Voltage security assessment and control system using a hybrid intelligent method

2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future

Volumn , Issue , 2009, Pages

  Nakawiro, Worawat ^a   Erlich, Istvan ^a  

^a UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

Ant colony optimization; Artificial neural network; Learning vector quantization; Voltage security assessment and control

Indexed keywords

ANT-COLONY OPTIMIZATION; ARTIFICIAL NEURAL NETWORK; BUS SYSTEMS; CONTINUATION POWER FLOW; CONTROL SETTINGS; HYBRID INTELLIGENT ALGORITHMS; HYBRID INTELLIGENT METHOD; INSECURE STATE; INTENSIVE COMPUTING; LEARNING VECTOR QUANTIZATION; LEARNING VECTOR QUANTIZATION NETWORKS; OPERATING POINTS; OPTIMAL REACTIVE POWER DISPATCH; OPTIMIZATION PROCESS; POWER SYSTEM OPERATORS; SECURITY LEVEL; TWO STAGE; VOLTAGE SECURITY; VOLTAGE SECURITY ASSESSMENT; VOLTAGE SECURITY MARGIN;

CONSTRAINED OPTIMIZATION; MATHEMATICAL OPERATORS; NETWORK SECURITY; REACTIVE POWER; VECTOR QUANTIZATION;

NEURAL NETWORKS;

EID: 74949111265     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2009.5282127     Document Type: Conference Paper

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