Fault diagnosis on electrical distribution systems based on fuzzy logic

The occurrence of faults in distribution systems has a negative impact on society, and their effects can be reduced by fast and accurate diagnostic systems that allow to identify, locate, and correct the failures. Since the 1990s, fuzzy logic and other artificial intelligence techniques have been im...

Full description

Autores:
Pérez, Ramón
Inga, Esteban
Aguila, Alexander
Vásquez, Carmen
Lima, Liliana
amelec, viloria
Maury-Ardila, Henry
Tipo de recurso:
Part of book
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9574
Acceso en línea:
https://hdl.handle.net/11323/9574
https://repositorio.cuc.edu.co/
Palabra clave:
Distribution systems
Fault location
Fault type
Fuzzy logic
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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repository_id_str
dc.title.eng.fl_str_mv Fault diagnosis on electrical distribution systems based on fuzzy logic
title Fault diagnosis on electrical distribution systems based on fuzzy logic
spellingShingle Fault diagnosis on electrical distribution systems based on fuzzy logic
Distribution systems
Fault location
Fault type
Fuzzy logic
title_short Fault diagnosis on electrical distribution systems based on fuzzy logic
title_full Fault diagnosis on electrical distribution systems based on fuzzy logic
title_fullStr Fault diagnosis on electrical distribution systems based on fuzzy logic
title_full_unstemmed Fault diagnosis on electrical distribution systems based on fuzzy logic
title_sort Fault diagnosis on electrical distribution systems based on fuzzy logic
dc.creator.fl_str_mv Pérez, Ramón
Inga, Esteban
Aguila, Alexander
Vásquez, Carmen
Lima, Liliana
amelec, viloria
Maury-Ardila, Henry
dc.contributor.author.none.fl_str_mv Pérez, Ramón
Inga, Esteban
Aguila, Alexander
Vásquez, Carmen
Lima, Liliana
amelec, viloria
Maury-Ardila, Henry
dc.subject.proposal.eng.fl_str_mv Distribution systems
Fault location
Fault type
Fuzzy logic
topic Distribution systems
Fault location
Fault type
Fuzzy logic
description The occurrence of faults in distribution systems has a negative impact on society, and their effects can be reduced by fast and accurate diagnostic systems that allow to identify, locate, and correct the failures. Since the 1990s, fuzzy logic and other artificial intelligence techniques have been implemented to identify faults in distribution systems. The main objective of this paper is to perform fault diagnoses based on fuzzy logic. For conducting the study, the IEEE 34-Node Radial Test Feeder is used. The data was obtained from ATPDraw-based fault simulation on different nodes of the circuit considering three different fault resistance values of 0, 5, and 10 ohms. The fuzzy rules to identify the type of fault are defined using the magnitudes of the phase and neutral currents. All measurements are taken at the substation, and the results show that the proposed technique can perfectly identify and locate the type of failure.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-10-19T20:03:02Z
dc.date.available.none.fl_str_mv 2022-10-19T20:03:02Z
dc.date.issued.none.fl_str_mv 2022
dc.type.spa.fl_str_mv Capítulo - Parte de Libro
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_3248
dc.type.content.spa.fl_str_mv Text
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/bookPart
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dc.identifier.citation.spa.fl_str_mv Perez, R. et al. (2018). Fault Diagnosis on Electrical Distribution Systems Based on Fuzzy Logic. In: Tan, Y., Shi, Y., Tang, Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science(), vol 10942. Springer, Cham. https://doi.org/10.1007/978-3-319-93818-9_17
dc.identifier.isbn.spa.fl_str_mv 978-3-319-93817-2
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/11323/9574
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-319-93818-9_17
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
dc.identifier.eisbn.spa.fl_str_mv 978-3-319-93818-9
identifier_str_mv Perez, R. et al. (2018). Fault Diagnosis on Electrical Distribution Systems Based on Fuzzy Logic. In: Tan, Y., Shi, Y., Tang, Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science(), vol 10942. Springer, Cham. https://doi.org/10.1007/978-3-319-93818-9_17
978-3-319-93817-2
10.1007/978-3-319-93818-9_17
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
978-3-319-93818-9
url https://hdl.handle.net/11323/9574
