Cloud computing in the smart grid context: an application to aid fault location in distribution systems concerning the multiple estimation problem

Cloud computing has been envisioned as the main technology capable of integrating and managing many systems in a smart grid (SG). Thus, this research aims to develop a cloud computing infrastructure to store and manipulate smart distribution system data. To do this, extensible architecture with esse...

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Vydáno v:IET generation, transmission & distribution Ročník 13; číslo 18; s. 4222 - 4232
Hlavní autoři: de Sousa, Jeovane V, Reche, Evandro A, Coury, Denis V, Fernandes, Ricardo A.S
Médium: Journal Article
Jazyk:angličtina
Vydáno: The Institution of Engineering and Technology 17.09.2019
Témata:
advanced metering infrastructure
architecture basic services
cloud application
cloud computing
cloud computing architecture
cloud computing platform
data mining
data mining techniques
data mining tool
essential services
extensible architecture
fault location
fault simulations
main technology
multiple estimation problem
open source tools
radial distribution systems
Research Article
simulated fault cases
smart distribution system applications
smart distribution system data
smart distribution systems
smart grid context
smart meter data
smart meters
smart power grids
architecture basic services
data mining
cloud computing architecture
smart power grids
fault simulations
smart meters
data mining tool
essential services
main technology
advanced metering infrastructure
data mining techniques
cloud computing
smart meter data
multiple estimation problem
cloud application
fault location
radial distribution systems
smart distribution systems
simulated fault cases
extensible architecture
smart grid context
smart distribution system applications
cloud computing platform
smart distribution system data
open source tools
ISSN:1751-8687, 1751-8695
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Shrnutí:Cloud computing has been envisioned as the main technology capable of integrating and managing many systems in a smart grid (SG). Thus, this research aims to develop a cloud computing infrastructure to store and manipulate smart distribution system data. To do this, extensible architecture with essential services was proposed to be integrated into an advanced metering infrastructure to host new applications in smart distribution systems. 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 data mining techniques over smart meter data was implemented. An optimised version of the data mining 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 on a test feeder and was able to reduce multiple estimation by more than 90% in the simulated fault cases. The results show that the proposed cloud computing architecture and infrastructure enable new smart distribution system applications, contributing to the development of SGs and diffusion of cloud computing in this context.
ISSN:1751-8687
1751-8695
DOI:10.1049/iet-gtd.2018.6651