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State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data

Journal Article (2022)
Authors

Felix Rafael Segundo Sevilla (Zurich University of Applied Science (ZHAW))

Yanli Liu (Tianjin University)

E. Barocio (University of Guadalajara)

P. Korba (Zurich University of Applied Science (ZHAW))

Manuel A. Andrade (Universidad Autónoma de Nuevo León)

Balarko Chaudhuri (Imperial College London)

J.L. Cremer (TU Delft - Intelligent Electrical Power Grids)

José L.Rueda Rueda Torres (TU Delft - Intelligent Electrical Power Grids)

Simon Tindemans (TU Delft - Intelligent Electrical Power Grids)

G.B. More Authors (External organisation)

Research Group
Intelligent Electrical Power Grids
Copyright
© 2022 Felix Rafael Segundo Sevilla, Yanli Liu, Emilio Barocio, Petr Korba, Manuel Andrade, Balarko Chaudhuri, Jochen Cremer, José L. Rueda, Simon H. Tindemans, More Authors
To reference this document use:
https://doi.org/10.1016/j.ijepes.2021.107772
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Felix Rafael Segundo Sevilla, Yanli Liu, Emilio Barocio, Petr Korba, Manuel Andrade, Balarko Chaudhuri, Jochen Cremer, José L. Rueda, Simon H. Tindemans, More Authors
Research Group
Intelligent Electrical Power Grids
Volume number
137
Pages (from-to)
1-16
DOI:
https://doi.org/10.1016/j.ijepes.2021.107772
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Abstract

Nowadays, transmission system operators require higher degree of observability in real-time to gain situational awareness and improve the decision-making process to guarantee a safe and reliable operation. Digitalization of energy systems allows utilities to monitor the system dynamic performance in real-time at fast time scales. The use of such technologies has unlocked new opportunities to introduce new data driven algorithms for improving the stability assessment and control of the system. Motivated by these challenges, a group of experts have worked together to highlight and establish a baseline set of these common concerns, which can be used as motivation to propose innovative analytics and data-driven solutions. In this document, the results of a survey on 10 transmission system operators around the world are presented and it aims to understand the current practices of the participating companies, in terms of data acquisition, handling, storage, modelling and analytics. The overall objective of this document is to capture the actual needs from the interviewed utilities, thereby laying the groundwork for setting valid assumptions for the development of advanced algorithms in this field.