| Autor: |
Negnevitsky, M., Rehtanz, Ch., Hager, Ulf, Tomin, N., Kurbatsky, V., Panasetsky, D. |
| Zdroj: |
2013 Australasian Universities Power Engineering Conference (AUPEC); 2013, p1-6, 6p |
| Abstrakt: |
Modern electricity grids continue to be vulnerable to large-scale blackouts. During the past ten years events in North America, Europe and Asia have clearly demonstrated an increasing likelihood of large blackouts. If pre-emergency conditions are identified, preventive actions can be taken, and large-scale blackouts avoided. In the current competitive environment, such conditions may not be easily detected because different problems may simultaneously occur in different parts of a large network within different jurisdictions. In the paper a novel viable approach is proposed to minimise the threat of large-scale blackouts. The proposed system consist of two main parts: the alarm trigger, an intelligent neural network-based system for early detection of possible alarm states in a power system, and the competitive-collaborative multi-agent control system. We demonstrated the approach on the modified 53-bus IEEE power system. Results are presented and discussed. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
