Semantic integration of IEC 60870 into CIM

Penya, Yoseba K.; Pena, Aitor; Esteban, Oihane Kamara

doi:10.1109/smartgridcomm.2011.6102360

Cited by 7 publications

(2 citation statements)

References 23 publications

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“…Prav tako je definiran UML podatkovni model električnega omrežja za CIM (Common Information Model), ki je razširjen na ustrezne protokole in kombiniran z ontologijami drugih protokolov za doseganje interoperabilnosti. V prispevku je poudarek na standardu IEC 60870 [6], kjer v večini primerov izvajajo preslikavo podatkov le za doseganje interoperabilnosti. Predstavili so pristop uporabe SPARQL za merilne naprave, ki ustrezajo formatu CIM.…”

Section: Izmenjava Pretočnih Podatkov V Formatu Cimunclassified

Delovni okvir za pretočne podatke s standardom Common Information Model (CIM)

Savinek

Kukar

2021

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Napredno merjenje električne energije je tehnična rešitev za avtomatiziran obračun električne energije. Pametno omrežje je zgolj paradigma, kjer je električno omrežje z njegovimi uporabniki povezano z rešitvami informacijskih in komunikacijskih tehnologij za izboljšanje vseh funkcionalnosti omrežja. Za doseganje tega, je potrebno uporabiti razpoložljive podatke merilnih naprav, senzorjev, polnilnic in drugih naprav v omrežju. Vključevanje teh podatkov predstavlja številne izzive, saj niso vse naprave povezane s tradicionalnimi sistemi zajema podatkov. Predlagani delovni okvir omogoča zajem podatkov v skoraj realnem času z ustreznim komunikacijskim standardom. Slednje se doseže s pretvorbo podatkov v skladu s standardi za merjenje električne energije na podlagi XSD sheme in transformacije podatkov v formatu CIM. Dognali smo, da s predlaganim delovnim okvirjem čas intervala od zajema, transformiranja do končne razpoložljivosti, je štirikrat učinkovitejši od obstoječih.

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Section: Izmenjava Pretočnih Podatkov V Formatu Cimunclassified

Delovni okvir za pretočne podatke s standardom Common Information Model (CIM)

Savinek

Kukar

2021

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“…Normalmente, a informação é coletada de diferentes dispositivos, que podem utilizar diferentes estruturas de dados. Esses dados precisam respeitar algumas normas de interoperabilidade para que haja integração entre dispositivos [13], [38], [39].…”

Section: Gerenciamento Da Informação E Ferramentas Avançadasunclassified

Computação em nuvem no contexto das <i>smart grids</i>: uma aplicação para auxílio à localização de faltas em sistemas de distribuição

Sousa¹

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SOUSA, Jeovane Vicente de. Cloud Computing in the Smart Grids context: An Application to Aid Fault Location in Distribution Systems. 183 p. Ph.D. Thesis -São Carlos School of Engineering, University of São Paulo, São Carlos, 2018. Cloud computing has been envisioned as the main technology capable to integrate and manage many systems on a Smart Grid. Thus, this research aims to develop a cloud computing infrastructure to store and manipulate smart distribution system data. By analyzing the infrastructure of the main applications using cloud computing for smart distribution systems, an extensible architecture with essential services was proposed to host smart distribution systems services and applications. Based on this proposition, a cloud computing platform was developed using open source tools. A new application to reduce multiple estimation for fault location in radial distribution systems using datamining techniques over smart meter data was implemented using this infrastructure. An optimized version of the datamining tool known as DAMICORE (Data Mining of Code Repositories) was implemented as an extension to the proposed architecture basic services. The new cloud application was tested using hundreds of fault simulations through a test feeder, being able to reduce the line extensions with multiple estimation by more than 80% in the simulated fault cases. The results show that the proposed cloud computing architecture and infrastructure enable new smart distribution systems applications, contributing to the development of smart grids and diffusion of cloud computing in this context. As an additional contribution, the cloud application developed will help to reduce the multiple estimation for fault locations in distribution systems.

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