A Virtual Generation Ecosystem Control Strategy for Automatic Generation Control of Interconnected Microgrids
Lei Xi, Le Zhang, Jianchu Liu, Yudan Li, Xi Chen, Liuqing Yang, Shouxiang Wang
Abstract
The continuous access of new energy and distributed energy, as well as the random disturbance of load power, affect the security and stability of microgrids. A virtual generation ecosystem control (VGEC) strategy is proposed in this paper, which adopts the idea of time tunnel and the principle of a new win-loss criterion to achieve a fast automatic generation control power dispatch, optimal coordinated control of microgrids. A two-layer dynamic power dispatch structure is introduced in the proposed strategy, which combines hierarchical Q-learning with consensus theory to improve the adaptability of the consistency algorithm in complex random environments. Both the IEEE standard two-area load frequency control model and the interconnected microgrids model are used in simulation for comparison and verification. The results show that, by using the VGEC strategy, the control performance of microgrids can be improved, while can reduce power generation cost, and obtain faster convergence speed and stronger robustness compared with other algorithms.