The invention discloses a deviation pricing method and system for avoiding strategic behaviors of wind power in a spot market, wherein the method includes: obtaining a capacity-price curve submitted by a market entity to determine a maximum available capacity in the day; performing day-to-day clearance based on capacity-price curve and system security constraints; updating the maximum available capacity according to the current moment to complete the real-time market update; performing real-time clearing based on updated maximum available capacity; according to data of benchmark new energy units in a region, estimating the actual force, and completing a post-mortem deviation test; assessing the day-to-day deviation of new energy; assessing real-time-actual deviation of the new energy; collecting and retunring penalty fees for each unit's assessment to the new energy according to the proportion of power generation, and publishing a deviation assessment result. The method punishes deviations stepwise, suppresses strategic behaviors, and at the same time motivates them to continuously improve prediction accuracy, promote the maximization of new energy consumption and the normal operation of the electricity spot market.