TY - GEN
T1 - Modified Kalman Filtering Method to Reduce the Error of Power Grid Impedance Online Estimation
AU - Cheng, Yanqi
AU - Wu, Weimin
AU - Chung, Henry
AU - Blaabjerg, Frede
AU - Eftychios, Koutroulis
AU - Zhu, Lixun
PY - 2021
Y1 - 2021
N2 - In the power electric based power system, the grid impedance may change over time, which seriously affects the control and stability of the grid-connected converters. The existing methods usually had used Kalman filter method to detect the real grid impedance in real time. However, there is always a certain error between the estimated result and the true value. This article first establishes the Kalman observation model, and then analyzes the reason for the Kalman filter observation error. In order to eliminate the Kalman filter observation error as much as possible, a new method of predicting the grid impedance error, that is, the univariate linear regression method, can make the grid impedance value more accurate. Simulation has verified the effectiveness of the method.
AB - In the power electric based power system, the grid impedance may change over time, which seriously affects the control and stability of the grid-connected converters. The existing methods usually had used Kalman filter method to detect the real grid impedance in real time. However, there is always a certain error between the estimated result and the true value. This article first establishes the Kalman observation model, and then analyzes the reason for the Kalman filter observation error. In order to eliminate the Kalman filter observation error as much as possible, a new method of predicting the grid impedance error, that is, the univariate linear regression method, can make the grid impedance value more accurate. Simulation has verified the effectiveness of the method.
KW - error model
KW - grid impedance estimation
KW - Kalman filter
KW - LCL-filter
KW - online estimation
UR - http://www.scopus.com/inward/record.url?scp=85114198474&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85114198474&origin=recordpage
U2 - 10.1109/ECCE-Asia49820.2021.9479087
DO - 10.1109/ECCE-Asia49820.2021.9479087
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 978-1-7281-6344-4
T3 - Proceedings of the Energy Conversion Congress and Exposition - Asia, ECCE Asia
SP - 2163
EP - 2168
BT - Proceedings of the Energy Conversion Congress and Exposition – Asia, 2021 (ECCE Asia 2021)
PB - IEEE
T2 - 12th IEEE Energy Conversion Congress and Exposition - Asia (ECCE Asia 2021)
Y2 - 24 May 2021 through 27 May 2021
ER -