Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/111564
Title: Determining Optimal Breakpoints in Urban Power Networks with Genetic Algorithm
Authors: Kokin, S. E.
Dmitriev, S. A.
Halyasmaa, A. I.
Issue Date: 2012
Publisher: European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ)
AEDERMACP (European Association for the Development of Renewable Energies and Power Quality)
Citation: Kokin S. E. Determining Optimal Breakpoints in Urban Power Networks with Genetic Algorithm / S. E. Kokin, S. A. Dmitriev, A. I. Halyasmaa // Renewable Energy and Power Quality Journal. — 2012. — Vol. 1. — Iss. 10. — P. 988-990. — 554.
Abstract: The article deals with the issues of optimizing the operating modes of 6-10 kV distribution networks constituted by the large-sized complicated meshed systems. In real time, such networks operate with breaking the circuit to eliminate equalizing currents. The goal of optimizing the networks’ operating modes is to minimize the active power loss. Determining the optimal breakpoints is a complicated discrete task, for which the method of genetic algorithm becomes the most suitable solution. © 2012, European Association for the Development of Renewable Energy, Environment and Power Quality (EA4EPQ). All rights reserved.
Keywords: GENETIC ALGORITHM
OPTIMIZATION
POWER SUPPLY SYSTEM
URI: http://elar.urfu.ru/handle/10995/111564
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 84880882842
PURE ID: 11096921
ISSN: 2172-038X
DOI: 10.24084/repqj10.554
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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