Micro-grid intelligent management and control terminal
By introducing intelligent management and control terminals into microgrids, integrating power supply, HMI, encryption, communication and computing modules, local real-time modeling and optimization are performed, solving the lag problem in microgrid operation and control, realizing global optimization and closed-loop control of the system, and improving economic efficiency and renewable energy consumption capacity.
Patent Information
- Application Number
- CN202511894623.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-16
- Publication Date
- 2026-03-27
AI Technical Summary
The operation and control of microgrids face challenges due to the intermittency and randomness of the system power balance, which makes it difficult to maintain. Traditional control methods cannot adapt to real-time changes, resulting in delayed generation of control commands and an inability to respond to changes in system status in a timely manner. Furthermore, existing terminals have limited functions and lack local optimization computing capabilities, which can easily lead to problems such as the abandonment of new energy sources, excessive node voltage, and overcharging and over-discharging of energy storage batteries.
The microgrid intelligent management and control terminal integrates power supply module, HMI module, encryption module, communication module and computing module. Through local real-time modeling and high-speed calculation, it generates optimized control commands to realize the coordinated optimization and closed-loop control of distributed power sources, energy storage systems and loads. It uses topology information to build an electrical model, generates an optimized model with the goal of maximizing the local consumption of new energy, and performs multiple safety verifications.
It achieves global optimization and closed-loop control of microgrids, improving the economy, safety and renewable energy absorption capacity of the system. Through local real-time modeling and high-speed calculation, it solves the lag problem of traditional control methods and ensures the stability and efficiency of the system.