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Applied Energy
Article . 2021 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Cooperative negawatt P2P energy trading for low-voltage distribution networks

Authors: M. Imran Azim; Wayes Tushar; Tapan K. Saha;

Cooperative negawatt P2P energy trading for low-voltage distribution networks

Abstract

Abstract In this paper, the formation and feasibility of negawatt (nW) peer-to-peer (P2P) energy trading in a grid-connected energy network are studied. In particular, a framework is presented to introduce nW P2P trading concept in the local electricity market in order to provide cost savings to each participating prosumer. To capture the decision-making strategy of various nW prosumers, a coalition game model is proposed whereby prosumers can trade energy frequently in a collaborative way. The proposed nW P2P trading framework satisfies the beneficial criterion of the coalition game. Also, it confirms the stability and prosumer-focused feature of the structured coalition. To distribute the total coalition payoff between nW prosumers, Shapley value and Nucleolus are used. Finally, simulation results are provided to examine the effectiveness of the developed nW P2P trading on an actual distribution network. The simulation results emphasise that the proposed nW P2P trading can (1) enable prosumers to minimise notable portion of their electricity costs compared to the grid’s-facilitated demand response scheme, (2) keep total power loss and voltage profiles within permissible ranges, and (3) avoid network protection arrangements required for voltage regulation as opposed to kilowatt P2P trading.

Country
Australia
Keywords

Technology, Science & Technology, Energy & Fuels, Economics, Chemical, Engineering, Heterodox economics

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    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
40
Top 10%
Top 10%
Top 1%
Green