Particle swarm optimization for power system state estimation

Neurocomputing

Volumn 148, Issue , 2015, Pages 175-180

  Tungadio, D H ^a   Numbi, B P ^a   Siti, M W ^a   Jimoh, A A ^a  

^a TSHWANE UNIVERSITY OF TECHNOLOGY   (South Africa)

Author keywords

Artificial intelligence; Genetic algorithm; Particle swarm optimization; Power system; State estimation

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; MEASUREMENT ERRORS; STATE ESTIMATION; UNCERTAINTY ANALYSIS;

COMMUNICATION ERRORS; ELECTRICAL NETWORKS; NEWTON-RAPHSON ALGORITHM; OPTIMIZATION ALGORITHMS; POWER SYSTEM; POWER SYSTEM STATE ESTIMATION; WEIGHTED LEAST ABSOLUTE VALUE; WEIGHTED LEAST SQUARES;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; CALCULATION; GENETIC ALGORITHM; MATHEMATICAL COMPUTING; PARTICLE SWARM OPTIMIZATION; POWER SYSTEM STATE ESTIMATION; PROCESS OPTIMIZATION; REGRESSION ANALYSIS; SIMULATION; STATISTICAL PARAMETERS;

EID: 85027950340     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.10.049     Document Type: Article

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