A new evolutionary method for designing grounding grids by touch voltage control

IEEE International Symposium on Industrial Electronics

Volumn 2, Issue , 2004, Pages 1501-1505

  Neri, Ferrante ^a  

^a POLITECNICO DI BARI   (Italy)

Author keywords

Binary and Real Encoding; Evolutionary Computing; Genetic Algorithm; Grounding Grid Optimization; Maxwell's Subareas Method

Indexed keywords

BINARY AND REAL ENCODING; EVOLUTIONARY COMPUTING; EVOLUTIONARY METHOD; GROUNDING GRID OPTIMIZATION; GROUNDING GRIDS; IEEE STANDARDS; MAXWELL'S SUBAREAS METHOD; SAFETY VALUES; TOUCH VOLTAGE;

COMPUTATION THEORY; ELECTRIC GROUNDING; ELECTRIC POTENTIAL; ENCODING (SYMBOLS); GRID COMPUTING; INDUSTRIAL ELECTRONICS; MAXWELL EQUATIONS; VOLTAGE REGULATORS;

GENETIC ALGORITHMS;

EID: 24644491357     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2004.1572036     Document Type: Conference Paper

References (10)

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10. MI. S'los Labini G. Delvecchio, F. Neri."A Genetic Algorithm Method for determining the Maximum Touch Voltage generated by a Grounding Svstem" Optimization and Inverse Problenis in Electromagnetism, Kluwer Academic Publishers. Dordrecht Hardbound (Netherlands). 2003, pages 85-92