Results 211 to 220 of about 45,105 (281)
Identification and suppression of low-frequency oscillations using PMU measurements based power system model in smart grid. [PDF]
Zuhaib M, Rihan M, Gupta S, Sufyan MAA.
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Forced Oscillation Detection via a Hybrid Network of a Spiking Recurrent Neural Network and LSTM. [PDF]
Yang X, Wang J, Huang X, Wang Y, Xiao X.
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The Sunrise Ultraviolet Spectropolarimeter and Imager: Standalone Polarimetric Calibration. [PDF]
Iglesias FA +8 more
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Chromosome-scale, haplotype-resolved genome of Bighead catfish for conservation and aquaculture. [PDF]
Andres QLS +8 more
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IEEE Transactions on Industrial Informatics, 2023
The wide area measurement system (WAMS) based on synchronous phasor measurement technology plays an increasingly important role in dynamic monitoring and wide area protection of modern power systems.
Bin Cao +6 more
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The wide area measurement system (WAMS) based on synchronous phasor measurement technology plays an increasingly important role in dynamic monitoring and wide area protection of modern power systems.
Bin Cao +6 more
semanticscholar +1 more source
Stability and Dynamics of Active Distribution Networks (ADNs) With D-PMU Technology: A Review
IEEE Transactions on Power Systems, 2023Massive integration of converter-interfaced distributed energy resources (CDERs) has resulted in many emerging stability issues and significantly complicated the dynamics of active distribution networks (ADNs).
S. Bu +3 more
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Algebraic Approach to PMU Placement for Minimum Variance Linear State Estimation in Power Networks
IEEE Transactions on Power Systems, 2023Phasor Measurement Units (PMUs) are used to measure voltages and currents in a power network. Optimal PMU placement in a given network is an important problem since installing PMU at every node of a network is expensive.
Aditya Mishra, R. D. de Callafon
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A Power System Disturbance Classification Method Robust to PMU Data Quality Issues
IEEE Transactions on Industrial Informatics, 2022Data quality issues exist in practical phasor measurement units (PMUs) due to communication errors or signal interferences. As a result, the performances of existing data-driven disturbance classification methods can be significantly affected.
Zikang Li +4 more
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