Журнал Сибирского федерального университета
Journal of Siberian Federal University
Техника и технологии
Engineering & Technologies
Редакционный совет
академик РАН Е.А. Ваганов
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Т.Н. Патрушева,
С.А. Подорожняк, Г.Н. Шелованова
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– 657 –
Редактор И.А. Вейсиг Корректор Е.Г. Иванова
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CONTENTS / СОДЕРЖАНИЕ
Ebrahim Ghandehari,
Shahrokh Shojaeian and Javad Pourabadeh
An Improved Multi-Objective Bpso-Based Method for Radial
Distribution Networks Reconfiguration
– 617 –
М.Ю. Чернецкий, А.А. Дектерев, А.П.Бурдуков
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л,г…%целлюл%ƒ…%г% “/!ь
– 625 –
Vladimir A. Kodnyanko
Numeric-Analytical Method for Determining the Communication
Equations of Laplace’s Transformants of the Universal Radial
Unit of Externally-Pressurized Gas Bearings
– 637 –
Sergey S. Dobrosmyslov,
Vladimir I. Kirko, Gennady E. Nagibin,
Oksana A. Resinkina and Zahar I. Popov
Characteristic Physical$Mechanical and High$Temperature
Electric Properties Semicinductor Ceramic Based SnO2
Addition MnO2
with
and CuO
– 650 –
2013 6 (6)
Стр.1
Editorial board for Engineering & Technologies:
Vladimir Kulagin Series Editor, Siberian Federal
University, Russia
Yury Alashkevich Siberian State Technological
University, Russia
Sereeter Batmönkh Institute of Heat Engineering
and Industrial Ecology Mongolian Academy of
Sciences, Mongolia
Yuri Biba Dresser-Rand Company, USA
Carsten Drebenstedt Technische University
Bergakademie Freiberg, Germany
Yury Galerkin Saint Petersburg State Polytechnic
University, Russia
Gennady Gritsko Institute of Petroleum Geology and
Geophysics Russian Academy of Sciences, Siberian
Branch, Russia
Georg Guggenberger Institute of Soil Science Leibniz
University Hannover, Germany
Lev Endzhievsky Siberian Federal University, Russia
Feng-Chen Li School of Energy Science and
Engineering Harbin Institute of Technology, China
Vladimir Makarov Siberian Federal University, Russia
Aleksandr Mineev Siberian Federal University, Russia
Vladimir Moskvichev Special Designing and
Technological Bureau “Nauka” Krasnoyarsk
Scientifi c Center of the Russian Academy of
Sciences, Siberian Branch, Russia
Bernard Nacke Institute of Electrotechnology Leibniz
University of Hannover, Germany
Oleksandr Nemchin CEO of the State Research
Institute of Innovative Technologies in Power
Energy and Energy Effi ciency of the Fuel and
Energy Ministry of Ukraine, Ukraine
Valeriy Nikulin Kamsk Institute of Humanitarian and
Engineering Technologies, Russia
Oleg Ostrovski University of New South Wales,
Australia
Harald Oye Norwegian University of Science and
Technology, Norway
Vasili Panteleev Siberian Federal University, Russia
Petr Polyakov Siberian Federal University, Russia
Victor Timofeev Siberian Federal University, Russia
Ibragim Khisameev Kazan State Technological
University, Russia
Anatoly Shvidenko International Institute for Applied
Systems Analysis, Austria
Galina Chiganova — Siberian Federal University,
Russia
Свидетельство о регистрации СМИ
ПИ № ФС77-28-722 от 29.06.2007 г.
Серия включена в «Перечень ведущих
рецензируемых научных журналов и изданий,
в которых должны быть опубликованы
основные научные результаты диссертации на
соискание ученой степени доктора и кандидата
наук» (редакция 2010 г.)
О.В. Юшкова (Белоногова),
В.И. Аникина, А.А. Ковалева
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– 665 –
О.И. Подкопаев,
Т.В. Кулаковская, А.Ф. Шиманский,
А.М. Погодаев, М.Н. Васильева
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О.Г. Дубровская,
В.В. Евстигнеев, В.А. Кулагин
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С.В. Козлачков, И.И. Овчинников
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Стр.2
Journal of Siberian Federal University. Engineering & Technologies 6 (2013 6) 617-624
~ ~ ~
УДК 621.316.1
An Improved Multi-Objective Bpso-Based Method
for Radial Distribution Networks Reconfi guration
Ebrahim Ghandehari,
Shahrokh Shojaeian* and Javad Pourabadeh
Islamic Azad University, Khomeinishahr branch
P.O. Box 84175-119, Isfahan, Iran
Received 15.01.2013, received in revised form 28.04.2013, accepted 09.09.2013
The present paper will introduce an improved BPSO algorithm for radial distribution networks
reconfi guration. In this regard PSO algorithm has extensively been used in many of the previous
literatures; however, here a new method will be introduced in order to update swarm position which is
not only simple and fast but also has high accuracy. The objective function has four weighted components
representing load balancing, total losses of network, voltage deviation and system reliability. The
test network is a standard distribution system with 3 feeder and 16 switches. Accuracy and speed of
proposed method are compared with three other well-known algorithms to ensure its effi ciency.
Keywords: BPSO algorithm, Reconfi guration, Restructuring, Distribution network.
Introduction
Transmission of electrical energy is the most important task of distribution systems and due to
the yearly growing of consumers’ loads; these networks will become larger and more complex. Most
of distribution networks all over the world are radial and every consumer is fed just from one side.
Since these distribution networks are complex and also many plants have been made, it can cause
different states for the consumers’ feeding. But there are a lot of switches in distribution networks
which can change the structure of the network. These switches can be divided into two categories
including sectionalizing (normally close) switches and tie (normally open) switches. Change in the
structure of network by altering status of its switches which called reconfi guration or restructuring,
not only determine the type of consumers feeding but also has more applications. Some of these
applications include load balancing, minimizing total losses of system and improving voltage deviation
and reliability of network. Utterly reconfi guration is useful when some faults occur in the network.
This activity minimizes de-energized loads after faults. So the existing switches are used for both
management and maintenance, but the existing paper focuses only on system management. Some other
applications of network reconfi guration include increasing capacity of network, reconfi guration with
fewest switches, system development, fi nding optimum place for distributed generation (DG), etc. that
are not the subject of the study here. Since there are a lot of switches in the network, reconfi guration
issue is a complex optimization problem which has a lot of limitations. Some of these limitations are
© Siberian Federal University. All rights reserved
* Corresponding author E-mail address: Shojaeian@iaukhsh.ac.ir
# 617 #
Стр.3