Fast transient stability assessment of large power system using probabilistic neural network with feature reduction techniques

Expert Systems with Applications

Volumn 38, Issue 9, 2011, Pages 11112-11119

  Wahab, Noor Izzri Abdul ^a,b   Mohamed, Azah ^a   Hussain, Aini ^a  

^a UNIVERSITI KEBANGSAAN MALAYSIA   (Malaysia)

^b UNIVERSITY PUTRA MALAYSIA   (Malaysia)

Author keywords

Correlation analysis; Principle component analysis; Probabilistic neural network; Transient stability assessment

Indexed keywords

BUS SYSTEMS; CLASSIFICATION RESULTS; CORRELATION ANALYSIS; DATA SETS; EXTRACTION METHOD; FAST TRANSIENTS; FEATURE REDUCTION; FEATURE SELECTION; LARGE POWER SYSTEMS; LOADING CONDITION; POWER SYSTEMS; PRINCIPLE COMPONENT ANALYSIS; PROBABILISTIC NEURAL NETWORK; PROBABILISTIC NEURAL NETWORKS; ROTOR ANGLE; THREE PHASE FAULTS; TIME-DOMAIN SIMULATIONS; TRANSIENT STABILITY; TRANSIENT STABILITY ASSESSMENT;

FEATURE EXTRACTION; PRINCIPAL COMPONENT ANALYSIS; RATING; SYSTEM STABILITY; TIME DOMAIN ANALYSIS;

NEURAL NETWORKS;

EID: 79955622660     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.02.156     Document Type: Article

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