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Power Flow Studies for Assessment the Security of Steady States in Zone Inside the Large Interconnected Power System. / Kuznecovs, Timurs; Mahnitko, Anatolijs; Sauhats, Antans и др.
в: Procedia Computer Science, Том 104, 2017, стр. 421-428.

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Kuznecovs T, Mahnitko A, Sauhats A, Oboskalov V. Power Flow Studies for Assessment the Security of Steady States in Zone Inside the Large Interconnected Power System. Procedia Computer Science. 2017;104:421-428. doi: 10.1016/j.procs.2017.01.155

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Kuznecovs, Timurs ; Mahnitko, Anatolijs ; Sauhats, Antans и др. / Power Flow Studies for Assessment the Security of Steady States in Zone Inside the Large Interconnected Power System. в: Procedia Computer Science. 2017 ; Том 104. стр. 421-428.

BibTeX

@article{419786ad851e4014bf0e1e588be71823,
title = "Power Flow Studies for Assessment the Security of Steady States in Zone Inside the Large Interconnected Power System",
keywords = "Compensating injections, Equipotential grid model, Power flow study, Superposition principle, TSO",
author = "Timurs Kuznecovs and Anatolijs Mahnitko and Antans Sauhats and Vladislav Oboskalov",
year = "2017",
doi = "10.1016/j.procs.2017.01.155",
language = "English",
volume = "104",
pages = "421--428",
journal = "Procedia Computer Science",
issn = "1877-0509",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - Power Flow Studies for Assessment the Security of Steady States in Zone Inside the Large Interconnected Power System

AU - Kuznecovs, Timurs

AU - Mahnitko, Anatolijs

AU - Sauhats, Antans

AU - Oboskalov, Vladislav

PY - 2017

Y1 - 2017

KW - Compensating injections

KW - Equipotential grid model

KW - Power flow study

KW - Superposition principle

KW - TSO

UR - http://www.scopus.com/inward/record.url?scp=85016033633&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000399478800057

U2 - 10.1016/j.procs.2017.01.155

DO - 10.1016/j.procs.2017.01.155

M3 - Article

AN - SCOPUS:85016033633

VL - 104

SP - 421

EP - 428

JO - Procedia Computer Science

JF - Procedia Computer Science

SN - 1877-0509

ER -

ID: 1684753