System Data Abbreviation for Distribution Topology Analysis

The patent segments the distribution system topology data by classifying electrical nodes into different types (e.g., connection nodes, terminal nodes, intermediate nodes) and selectively including only necessary nodes in the computational matrix. This segmentation allows the system to maintain analysis completeness while reducing matrix size by excluding redundant nodes from computation.

The patent extracts and eliminates unnecessary electrical nodes from the computational range by identifying nodes that do not contribute to the core system analysis. This extraction process removes redundant data elements while preserving the essential topology information needed for accurate system analysis, thereby reducing matrix dimensions without sacrificing reliability.

The patent applies local quality by treating different regions or sections of the distribution system differently based on their computational importance. Critical areas with significant topology changes or measurement points are retained in full detail, while less critical areas are simplified or aggregated. This selective detail preservation allows large-scale system coverage while minimizing processing time for non-critical regions.

The patent divides the large-scale distribution system into multiple segments or zones, classifying nodes within each segment according to their computational necessity. By processing only essential nodes within each segment rather than all nodes uniformly, the system achieves comprehensive coverage across the entire large-scale network while maintaining efficient data processing speeds through localized optimization.

The patent segments the unified data table into separate tables or data structures for static information (e.g., topology, node attributes) and dynamic information (e.g., measurements, operational states). This segmentation allows application programs to directly access specific data types without scanning through mixed information, significantly improving retrieval efficiency while maintaining manageable data structure complexity through organized separation.

The patent introduces an additional organizational dimension by classifying data not only by node identity but also by information type (static vs. dynamic). This multi-dimensional organization allows efficient querying and retrieval by filtering on both dimensions simultaneously, resolving the contradiction between structural simplicity and retrieval efficiency by adding a classification layer that enables targeted data access.