Title | ||
---|---|---|
A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections. |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1134/S0005117918100016 | Automation and Remote Control |
Keywords | Field | DocType |
agent modeling, machine learning, emergency automatics, electric power systems, voltage collapse, L-index | Early detection,Protection system,Mathematical optimization,Suite,Voltage collapse,Electric power system,Random forest,Reliability engineering,Mathematics | Journal |
Volume | Issue | ISSN |
79 | 10 | 0005-1179 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nikolai I. Voropai | 1 | 1 | 2.08 |
Nikita V. Tomin | 2 | 7 | 4.25 |
Denis Sidorov | 3 | 18 | 4.81 |
Victor G. Kurbatsky | 4 | 5 | 3.69 |
Daniil A. Panasetsky | 5 | 1 | 1.76 |
Aleksei V. Zhukov | 6 | 0 | 0.34 |
Dmitry Efimov | 7 | 50 | 4.90 |
Alexey B. Osak | 8 | 0 | 0.68 |