Optimal Building Energy Management Based on Active Target Grey Wolf Optimization Algorithm

In order to improve the efficiency of electric energy utilization of intelligent commercial building and prolong the service life of building power supply equipment, the energy management problem of intelligent buildings under the island operation mode is studied. This paper introduce optimal building energy management based on an Active Target Grey Wolf optimization Algorithm (ATGWO). Briefly, describe the scheduling and cost models of loads, distributed generators and battery energy storage systems are established; a distributed observer is designed to estimate the total power mismatch between supply and demand of building groups, and based on alternating direction multiplication Sub-method design of distributed optimal scheduling strategy for intelligent building clusters. The simulation results show that the algorithm can effectively dispatch power generation and power consumption equipment, realize the optimal distributed global economy, avoid the risk of user privacy leakage under centralized control, and reduce the computational burden of the central controller.