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Avtomat. i Telemekh., 2018, Issue 10, Pages 6–25 (Mi at15207)  

This article is cited in 4 scientific papers (total in 4 papers)

Control Problems for the Development of Large-Scale Systems

A suite of intelligent tools for early detection and prevention of blackouts in power interconnections

N. I. Voropai, N. V. Tomin, D. N. Sidorov, V. G. Kurbatsky, D. A. Panasetsky, A. V. Zhukov, D. N. Efimov, A. B. Osak

Melentiev Energy Systems Institute, Siberian Branch, Russian Academy of Sciences, Irkutsk, Russia

Abstract: We propose a suite of intelligent tools based on the integration of methods of agent modeling and machine learning for the improvement of protection systems and emergency automatics. We propose an online approach to the assessment and management of dynamic security of electric power systems (EPS) with the use of a streaming modification of the random forest algorithm. The suite allows to recognize dangerous modes of complex closed-loop EPS, preventing the risk of emergencies on early stages. We show results of experimental tests on IEEE test systems.

Keywords: agent modeling, machine learning, emergency automatics, electric power systems, voltage collapse, $L$-index.

Funding Agency Grant Number
Siberian Branch of Russian Academy of Sciences III.17.4.2, -17-117030310438-1
III.17.3.1, -17-117030310442-8
This work was done within the fundamental research program of the SB RAS, reg. no. AAAAA17-117030310438-1, research project III.17.4.2 and reg. no. AAAA-A17-117030310442-8, research project III.17.3.1.

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English version:
Automation and Remote Control, 2018, 79:10, 1741–1755

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Presented by the member of Editorial Board: . . 

Received: 09.11.2017

Citation: N. I. Voropai, N. V. Tomin, D. N. Sidorov, V. G. Kurbatsky, D. A. Panasetsky, A. V. Zhukov, D. N. Efimov, A. B. Osak, “A suite of intelligent tools for early detection and prevention of blackouts in power interconnections”, Avtomat. i Telemekh., 2018, no. 10, 6–25; Autom. Remote Control, 79:10 (2018), 1741–1755

Citation in format AMSBIB
\by N.~I.~Voropai, N.~V.~Tomin, D.~N.~Sidorov, V.~G.~Kurbatsky, D.~A.~Panasetsky, A.~V.~Zhukov, D.~N.~Efimov, A.~B.~Osak
\paper A suite of intelligent tools for early detection and prevention of blackouts in power interconnections
\jour Avtomat. i Telemekh.
\yr 2018
\issue 10
\pages 6--25
\jour Autom. Remote Control
\yr 2018
\vol 79
\issue 10
\pages 1741--1755

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    Citing articles on Google Scholar: Russian citations, English citations
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    This publication is cited in the following articles:
    1. F. Liu, R. Li, A. Dreglea, “Wind speed and power ultra short-term robust forecasting based on takagi-sugeno fuzzy model”, Energies, 12:18 (2019), 3551  crossref  isi  scopus
    2. V N. Tomin , V. G. Kurbatsky, I. S. Reutsky, “Hybrid intelligent technique for voltage/var control in power systems”, IET Gener. Transm. Distrib., 13:20 (2019), 4724–4732  crossref  isi
    3. N. Voropai, V. Kurbatsky, N. Tomin, D. Efimov, I. Kolosok, “Intelligent control and protection of power systems in the russian cities”, Proceedings of the 8Th International Conference on Smart Cities and Green Ict Systems (Smartgreens), eds. C. Klein, B. Donnellan, M. Helfert, Scitepress, 2019, 19–29  crossref  isi  scopus
    4. N. V. Tomin, “The concept of constructing an artificial dispatcher intelligent system based on deep reinforcement learning for the automatic control system of electric networks”, J. Comput. Syst. Sci. Int., 59:6 (2020), 939–956  crossref  isi
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