Guest Editorial: Advanced data-analytics for power system operation, control and enhanced situational awareness

Yan Xu, Stephen McArthur, Di Shi, Spyros Chatzivasileiadis, Zhaoyu Wang, Xue Feng, Qiuhua Huang

Research output: Contribution to journalEditorialResearchpeer-review

Abstract

Along with the smart grid development, modern power systems are entering a ‘data-intensive’ era. A vast volume of data from power grids is being collected through advanced sensing and communication technologies, such as smart metering data, phasor measurement data, as well as meteorological data (e.g., wind speed and solar irradiance) related to renewable power generation.
Such data contains comprehensive information about the power system covering equipment's health status, power grid's static and dynamic characteristics, renewable power generation, customers’ electricity usage pattern, etc. Therefore, advanced data-analytics techniques are needed to convert such data to knowledge for practical applications.
In line with the trend of widespread data-driven applications in power systems, this Special Issue aims to present state-of-the-art research works on advanced data-analytics for power system's operation, control, and situational awareness. There are in total twenty-six papers accepted for publication in this Special Issue through careful peer reviews and revisions. Under the overarching theme of data-driven applications in power systems, the selected papers are broadly categorised into five topics. The summary of every topic is given below. You are, however, strongly encouraged to read the full paper if interested.

Original languageEnglish
JournalIET Generation, Transmission & Distribution
Volume14
Issue number24
Pages (from-to)5699 – 5703
ISSN1751-8687
DOIs
Publication statusPublished - 2021

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