Self-adaptive dynamic reconfiguration energy storage system integrated control method and device
By constructing a virtual energy management platform and a dynamic reconfiguration method, the integrated control problem of energy storage systems was solved, and the flexibility and intelligence of energy storage systems were improved, meeting the needs of rapid switching of multiple tasks and management of heterogeneous resources in the power grid.
Patent Information
- Application Number
- CN202610481497.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-13
- Publication Date
- 2026-07-10
AI Technical Summary
Existing energy storage systems lack a systematic integrated control method, making it impossible to autonomously, online, and safely reconstruct the internal electrical connections and operating modes of the system based on high-level instructions, real-time equipment status, and performance requirements. This makes it difficult to meet the requirements of rapid switching between multiple tasks in the power grid and refined management of heterogeneous resources.
By constructing a virtual energy management platform, a virtual state is generated based on the physical exchange matrix and the actual connection relationship of energy storage units. Combining task performance constraints and multi-objective optimization conditions, virtual energy storage units are dynamically selected. Through the conversion of logical topology to physical action commands, the adaptive dynamic reconfiguration of the energy storage system is realized, including the real-time reorganization of the electrical connection network and the adaptive adjustment of the topology.
It has improved the flexibility, intelligence and economic efficiency of energy storage systems, adapted to the complex operation requirements of high-proportion renewable energy power systems, met the needs of rapid and seamless switching of multiple tasks in the power grid, and improved resource utilization and system stability.