https://repositorio.cuc.edu.co/
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofseries.none.fl_str_mv Advances in Swarm Intelligence;ICSI 2018
dc.relation.ispartofbook.spa.fl_str_mv Lecture Notes in Computer Science
dc.relation.references.spa.fl_str_mv Thukaram, D., Khincha, H., Vijaynarasimha, H.: Artificial neural network and support vector machine approach for locating faults in radial distribution systems. IEEE Trans. Power Delivery 20, 710–721 (2005)
Mirzaei, M., Kadir, M., Moazami, E., Hizam, H.: Review of fault location methods for distribution power system. Aust. J. Basic Appl. Sci. 3, 2670–2676 (2009)
Prakash, M., Pradhan, S., Roy, S.: Soft computing techniques for fault detection in power distribution systems : a review. In: 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), pp. 1–6 (2014)
Mustafa, M.: A novel fuzzy cause-and-effect-networks based methodology for a distribution system’s. In: 2013 3rd International Conference on Electric Power and Energy Conversion Systems (EPECS), pp. 1–6 (2013)
Ying, H., Ying, H., Ding, Y., Ding, Y., Li, S., Li, S., Shao, S., Shao, S.: Typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators. In: IEEE International Conference on Fuzzy Systems, pp. 824–828 (1998)
Mamdani, E., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Mach. Stud. 7, 1–13 (1975)
Schnitman, L., Yoneyama, T.: An efficient implementation of a learning method for Mamdani fuzzy models. In: Proceedings of the Sixth Brazilian Symposium on Neural Networks, vol. 1, pp. 38–43 (2000)
Distribution System Analysis Subcommittee: IEEE 34 Node Test Feeder (2000)
Pérez, R., Vásquez, C.: Fault location in distribution systems with distributed generation using support vector machines and smart meters. In: IEEE Ecuador Technical Chapters Meeting (ETCM), pp. 1–6 (2016)
Das, B.: Fuzzy logic-based fault-type identification in unbalanced radial power distribution system. IEEE Trans. Power Delivery 21, 278–285 (2006)
Mahanty, R., Gupta, P.: A fuzzy logic based fault classification approach using current samples only. Electr. Power Syst. Res. 77, 501–507 (2007)
Babayomi, O., Oluseyi, P., Keku, G., Ofodile, N.: Neuro-fuzzy based fault detection identification and location in a distribution network. In: Proceedings of 2017 IEEE PES-IAS PowerAfrica Conference: Harnessing Energy, Information and Communications Technology (ICT) for Affordable Electrification of Africa, PowerAfrica, pp. 164–168 (2017)
Ri, H.: A hybrid wavelet singular entropy and fuzzy system based fault detection and classification on distribution line with distributed generation. In: 2nd IEEE International Conference on Recent Trends in Electronics Information and Communication Technology (RTEICT), pp. 1473–1477 (2017)
Izquierdo, N.V., Viloria, A., Gaitán-Angulo, M., Bonerg, O., Lezama, P., Erase, J.J.C., Gutiérrez, A.S.: Methodology of application of diffuse mathematics to performance evaluation. Int. J. Control Theory Appl. (2016). ISSN 0974-5572
dc.relation.citationendpage.spa.fl_str_mv 185
dc.relation.citationstartpage.spa.fl_str_mv 174
dc.rights.eng.fl_str_mv © 2018 Springer International Publishing AG, part of Springer Nature
dc.rights.license.spa.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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dc.publisher.place.spa.fl_str_mv Germany
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spelling Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)© 2018 Springer International Publishing AG, part of Springer Naturehttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Pérez, RamónInga, EstebanAguila, AlexanderVásquez, CarmenLima, Lilianaamelec, viloriaMaury-Ardila, Henry2022-10-19T20:03:02Z2022-10-19T20:03:02Z2022Perez, R. et al. (2018). Fault Diagnosis on Electrical Distribution Systems Based on Fuzzy Logic. In: Tan, Y., Shi, Y., Tang, Q. (eds) Advances in Swarm Intelligence. ICSI 2018. Lecture Notes in Computer Science(), vol 10942. Springer, Cham. https://doi.org/10.1007/978-3-319-93818-9_17978-3-319-93817-2https://hdl.handle.net/11323/957410.1007/978-3-319-93818-9_17Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/978-3-319-93818-9The occurrence of faults in distribution systems has a negative impact on society, and their effects can be reduced by fast and accurate diagnostic systems that allow to identify, locate, and correct the failures. Since the 1990s, fuzzy logic and other artificial intelligence techniques have been implemented to identify faults