DOI: https://doi.org/10.15407/techned2016.05.055

THE OPTIMAL RECONFIGURATION OF DISTRIBUTION POWER SYSTEM

Author
В.Tsyganenko
National Commission for State Energy and Public Utilities Regulation,
Smolenska st. 19, Kyiv, Ukraine,
e-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

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.

Key words: intelligent distribution power system, reconfiguration, optimization, genetic algorithm.

Received:    29.01.2016
Accepted:    06.06.2016
Published:  13.09.2016

References

1. Bulatov B.G., Tarasenko V.V. Algorithms for the Optimal Reconfiguration of the Distribution Network. Elektroenergetika.  2013.  No 2.  P. 14–18. (Rus)
2. 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)
3. Katsadze T.L., Suleymanov V.N., Bazhenov V.A. The Genetic Algorithms Application For Decision Making Project Of Electric Power Systems Development. Energetyka: Ekonomika, Tekhnologii, Ekologiia.  2013. No 2.  P. 58–65. (Rus)
4. Momoh J. Smart grid: fundamentals of design and analysis.  New Jersey: John Wiley & Sons, Inc, 2012.  218 p. DOI:  https://doi.org/10.1002/9781118156117
5. 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.
6. Rutkovska D., Pilinsky M., Rutrovsky L. Neural Networks, Genetic Algorithms And Fuzzy Systems.  Moskva: Goriachaia Liniia.  Telekom, 2006.  452 p. (Rus)
7. Shcherba A.A., Kyryk V.V. Systems with fuzzy logic regulation mode of electricity.  Kyiv: Lazuryt-Polihraf, 2011.  329 p. (Ukr)

PDF