Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach

Omar Khaled Fadhl Ali Al-Eryani, Gülgün Kayakutlu*, Zeynep Bektas, M. Özgür Kayalica

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Özet

This study explores how grid technology can help improve oil fields’ power distribution using a fuzzy multi-criteria decision-making approach. The study compares different grid technologies based on multiple criteria, such as technical feasibility, economic viability, environmental impact, social acceptance, and regulatory compliance. The fuzzy TOPSIS method is used because it can effectively handle both crisp and fuzzy data, as well as linguistic and numerical values. After obtaining a ranking of alternatives, the study also conducts a sensitivity analysis and a robustness check to validate the results. The results show that the hybrid grid is the most preferred option for oil fields’ power distribution, followed by the smart grid, the microgrid, the nano grid, and the conventional grid. This implies that integrating different grid technologies can provide more benefits and advantages than using a single grid technology. The study provides some implications and recommendations for oil fields to adopt or integrate different grid technologies to enhance their power systems and operations.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıArtificial Intelligence. ECAI 2023 International Workshops - XAI^3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI 2023, Proceedings
EditörlerSławomir Nowaczyk, Przemysław Biecek, Neo Christopher Chung, Mauro Vallati, Paweł Skruch, Joanna Jaworek-Korjakowska, Simon Parkinson, Alexandros Nikitas, Martin Atzmüller, Tomáš Kliegr, Ute Schmid, Szymon Bobek, Nada Lavrac, Marieke Peeters, Roland van Dierendonck, Saskia Robben, Eunika Mercier-Laurent, Gülgün Kayakutlu, Mieczyslaw Lech Owoc, Karl Mason, Abdul Wahid, Pierangela Bruno, Francesco Calimeri, Francesco Cauteruccio, Giorgio Terracina, Diedrich Wolter, Jochen L. Leidner, Michael Kohlhase, Vania Dimitrova
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar187-193
Sayfa sayısı7
ISBN (Basılı)9783031504846
DOI'lar
Yayın durumuYayınlandı - 2024
EtkinlikInternational Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023 - Kraków, Poland
Süre: 30 Eyl 20234 Eki 2023

Yayın serisi

AdıCommunications in Computer and Information Science
Hacim1948 CCIS
ISSN (Basılı)1865-0929
ISSN (Elektronik)1865-0937

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???event.eventtypes.event.conference???International Workshops of the 26th European Conference on Artificial Intelligence, ECAI 2023
Ülke/BölgePoland
ŞehirKraków
Periyot30/09/234/10/23

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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

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