A micro-grid resilience scheduling method based on load prediction and dynamic threshold control
The microgrid resilient dispatching method, which combines high-precision load forecasting and dynamic threshold control, solves the problems of insufficient load forecasting accuracy and rigid dispatching under extreme fault scenarios. It achieves reliable power supply for critical loads and minimizes system losses, thereby improving the resilience and recovery efficiency of the microgrid.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HUNAN UNIV
- Filing Date
- 2026-03-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve high-precision load forecasting under extreme fault scenarios, suffer from rigid scheduling thresholds, and lack load hierarchical management. Consequently, microgrid resilient scheduling strategies cannot effectively respond to dynamic load fluctuations, making it difficult to ensure power supply to critical loads and minimize system losses.
By deeply integrating high-precision load forecasting, dynamic threshold adaptive adjustment, and load grading control, and employing multi-dimensional data acquisition, two-stage decomposition processing, phase space reconstruction, and deep learning prediction, a dynamic threshold sequence is generated. Combined with mathematical models of energy supply and storage equipment, an optimized scheduling model is constructed to generate a resilient scheduling scheme.
It achieves synergistic optimization of rigid protection of critical loads and minimization of overall system losses under extreme disturbances, thereby improving the survivability and recovery efficiency of microgrids.
Smart Images
Figure CN122418705A_ABST