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.
Published: April 16, 2021
Citation
Xu Y., S. McArthur, D. Shi, S. Chatzivasileiadis, Z. Wang, X. Fang, and Q. Huang. 2020.Guest Editorial: Advanced Data-Analytics for Power System Operation, Control, and Enhanced Situational Awareness.IET Generation, Transmission and Distribution 14, no. 24:5699-5703.PNNL-SA-161254.doi:10.1049/iet-gtd.2020.1493