dc.creator | Wang, Tao | es |
dc.creator | Wang, Jun | es |
dc.creator | Fan, Zhennan | es |
dc.creator | Wei, Xiaoguang | es |
dc.creator | Pérez Jiménez, Mario de Jesús | es |
dc.creator | Zang, Tianlei | es |
dc.creator | Huang, Tao | es |
dc.date.accessioned | 2021-07-12T11:30:01Z | |
dc.date.available | 2021-07-12T11:30:01Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Wang, T., Wang, J., Fan, Z., Wei, X., Pérez Jiménez, M.d.J., Zang, T. y Huang, T. (2017). Fault Diagnosis for Multi-energy Flows of Energy Internet: Framework and Prospects. En EI2 2017: IEEE Conference on Energy Internet and Energy System Integration Beijing, China: IEEE Computer Society. | |
dc.identifier.isbn | 978-1-5386-1427-3 | es |
dc.identifier.uri | https://hdl.handle.net/11441/116001 | |
dc.description.abstract | Energy Internet (EI) is an inevitable development
trend of energy systems under the background of technology
development, environmental pressure and energy transition.
Multi-energy flow coupling is one of the key characteristics of the
EI, which enhances the interoperability of different types of
energy flows while consequently increases the probability of
cascading failures. Therefore it is of great significance to study the
multi-energy flow fault diagnosis of the EI to ensure its safe and
stable operation as well as the continuous energy supply. This
paper introduces the concept of multi-energy flow cascading fault
of the EI for the first time. The energy internet framework for
multi-energy flow cascading fault diagnosis is firstly proposed,
and then characteristics of various energy networks in the EI are
analyzed from the perspective of fault diagnosis. Finally, future
research prospects are discussed. | es |
dc.description.sponsorship | National Natural Science Foundation of China 61703345 | es |
dc.description.sponsorship | National Natural Science Foundation of China 61472328 | es |
dc.description.sponsorship | National Natural Science Foundation of China 51607146 | es |
dc.format | application/pdf | es |
dc.format.extent | 5 | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | EI2 2017: IEEE Conference on Energy Internet and Energy System Integration (2017). | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | energy Internet | es |
dc.subject | fault diagnosis | es |
dc.subject | multi-energy flow | es |
dc.subject | multi-energy flow cascading fault | es |
dc.subject | interoperability | es |
dc.title | Fault Diagnosis for Multi-energy Flows of Energy Internet: Framework and Prospects | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | 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 | 61703345 | es |
dc.relation.projectID | 61472328 | es |
dc.relation.projectID | 51607146 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8245494?signout=success | es |
dc.identifier.doi | 10.1109/EI2.2017.8245494 | es |
dc.contributor.group | Universidad de Sevilla. TIC193: Computación Natural | es |
dc.eventtitle | EI2 2017: IEEE Conference on Energy Internet and Energy System Integration | es |
dc.eventinstitution | Beijing, China | es |
dc.relation.publicationplace | New York, USA | es |
dc.contributor.funder | National Natural Science Foundation of China | es |