IEEE Transactions on Smart Grid · 2011 · 98 citations · 21 references
Voltage DerivativesWavelet-based Disturbance AnalysisElectrical EngineeringMaximum WcsGeneration LossEngineeringSmart GridWavelet AnalysisWide Area MonitoringSystems EngineeringDisturbance DetectionWide-area MonitoringGrid StabilityPower System DynamicElectric Power QualityPower System TransientPower SystemsPower System Analysis
Frequency and voltage derivatives are key indicators of power system disturbances and dynamics, yet existing computational methods suffer from accuracy drawbacks. The paper proposes a wavelet‑based method to extract frequency and voltage derivative characteristics for disturbance analysis. The authors employ WT‑based MRA to compute maximum wavelet coefficients, simulating generation loss and load change disturbances on the IEEE New England 39‑bus system in PSS/E, and analyze the relationship between maximum WCs and power variation. Numerical experiments demonstrate that WT‑based MRA outperforms existing methods and that maximum wavelet coefficients can identify generation loss locations and estimate load power variation.
This paper proposes a wavelet-based method to obtain the characteristics of frequency and voltage derivatives for disturbance analysis. Frequency and voltage derivatives are important indicators to reflect the degree of disturbances and manifest power system dynamics. However, current computational methods for the indicators have noticeable drawbacks with respect to the accuracy. Wavelet transform-based multiresolution analysis (WT-based MRA) is introduced to obtain the characteristics of the indicators by computed maximum wavelet coefficients (WCs). Results from numerical experiments show a superior performance of WT-based MRA over the existing methods. Generation loss and load change as two major types of disturbances are studied to verify the proposed method. The disturbances are simulated in PSS/E for IEEE New England 39-bus system. The relationship of maximum WCs and power variation is discussed. Maximum WCs can provide enough information to distinguish the location of generation loss and estimate the load power variation.
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Synchronized phasor measurements in power systems
A.G. Phadke · IEEE Computer Applications in Power · 1993 · 1.1K citations