in distribution systems. The main objective of this paper is to perform fault diagnoses based on fuzzy logic. For conducting the study, the IEEE 34-Node Radial Test Feeder is used. The data was obtained from ATPDraw-based fault simulation on different nodes of the circuit considering three different fault resistance values of 0, 5, and 10 ohms. The fuzzy rules to identify the type of fault are defined using the magnitudes of the phase and neutral currents. All measurements are taken at the substation, and the results show that the proposed technique can perfectly identify and locate the type of failure.1 páginaapplication/pdfengSpringer VerlagGermanyAdvances in Swarm Intelligence;ICSI 2018Lecture Notes in Computer ScienceThukaram, D., Khincha, H., Vijaynarasimha, H.: Artificial neural network and support vector machine approach for locating faults in radial distribution systems. IEEE Trans. Power Delivery 20, 710–721 (2005)Mirzaei, M., Kadir, M., Moazami, E., Hizam, H.: Review of fault location methods for distribution power system. Aust. J. Basic Appl. Sci. 3, 2670–2676 (2009)Prakash, M., Pradhan, S., Roy, S.: Soft computing techniques for fault detection in power distribution systems : a review. In: 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE), pp. 1–6 (2014)Mustafa, M.: A novel fuzzy cause-and-effect-networks based methodology for a distribution system’s. In: 2013 3rd International Conference on Electric Power and Energy Conversion Systems (EPECS), pp. 1–6 (2013)Ying, H., Ying, H., Ding, Y., Ding, Y., Li, S., Li, S., Shao, S., Shao, S.: Typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators. In: IEEE International Conference on Fuzzy Systems, pp. 824–828 (1998)Mamdani, E., Assilian, S.: An experiment in linguistic synthesis with a fuzzy logic controller. Int. J. Man Mach. Stud. 7, 1–13 (1975)Schnitman, L., Yoneyama, T.: An efficient implementation of a learning method for Mamdani fuzzy models. In: Proceedings of the Sixth Brazilian Symposium on Neural Networks, vol. 1, pp. 38–43 (2000)Distribution System Analysis Subcommittee: IEEE 34 Node Test Feeder (2000)Pérez, R., Vásquez, C.: Fault location in distribution systems with distributed generation using support vector machines and smart meters. In: IEEE Ecuador Technical Chapters Meeting (ETCM), pp. 1–6 (2016)Das, B.: Fuzzy logic-based fault-type identification in unbalanced radial power distribution system. IEEE Trans. Power Delivery 21, 278–285 (2006)Mahanty, R., Gupta, P.: A fuzzy logic based fault classification approach using current samples only. Electr. Power Syst. Res. 77, 501–507 (2007)Babayomi, O., Oluseyi, P., Keku, G., Ofodile, N.: Neuro-fuzzy based fault detection identification and location in a distribution network. In: Proceedings of 2017 IEEE PES-IAS PowerAfrica Conference: Harnessing Energy, Information and Communications Technology (ICT) for Affordable Electrification of Africa, PowerAfrica, pp. 164–168 (2017)Ri, H.: A hybrid wavelet singular entropy and fuzzy system based fault detection and classification on distribution line with distributed generation. In: 2nd IEEE International Conference on Recent Trends in Electronics Information and Communication Technology (RTEICT), pp. 1473–1477 (2017)Izquierdo, N.V., Viloria, A., Gaitán-Angulo, M., Bonerg, O., Lezama, P., Erase, J.J.C., Gutiérrez, A.S.: Methodology of application of diffuse mathematics to performance evaluation. Int. J. Control Theory Appl. (2016). ISSN 0974-5572185174https://link.springer.com/chapter/10.1007/978-3-319-93818-9_17Fault diagnosis on electrical distribution systems based on fuzzy logicCapítulo - Parte de Librohttp://purl.org/coar/resource_type/c_3248Textinfo:eu-repo/semantics/bookParthttp://purl.org/redcol/resource_type/CAP_LIBinfo:eu-repo/semantics/drafthttp://purl.org/coar/version/c_b1a7d7d4d402bcceDistribution systemsFault locationFault typeFuzzy logicPublicationORIGINALFault diagnosis on electrical distribution systems based on fuzzy logic.pdfFault diagnosis on electrical distribution systems based on fuzzy logic.pdfArtículoapplication/pdf54644https://repositorio.cuc.edu.co/bitstreams/2b3cc7cf-c7ee-45ae-91e1-70be77fe42db/download453137aaf0f128399b8585ccd7a43212MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/dd5805fe-12f8-42d0-97a1-302595424545/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTFault diagnosis on electrical distribution systems based on fuzzy 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
