一种区域内多点储能调度方法和系统
By combining fuzzy inference models and preset membership functions, the system achieves accurate classification and scheduling of energy storage systems at new energy power stations within the region, improving the utilization rate of energy storage resources and system efficiency, and solving the problem of low utilization rate of multi-point energy storage within the region.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- HUADIAN ELECTRIC POWER SCI INST CO LTD
- Filing Date
- 2024-10-24
- Publication Date
- 2026-07-17
AI Technical Summary
The utilization rate of multi-point energy storage systems in the region is low, and existing control strategies are difficult to effectively coordinate and manage the dispersed energy storage resources of new energy power stations.
By employing a fuzzy inference model combined with preset membership functions, the membership degrees of the energy storage system's state of charge, health, and available cycle life are obtained. The system is then classified and scheduled using the rule base of the fuzzy inference model, dynamically adjusting the use of energy storage resources.
It improves the utilization rate and system efficiency of energy storage resources, ensures the efficient and reliable operation of energy storage resources in a constantly changing environment, and solves the problem of low utilization rate of multi-point energy storage.
Smart Images
Figure CN119742740B_ABST