Equitable Energy Trading in Microgrids to Enhance Resilience and Cost Efficiency

Conference paper

Farzane Ezzati, Gino Lim, Zhijie Sasha Dong
2025 IEEE International Communications Energy Conference (INTELEC), IEEE, 2025 29, pp. 49-54

DOI: 10.1109/INTELEC63987.2025.11214754

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APA Click to copy
Ezzati, F., Lim, G., & Dong, Z. S. (2025). Equitable Energy Trading in Microgrids to Enhance Resilience and Cost Efficiency. In 2025 IEEE International Communications Energy Conference (INTELEC) (pp. 49–54). IEEE. https://doi.org/10.1109/INTELEC63987.2025.11214754

Chicago/Turabian Click to copy
Ezzati, Farzane, Gino Lim, and Zhijie Sasha Dong. “Equitable Energy Trading in Microgrids to Enhance Resilience and Cost Efficiency.” In 2025 IEEE International Communications Energy Conference (INTELEC), 49–54. IEEE, 2025.

MLA Click to copy
Ezzati, Farzane, et al. “Equitable Energy Trading in Microgrids to Enhance Resilience and Cost Efficiency.” 2025 IEEE International Communications Energy Conference (INTELEC), IEEE, 2025, pp. 49–54, doi:10.1109/INTELEC63987.2025.11214754.

BibTeX Click to copy

@inproceedings{ezzati2025a,
  title = {Equitable Energy Trading in Microgrids to Enhance Resilience and Cost Efficiency},
  year = {2025},
  month = dec,
  day = {29},
  pages = {49-54},
  publisher = {IEEE},
  doi = {10.1109/INTELEC63987.2025.11214754},
  author = {Ezzati, Farzane and Lim, Gino and Dong, Zhijie Sasha},
  booktitle = {2025 IEEE International Communications Energy Conference (INTELEC)},
  month_numeric = {12}
}

Abstract

Energy trading among islanded community microgrids can enhance equitable resilience during outages, but its implementation is challenged by coordination and fairness challenges. This paper proposes a distributed energy trading framework that incorporates social vulnerability into market decisions, jointly optimizing traded power and prices. Fairness is achieved through voluntary trade-offs by less vulnerable communities. To ensure scalability and privacy, we reformulate the problem using a relaxed distributed optimization over a box-sphere manifold. Applied to three residential microgrids, the model improves resilience by up to 17% and reduces system costs by up to 36%, offering practical insights for resilient and equitable energy planning.

Keywords: Networked Microgrids, Energy Trading, Energy Resilience, Equity.