I Artificial intelligence and deep learning based smart energy storage system

摘要

The present invention relates to an artificial intelligence (AI) and deep learning-based smart ESS including: a switching unit which opens and closes a commercial power supply to a load; a battery which is charged by the commercial power and supplies power to the load when the commercial power is cut off by the switching unit; a charging/inverter unit which converts the commercial power to be charged in the battery or converts the power of the battery into inverter power so as to be supplied to the load; a disturbance power detection unit which detects disturbance power for the commercial power supplied to the load; and an AI control unit which receives a detection signal of the disturbance power detection unit and controls the operation of the switching unit. The present invention: improves the efficiency of a seamless switching and an inverter and improves life span by outputting a normal power by switching when sensing an abnormal voltage; prevents failure in UPS and load due to the mismatch of waveforms by synchronizing the waveforms of commercial power and inverter power to be consistent while monitoring the state of commercial power at all times; greatly contributes to stable power supply to a load by the implementation of deep learning as well as AI having a learning effect minimizing and preventing power disturbance through a detection of the disturbance of power supplied to the load; and thus, prevents various damages caused by power disturbance when starting, stopping, or mixing various facilities and equipment of railways such as subway, train, light rail transit, SRT, and KTX.