Web based-BigSync: A Grid Analytics Platform including Power System Database Management | IEEE Conference Publication | IEEE Xplore

Web based-BigSync: A Grid Analytics Platform including Power System Database Management


Abstract:

This paper discusses an offline engineering analytical software named BigSync (Big Data Analytics for Synchrophasors) developed at the Indian Institute of Technology, Pal...Show More

Abstract:

This paper discusses an offline engineering analytical software named BigSync (Big Data Analytics for Synchrophasors) developed at the Indian Institute of Technology, Palakkad. The software solution enables the user to perform offline engineering analysis by leveraging various power system measurements that are stored in a relational database (RDBMS). The software package includes applications such as data visualization, statistical analysis, data de-noising and anomaly detection/cyberattack detection. This paper details the applicability of the developed software product in the energy management system (EMS) or control room of a modern power system.
Date of Conference: 13-15 December 2023
Date Added to IEEE Xplore: 14 February 2024
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Conference Location: Cox's Bazar, Bangladesh

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I. Introduction

In the domain of power system monitoring and assessment, offline engineering analysis tools have emerged as invaluable aids for a variety of crucial tasks. These tools serve diverse purposes, ranging from identifying events to confirming models, adjusting settings, ensuring adherence to regulations, and establishing reference points for different power system aspects such as angle deviations and oscillations. The significance of these tools cannot be overstated, as they form the foundation for upholding the dependability, effectiveness, and steadiness of power systems. In the pursuit of advancing power system monitoring and analysis, a notable avenue of exploration lies in creating Graphical User Interface (GUI) powered tools. Such tools have the potential to transform the accessibility and usability of intricate analytical processes by offering an intuitively visual platform for users [1], [2]. These tools come in two primary forms: those based on desktop applications [3], and those accessible through web browsers. The latter option, web-based applications, holds particular promise due to its adaptability and ease of use.

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References

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