Title :
Composite security boundary visualization
Author :
Zhou, Guozhong ; McCalley, James D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
fDate :
5/1/1999 12:00:00 AM
Abstract :
Based on a security assessment methodology using automatic training data generation software and neural networks, a composite security boundary visualisation approach is proposed for power system operations. This approach can draw a single continuous boundary given multiple individual security problems. It can be conveniently accessed on-line and can be easily integrated into the energy management system. Examples are given for demonstration of the effectiveness of the proposed approach
Keywords :
learning (artificial intelligence); neural nets; power system analysis computing; power system security; automatic training data generation software; composite security boundary visualization; energy management system; multiple individual security problems; neural networks; on-line access; power system operations; security assessment methodology; single continuous boundary; Computer security; Data security; Data visualization; Load flow; Neural networks; Power generation; Power system planning; Power system security; System performance; Training data;
Journal_Title :
Power Systems, IEEE Transactions on
