Ga-based passive loop optimization for magnetic field mitigation of transmission lines

Autor:	Antonio de la Villa, Jesus Riquelme, José Manuel Lavié Martínez, Pedro Cruz
Rok vydání:	2007
Předmět:	Loop optimization Electric power transmission Artificial Intelligence Computer science Control theory Cognitive Neuroscience Overhead (computing) Computer Science Applications Magnetic field
Zdroj:	Neurocomputing. 70:2679-2686
ISSN:	0925-2312
DOI:	10.1016/j.neucom.2006.05.016
Popis:	This paper presents a systematic method to assist in the design of passive loops with the aim of mitigating the magnetic field generated by overhead transmission lines. The procedure is based on a two-dimensional (2D) modeling of the magnetic field, using a genetic algorithm (GA) to obtain the optimal mitigation design both for non-compensated and compensated coils. The proposed technique is applied to a horizontal line using three different passive mitigating configurations. Numerical results of the convergence and mitigation effectiveness, as well as discussion of the results, are provided.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5470a85cd2d48c17c79e42b85b38c7cb https://doi.org/10.1016/j.neucom.2006.05.016 Zobrazit plný text záznamu Full Text from ScienceDirect