dc.creator | Wang, Tao | es |
dc.creator | Zeng, Sikui | es |
dc.creator | Zhang, Gexiang | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Wang, Jun | es |
dc.date.accessioned | 2021-04-26T10:43:12Z | |
dc.date.available | 2021-04-26T10:43:12Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Wang, T., Zeng, S., Zhang, G., Pérez Jiménez, M.d.J. y Wang, J. (2015). Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems. Romanian Journal of Information Science and Technology (ROMJIST), 18 (3), 240-255. | |
dc.identifier.issn | 1453-8245 | es |
dc.identifier.uri | https://hdl.handle.net/11441/107802 | |
dc.description.abstract | An optimization spiking neural P system (OSNPS) provides
a novel way to directly use a P system to solve optimization problems. This
paper discusses the practical application of OSNPS for the first time and uses
it to solve the power system fault section estimation problem formulated by an
optimization problem. When the status information of protective relays and
circuit breakers read from a supervisory control and data acquisition system is
input, the OSNPS can automatically search and output fault sections. Case
studies show that an OSNPS is effective in fault sections estimation of power
systems in different types of fault cases: including a single fault, multiple faults
and multiple faults with incomplete and uncertain information. | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2012-37434 | es |
dc.format | application/pdf | es |
dc.format.extent | 16 | es |
dc.language.iso | eng | es |
dc.publisher | Romanian Academy, Section for Information Science and Technology | es |
dc.relation.ispartof | Romanian Journal of Information Science and Technology (ROMJIST), 18 (3), 240-255. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Membrane Computing | es |
dc.subject | Optimization spiking neural P system | es |
dc.subject | Fault section estimation | es |
dc.subject | Power systems | es |
dc.subject | Fault diagnosis | es |
dc.title | Fault Section Estimation of Power Systems with Optimization Spiking Neural P Systems | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | TIN2012-37434 | es |
dc.relation.publisherversion | https://www.romjist.ro/content/cuprins18_3.html | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
dc.journaltitle | Romanian Journal of Information Science and Technology (ROMJIST) | es |
dc.publication.volumen | 18 | es |
dc.publication.issue | 3 | es |
dc.publication.initialPage | 240 | es |
dc.publication.endPage | 255 | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |