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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Da Silva Filho, J.I. Rocco, A. Mario, M.C. Ferrara, L.F. |
| Copyright Year | 2006 |
| Description | Author affiliation: Inst. de Estudos Avancados, Univ. de Sao Paulo, Terreo (Da Silva Filho, J.I.) |
| Abstract | In this paper we have presented an expert system built with paraconsistent artificial neural network (PANN) applied to an electrical power transmission system operation support in real time. The paraconsistent expert system, PES, is capable of offering a diagnosis and proposition of the optimal restorative strategy to the electrical power transmission system after a contingency. This paraconsistent expert system (PES) uses the Annotated Paraconsistent logic to produce diagnosis suggesting the restorative strategy based in the analysis of occurrence information (load breakers, protections, etc.). In the re-establishment suggestions the systemic restrictions are respected regarding suitable voltage levels and limits of the load of the involved equipments based in informations from the database of previous operations. The logic used by the PES to take decisions is the annotated paraconsistent logic (APL) which belongs to a class of the non-classic logical denominated of paraconsistent logic-PL. The using of APL, brings certain advantages in comparison with the classic logic because it allows manipulation of contradictory signals, and, thus, presents a faster and reliable action for taking decisions in case of receptions of vague, ambiguous and inconsistent information. The results demonstrate that the Paraconsistent Logic, with their algorithms and the paraconsistent artificial neural cells artificial, opens a great field for researches and developments and can be used with promising results for implementations of applied expert in the electric power systems Re-establishment for different topologic configurations |
| Starting Page | 2212 |
| Ending Page | 2220 |
| File Size | 430119 |
| Page Count | 9 |
| File Format | |
| ISBN | 1424401771 |
| DOI | 10.1109/PSCE.2006.296285 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-29 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Real time systems Power system protection Power transmission Artificial neural networks Voltage Power system restoration Logic Expert systems Diagnostic expert systems Information analysis |
| Content Type | Text |
| Resource Type | Article |
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