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Peer-to-peer trading in energy networks is expected to be exclusivelyconducted by the prosumers of the network with negligible influence from thegrid. This raises the critical question: how can enough prosumers be encouragedto participate in peer-to-peer trading so as to make its operation sustainableand beneficial to the overall electricity network? To this end, this paperproposes how a motivational psychology framework can be used effectively todesign peer-to-peer energy trading to increase user participation. To do so,first, the state-of-the-art of peer-to-peer energy trading literature isdiscussed by following a systematic classification, and gaps in existingstudies are identified. Second, a motivation psychology framework isintroduced, which consists of a number of motivational models that a prosumerneeds to satisfy before being convinced to participate in energy trading.Third, a game-theoretic peer-to-peer energy trading scheme is developed, itsrelevant properties are studied, and it is shown that the coalition amongdifferent prosumers is a stable coalition. Fourth, through numerical casestudies, it is shown that the proposed model can reduce carbon emissions by18.38% and 9.82% in a single day in Summer and Winter respectively compared toa feed-in-tariff scheme. The proposed scheme is also shown to reduce the costof energy up to 118 cents and 87 cents per day in Summer and Winterrespectively. Finally, how the outcomes of the scheme satisfy all themotivational psychology models is discussed, which subsequently shows itspotential to attract users to participate in energy trading.

A Motivational Game-Theoretic Approach for Peer-to-Peer Energy Trading in the Smart Grid