New method for assessing the utility harmonic impedance based on fuzzy logic

This study proposes a novel non-invasive method for estimating the utility harmonic impedance. Since the major concern about non-invasive methods is the dependency of the accuracy of the results on background harmonic fluctuations, proper measured samples are selected using a three-point data selection technique to increase the method accuracy. Then, a new non-invasive method for the evaluation of the utility harmonic impedance at a point of common coupling (PCC) based on fuzzy logic is presented. In the proposed method, fuzzy logic is applied to the constrained recursive least squares algorithm (CRLS) by designing a set of fuzzy if-then rules. Due to the changes in the quantities at a PCC(V pcc , I pcc ) because of the changes in the utility and customer sides, these rules are used to determine the magnitude of the forgetting factor of the CRLS in order to estimate the utility harmonic impedance. Analysis of the simulation and real field test results for different cases show that the proposed method is effective in reducing the harmonic impedance calculation error caused by the fluctuations of the background harmonic.

[1]  A. Testa,et al.  A New Method for Statistical Assessment of the System Harmonic Impedance and of the Background Voltage Distortion , 2006, 2006 International Conference on Probabilistic Methods Applied to Power Systems.

[2]  V. Braca,et al.  An improved method for grid impedance estimation by digital controlled PV inverters suitable for ENS detection , 2008 .

[3]  B. Blazic,et al.  Harmonic Contributions Evaluation With the Harmonic Current Vector Method , 2008, IEEE Transactions on Power Delivery.

[4]  A. Dell'Aquila,et al.  New power-quality assessment criteria for supply systems under unbalanced and nonsinusoidal conditions , 2004, IEEE Transactions on Power Delivery.

[5]  José Carlos de Oliveira,et al.  The sharing of responsibility between the supplier and the consumer for harmonic voltage distortion : A case study , 2008 .

[6]  D. Borkowski,et al.  New method for noninvasive measurement of utility harmonic impedance , 2012, 2012 IEEE Power and Energy Society General Meeting.

[7]  Francis M. Fernandez,et al.  Method for separation of customer and utility contributions of harmonics at point of common coupling , 2013 .

[8]  Honggeng Yang,et al.  A New Method to Calculate the Utility Harmonic Impedance Based on FastICA , 2016, IEEE Transactions on Power Delivery.

[9]  W. Freitas,et al.  Utility Harmonic Impedance Measurement Based on Data Selection , 2012, IEEE Transactions on Power Delivery.

[10]  W. Xu,et al.  Harmonic impedance measurement using three-phase transients , 1998 .

[11]  Mehdi Shojaie,et al.  A method for determination of harmonics responsibilities at the point of common coupling using data correlation analysis , 2014 .

[12]  Yang Hong-geng.  A METHOD FOR ASSESSING HARMONIC EMISSION LEVEL BASED ON BINARY LINEAR REGRESSION , 2004 .

[13]  W. M. Grady,et al.  Revenue and harmonics: an evaluation of some proposed rate structures , 1995 .

[14]  Honggeng Yang,et al.  Assessing Utility Harmonic Impedance Based on the Covariance Characteristic of Random Vectors , 2010, IEEE Transactions on Power Delivery.

[15]  Seyed Hossein Hosseinian,et al.  A Novel Method for Noninvasive Estimation of Utility Harmonic Impedance Based on Complex Independent Component Analysis , 2015, IEEE Transactions on Power Delivery.

[16]  Wilsun Xu,et al.  Harmonic impedance measurement using a thyristor-controlled short circuit , 2007 .

[17]  Yilu Liu,et al.  A method for determining customer and utility harmonic contributions at the point of common coupling , 2000 .

[18]  D.W.P. Thomas,et al.  Impedance measurement for improved power quality-Part 1: the measurement technique , 2004, IEEE Transactions on Power Delivery.