Design of intelligent control system for energy internet based on edge computing
The paper puts forward a smart control system for the energy internet that uses edge computing, with a focus on the combined innovation of smart grid technology, power electronics systems and predictive control. Adopting a 'cloud-edge-end' architecture, the system uses predictive control technology to precisely regulate power electronic thereby overcoming the real-time performance issues encountered by traditional centralised smart grids. The is in the dual-tiered predictive control design of the power electronics system, which allows for ideal planning at the and hour levels, greatly enhancing the performance efficiency of the smart grid. Test results show that the system the utilisation of renewable energy, reduces operating costs and grid peak-to-valley differences, and offers a new to the coordinated control of smart grid technology and power electronics systems.