A source, network, load and storage integrated photovoltaic power generation and energy storage system
By employing a hybrid intelligent management architecture and dynamic grouping technology, the slow response and computational overload issues of integrated photovoltaic power generation and energy storage systems with grid-source-load-storage capabilities have been resolved. This has enabled efficient and safe battery management and scheduling, thereby improving the overall system performance and battery life.
Patent Information
- Application Number
- CN202511891749.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-16
- Publication Date
- 2026-06-26
- Estimated Expiration
- 2045-12-16
AI Technical Summary
The existing integrated photovoltaic power generation and energy storage system has a slow management architecture, is overloaded by computational load, and fails to achieve fine-grained coordinated scheduling. This results in excessive consumption of healthy batteries or overload operation of low-healthy batteries, leading to low system efficiency and safety hazards.
It adopts a hybrid intelligent management architecture, including a central coordination layer, a group autonomy layer, and a communication network layer. It combines a hierarchical thermal management protection system and a task execution monitoring mechanism. It dynamically groups and redistributes tasks based on battery health and uses multi-objective optimization algorithms and distributed consensus algorithms to achieve efficient collaborative scheduling.
It achieves efficient collaborative scheduling of large-scale battery arrays, improves system operating efficiency, battery life and safety protection capabilities, reduces the load on the central control layer, and ensures the real-time and reliable transmission of data.