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Assessment of Measurement-Based Phase Identification Methods

Francis Therrien, Logan Blakely, Matthew J. Reno

2021IEEE Open Access Journal of Power and Energy37 citationsDOIOpen Access PDF

Abstract

The task of determining the phase connection of customers, known as phase identification, is crucial to obtain accurate distribution system models. This paper starts with a thorough literature review of the existing phase identification methods, which are broadly divided into three categories: hardware-based, real power-based, and voltage-based methods. This is followed by multiple case studies assessing the accuracy of six real power- and voltage-based phase identification algorithms on four realistic distribution test systems. Synthetic load profiles along with network models are used to quantify accuracy of each method for different scenarios: varying advanced metering infrastructure (AMI) coverage, number of initially mislabeled customer phases, number of available samples, and measurement noise. A case study using a real AMI data set, including field verification, is also provided. Finally, several aspects key to accurate phase identification are discussed in detail.

Topics & Concepts

Identification (biology)Metering modeComputer scienceKey (lock)Task (project management)Field (mathematics)Data miningPhase (matter)Three-phaseSet (abstract data type)Noise (video)VoltageReliability engineeringArtificial intelligenceEngineeringSystems engineeringElectrical engineeringMathematicsOrganic chemistryBotanyMechanical engineeringBiologyProgramming languageComputer securityPure mathematicsChemistryImage (mathematics)Power System Optimization and StabilityOptimal Power Flow DistributionPower Quality and Harmonics
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