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- W4387005997 abstract "Ensuring the accuracy of distribution systems models is an increasingly important task for efficient grid operation, especially for integrating more distributed energy resources. Nowadays, proliferation of smart meters provides a basis for data-driven approaches which allow calibration of the underlying grid model. In this work, a method based on modified multi-tree clustering is presented for the task of distribution grid phase identification. The method relies only on voltage magnitude measurements from end-customer smart meters, and utilizes ensemble spectral clustering results in combination with a core clustering technique. The number of clusters is decided automatically to best fit the input data relationships, making the approach suitable for a wide range of grids, including unbalanced systems with photovoltaic systems and line-to-line loads. Effectiveness of the approach is tested on the IEEE 123-bus system and IEEE 8500-bus system with various photovoltaic penetrations and measurement errors including noise, bias and missing data." @default.
- W4387005997 created "2023-09-26" @default.
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- W4387005997 date "2023-07-16" @default.
- W4387005997 modified "2023-09-26" @default.
- W4387005997 title "Modified Multi-Tree Clustering for Phase Identification in Distribution Grids with Photovoltaic Systems" @default.
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- W4387005997 doi "https://doi.org/10.1109/pesgm52003.2023.10253051" @default.
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