Power system security assessment using neural networks: Feature selection using fisher discrimination

IEEE Transactions on Power Systems

Volumn 16, Issue 4, 2001, Pages 757-763

  Jensen, C A ^a   El Sharkawi, M A ^a   Marks II, R J ^a  

^a University of Washington   (United States)

Author keywords

Dynamic security; Intelligent systems; Neural network; Power system

Indexed keywords

ELECTRIC POWER GENERATION; ELECTRIC POWER SYSTEM INTERCONNECTION; INTELLIGENT NETWORKS; LINEARIZATION; NEURAL NETWORKS; SECURITY SYSTEMS;

DYNAMIC SECURITY; FISHER LINEAR DISCRIMINANT FUNCTION; INTELLIGENT SYSTEMS; POWER SYSTEM SECURITY ASSESSMENT;

ELECTRIC POWER SYSTEM PROTECTION;

EID: 0035506958     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/59.962423     Document Type: Article

References (13)

1. Artificial neural-net based dynamic security assessment for electric power systems
2. Dynamic security assessment of power systems using back error propagation artificial neural networks
3. Dynamic security contingency screening and ranking using neural networks
4. Feature selection and extraction in pattern recognition
5. Use of Karhunen-Loe've expansion in training neural networks for static security assessment
6. The use of multiple measurements in taxonomic problems
7. Transient stability test systems for direct stability methods