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- W4386804937 abstract "Nowadays securing the Power system is one of the main challenges. To secure the system, timely fault detection and localization are needed so that their effects on the system to be reduced. The phasor measurement unit (PMU) is a tool that provides data on the system's voltage and current phasor. The objective of this work is to detect, locate the fault type with distance, and PMU outage in the system using artificial neural network (ANN). MATLAB Simulink has been used to model the IEEE 9 bus technology. The normal operation of the system was observed. Then, all nine buses and all of the system's lines were used to mimic the Line to Line (LL) fault and the Line to Ground (LG) problem. The system yields the current and voltage magnitudes. These measurements are used as input for the proposed ANN. The proposed model output provides types of different fault information, fault occurring locations, and PMU outage. The result obtained shows the efficiency of the proposed model." @default.
- W4386804937 created "2023-09-17" @default.
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- W4386804937 date "2023-01-01" @default.
- W4386804937 modified "2023-09-27" @default.
- W4386804937 title "BR-BPNN Model for Fault Detection in Power Transmission System Including PMUs" @default.
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- W4386804937 doi "https://doi.org/10.1007/978-981-99-3716-5_44" @default.
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