Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-23774
Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data
Authors: Segundo Sevilla, Felix Rafael
Liu, Yanli
Barocio, Emilio
Korba, Petr
Ramirez, Miguel
et. al: Yes
DOI: 10.1016/j.ijepes.2021.107772
10.21256/zhaw-23774
Published in: International Journal of Electrical Power & Energy Systems
Volume(Issue): 137
Issue: 107772
Issue Date: 2021
Publisher / Ed. Institution: Elsevier
ISSN: 0142-0615
1879-3517
Language: English
Subjects: Data handling; Data analytics; Phasor measurement unit; Wide-area monitoring; System dynamic performance; Stability assessment; Transmission system operator; Grid operation and management; Survey
Subject (DDC): 621.3: Electrical, communications, control engineering
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.
URI: https://digitalcollection.zhaw.ch/handle/11475/23774
Fulltext version: Published version
License (according to publishing contract): CC BY 4.0: Attribution 4.0 International
Departement: School of Engineering
Organisational Unit: Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:Publikationen School of Engineering

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