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https://hdl.handle.net/10216/92426
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DC Field | Value | Language |
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dc.creator | Barbeiro, PNP | |
dc.creator | Teixeira, H | |
dc.creator | Jorge Pereira | |
dc.creator | Bessa, R | |
dc.date.accessioned | 2022-09-10T01:22:02Z | - |
dc.date.available | 2022-09-10T01:22:02Z | - |
dc.date.issued | 2015 | |
dc.identifier.other | sigarra:114764 | |
dc.identifier.uri | https://hdl.handle.net/10216/92426 | - |
dc.description.abstract | In this paper a Distribution State Estimator (DSE) tool suitable for real-time monitoring in poorly characterized low voltage networks is presented. An Autoencoder (AE) properly trained with Extreme Learning Machine (ELM) technique is the 'brain' of the DSE. The estimation of system state variables, i.e., voltage magnitudes and phase angles is performed with an Evolutionary Particle Swarm Optimization (EPSO) algorithm that makes use of the already trained AE. By taking advantage of historical data and a very limited number of quasi real-time measurements, the presented approach turns possible monitoring networks where information of topology and parameters is not available. Results show improvements in terms of estimation accuracy and time performance when compared to other similar DSE tools that make use of the traditional back-propagation based algorithms for training execution. Â(c) 2015 IEEE. | |
dc.language.iso | eng | |
dc.relation.ispartof | 2015 IEEE Eindhoven PowerTech, PowerTech 2015 | |
dc.rights | restrictedAccess | |
dc.subject | Engenharia electrotécnica, Engenharia electrotécnica, electrónica e informática | |
dc.subject | Electrical engineering, Electrical engineering, Electronic engineering, Information engineering | |
dc.title | An ELM-AE State Estimator for real-time monitoring in poorly characterized distribution networks | |
dc.type | Artigo em Livro de Atas de Conferência Internacional | |
dc.contributor.uporto | Faculdade de Economia | |
dc.identifier.doi | 10.1109/ptc.2015.7232679 | |
dc.identifier.authenticus | P-00K-2S6 | |
dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática | |
dc.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
Appears in Collections: | FEP - Artigo em Livro de Atas de Conferência Internacional |
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File | Description | Size | Format | |
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114764.pdf Restricted Access | 547.41 kB | Adobe PDF | Request a copy from the Author(s) |
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