The invention discloses an
alternating current power supply
system low-
voltage switch cabinet for an intelligent
station and a power supply control method, and relates to the technical field of
electric power automation and
intelligent control, and the switch cabinet comprises an intelligent monitoring terminal, a transfer learning module, a self-
adaptive optimization engine and an equipment
fingerprint similarity evaluation module. According to the alternating-current power supply
system low-
voltage switch cabinet for the intelligent
station and the power supply control method, a quantitative
evaluation system is established through equipment composite
fingerprint similarity evaluation, reliable improvement guarantee is provided for the
reuse rate and the
fault coverage rate after a fault prediction model is applied, and the reliability of the
system is improved. Moreover, the isomorphic dual-channel
feature fusion network improves the characterization capability of the
time sequence dependence features and the topological correlation features, improves the
intermittent fault detection rate, and achieves the exponential shortening of the model optimization period through the cooperation with
incremental learning, thereby reducing the operation and maintenance cost, shortening the non-planned shutdown time of equipment, and improving the reliability of the system. And the autonomous operation and maintenance level of the
smart power grid can be effectively improved.