Improving Automatic Modeling and Configuration Technology for Smart Fault Recorders
Source abstract
Abstract
The widespread deployment of smart fault recorders (SFRs) in modern power grids faces critical bottlenecks: missing automatic discovery, low modeling efficiency, and incomplete validation coverage. Existing “one-key configuration” schemes and IEC 61850-based platforms still rely on manual intervention for device registration, model mapping, and rule verification, leading to configuration cycles of 2–3 days per substation. This work presents a system-level integration of existing mature techniques into a full-chain automated solution integrating multi-protocol active discovery, layered hierarchical modeling, and four-dimensional service validation. The main improvements include: (1) a link-to-application layer detection mechanism enabling plug-and-play device perception; (2) a dynamic parameter template adaptation algorithm that reduces manual adjustments by 85%; and (3) a four-dimensional rule library covering parameter legality, business logic rationality, cross-device coordination (including relay protection settings), and fault scenario adaptability. In provincial pilot substations, the proposed solution reduces single-device configuration time from 4.5 h to 1.2 h (73.3% improvement), lowers the error rate from 8.2% to 0.8%, and increases validation coverage from ~40% to 96.6%. The solution provides a feasible technical pathway for minute-level deployment and dynamic reconfiguration under flexible grid architectures.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Power Systems Fault Detection · Smart Grid Security and Resilience · Software System Performance and Reliability
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
China Southern Power Grid Co., Ltd., Guangzhou 510530, China
Beijing Sifang Automation Co., Ltd., Beijing 100085, China
Funding
CHINA SOUTHERN POWER GRID
References (24)
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