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- W3089444832 abstract "Distribution networks represent the final tier in electric networks consisting of medium and low voltages lines that connect the distribution substations to the loads. Traditionally, distribution networks have been operated in a radial topology, with access to a lot of distributed renewable energy, the topology of distribution networks changes very frequently. Power distribution networks suffer from a lack of real-time observability, estimation of the topology is a critical problem for its observability and control. In this paper, a new method based on graphical is proposed, which uses the voltage measurements collected from the grid to estimate the topology of radical networks. The learning method is based on Euclidean distance and minimum spanning tree Kruskal algorithm. The performance of the method is verified by simulation of a distributed test case." @default.
- W3089444832 created "2020-10-08" @default.
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- W3089444832 date "2020-07-01" @default.
- W3089444832 modified "2023-09-24" @default.
- W3089444832 title "Topology Estimation of Power Distribution Grids Using Graphical Model" @default.
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- W3089444832 doi "https://doi.org/10.1109/icpsasia48933.2020.9208579" @default.
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