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Cooperative negawatt P2P energy trading for low-voltage distribution networks

handle: 10072/414158
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.
- Griffith University Australia
- University of Queensland Australia
- University of Queensland Australia
- Griffith University Australia
Technology, Science & Technology, Energy & Fuels, Economics, Chemical, Engineering, Heterodox economics
Technology, Science & Technology, Energy & Fuels, Economics, Chemical, Engineering, Heterodox economics
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).40 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
