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Avtomatika i Telemekhanika, 2018, Issue 10, Pages 6–25
(Mi at15207)
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This article is cited in 9 scientific papers (total in 9 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.
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
Linking options:
https://www.mathnet.ru/eng/at15207 https://www.mathnet.ru/eng/at/y2018/i10/p6
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Statistics & downloads: |
Abstract page: | 222 | Full-text PDF : | 64 | References: | 23 | First page: | 6 |
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