Standard

N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement. / Popovtsev, Vladislav; Ignatiev, Danil; Snegirev, Denis.
2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8982261 (2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Popovtsev, V, Ignatiev, D & Snegirev, D 2019, N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement. in 2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings., 8982261, 2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 60th IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019, Riga, Latvia, 07/10/2019. https://doi.org/10.1109/RTUCON48111.2019.8982261

APA

Popovtsev, V., Ignatiev, D., & Snegirev, D. (2019). N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement. In 2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings [8982261] (2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTUCON48111.2019.8982261

Vancouver

Popovtsev V, Ignatiev D, Snegirev D. N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement. In 2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8982261. (2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings). doi: 10.1109/RTUCON48111.2019.8982261

Author

Popovtsev, Vladislav ; Ignatiev, Danil ; Snegirev, Denis. / N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement. 2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings).

BibTeX

@inproceedings{84013151dadd47f79994f1578045955c,
title = "N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement",
keywords = "genetic algorithm, MATLAB, MATPOWER, multiobjective optimization, power system security, static var compensator, FLOW",
author = "Vladislav Popovtsev and Danil Ignatiev and Denis Snegirev",
year = "2019",
month = oct,
doi = "10.1109/RTUCON48111.2019.8982261",
language = "English",
series = "2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings",
address = "United States",
note = "60th IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 ; Conference date: 07-10-2019 Through 09-10-2019",

}

RIS

TY - GEN

T1 - N-1 Based Optimal Placement of SVC Using Elitist Genetic Algorithm in Terms of Multiobjective Problem Statement

AU - Popovtsev, Vladislav

AU - Ignatiev, Danil

AU - Snegirev, Denis

PY - 2019/10

Y1 - 2019/10

KW - genetic algorithm

KW - MATLAB

KW - MATPOWER

KW - multiobjective optimization

KW - power system security

KW - static var compensator

KW - FLOW

UR - http://www.scopus.com/inward/record.url?scp=85084339793&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000546621000009

U2 - 10.1109/RTUCON48111.2019.8982261

DO - 10.1109/RTUCON48111.2019.8982261

M3 - Conference contribution

AN - SCOPUS:85084339793

T3 - 2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings

BT - 2019 IEEE 60th Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 60th IEEE Annual International Scientific Conference on Power and Electrical Engineering of Riga Technical University, RTUCON 2019

Y2 - 7 October 2019 through 9 October 2019

ER -

ID: 12904931