Human is the main decision-maker in a Peer-to-Peer (P2P) energy trading problem. Modeling a decision maker’s monetary mental view in P2P experiences is a crucial issue. An end-user that participates in P2P trading is faced with a set of probable scenarios. Decision weight factors assigned by end-users to the scenarios considering risk-aversion attitude are to be implemented in P2P trading. To this end, applying the prospect theory is proposed in this paper. Referring to some psychological studies, it is assumed that the value of prospected income for a P2P problem tends to be reduced based upon the time. In this regard, we modify the prospect theory considering time discount impact in the value function while it is applied to the proposed P2P trading model. The results show that the proposed method can increase the satisfaction of end-users with a minor negative impact on expected profit. Moreover, the important role of the mental time discount effect on the P2P energy trading problem is verified by the obtained results.

人类是点对点 (P2P) 能源交易问题的主要决策者。在 P2P 体验中对决策者的货币心理观点进行建模是一个关键问题。参与 P2P 交易的最终用户面临着一组可能的场景。在 P2P 交易中将实施终端用户为考虑风险规避态度的场景分配的决策权重因子。为此，本文提出应用前景理论。参考一些心理学研究，假设 P2P 问题的预期收入价值会随着时间的推移而降低。在这方面，我们修改了前景理论，同时考虑了价值函数中的时间折扣影响，同时将其应用于所提出的 P2P 交易模型。结果表明，所提出的方法可以提高最终用户的满意度，而对预期利润的负面影响很小。此外，所获得的结果验证了心理时间折扣效应对 P2P 能源交易问题的重要作用。