Electrical Distribution Topology Reconstruction From Smart Meter Data
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Solution Overview
Problem
Existing methods for reconstructing the topology of electrical distribution networks with smart meters are complex, inefficient, and imprecise due to high variability in consumption measurements and power theft, making real-time dynamic management challenging.
Innovation Solution
A computer-implemented method that generates an ohmic matrix model from consumption measurements, defines a tree table of nodes, and iteratively enters nodes into the table based on resistive quantities to reconstruct the network topology, allowing for validation and dynamic management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complex statistical techniques and voltage correlation analysis are used to reconstruct network topology, then measurement precision may be improved, but device complexity and computation time increase significantly
Solution Approach 1:
The invention changes the measurement parameters from complex voltage correlation analysis to simplified active power consumption measurements. By using active power data from smart meters and calculating apparent resistance through a streamlined matrix model, the system achieves topology reconstruction without requiring complex computational algorithms, thus reducing device complexity while maintaining practical accuracy
Solution Approach 2:
The invention extracts only the essential information needed for topology reconstruction from the available measurement data. Instead of using comprehensive voltage correlation analysis across multiple parameters, the method extracts and utilizes solely the active power consumption measurements to build the ohmic matrix model, simplifying the reconstruction process by focusing on the most relevant data
2Measurement precision
If extensive computation efforts are applied in topology reconstruction, then measurement precision may be improved, but loss of time increases due to processing delays
Solution Approach 1:
By changing from complex voltage correlation computations to simple active power measurements and basic matrix operations, the invention dramatically reduces processing time. The streamlined calculation of apparent resistance values and iterative tree construction requires minimal computation, enabling near real-time topology reconstruction while maintaining sufficient accuracy for practical applications
Solution Approach 2:
The invention skips the time-consuming intermediate steps of comprehensive voltage correlation analysis and directly proceeds to topology reconstruction using active power measurements. This rushing through the essential computational steps without unnecessary intermediate calculations enables the system to deliver results quickly, suitable for dynamic network management
3Reliability
If in situ inspection techniques are used to validate topology, then reliability of results is improved, but loss of time increases due to inspection delays
Solution Approach 1:
The invention enables the system to self-validate its reconstructed topology using only the same smart meter consumption data that was input for reconstruction. By comparing the reconstructed topology against the original smart meter data and checking consistency through the ohmic matrix model, the system performs automated validation without requiring external in situ inspection, thus maintaining reliability while eliminating inspection delays
Solution Approach 2:
The invention implements a feedback mechanism where the reconstructed topology is continuously validated against incoming smart meter consumption data. The system uses the same measurement data to both reconstruct and verify the topology, creating a closed-loop validation process that ensures reliability through automated consistency checking rather than time-consuming manual inspections
Data Source
AI summary
The disclosed method reconstructs a topology of an electrical distribution network. An ohmic matrix model is generated as a function of consumption measurements provided by smart meters in the network. A tree table of nodes to which the smart meters are connected is defined. A branch in exploration is defined in the table and the nodes of the branch meeting preestablished relations are entered in the table as a function of connection values derived from resistive quantities in the matrix model. One of the relations determines a junction of the branch in exploration with a branch already explored connectable to a root to which a distribution transformer of the distribution network is connected. The topology is reconstructed by iteratively proceeding with sequences of decreasing values derived from the resistive quantities.