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A hybrid artificial neural network for voltage security evaluation in a power system

Zhukov A., Tomin N., Sidorov D., Panasetsky D., Spirayev V. A hybrid artificial neural network for voltage security evaluation in a power system // IYCE 2015 - Proceedings: 2015 5th International Youth Conference on Energy. 2015. 1 p. ISBN (print): 9781467371. DOI: 10.1109/IYCE.2015.7180828 A majority of recent large-scale blackouts have been the consequence of instabilities characterized by sudden voltage collapse phenomena. This paper presents a method for voltage instability monitoring in a power...

Теги: electric power system security , multilayers , network security , neural networks , emergency , hybrid artificial neural network , kohonen neural networks , large-scale blackout , power security , power system
Раздел: ИСЭМ СО РАН
Development of an intelligent system for preventing large-scale emergencies in power systems

... proposes a novel approach to the system monitoring and control with the goal of identification of potential voltage instability problems before they lead to major blackouts. The proposed approach is based on detecting alarm states using self-organized Kohonen neural networks, and activating a multi-agent control system to take necessary preventive actions. The Kohonen network is trained off-line and then applied on-line to predict possible emergencies. The intelligent system was realized in STATISTICA ...

Теги: blackout , emergency conditions , emergency control , kohonen network , kohonen neural networks , large-scale emergency , multiagent control , russian federation , electric power system interconnection , intel
Раздел: ИСЭМ СО РАН
Using of neural network technology and multi-agent systems to preventing large-scale emergencies in electric power systems

... an intelligent approach to the system monitoring and control with the goal of identification of potential voltage instability problems before they lead to major blackouts. The proposed approach is based on detecting alarm states using self-organized Kohonen neural networks, and activating a multi-agent control system to take necessary preventive actions. The Kohonen network is trained off-line and then applied on-line to predict possible emergencies. The proposed clustering model was realized in ...

Теги: blackout , emergency conditions , kohonen network , kohonen neural networks , large-scale blackout , large-scale emergency , multiagent control , network technologies , electric power system interconnection
Раздел: ИСЭМ СО РАН


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