TY - JOUR
T1 - A comparative study of energy routing algorithms to optimize energy transmission in energy internet
AU - Hebal, Sara
AU - Mechta, Djamila
AU - Harous, Saad
AU - Louail, Lemia
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024/9
Y1 - 2024/9
N2 - The growing depletion of fossil fuels has led to the use of distributed renewable energy sources. This shift has altered the grid structure from centralized to distributed, where energy flows from multiple sources through multiple paths, besides producing a more competitive and dynamic energy market, posing new problems to power system management. To tackle the issue of effectively utilizing renewable energy sources, the energy internet (EI) was developed, in which devices are connected by energy routers. Therefore, efficiently transmitting energy within the EI has become a prominent topic in research. Despite the existence of algorithms and reviews in the literature on energy routing, there is still a lack of a thorough and comprehensive comparison of these existing algorithms. This paper classifies current energy routers and discusses and categorizes energy routing algorithms based on their methods. Additionally, the paper conducts extensive simulations to compare several energy routing algorithms in detail.
AB - The growing depletion of fossil fuels has led to the use of distributed renewable energy sources. This shift has altered the grid structure from centralized to distributed, where energy flows from multiple sources through multiple paths, besides producing a more competitive and dynamic energy market, posing new problems to power system management. To tackle the issue of effectively utilizing renewable energy sources, the energy internet (EI) was developed, in which devices are connected by energy routers. Therefore, efficiently transmitting energy within the EI has become a prominent topic in research. Despite the existence of algorithms and reviews in the literature on energy routing, there is still a lack of a thorough and comprehensive comparison of these existing algorithms. This paper classifies current energy routers and discusses and categorizes energy routing algorithms based on their methods. Additionally, the paper conducts extensive simulations to compare several energy routing algorithms in detail.
KW - Energy internet
KW - Energy router
KW - Energy routing problem
KW - Energy-efficient path
KW - Subscriber matching
KW - Transmission scheduling
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U2 - 10.1007/s11227-024-06203-9
DO - 10.1007/s11227-024-06203-9
M3 - Article
AN - SCOPUS:85195189687
SN - 0920-8542
VL - 80
SP - 20583
EP - 20639
JO - Journal of Supercomputing
JF - Journal of Supercomputing
IS - 14
ER -