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Akademický článek
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Publikováno v:
Anais do 5. Congresso Brasileiro de Redes Neurais.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae88298531c2b9c52acf4ae3f2f736e7
https://doi.org/10.21528/cbrn2001-115
https://doi.org/10.21528/cbrn2001-115
Publikováno v:
International Journal of Hybrid Intelligent Systems. 7:125-136
This application paper presents an intelligent system for alarm processing and fault location in power substations. A hybrid model is constructed using rule-based systems and an artificial neural network. Incoming alarms are initially handled by an i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::262e97225002f9dd4419bc33a46b6585
https://doi.org/10.3233/his-2010-0109
https://doi.org/10.3233/his-2010-0109
Publikováno v:
IEEE Transactions on Power Systems. 23:868-876
This paper gives a detailed account of the current practices used in Brazil for probabilistic reliability assessment of the national power grid, from the adequacy point of view. These procedures are utilized by the Brazilian independent electric syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b4a13292bcfd57616648065c1072684
https://doi.org/10.1109/tpwrs.2008.926088
https://doi.org/10.1109/tpwrs.2008.926088
Publikováno v:
Electric Power Components and Systems. 35:553-573
Real-time data redundancy is the main prerequisite for power system state estimation. This article develops a practical, efficient, numerical method for the on-line identification of critical data (single and groups) at the observability analysis ste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4c195b5382c6d182bb35f153d835ce9
https://doi.org/10.1080/15325000601078187
https://doi.org/10.1080/15325000601078187
Publikováno v:
Sba: Controle & Automação Sociedade Brasileira de Automatica. 17:103-114
Este trabalho apresenta a aplicação de um modelo neuro-fuzzy para o processamento de alarmes e localização de defeitos em sistemas de potência. Diferentes técnicas são investigadas para o estabelecimento de relações fuzzy entre padrões de a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e82bdcfc8e39f36c6b25f67014fd83e7
https://doi.org/10.1590/s0103-17592006000100010
https://doi.org/10.1590/s0103-17592006000100010
Publikováno v:
IEEE Transactions on Power Delivery. 19:537-544
This work presents a methodology that combines the use of artificial neural networks and fuzzy logic for alarm processing and identification of faulted components in electrical power systems. Fuzzy relations are established and form a database employ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::30b97d662399c24ad4afb992d514320b
https://doi.org/10.1109/tpwrd.2003.823205
https://doi.org/10.1109/tpwrd.2003.823205
Publikováno v:
Electric Power Systems Research. 62:13-19
This paper presents a method for automatic contingency selection and static security evaluation of electrical power systems. The method employs multi-layer perceptron neural networks whose inputs are power flows and injections, while the outputs comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::455b7d04725838ad3fe365a45a616181
https://doi.org/10.1016/s0378-7796(02)00016-0
https://doi.org/10.1016/s0378-7796(02)00016-0
Publikováno v:
Electric Power Systems Research. 57:25-32
State estimators are important monitoring tools which process real-time data in power system control centers. The capability of detecting and identifying bad data depends on the redundancy level of the information to be processed. Network changes or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c9dff2e018789b02ce338f18e29dcaa
https://doi.org/10.1016/s0378-7796(00)00117-6
https://doi.org/10.1016/s0378-7796(00)00117-6