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• W3016593507 abstract "Motivated by increasing penetration of distributed generators (DGs) and fast development of micro-phasor measurement units ( ${mu }$ PMUs), this paper proposes a novel graph-based faulted line identification algorithm using a limited number of ${mu }$ PMUs in distribution networks. The core of the proposed method is to apply advanced distribution system state estimation (DSSE) techniques integrating ${mu }$ PMU data to the fault location. We propose a distributed DSSE algorithm to efficiently restrict the searching region for the fault source in the feeder between two adjacent ${mu }$ PMUs. Based on the graph model of the feeder in the reduced searching region, we further perform the DSSE in a hierarchical structure and identify the location of the fault source. Also, the proposed approach captures the impact of DGs on distribution system operation and remains robust against high-level noises in measurements. Numerical simulations verify the accuracy and efficiency of the proposed method under various fault scenarios covering multiple fault types and fault impedances." @default.
• W3016593507 created "2020-04-24" @default.
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• W3016593507 date "2020-09-01" @default.
• W3016593507 modified "2023-09-29" @default.
• W3016593507 title "Graph-Based Faulted Line Identification Using Micro-PMU Data in Distribution Systems" @default.
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• W3016593507 doi "https://doi.org/10.1109/tsg.2020.2988349" @default.
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