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Real-time web-based visualization of distribution electricity grids

Nick Jokić (2017) Real-time web-based visualization of distribution electricity grids. EngD thesis.

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    Abstract

    We live in a world where data has a major impact on everyday life. Visualization of data is an important mechanism since people much quicker and more easily understand visual interpretations than textual interpretations. An enormous value nowadays has real-time visualization, as it enables the representation of data flows from different sources as soon as they are available, allowing for prompt inspection and immediate response to anomalies. With the continuous development of distribution and smart electricity grids, the need for real-time observation of grid states is growing. Real-time observation of distribution systems is essential for effective management and ensuring smooth operation of networks in the future. In the diploma thesis we present the objectives of the European project SUNSEED and the theoretical background of distribution electricity grids. We focus on the development of a web application that offers efficient real-time visualization of data streams of various measuring devices within distribution electricity grids. Such an application enables distribution system operators to easily monitor individual systems. In the diploma thesis we deal with the problem of high-frequency real-time visualizations within a web-based application and propose different optimization techniques. We also present in greater detail the implementation of the final application, which contains many different components and functionalities.

    Item Type: Thesis (EngD thesis)
    Keywords: web interface, distribution electricity grids, real-time visualization, phasor measurement unit, state estimator, SUNSEED
    Number of Pages: 50
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    doc. dr. Aleš Smrdel281Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1537646531)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 4014
    Date Deposited: 20 Nov 2017 10:09
    Last Modified: 24 Nov 2017 13:24
    URI: http://eprints.fri.uni-lj.si/id/eprint/4014

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