GIS-Centric Operational Control of Medium-Voltage Distribution Networks: A Cost-Effective Framework Eliminating ADMS Dependency Through Embedded Switching Intelligence and Real-Time Topological Visualization

The operational control of medium-voltage (MV) distribution networks has conventionally relied on a tightly integrated, multi-platform architecture comprising a Supervisory Control and Data Acquisition (SCADA) system, an Advanced Distribution Management System (ADMS), and a Geographic Information System (GIS), interconnected through middleware integration layers. This architecture imposes substantial capital expenditure—typically USD 3.5–4.5 million per control center deployment—and introduces structural data divergence between the ADMS operational model and the GIS geographic representation, with synchronization lags ranging from 24 h to seven days under standard batch update configurations. This paper proposes, develops, and validates a GIS-native operational control framework for MV distribution networks that eliminates the structural dependency on a standalone ADMS by embedding switching intelligence, real-time topology processing, and georeferenced operational visualization directly within the GIS platform. The framework comprises four tightly integrated components: a Unified Spatial Data Model (USDM) serving as the single authoritative network state store; an Embedded Topology Engine (ETE) implementing a loop-safe Breadth-First Search algorithm for real-time energization state computation; a Real-Time Visualization Engine (RTVE) providing continuous georeferenced display of the live network operational state; and a Switching Control Module (SCM) with a Three-State Switch Position Logic (TSPL) conflict resolution mechanism ensuring switching state integrity under concurrent RTU and operator command conditions. The framework was validated on a live operational Egyptian 11 kV distribution network comprising 312 switching elements and 42,650 customers across seven representative switching scenarios. Validation results demonstrate: zero switching state divergence (δ(t) = 0) across all 200 verification points; 100% topological correctness across all 37 switching steps; end-to-end processing latency consistently below 400 milliseconds per switching operation, representing a 14×–67× improvement over the conventional batch GIS synchronization latency; an 88–89% reduction in deployment CAPEX relative to the conventional multi-platform architecture; and a 74–75% reduction in ten-year total cost of ownership inclusive of platform licensing, custom development maintenance, and operational expenditure. The single-platform architecture additionally eliminates 100% of inter-system integration interfaces, removing the primary class of synchronization failure modes inherent to multi-platform deployments. These results establish the proposed framework as a technically rigorous and economically viable operational control solution for MV distribution utilities operating under capital-constrained conditions, with direct applicability to distribution utility sectors across Egypt, the broader MENA region, and developing-world utility environments.