Adaptive framework for accurate phasor characterization of transient and dynamic power system signals
Qian, Cheng Pang, Chengzong Wang, Qilin
Qian, Cheng
Pang, Chengzong
Wang, Qilin
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Issue Date
2022-04-26
Type
Conference paper
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Keywords
Electromagnetic transients,Electromechanical dynamics,Phasor estimation,Power system control,Power system measurement
Subjects (LCSH)
Citation
C. Qian, C. Pang and Q. Wang, "Adaptive Framework for Accurate Phasor Characterization of Transient and Dynamic Power System Signals," 2022 IEEE Kansas Power and Energy Conference (KPEC), 2022, pp. 1-5, doi: 10.1109/KPEC54747.2022.9814712.
Abstract
PMU data is known for high data resolution and
accuracy, is gaining increasing significance in power system
monitoring and control. This is especially true with the wide
application of machine learning and big data analytics. In this
paper, a fast implementation framework of phasor parameter
calculation algorithm is discussed. The proposed technique utilizes
the most recent frequency estimate, and adaptively adjust
algorithms applied to characterize both electromagnetic transients
and electromechanical dynamics in the power grid. PSS/E
simulation results show that the proposed technique is able to
adequately characterize transients and dynamics in terms of
accurate and fast phasor parameter calculation.
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Publisher
IEEE
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Series
2022 IEEE Kansas Power and Energy Conference (KPEC)