Gan Zhi, Hanguang Su, Huaguang Zhang, Qiuye Sun, Jie Yang, Jiawei Wang
To address the issues of insufficient stability, low power allocation accuracy, and resource constraints in dc microgrids, this article proposes a distributed optimal control method based on edge computing. Adaptive dynamic programming method is introduced to address the nonlinear control problem, improving the stability and power allocation accuracy. A three-level cloud-edge-device control framework is constructed to improve system efficiency and flexibility combining distributed control and edge computing. The improved event-triggered control mechanism is designed to reduce unnecessary computation and improve the real-time responsiveness of the system. The practicality of the method is verified using a hardware-in-the-loop simulation platform based on the edge intelligent terminal.