Publicação
Decision support for power system control centers – a model based reasoning component
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Malheiro, Nuno | |
| dc.contributor.author | Vale, Zita | |
| dc.contributor.author | Ramos, Carlos | |
| dc.contributor.author | Cordeiro, Manuel | |
| dc.contributor.author | Marques, Albino | |
| dc.contributor.author | Couto, Vieira | |
| dc.contributor.editor | Ramos, Carlos | |
| dc.contributor.editor | Vale, Zita | |
| dc.date.accessioned | 2026-04-16T08:53:57Z | |
| dc.date.available | 2026-04-16T08:53:57Z | |
| dc.date.issued | 2004-07-23 | |
| dc.description.abstract | The increasing demand on Power System Control Centers (PSCC) for optimization of the use of the Electrical Network implies, as one of its key focuses, the fastest possible restoration of service. Human PSCC operators (PSCCO) control the Electrical Network aided by a distributed system of sensors and actuators, which produce temporal information about the networks’ state. These distributed systems are known as Supervisory Control and Data acquisition or SCADA systems. In incident situations, in which SCADA systems can produce huge amounts of information, PSCCOs can become very stressed and loose the necessary focus to perform an accurate diagnosis and hence proper power restoration. Several approaches have been made to develop systems which can cope with the particularly hard features of this problem in real-time. This paper presents a model based teasoning component which is integrated in a multicomponent system with the task of Electrical Network diagnosis and restoration. This particular component adds adaptability to the system ensuring correct behaviour on any topological variation of the part of the electrical network in service or its protection schemes. The whole system is fully functional and operating in the Portuguese Electrical Network Dispatch Center. | spa |
| dc.identifier.citation | Malheiro, N., Vale, Z., Ramos, C., Cordeiro, M., Marques, A. & Couto, V. (2004, July 21-23). Decision support for power system control centers – a model based reasoning component. In Ramos, C. & Vale, Z. (Eds) Proceedings of the International Conference of Knowledge Engineering and Decision Support, ICKEDS´04. (pp. 313-319). Porto. Portugal | |
| dc.identifier.isbn | 972-8688-24-5 | |
| dc.identifier.uri | http://hdl.handle.net/10400.22/32227 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Knowledge Engineering and Decision Support Research Group - GECAD | |
| dc.rights.uri | N/A | |
| dc.subject | Model Based Reasoning | |
| dc.subject | Temporal Reasoning | |
| dc.subject | Non-Monotonic Reasoning | |
| dc.subject | Incomplete Information | |
| dc.subject | Power Systems | |
| dc.title | Decision support for power system control centers – a model based reasoning component | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2004-07-23 | |
| oaire.citation.conferencePlace | Porto, Portugal | |
| oaire.citation.endPage | 319 | |
| oaire.citation.startPage | 313 | |
| oaire.citation.title | International Conference of Knowledge Engineering and Decision Support, ICKEDS´04 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Vale | |
| person.familyName | Ramos | |
| person.givenName | Zita | |
| person.givenName | Carlos | |
| person.identifier | 632184 | |
| person.identifier.ciencia-id | 721B-B0EB-7141 | |
| person.identifier.ciencia-id | 1011-FAFC-AEBA | |
| person.identifier.orcid | 0000-0002-4560-9544 | |
| person.identifier.orcid | 0000-0002-5143-1711 | |
| person.identifier.rid | A-5824-2012 | |
| person.identifier.rid | K-7403-2014 | |
| person.identifier.scopus-author-id | 7004115775 | |
| person.identifier.scopus-author-id | 7201559105 | |
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| relation.isAuthorOfPublication | 43ef055e-80e6-4b31-8400-2d3592927e03 | |
| relation.isAuthorOfPublication.latestForDiscovery | ff1df02d-0c0f-4db1-bf7d-78863a99420b |
