A Wasserstein metric distributionally robust chance-constrained peer aggregation energy sharing mechanism for hydrogen-based microgrids considering low-carbon drivers

Pengcheng Cai, Chuanbo Wen, Baosen Cao and Jinpeng Qiao

Energy, 2025, vol. 325, issue C

Abstract: Hydrogen-based multi-energy microgrids (H-MEMGs), serving as integrated energy systems incorporating hydrogen, electricity, thermal, and cooling energy, have emerged as pivotal infrastructures for accelerating energy transition and achieving carbon neutrality. This study proposes a novel low-carbon driven energy sharing framework with adaptive pricing mechanisms to address the critical need for balancing economic viability and environmental sustainability. The proposed framework establishes three key contributions: 1) A non-cooperative game-theoretic foundation enabling peer-to-peer energy transactions with carbon-embedded pricing signals, 2) A privacy-preserving coordination mechanism through a virtual energy sharing center that facilitates iterative information exchange while protecting sensitive operational data, and 3) A data-driven distributionally robust optimization model employing Wasserstein metrics and conditional value-at-risk techniques to manage renewable energy uncertainties. To ensure computational efficiency and data security, we develop a distributed algorithm based on Brouwer's fixed-point theorem that enables decentralized decision-making without compromising individual microgrid's privacy. Simulation results highlight three key advantages: a 5.04 % reduction in carbon intensity relative to conventional pricing schemes, and 6.43 % cost savings via dynamic price-responsive coordination, the data-driven distributionally robust chance-constrained (DRCC) method exhibits outstanding out-of-sample performance and strong adaptability to uncertainty. The proposed methodology provides a scalable solution for coordinating interconnected microgrids in low-carbon energy ecosystems.

Keywords: Hydrogen-based multi-energy microgrid; Distributionally robust chance-constrained; Energy trading; Uncertainty; Non-cooperative game (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544225018201
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:325:y:2025:i:c:s0360544225018201

DOI: 10.1016/j.energy.2025.136178

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().