Event Triggering-Based Distributed Optimal Generation Control of dc Microgrid via Edge Computing
Abstract
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.
Fields of Study & Subjects
Adaptive Dynamic Programming Control
Microgrid Control and Optimization
Frequency Control in Power Systems
Publication details
- Journal / source
- IEEE Transactions on Industrial Informatics
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Volume
- 22
- Issue
- 5
- Pages
- 4237–4247
- Publication date
- 9 February 2026