Use of Distribution Network Topological Fractality and Sunburst Charts in the Online Risk Assessment

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorDep. of Electrical and Computer Engineering-
Autor(es): dc.creatorLeite, Jonatas B. [UNESP]-
Autor(es): dc.creatorMantovani, Jose R. S. [UNESP]-
Autor(es): dc.creatorKezunovic, Mladen-
Data de aceite: dc.date.accessioned2022-02-22T00:33:20Z-
Data de disponibilização: dc.date.available2022-02-22T00:33:20Z-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2020-12-11-
Data de envio: dc.date.issued2019-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/ISGT-LA.2019.8895339-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/201361-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/201361-
Descrição: dc.descriptionThe integration of outage records, historical weather information and fault management events are used in a risk-based GIS driven proactive management tool. It enables the operator to visualize the hourly risk prediction by the graphical representation of the feeder section with a color to each corresponding risk level. The addition of daily hours to the set of spatial coordinates is well suited to perform online risk mitigation but also increases the visualization complexity. Outputs from the risk assessment must be simple and very informative to promote fast action by control center operators. The simplification step is to use a fractal network approach, which allows the use the box-counting method and the renormalization process where a distribution network is collapsed to one node. This simple node can aggregate information of the whole network by using a circle diagram in form of sunburst chart for dynamic visualization and navigation. The effectively of the designed visualization tool is evaluated under electricity networks from a real-world distribution system.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionSão Paulo State University - UNESP Dep. of Electrical Engineering-
Descrição: dc.descriptionTexas AM University Dep. of Electrical and Computer Engineering-
Descrição: dc.descriptionSão Paulo State University - UNESP Dep. of Electrical Engineering-
Descrição: dc.descriptionCNPq: 305318/2016-0-
Idioma: dc.languageen-
Relação: dc.relation2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectfractality-
Palavras-chave: dc.subjectgeographic information systems-
Palavras-chave: dc.subjectpower distribution networks-
Palavras-chave: dc.subjectrenormalization-
Palavras-chave: dc.subjectsunburst-
Título: dc.titleUse of Distribution Network Topological Fractality and Sunburst Charts in the Online Risk Assessment-
Aparece nas coleções:Repositório Institucional - Unesp

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