  Peer-to-peer trading in energy networks is expected to be exclusively
conducted by the prosumers of the network with negligible influence from the
grid. This raises the critical question: how can enough prosumers be encouraged
to participate in peer-to-peer trading so as to make its operation sustainable
and beneficial to the overall electricity network? To this end, this paper
proposes how a motivational psychology framework can be used effectively to
design 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 is
discussed by following a systematic classification, and gaps in existing
studies are identified. Second, a motivation psychology framework is
introduced, which consists of a number of motivational models that a prosumer
needs to satisfy before being convinced to participate in energy trading.
Third, a game-theoretic peer-to-peer energy trading scheme is developed, its
relevant properties are studied, and it is shown that the coalition among
different prosumers is a stable coalition. Fourth, through numerical case
studies, it is shown that the proposed model can reduce carbon emissions by
18.38% and 9.82% in a single day in Summer and Winter respectively compared to
a feed-in-tariff scheme. The proposed scheme is also shown to reduce the cost
of energy up to 118 cents and 87 cents per day in Summer and Winter
respectively. Finally, how the outcomes of the scheme satisfy all the
motivational psychology models is discussed, which subsequently shows its
potential to attract users to participate in energy trading.
