Title :
Visualisation of voltage stability in large electric power systems
Author_Institution :
Dept. of Electr. Eng., Dortmund Univ., Germany
fDate :
11/1/1999 12:00:00 AM
Abstract :
Information technology offers much data from electric power systems that can be condensed into high-quality information with the techniques of computational intelligence to enable a precise assessment of the system´s condition. A self-organising feature map (SOM) is used both for the indication and visualisation of voltage stability in large electric power systems. A conclusive mathematical description and selection of input data for the assessment of voltage stability is given. The application of a SOM is worked out bypassing the disadvantages of standard voltage stability indicators. The SOM is applicable to the analysis of power systems and the development of stabilising measures. The method is tested on a model of a real voltage-critical transmission system
Keywords :
power system analysis computing; power system dynamic stability; self-organising feature maps; computational intelligence; electric power systems; high-quality information; information technology; input data selection; mathematical description; power systems analysis; self-organising feature map; stabilising measures; voltage stability visualisation; voltage-critical transmission system;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:19990663
