Litcius/Paper detail

Bus Clustering for Distribution Grid Topology Identification

Guido Cavraro, Andrey Bernstein

2020IEEE Transactions on Smart Grid20 citationsDOI

Abstract

Recovering the distribution grid topology is essential to perform several distribution system operator functions. Many algorithms that address the topology recovery problem have already been proposed in the literature. Most are based on a priori information regarding which buses are fed by which substation; however, this information might not be available because frequent grid reconfigurations change the distribution grid portion connected to each substation. This paper addresses the problem of assigning every substation the set of buses that it is feeding, given field data. First, the aforementioned task is cast as a nonconvex optimization problem. Second, a relaxed version of the optimization problem is solved via the alternating direction method of multipliers. Finally, the performance of our approach is validated through numerical simulations of realistic scenarios using a standard IEEE benchmark feeder.

Topics & Concepts

GridBenchmark (surveying)Topology (electrical circuits)Computer scienceA priori and a posterioriCluster analysisMathematical optimizationSet (abstract data type)Topology optimizationField (mathematics)Identification (biology)Distribution (mathematics)Operator (biology)Task (project management)Distributed computingMathematicsEngineeringFinite element methodChemistryBotanyGeneRepressorMachine learningProgramming languagePure mathematicsEpistemologyCombinatoricsPhilosophySystems engineeringTranscription factorGeometryBiochemistryMathematical analysisStructural engineeringGeographyBiologyGeodesyOptimal Power Flow DistributionMicrogrid Control and OptimizationPower System Optimization and Stability