Peer-to-Peer Energy Trading Framework for Microgrid Community Considering Community Hybrid Energy Storage

Peer-to-peer energy trading enhances intracommunity energy utilization and economic benefits in prosumer microgrids. This paper optimizes the operation of a microgrid community with profit-driven community hybrid energy storage using the Nash bargaining framework and dynamic bidding price-based peer-to-peer energy transactions. The decentralized, privacy-preserving optimization is validated on a microgrid community having three microgrids and a community hybrid energy storage system. Results show that dynamic bidding increases social welfare by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\sim 18.16 \%$</tex> and self-consumption by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\sim 27.31 \%$</tex> compared to the absence of peer-to-peer trading.

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Published
2025-07-04
DOI
https://doi.org/10.1109/ne-iecce64154.2025.11183130
Primary Topic
Smart Grid Energy Management
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article
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article

Peer-to-Peer Energy Trading Framework for Microgrid Community Considering Community Hybrid Energy Storage

Avirup Maulik, K. A. Chinmaya, Alok Kumar
Smart Grid Energy Management
article

Peer-to-Peer Energy Trading Framework for Microgrid Community Considering Community Hybrid Energy Storage

Avirup Maulik, K. A. Chinmaya, Alok Kumar
article en

Abstract

Peer-to-peer energy trading enhances intracommunity energy utilization and economic benefits in prosumer microgrids. This paper optimizes the operation of a microgrid community with profit-driven community hybrid energy storage using the Nash bargaining framework and dynamic bidding price-based peer-to-peer energy transactions. The decentralized, privacy-preserving optimization is validated on a microgrid community having three microgrids and a community hybrid energy storage system. Results show that dynamic bidding increases social welfare by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\sim 18.16 \%$</tex> and self-consumption by <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\sim 27.31 \%$</tex> compared to the absence of peer-to-peer trading.

Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Openalex Percentile: Top 72%
Smart Grid Energy Management
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Peer-to-Peer Energy Trading Framework for Microgrid Community Considering Community Hybrid Energy Storage — Avirup Maulik, K. A. Chinmaya, et al. · (2025) | TGRS Research Map | TGRS