systems with voltage 6-35 kV are investigated. The urgency of the implementation of Smart Grid technology in the decentralized management of the distribution network modes. Formed objective function optimal configuration of the radial electric network. The mathematical model of optimal distribution network configuration function, adapted to the apparatus of the genetic algorithms theory are presented. References 7.
References
Bulatov B.G., Tarasenko V.V. Algorithms for the Optimal Reconfiguration of the Distribution Network // Elektroenerhetika. – 2013. – No 2. – Pp. 14–18. (Rus)
Voronovsky G.K., Makhotilo K.V., Petrashev S.N., Sergeev S.A. Genetic Algorithms, Artificial Neural Networks, and Virtual Reality Problems. – Kharkiv: Osnova, 1997. – 112 p. (Rus)
Katsadze T.L., Suleymanov V.N., Bazhenov V.A. The Genetic Algorithms Application For Decision Making Project Of Electric Power Systems Development // Enerhetyka: Ekonomika, Tekhnolohii, Ekolohiia. – 2013. – No 2. – Pp. 58–65. (Rus)
Momoh J. Smart grid: fundamentals of design and analysis. – New Jersey: John Wiley & Sons, Inc, 2012. – 218 p.
Raju, GK Viswanadha, and Bijwe P.R. An efficient algorithm for minimum loss reconfiguration of distribution system based on sensitivity and heuristics // Power Systems, IEEE Transactions on 23.3 (2008): 1280-1287.
Rutkovska D., Pilinsky M., Rutrovsky L. Neural Networks, Genetic Algorithms And Fuzzy Systems. – Moskva: Goriachaia Liniia. – Telekom, 2006. – 452 p. (Rus)
Shcherba A.A., Kyryk V.V. Systems with fuzzy logic regulation mode of electricity. – Kyiv: Lazuryt−Polihraf, 2011. – 329 p. (Ukr)
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