TY - JOUR
T1 - State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data
AU - Segundo Sevilla, Felix Rafael
AU - Liu, Yanli
AU - Barocio, Emilio
AU - Korba, Petr
AU - Andrade, Manuel
AU - Bellizio, Federica
AU - Bos, Jorrit
AU - Chaudhuri, Balarko
AU - Chavez, Hector
AU - Cremer, Jochen
AU - Eriksson, Robert
AU - Hamon, Camille
AU - Herrera, Miguel
AU - Huijsman, Marnick
AU - Ingram, Michael
AU - Klaar, Danny
AU - Krishnan, Venkat
AU - Mola, Jorge
AU - Netto, Marcos
AU - Paolone, Mario
AU - Papadopoulos, Panagiotis
AU - Ramirez, Miguel
AU - Rueda, Jose
AU - Sattinger, Walter
AU - Terzija, Vladimir
AU - Tindemans, Simon
AU - Trigueros, Alberto
AU - Wang, Yajun
AU - Zhao, Junbo
PY - 2022/5/31
Y1 - 2022/5/31
N2 - 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.
AB - 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.
KW - data analytics
KW - data handling
KW - grid operation and management
KW - phasor measurement units
KW - stability assessment
KW - survey
KW - system dynamic performance
KW - transmission system operator
KW - wide-area monitoring
U2 - 10.1016/j.ijepes.2021.107772
DO - 10.1016/j.ijepes.2021.107772
M3 - Article
AN - SCOPUS:85118986667
SN - 0142-0615
VL - 137
JO - International Journal of Electrical Power and Energy Systems
JF - International Journal of Electrical Power and Energy Systems
M1 - 107772
ER -