A Genetic Algorithm Method for Determining the Maximum Touch Voltage Generated by a Grounding System
Marcello Sylos Labini (),
Giuseppe Delvecchio and
Ferrante Neri
Additional contact information
Marcello Sylos Labini: Polytechnic of Bari, Department of Electrotechnics and Electronics
Giuseppe Delvecchio: Polytechnic of Bari, Department of Electrotechnics and Electronics
Ferrante Neri: Polytechnic of Bari, Department of Electrotechnics and Electronics
A chapter in Optimization and Inverse Problems in Electromagnetism, 2003, pp 85-92 from Springer
Abstract:
Abstract The Authors suggest a new method for quickly determining the maximum touch voltage generated by a grounding system leaking a known current. The touch voltages in the points of the soil surface are calculated by the Maxwell’s subareas method and the search for the maximum touch voltage is carried out by an ad hoc genetic program which is based both on the “one-point crossover” technique and on a mutation having a pre-arranged probability rate. The method has been successfully tested on some grounding systems.
Keywords: grounding grid; Maxwell’s subareas method; genetic algorithm (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-94-017-2494-4_10
Ordering information: This item can be ordered from
http://www.springer.com/9789401724944
DOI: 10.1007/978-94-017-2494-4_10
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().