Chapter

Power System Harmonics

West Virginia University
DOI: 10.1002/047134608X.W6214 In book: Wiley Encyclopedia of Electrical and Electronics Engineering
0 Bookmarks
 · 
78 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper presents some aspects of power analyzers utilization, related with your calibration by metrological laboratory. The full metrological characterization of power analyzers is a difficult technical process because the specifications in related standard are minimal. After a short presentation of parameters and measurement methods recommended by the important standards in the field of power quality, CEI EN 50160 and CEI EN 61000-4030, study of uncertainty propagation related to test calibration, this document describes the instruments configuration and evaluation of measurement errors and uncertainties for one parameter, voltage in sinusoidal and non-sinusoidal regime.
    8th International Symposium on ADVANCED TOPICS IN ELECTRICAL ENGINEERING, Bucharest; 05/2013
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: This paper discusses a number of ways in which wind power installations can impact the harmonic levels in the power system. Wind turbines are an additional source of harmonic emission, especially when it concerns “non-characteristic harmonics.” Parallel resonances can amplify the emission from individual turbines. A mathematical model is developed to quantify this amplification. Series resonances can result in high currents, driven by the background voltage distortion in the transmission grid, flowing into the wind park. Weakening of the transmission grid will increase lower order harmonics but reduce higher order harmonics.
    Journal of Modern Power Systems and Clean Energy. 1(1).
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The paper presents a new method for simultaneous tracking of varying grid impedance and its uncertainty bounds. Impedance tracking consists of two stages. In the first stage, the actual noise estimate is obtained from least squares (LS) residua. In the second stage, the noise covariance matrix is approximated with the use of residual information. Then weighted least squares (WLS) method is applied in order to estimate impedance and background voltage. Finally uncertainty bounds for impedance estimation are computed. The robustness of the method has been verified using simulated signals. The proposed method has been compared to sliding LS. The results have shown, that the method performs much better than the LS for all considered cases, even in the presence of significant background voltage variations.
    Metrology and Measurement Systems 01/2014; XXI(1):99-110. · 0.98 Impact Factor