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A Real-Time Simulation for P2P Energy Trading Using a Distributed Algorithm
FinEst Centre for Smart Cities, Tallinn University of Technology, Ehitajate tee 5, Tallinn, Estonia.ORCID iD: 0000-0002-0505-3553
FinEst Centre for Smart Cities, Tallinn University of Technology, Ehitajate tee 5, Tallinn, Estonia.
FinEst Centre for Smart Cities, Tallinn University of Technology, Ehitajate tee 5, Tallinn, Estonia.ORCID iD: 0000-0002-6485-1037
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-6888-1786
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2024 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 12Article in journal (Refereed) Published
Abstract [en]

Increasing the deployment of Renewable Energy Resources (RES) , along with innovations in Information and Communication Technologies (ICT), would allow prosumers to engage in the energy market and trade their excess energy with each other and with the main grid. To ensure an efficient and safe operation of energy trading, the Peer-to-Peer (P2P) energy trading approach has emerged as a viable paradigm to provide the necessary flexibility and coordinate the energy sharing between a pair of prosumers. The P2P approach is based on the concept of decentralized energy trading between prosumers (i.e., production capabilities or energy consumers). However, security protection and real-time transaction issues in the P2P market present serious challenges. In this paper, we propose a decentralized P2P energy trading approach for the energy market with high penetration of RE. First, the P2P energy market platform proposed coordinating the energy trading between energy providers and consumers to maximize their social welfare. A distributed algorithm is applied to solve the market-clearing problem based on the Alternating Direction Method of Multipliers (ADMM). In this way, the computational complexity can be reduced. Furthermore, a P2P Manager (P2PM) utility is introduced as an entity to solve the synchronization problem between peers during the market clearing. Finally, through a real-time application using Hardware-In-the-Loop (HIL), the effectiveness of the proposed P2PM is verified in terms of synchronizing the market participants and improving the power transaction. 

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2024. Vol. 12
Keywords [en]
Alternating Direction Method of Multipliers, Biological system modeling, Distributed Algorithm, Distributed algorithms, Distributed processing, Energy consumption, Energy management, Energy Market, Energy Trading, Microgrids, Optimization, Peer-to-Peer, Peer-to-peer computing, Power markets, Real-time systems, Synchronization
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-66301DOI: 10.1109/access.2024.3369899ISI: 001193645000001Scopus ID: 2-s2.0-85186989500OAI: oai:DiVA.org:mdh-66301DiVA, id: diva2:1846240
Available from: 2024-03-21 Created: 2024-03-21 Last updated: 2024-05-15Bibliographically approved

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Zidane, Tekai Eddine Khalil

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Zahraoui, YounesRosin, ArgoZidane, Tekai Eddine KhalilMekhilef, Saad
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