Low-voltage user typical daily load mode analysis method and device and storage medium

The invention relates to the technical field of electrical loads of power systems, and discloses a low-voltage user typical daily load mode analysis method and device and a storage medium. The method comprises the following steps: acquiring active power of each low-voltage user at different sampling moments in a day, and constructing a daily load curve of each low-voltage user based on the active power; preprocessing the daily load curve, and calculating a load characteristic index of the corresponding low-voltage user according to the preprocessed daily load curve; constructing a data sample set of a corresponding low-voltage user based on the load characteristic index so as to complete data dimension reduction; determining a clustering center initial point by using a grey wolf optimization algorithm, and clustering the data sample set of each low-voltage user by using a K-means clustering algorithm based on the clustering center initial point to obtain a clustering result; and determining a typical daily lo