A distributed anti-inversion communication architecture of inverter and working method thereof
By adopting a distributed inverter anti-backflow communication architecture in large-capacity multi-inverter power plants, and utilizing a unidirectional closed-loop topology and data packet loopback mechanism, the problems of poor communication scalability and uneven resource utilization in existing technologies are solved. This achieves consistency in network-wide data synchronization and anti-backflow scheduling, and improves the system's concurrent processing capabilities.
Patent Information
- Application Number
- CN202511375272.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-25
- Publication Date
- 2025-12-23
- Estimated Expiration
- 2045-09-25
AI Technical Summary
Existing data acquisition devices are limited in communication distance and processing capacity in large-capacity multi-inverter sites, resulting in poor system scalability, difficulty in controlling end-to-end latency and jitter, poor cross-node consistency, uneven resource utilization, long communication time, and underutilization of local computing power.
A distributed inverter anti-reverse communication architecture is adopted, which divides multiple inverters into multiple groups, each group is responsible for by a data acquisition unit, forming a unidirectional closed ring communication topology. The data acquisition units are unidirectionally connected to each other, and the electricity meter communicates with the ring topology. Data packets are transmitted in the ring topology, and data processing and identification of data packets are completed in each cycle to ensure global data synchronization and independent decision-making.
It achieves strong communication synchronization and consistent anti-backflow response, makes full use of communication resources and local computing resources, avoids control competition in the case of asynchronous or inconsistent data acquisition by multiple data collectors, ensures the consistency of anti-backflow scheduling decisions across the entire network, and improves concurrent processing capabilities.