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- W2918185812 abstract "The increasing penetration of distributed generation (DG) units into power system networks has increased the overall reliability of global electricity consumption. DG integration also creates some challenges in the form of unintentional islanding, power quality, and bi-directional power flows. Islanding of DG units creates safety issues for the maintenance personnel and can damage protection equipment. The paper presents a passive islanding detection approach (IDA), which is based on voltage harmonics, extracted using a Kalman Filter (KF) model. A KF model is utilized to extract the harmonic features from the measured modal voltage (MV) signal at DG terminals. A derivative of the selected voltage harmonic distortion (SVHD) is considered as a decisive factor for islanding detection. The proposed IDA is validated using UL 1741 standard test cases, which confirm the reliability and efficiency of the proposed approach. The simulations are performed in the Matlab/Simulink environment. The results demonstrate that the proposed approach can detect islanding condition under worst operating scenarios and has a negligible non-detection zone (NDZ)." @default.
- W2918185812 created "2019-03-11" @default.
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- W2918185812 date "2018-10-01" @default.
- W2918185812 modified "2023-10-16" @default.
- W2918185812 title "Novel Islanding Detection Approach for Distributed Generation Units Based on Kalman Filter" @default.
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- W2918185812 doi "https://doi.org/10.1109/tencon.2018.8650140" @default.
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