Merging Grid Technology with Oil Fields Power Distribution: A Smart Grid Approach
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Date
2024
Authors
Al-Eryani, Omar Khaled Fadhl Ali
Bektaş, Zeynep
Kayakutlu, Gulgun
Bektas, Zeynep
Kayalica, M. Ozgur
Journal Title
Journal ISSN
Volume Title
Publisher
Springer international Publishing Ag
Open Access Color
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Abstract
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, themicrogrid, 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.
Description
Kayalica, M. Ozgur/0000-0001-9828-7385
ORCID
Keywords
Oil Fields, Power Grid, Power Distribution, Fuzzy TOPSIS, Fuzzy Decision-Making
Turkish CoHE Thesis Center URL
Fields of Science
Citation
0
WoS Q
N/A
Scopus Q
Q4
Source
26th European Conference on Artificial Intelligence (ECAI) -- SEP 30-OCT 04, 2023 -- Krakow, POLAND
Volume
1948
Issue
Start Page
187
End Page
193