State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data
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...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Artículo |
| Lenguaje: | inglés |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | http://eprints.uanl.mx/23350/1/23350.pdf |
| _version_ | 1824416851508068352 |
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| author | Segundo Sevilla, Felix Rafael Liu, Yanli Barocio Espejo, Emilio Korba, Petr Andrade, Manuel Bellizio, Federica Bos, Jorrit Chaudhuri, Balarko Chavez, Hector Cremer, Jochen Eriksson, Robert Hamon, Camille Herrera, Miguel Huijsman, Marnick Ingram, Michael Klaar, Danny Krishnan, Venkat Mola, Jorge Netto, Marcos Paolone, Mario Papadopoulos, Panagiotis Ramirez, Miguel Rueda, Jose Sattinger, Walter Terzija, Vladimir Tindemans, Simon Trigueros, Alberto Wang, Yajun Zhao, Junbo |
| author_facet | Segundo Sevilla, Felix Rafael Liu, Yanli Barocio Espejo, Emilio Korba, Petr Andrade, Manuel Bellizio, Federica Bos, Jorrit Chaudhuri, Balarko Chavez, Hector Cremer, Jochen Eriksson, Robert Hamon, Camille Herrera, Miguel Huijsman, Marnick Ingram, Michael Klaar, Danny Krishnan, Venkat Mola, Jorge Netto, Marcos Paolone, Mario Papadopoulos, Panagiotis Ramirez, Miguel Rueda, Jose Sattinger, Walter Terzija, Vladimir Tindemans, Simon Trigueros, Alberto Wang, Yajun Zhao, Junbo |
| author_sort | Segundo Sevilla, Felix Rafael |
| collection | Repositorio Institucional |
| description | 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. |
| format | Article |
| id | eprints-23350 |
| institution | UANL |
| language | English |
| publishDate | 2022 |
| record_format | eprints |
| spelling | eprints-233502024-12-09T17:34:24Z http://eprints.uanl.mx/23350/ State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data Segundo Sevilla, Felix Rafael Liu, Yanli Barocio Espejo, Emilio Korba, Petr Andrade, Manuel Bellizio, Federica Bos, Jorrit Chaudhuri, Balarko Chavez, Hector Cremer, Jochen Eriksson, Robert Hamon, Camille Herrera, Miguel Huijsman, Marnick Ingram, Michael Klaar, Danny Krishnan, Venkat Mola, Jorge Netto, Marcos Paolone, Mario Papadopoulos, Panagiotis Ramirez, Miguel Rueda, Jose Sattinger, Walter Terzija, Vladimir Tindemans, Simon Trigueros, Alberto Wang, Yajun Zhao, Junbo TJ Ingeniería Mecánica 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. 2022 Article PeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/23350/1/23350.pdf http://eprints.uanl.mx/23350/1.haspreviewThumbnailVersion/23350.pdf Segundo Sevilla, Felix Rafael y Liu, Yanli y Barocio Espejo, Emilio y Korba, Petr y Andrade, Manuel y Bellizio, Federica y Bos, Jorrit y Chaudhuri, Balarko y Chavez, Hector y Cremer, Jochen y Eriksson, Robert y Hamon, Camille y Herrera, Miguel y Huijsman, Marnick y Ingram, Michael y Klaar, Danny y Krishnan, Venkat y Mola, Jorge y Netto, Marcos y Paolone, Mario y Papadopoulos, Panagiotis y Ramirez, Miguel y Rueda, Jose y Sattinger, Walter y Terzija, Vladimir y Tindemans, Simon y Trigueros, Alberto y Wang, Yajun y Zhao, Junbo (2022) State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data. International journal of electrical power & energy systems, 137. p. 107772. ISSN 0142-0615 http://doi.org/10.1016/j.ijepes.2021.107772 doi:10.1016/j.ijepes.2021.107772 |
| spellingShingle | TJ Ingeniería Mecánica Segundo Sevilla, Felix Rafael Liu, Yanli Barocio Espejo, Emilio Korba, Petr Andrade, Manuel Bellizio, Federica Bos, Jorrit Chaudhuri, Balarko Chavez, Hector Cremer, Jochen Eriksson, Robert Hamon, Camille Herrera, Miguel Huijsman, Marnick Ingram, Michael Klaar, Danny Krishnan, Venkat Mola, Jorge Netto, Marcos Paolone, Mario Papadopoulos, Panagiotis Ramirez, Miguel Rueda, Jose Sattinger, Walter Terzija, Vladimir Tindemans, Simon Trigueros, Alberto Wang, Yajun Zhao, Junbo State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data |
| thumbnail | https://rediab.uanl.mx/themes/sandal5/images/online.png |
| 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 |
| title_full | State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data |
| title_fullStr | State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data |
| title_full_unstemmed | State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data |
| title_short | State-of-the-art of data collection, analytics, and future needs of transmission utilities worldwide to account for the continuous growth of sensing data |
| title_sort | state of the art of data collection analytics and future needs of transmission utilities worldwide to account for the continuous growth of sensing data |
| topic | TJ Ingeniería Mecánica |
| url | http://eprints.uanl.mx/23350/1/23350.pdf |
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