This technology is optimized for the power generation, storage, and energy consumption of the microgrid system. The established system includes several functional sub-systems, such as solar power forecasting, electric energy optimization control, demand management, microgrid fault detection and protection, grid-connected active and reactive power control, islanding voltage and frequency control, synchronization detection and control for grid-reconnection, and power quality monitoring. The proposed technology realized energy integration applications of intelligent Internet of Things (AIoT) through energy information and communication equipment.At present, the domestic and foreign technologies rarely have system planning and optimal energy management that integrate power generation, energy storage, energy consumption, and provide operational functions such as islanding, grid connection, power regulation, fault detection, and power quality analysis. This technology have achieved cross-field integration development by combining microgrid system energy information and communication integration, power flow control, power electronics converter modules, and power regulation.This technology has been implemented in the green energy container house microgrid system in National Central University. At present, there is no intelligent control and optimal management technology in the commercial power management system, so this technical achievement has the competitive advantage and can enhance the system efficiency and operation stability. This technology can be applied to domestic power and energy-related fields. The estimated annual output value of energy storage-related industries is about 35 billion US dollars in this year.