Resilient Energy Hub Management: A Consensus-Based Approach for Lossy Communication Networks

A distributed consensus strategy is presented in this paper to address the energy hub (EH) dispatch problem in the context of packet loss and EH uncertainty. This approach was motivated by the difficulty of concentrated energy management approaches and massive amounts of data that were exchanged, which also included a problem with packet loss. Each unit of generation and consumption is responsible for computing power generation, load, and mismatches, and the coordination of energy nodes is controlled in a decentralized manner. Workload sharing, robustness, effective decision-making, rapid convergence, and node autonomy are some of the benefits that can be gained from utilizing this distributed technique. The basic objective, which is applicable to both connected and isolated grids, is to accomplish the reduction of operational costs and emissions while simultaneously satisfying demand and operating within system restrictions. Significant gains are demonstrated by two case studies with the presences packet loss and without packet loss. These studies show that there is a reduction of power mismatch by one hundred percent for the electricity grid, 99.96 percent for heating, and 99.95 % for gas. A further decrease of 13.27% was seen in overall operating expenses, while a 30.37% reduction was seen in total emissions.

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Published
2024-12-17
DOI
https://doi.org/10.1109/mepcon63025.2024.10850340
Primary Topic
Smart Grid Security and Resilience
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article
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article

Resilient Energy Hub Management: A Consensus-Based Approach for Lossy Communication Networks

Bishoy E. Sedhom, Magda I. El-Afifi, Abdelfattah A. Eladl, Samaa F. Osman
Smart Grid Security and Resilience
article

Resilient Energy Hub Management: A Consensus-Based Approach for Lossy Communication Networks

Bishoy E. Sedhom, Magda I. El-Afifi, Abdelfattah A. Eladl, Samaa F. Osman
article en

Abstract

A distributed consensus strategy is presented in this paper to address the energy hub (EH) dispatch problem in the context of packet loss and EH uncertainty. This approach was motivated by the difficulty of concentrated energy management approaches and massive amounts of data that were exchanged, which also included a problem with packet loss. Each unit of generation and consumption is responsible for computing power generation, load, and mismatches, and the coordination of energy nodes is controlled in a decentralized manner. Workload sharing, robustness, effective decision-making, rapid convergence, and node autonomy are some of the benefits that can be gained from utilizing this distributed technique. The basic objective, which is applicable to both connected and isolated grids, is to accomplish the reduction of operational costs and emissions while simultaneously satisfying demand and operating within system restrictions. Significant gains are demonstrated by two case studies with the presences packet loss and without packet loss. These studies show that there is a reduction of power mismatch by one hundred percent for the electricity grid, 99.96 percent for heating, and 99.95 % for gas. A further decrease of 13.27% was seen in overall operating expenses, while a 30.37% reduction was seen in total emissions.

Mansoura University (EG)
Affordable and clean energy
Openalex Percentile: Top 68%
Smart Grid Security and Resilience
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