Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids

Assala Nacef; Lemia Louail; Djamila Mechta; Lina Benchikh; Saad Harous

doi:10.1109/ICCA59364.2023.10401668

Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids

Assala Nacef
, Lemia Louail
, Djamila Mechta
, Lina Benchikh
, Saad Harous

Department of Computer Science and Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

Technological advancements in electronics and power generation devices have led to the development of smart grids and the energy internet. Energy routing is a critical step in creating a reliable and functional energy system capable of harnessing the full potential of renewable energy. One of the major challenges in energy routing is the optimal path determination problem, which involves finding the path with the least power loss. An optimal path can alleviate network congestion and minimize energy costs for grid users. In this paper, we present an innovative path discovery protocol based on simulated annealing. We evaluate the efficiency of our protocol by comparing it to two other existing methods in the literature using simulation. The findings highlight the effectiveness of our approach in achieving optimal results for both large and small networks.

Original language	English
Title of host publication	ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings
Editors	Jihad Mohamad Alja'Am, Jihad Mohamad Alja'Am, Samir Abou Elseoud, Omar Karam
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350303254
DOIs	https://doi.org/10.1109/ICCA59364.2023.10401668
Publication status	Published - 2023
Event	5th International Conference on Computer and Applications, ICCA 2023 - Cairo, Egypt Duration: Nov 28 2023 → Nov 30 2023

Publication series

Name	ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings

Conference

Conference	5th International Conference on Computer and Applications, ICCA 2023
Country/Territory	Egypt
City	Cairo
Period	11/28/23 → 11/30/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Simulated annealing algorithm
efficient path
energy internet
energy routing
power loss
smart grid

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Media Technology
Modelling and Simulation
Education

Access to Document

10.1109/ICCA59364.2023.10401668

Cite this

Nacef, A., Louail, L., Mechta, D., Benchikh, L., & Harous, S. (2023). Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids. In J. M. Alja'Am, J. M. Alja'Am, S. A. Elseoud, & O. Karam (Eds.), ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings (ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCA59364.2023.10401668

Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids. / Nacef, Assala; Louail, Lemia; Mechta, Djamila et al.
ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings. ed. / Jihad Mohamad Alja'Am; Jihad Mohamad Alja'Am; Samir Abou Elseoud; Omar Karam. Institute of Electrical and Electronics Engineers Inc., 2023. (ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Nacef, A, Louail, L, Mechta, D, Benchikh, L & Harous, S 2023, Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids. in JM Alja'Am, JM Alja'Am, SA Elseoud & O Karam (eds), ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings. ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings, Institute of Electrical and Electronics Engineers Inc., 5th International Conference on Computer and Applications, ICCA 2023, Cairo, Egypt, 11/28/23. https://doi.org/10.1109/ICCA59364.2023.10401668

Nacef A, Louail L, Mechta D, Benchikh L, Harous S. Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids. In Alja'Am JM, Alja'Am JM, Elseoud SA, Karam O, editors, ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings). doi: 10.1109/ICCA59364.2023.10401668

Nacef, Assala ; Louail, Lemia ; Mechta, Djamila et al. / Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids. ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings. editor / Jihad Mohamad Alja'Am ; Jihad Mohamad Alja'Am ; Samir Abou Elseoud ; Omar Karam. Institute of Electrical and Electronics Engineers Inc., 2023. (ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings).

@inproceedings{a46e18ee87ce4467adbc3780165f0242,

title = "Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids",

abstract = "Technological advancements in electronics and power generation devices have led to the development of smart grids and the energy internet. Energy routing is a critical step in creating a reliable and functional energy system capable of harnessing the full potential of renewable energy. One of the major challenges in energy routing is the optimal path determination problem, which involves finding the path with the least power loss. An optimal path can alleviate network congestion and minimize energy costs for grid users. In this paper, we present an innovative path discovery protocol based on simulated annealing. We evaluate the efficiency of our protocol by comparing it to two other existing methods in the literature using simulation. The findings highlight the effectiveness of our approach in achieving optimal results for both large and small networks.",

keywords = "Simulated annealing algorithm, efficient path, energy internet, energy routing, power loss, smart grid",

author = "Assala Nacef and Lemia Louail and Djamila Mechta and Lina Benchikh and Saad Harous",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 5th International Conference on Computer and Applications, ICCA 2023 ; Conference date: 28-11-2023 Through 30-11-2023",

year = "2023",

doi = "10.1109/ICCA59364.2023.10401668",

language = "English",

series = "ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Alja'Am, \{Jihad Mohamad\} and Alja'Am, \{Jihad Mohamad\} and Elseoud, \{Samir Abou\} and Omar Karam",

booktitle = "ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings",

}

TY - GEN

T1 - Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids

AU - Nacef, Assala

AU - Louail, Lemia

AU - Mechta, Djamila

AU - Benchikh, Lina

AU - Harous, Saad

PY - 2023

Y1 - 2023

N2 - Technological advancements in electronics and power generation devices have led to the development of smart grids and the energy internet. Energy routing is a critical step in creating a reliable and functional energy system capable of harnessing the full potential of renewable energy. One of the major challenges in energy routing is the optimal path determination problem, which involves finding the path with the least power loss. An optimal path can alleviate network congestion and minimize energy costs for grid users. In this paper, we present an innovative path discovery protocol based on simulated annealing. We evaluate the efficiency of our protocol by comparing it to two other existing methods in the literature using simulation. The findings highlight the effectiveness of our approach in achieving optimal results for both large and small networks.

AB - Technological advancements in electronics and power generation devices have led to the development of smart grids and the energy internet. Energy routing is a critical step in creating a reliable and functional energy system capable of harnessing the full potential of renewable energy. One of the major challenges in energy routing is the optimal path determination problem, which involves finding the path with the least power loss. An optimal path can alleviate network congestion and minimize energy costs for grid users. In this paper, we present an innovative path discovery protocol based on simulated annealing. We evaluate the efficiency of our protocol by comparing it to two other existing methods in the literature using simulation. The findings highlight the effectiveness of our approach in achieving optimal results for both large and small networks.

KW - Simulated annealing algorithm

KW - efficient path

KW - energy internet

KW - energy routing

KW - power loss

KW - smart grid

UR - https://www.scopus.com/pages/publications/85185200630

UR - https://www.scopus.com/pages/publications/85185200630#tab=citedBy

U2 - 10.1109/ICCA59364.2023.10401668

DO - 10.1109/ICCA59364.2023.10401668

M3 - Conference contribution

AN - SCOPUS:85185200630

T3 - ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings

BT - ICCA 2023 - 2023 5th International Conference on Computer and Applications, Proceedings

A2 - Alja'Am, Jihad Mohamad

A2 - Elseoud, Samir Abou

A2 - Karam, Omar

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th International Conference on Computer and Applications, ICCA 2023

Y2 - 28 November 2023 through 30 November 2023

ER -

Simulated Annealing for Optimal Path Selection and Scheduling in Energy Routing for Smart Grids

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this