An Efficient Configuration Management Framework of Data Collection System in Power Dispatching Automation

As the scale and complexity of the power grid continue to grow, the need for diversified data collection and enhanced collaboration among systems becomes increasingly important. Efficient
$\mathbf{d}$
ata exchange a cross
$\mathbf{d}$
ispatching agencies is essential, and ensuring the real-time synchronization of configuration information
$\mathbf{b}$
etween
$\mathbf{s}$
ystems
$\mathbf{p}$
resents a significant challenge. However, current systems rely on manual processes for configuration, resulting in Iow a ccuracy and efficiency, while failing to guarantee real-time synchronization. In this paper, we introduce an efficient configuration ma nagement framework for data collection systems in power dispatching automation. The framework proposes a standardized CIM-E representation for data collection models, implementing adaptable rule-based techniques for automated data collection model generation to suit various business scenarios. On the configuration
$\mathbf{i}$
mport
$\mathbf{s}$
ide, it supports both automatic and manual review modes, significantly improving the accuracy and timeliness of data collection configuration management. Verification demonstrates the framework's effectiveness in accelerating the configuration synchronization time from “days” to “minutes” while maintaining accuracy. The successful on-site implementation underscores its technological and practical value. Our framework reduces manual efforts, improves compatibility, real-time data synchronization, and enhanced interoperability.