High-energy load flexibility potential assessment method
By constructing a refined high-energy-load flexibility supply model and grid node flexibility supply and demand model, combined with the multi-path resource transmission mechanism, the problem of failure to fully consider the coupling effect and spatial distribution differences in the existing technology is solved, and a more accurate assessment of the flexibility potential of high-energy-load load is achieved, and the scheduling and stability of the power system are optimized.
Patent Information
- Application Number
- CN202510138757.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-07
- Publication Date
- 2025-06-03
AI Technical Summary
When evaluating the flexibility potential of high-energy loads, the prior art fails to fully consider the coupling effect between different service types and the differences in the spatial distribution of power supply and load, resulting in the impact of the accuracy of the evaluation results.
Build a refined model for flexible supply of high energy loads, including a flexible supply model for electrolytic aluminum loads based on power-current-temperature coupling and a flexible supply model for arc furnace loads based on production processes; build a quantitative model for flexible supply and demand in power grid nodes; build a flexible supply and demand transmission model and system flexibility supply and demand conditions based on multi-path resource transmission mechanism between nodes; establish a high energy load response potential evaluation index system, and build a high energy load response potential evaluation model that takes into account flexible supply and demand space-time balance based on timing production operation simulation.
Through refined model construction and multi-path resource transmission mechanism, the flexibility potential of high energy loads in the power system can be more accurately reflected, providing more accurate evaluation results, and helping the power system optimize scheduling and improve stability.