TY - JOUR
T1 - a New Perspective of Wind Power Grid Codes under Unbalanced and Distorted Grid Conditions
AU - Islam, Md Moinul
AU - Hossain, Eklas
AU - Padmanaban, Sanjeevikumar
AU - Brice, Charles W.
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2020
Y1 - 2020
N2 - Increasing penetration of wind power has led power system operators worldwide to develop new grid codes for integration of a wind power plant (WPP) onto the grid. according to the grid codes issued by Federal Energy Regulatory Commission (FERC) in the US, a WPP must have low voltage ride through (LVRT) capability, power factor design criteria, and supervisory control and data acquisition (SCaDa) system to ensure power system reliability. Fast Fourier transform (FFT) is frequently used to measure root mean square (RMS) voltage, power factor, and for supervisory data acquisition in order to verify that a WPP conforms to the grid code requirements. However, FFT inherently assumes signal is periodic in nature, and it provides misleading results under unbalanced and distorted grid conditions. To overcome these issues, this work proposes a new method for wind power grid codes based on time-frequency analysis technique. Unlike FFT, it provides accurate result both in steady-state and transient conditions. The efficacy of the proposed method is verified by applying it to computer simulated and real-world cases provided by National Renewable Energy Laboratory (NREL) in the US. Time-frequency analysis is performed utilizing Time-Frequency Toolbox (TFTB) in MaTLaB® developed for the analysis of non-stationary signals.
AB - Increasing penetration of wind power has led power system operators worldwide to develop new grid codes for integration of a wind power plant (WPP) onto the grid. according to the grid codes issued by Federal Energy Regulatory Commission (FERC) in the US, a WPP must have low voltage ride through (LVRT) capability, power factor design criteria, and supervisory control and data acquisition (SCaDa) system to ensure power system reliability. Fast Fourier transform (FFT) is frequently used to measure root mean square (RMS) voltage, power factor, and for supervisory data acquisition in order to verify that a WPP conforms to the grid code requirements. However, FFT inherently assumes signal is periodic in nature, and it provides misleading results under unbalanced and distorted grid conditions. To overcome these issues, this work proposes a new method for wind power grid codes based on time-frequency analysis technique. Unlike FFT, it provides accurate result both in steady-state and transient conditions. The efficacy of the proposed method is verified by applying it to computer simulated and real-world cases provided by National Renewable Energy Laboratory (NREL) in the US. Time-frequency analysis is performed utilizing Time-Frequency Toolbox (TFTB) in MaTLaB® developed for the analysis of non-stationary signals.
KW - Fast Fourier transform
KW - grid codes
KW - power systems
KW - time-frequency distribution
KW - wind power
UR - http://www.scopus.com/inward/record.url?scp=85079780620&partnerID=8YFLogxK
U2 - 10.1109/aCCESS.2020.2966907
DO - 10.1109/aCCESS.2020.2966907
M3 - Article
AN - SCOPUS:85079780620
VL - 8
SP - 15931
EP - 15944
JO - IEEE Access
JF - IEEE Access
M1 - 8960274
ER -
