Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism

The integration of distributed energy storage systems into multienergy systems has garnered significant attention due to the increased use of renewable energy sources and the demand for improved energy management. This study explores the concept of multienergy coupling by facilitating energy storage...

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Main Authors: Zeynep Tanis, Ali Durusu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10839421/
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author Zeynep Tanis
Ali Durusu
author_facet Zeynep Tanis
Ali Durusu
author_sort Zeynep Tanis
collection DOAJ
description The integration of distributed energy storage systems into multienergy systems has garnered significant attention due to the increased use of renewable energy sources and the demand for improved energy management. This study explores the concept of multienergy coupling by facilitating energy storage through a peer-to-peer marketplace. An innovative peer-to-peer market structure is proposed, supported by advanced algorithms, to enable direct energy trading among prosumers. Key challenges are addressed through a systematic methodology, encompassing user registration, multienergy systems involving electricity, heat, and gas, storage cost optimization, multienergy trading, and blockchain-based transactions. A consortium blockchain-based framework ensures secure and private registration. A peer-to-peer network facilitates multienergy trading, enabling efficient energy generation and storage. A storage virtualization model is developed to minimize storage costs, and a nonlinear programming multiobjective model optimizes battery energy storage. For multienergy trading, Nash bargaining under uncertainty is introduced, allowing participants to negotiate based on their contributions. The proposed model’s performance is benchmarked against conventional peer-to-peer energy trading and the Q-learning algorithm. Transactions are secured using blockchain-based payment systems. The implementation is carried out using Matlab-R2023b Network Simulator, and the results are evaluated using various performance metrics.
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spelling doaj-art-2fbb07e4c78940f88c072c4eb419a9252025-01-24T00:01:17ZengIEEEIEEE Access2169-35362025-01-0113120811210210.1109/ACCESS.2025.352920510839421Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market MechanismZeynep Tanis0https://orcid.org/0009-0000-6908-0246Ali Durusu1https://orcid.org/0000-0002-8749-4570Department of Electrical Engineering, Yildiz Technical University, İstanbul, TürkiyeDepartment of Electrical Engineering, Yildiz Technical University, İstanbul, TürkiyeThe integration of distributed energy storage systems into multienergy systems has garnered significant attention due to the increased use of renewable energy sources and the demand for improved energy management. This study explores the concept of multienergy coupling by facilitating energy storage through a peer-to-peer marketplace. An innovative peer-to-peer market structure is proposed, supported by advanced algorithms, to enable direct energy trading among prosumers. Key challenges are addressed through a systematic methodology, encompassing user registration, multienergy systems involving electricity, heat, and gas, storage cost optimization, multienergy trading, and blockchain-based transactions. A consortium blockchain-based framework ensures secure and private registration. A peer-to-peer network facilitates multienergy trading, enabling efficient energy generation and storage. A storage virtualization model is developed to minimize storage costs, and a nonlinear programming multiobjective model optimizes battery energy storage. For multienergy trading, Nash bargaining under uncertainty is introduced, allowing participants to negotiate based on their contributions. The proposed model’s performance is benchmarked against conventional peer-to-peer energy trading and the Q-learning algorithm. Transactions are secured using blockchain-based payment systems. The implementation is carried out using Matlab-R2023b Network Simulator, and the results are evaluated using various performance metrics.https://ieeexplore.ieee.org/document/10839421/Distributed energy storage systemsmarket-based consortium blockchainmultienergy couplingNash bargainingpeer-to-peerstorage virtualization model
spellingShingle Zeynep Tanis
Ali Durusu
Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism
IEEE Access
Distributed energy storage systems
market-based consortium blockchain
multienergy coupling
Nash bargaining
peer-to-peer
storage virtualization model
title Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism
title_full Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism
title_fullStr Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism
title_full_unstemmed Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism
title_short Cooperative Behaviors and Multienergy Coupling Through Distributed Energy Storage in the Peer-to-Peer Market Mechanism
title_sort cooperative behaviors and multienergy coupling through distributed energy storage in the peer to peer market mechanism
topic Distributed energy storage systems
market-based consortium blockchain
multienergy coupling
Nash bargaining
peer-to-peer
storage virtualization model
url https://ieeexplore.ieee.org/document/10839421/
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