Hierarchical Distributed Gossip Consensus Based Economic Dispatch in Networked Microgrids

The increasing demand for energy has necessitated the expansion of Distributed Energy Resources (DERs), highlighting the critical need for an effective and reliable Energy Management System (EMS). This paper introduces a novel approach to solving the economic dispatch problem in asynchronous networked microgrid systems through a hierarchical distributed gossip consensus-based method. The proposed approach combines the strengths of gossip algorithms with hierarchical consensus strategies, specifically designed to enhance efficiency in asynchronous settings. The effectiveness of this method is validated through extensive simulations, which demonstrate faster convergence times and improved system performance compared to standard distributed gossip consensus configurations. Furthermore, the Monte-Carlo simulations showcases the scalability of the proposed approach, illustrating its suitability in real-time applications.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905217
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.21
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article

Hierarchical Distributed Gossip Consensus Based Economic Dispatch in Networked Microgrids

Mo–Yuen Chow, Skieler Capezza, Ahmad ALhaji, Aditya Joshi
1 citations
Smart Grid Energy Management
0.21
article

Hierarchical Distributed Gossip Consensus Based Economic Dispatch in Networked Microgrids

Mo–Yuen Chow, Skieler Capezza, Ahmad ALhaji, Aditya Joshi
article en
1 citations

Abstract

The increasing demand for energy has necessitated the expansion of Distributed Energy Resources (DERs), highlighting the critical need for an effective and reliable Energy Management System (EMS). This paper introduces a novel approach to solving the economic dispatch problem in asynchronous networked microgrid systems through a hierarchical distributed gossip consensus-based method. The proposed approach combines the strengths of gossip algorithms with hierarchical consensus strategies, specifically designed to enhance efficiency in asynchronous settings. The effectiveness of this method is validated through extensive simulations, which demonstrate faster convergence times and improved system performance compared to standard distributed gossip consensus configurations. Furthermore, the Monte-Carlo simulations showcases the scalability of the proposed approach, illustrating its suitability in real-time applications.

North Carolina State University (US), Shanghai Jiao Tong University (CN)
Decent work and economic growth
Openalex Percentile: Top 43%
Smart Grid Energy Management
0.21
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