A Decentralized Bilateral Energy Trading System for Peer-to-Peer Electricity Markets

Increase in the deployment of distributed energy resources (DERs) has triggered a new trend to redesign electricity markets as consumer-centric markets relying on peer-to-peer (P2P) approaches. In the P2P markets, players can directly negotiate under bilateral energy trading to match demand and supp...

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Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 67; číslo 6; s. 4646 - 4657
Hlavní autoři:	Khorasany, Mohsen, Mishra, Yateendra, Ledwich, Gerard
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.06.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Bilateral trading Computer simulation Convergence Convex functions Data exchange decartelized market Distributed generation Electricity Electricity consumption Electricity supply industry Energy Energy sources Gradient methods market framework design Peer to peer computing peer-to-peer (P2P) Players Power marketers Product differentiation Redesign Resource management Supply & demand
ISSN:	0278-0046, 1557-9948
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Abstract	Increase in the deployment of distributed energy resources (DERs) has triggered a new trend to redesign electricity markets as consumer-centric markets relying on peer-to-peer (P2P) approaches. In the P2P markets, players can directly negotiate under bilateral energy trading to match demand and supply. The trading scheme should be designed adequately to incentivise players to participate in the trading process actively. This article proposes a decentralized P2P energy trading scheme for electricity markets with high penetration of DERs. A novel algorithm using primal-dual gradient method is described to clear the market in a fully decentralized manner without interaction of any central entity. Also, to incorporate technical constraints in the energy trading, line flow constraints are modeled in the bilateral energy trading to avoid overloaded or congested lines in the system. This market structure respects market players' preferences by allowing bilateral energy trading with product differentiation. The performance of the proposed method is evaluated using simulation studies, and it is found that market players can trade energy to maximize their welfare without violating line flow constraints. Also, compared with other similar methods for P2P trading, the proposed approach needs lower data exchange and has a faster convergence.
AbstractList	Increase in the deployment of distributed energy resources (DERs) has triggered a new trend to redesign electricity markets as consumer-centric markets relying on peer-to-peer (P2P) approaches. In the P2P markets, players can directly negotiate under bilateral energy trading to match demand and supply. The trading scheme should be designed adequately to incentivise players to participate in the trading process actively. This article proposes a decentralized P2P energy trading scheme for electricity markets with high penetration of DERs. A novel algorithm using primal-dual gradient method is described to clear the market in a fully decentralized manner without interaction of any central entity. Also, to incorporate technical constraints in the energy trading, line flow constraints are modeled in the bilateral energy trading to avoid overloaded or congested lines in the system. This market structure respects market players' preferences by allowing bilateral energy trading with product differentiation. The performance of the proposed method is evaluated using simulation studies, and it is found that market players can trade energy to maximize their welfare without violating line flow constraints. Also, compared with other similar methods for P2P trading, the proposed approach needs lower data exchange and has a faster convergence.
Author	Khorasany, Mohsen Mishra, Yateendra Ledwich, Gerard
Author_xml	– sequence: 1 givenname: Mohsen orcidid: 0000-0002-1444-5970 surname: Khorasany fullname: Khorasany, Mohsen email: m.khorasany@ieee.org organization: School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD, Australia – sequence: 2 givenname: Yateendra orcidid: 0000-0002-4592-2784 surname: Mishra fullname: Mishra, Yateendra email: yateendra.mishra@qut.edu.au organization: School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD, Australia – sequence: 3 givenname: Gerard orcidid: 0000-0001-7474-0309 surname: Ledwich fullname: Ledwich, Gerard email: g.ledwich@qut.edu.au organization: School of Electrical Engineering and Computer Science, Queensland University of Technology, Brisbane, QLD, Australia
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Snippet	Increase in the deployment of distributed energy resources (DERs) has triggered a new trend to redesign electricity markets as consumer-centric markets relying...
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SubjectTerms	Algorithms Bilateral trading Computer simulation Convergence Convex functions Data exchange decartelized market Distributed generation Electricity Electricity consumption Electricity supply industry Energy Energy sources Gradient methods market framework design Peer to peer computing peer-to-peer (P2P) Players Power marketers Product differentiation Redesign Resource management Supply & demand
Title	A Decentralized Bilateral Energy Trading System for Peer-to-Peer Electricity Markets
URI	https://ieeexplore.ieee.org/document/8782819 https://www.proquest.com/docview/2358911584
Volume	67
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