A Suite of Intelligent Tools for Early Detection and Prevention of Blackouts in Power Interconnections


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详细

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.

作者简介

N. Voropai

Melentiev Energy Systems Institute, Siberian Branch

编辑信件的主要联系方式.
Email: voropai@isem.irk.ru
俄罗斯联邦, Irkutsk

N. Tomin

Melentiev Energy Systems Institute, Siberian Branch

Email: voropai@isem.irk.ru
俄罗斯联邦, Irkutsk

D. Sidorov

Melentiev Energy Systems Institute, Siberian Branch

Email: voropai@isem.irk.ru
俄罗斯联邦, Irkutsk

V. Kurbatsky

Melentiev Energy Systems Institute, Siberian Branch

Email: voropai@isem.irk.ru
俄罗斯联邦, Irkutsk

D. Panasetsky

Melentiev Energy Systems Institute, Siberian Branch

Email: voropai@isem.irk.ru
俄罗斯联邦, Irkutsk

A. Zhukov

Melentiev Energy Systems Institute, Siberian Branch

Email: voropai@isem.irk.ru
俄罗斯联邦, Irkutsk

D. Efimov

Melentiev Energy Systems Institute, Siberian Branch

Email: voropai@isem.irk.ru
俄罗斯联邦, Irkutsk

A. Osak

Melentiev Energy Systems Institute, Siberian Branch

Email: voropai@isem.irk.ru
俄罗斯联邦, Irkutsk

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