The invention relates to a novel power system load curve clustering method. The novel power system load curve clustering method comprises the following steps: step S1, obtaining daily load curve active power data in five or more days of loads or transformers to be classified from a monitoring, controlling and data-collecting system; step S2, taking a mean value of all workdays at every moment of each load or transformer as a user typical load curve according to the daily load curve active power data obtained in the step S1; step S3, carrying out standardization treatment on the user typical load curve obtained in the step S2; step S4, culturing the user typical load curve by using an affinity propagation algorithm to obtain preliminary classification results; step S5, calculating a user load form characteristic index, and carrying out min-max standardization treatment to obtain a standardized load form characteristic index; and step S6, carrying out secondary classification on the preliminary classification results in the step S4 based on the standardized load form characteristic index obtained in the step S5.