用于储能隧道的能量调度优化方法
By employing a multi-level distributed scheduling architecture and adaptive load prediction, the system addresses the issues of response lag and repair difficulties in energy storage tunnel systems under dynamic loads and faults, achieving efficient and stable energy scheduling and improving the system's response speed and energy efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- TONGJI UNIV
- Filing Date
- 2025-03-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing energy storage tunnel systems suffer from slow response to dynamic load changes, difficulty in fault repair, low optimization efficiency, and lack of adaptive capabilities, resulting in low energy efficiency and system instability.
A multi-level distributed scheduling architecture is adopted, combined with a multi-dimensional health monitoring model and adaptive load prediction, to achieve fault detection and automatic repair, dynamically adjust the charging and discharging strategy of energy storage units, and optimize global energy flow.
It improves the response speed and energy efficiency of the energy storage tunnel system, ensures stable operation of the system under dynamic load and fault conditions, has self-healing capabilities, and enhances the reliability and adaptability of the system.
Smart Images
Figure CN120197766B_ABST