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Electricity trading among multiple microgrids often involves bounded rationality， manifested by varying preferences for losses， uncertainties， and short to long-term returns. This paper proposes a strategy for electricity trading among multiple microgrids considering bounded rationality， drawing on time preference theory and prospect theory. To maximize the revenue for all microgrids， their operators， taking a leading role， determine transaction prices to incentivize cooperative trading among microgrids. Microgrids， acting as followers， formulate a trading strategy while ensuring the maximization of their prospect values of time preference. A case analysis demonstrates that this strategy allows for the swift determination of transaction prices among microgrids， effectively enhancing overall microgrid revenue and the utilization rate of DG （distributed generation）.