Harmonic indices for continuous evaluation of consumer's harmonic contribution

Nowadays, the determination of the contribution of individual customers to the harmonic pollution of an electric power network is very essential for power quality improvement. In this study, four new indices are introduced to investigate the effect of harmonic contribution (HC) of the pollutant customers for an arbitrary time period without any access to a network model. These indices are defined according to data measured at the connection point of the suspicious loads and targeted buses under study. In this regard, a continuous HC matrix is developed where its entries are determined by using a new multi-point and continuous HC calculation method without having to measure the phase angle, which makes this method practical and cost-effective. The method and indices are applied to a standard power network-based calculation example. In addition, experimental measurements, which are gathered based on the Isfahan city and Iran electric power transmission systems, are carefully analysed. The results demonstrated the capability of the proposed algorithm to evaluate the effects of harmonic sources in power networks.

[1]  Zhengyou He,et al.  Adaptive method for harmonic contribution assessment based on hierarchical K -means clustering and Bayesian partial least squares regression , 2016 .

[2]  Hossein Mokhtari,et al.  New method for assessing the utility harmonic impedance based on fuzzy logic , 2017 .

[3]  Hossein Mokhtari,et al.  Technique for online tracking of a utility harmonic impedance using by synchronising the measured samples , 2016 .

[4]  Ubiratan Holanda Bezerra,et al.  Using linear and non-parametric regression models to describe the contribution of non-linear loads on the voltage harmonic distortions in the electrical grid , 2016 .

[5]  Paul S. Wright,et al.  Multiple-Site Amplitude and Phase Measurements of Harmonics for Analysis of Harmonic Propagation on Bornholm Island , 2017, IEEE Transactions on Instrumentation and Measurement.

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

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

[8]  Enrico Zio,et al.  A Bayesian Optimal Design for Accelerated Degradation Testing Based on the Inverse Gaussian Process , 2017, IEEE Access.

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

[10]  Martin Valtierra-Rodriguez,et al.  Instantaneous Power Quality Indices Based on Single-Sideband Modulation and Wavelet Packet-Hilbert Transform , 2017, IEEE Transactions on Instrumentation and Measurement.

[11]  Yi Pan,et al.  Multi-Harmonic Sources Harmonic Contribution Determination Based on Data Filtering and Cluster Analysis , 2019, IEEE Access.

[12]  Yang Xiu,et al.  Power quality indexes prediction based on cluster analysis and support vector machine , 2017 .

[13]  Zhiqi Wang,et al.  Study on Constraints for Harmonic Source Determination Using Active Power Direction , 2018, IEEE Transactions on Power Delivery.

[14]  Yang Wang,et al.  Characteristics of Harmonic Distortions in Residential Distribution Systems , 2017, IEEE Transactions on Power Delivery.

[15]  Salvatore Nuccio,et al.  Comparison of Nonactive Powers for the Detection of Dominant Harmonic Sources in Power Systems , 2008, IEEE Transactions on Instrumentation and Measurement.

[16]  Hasan Dirik,et al.  A Computation and Metering Method for Harmonic Emissions of Individual Consumers , 2019, IEEE Transactions on Instrumentation and Measurement.

[17]  Biao Huang,et al.  Determining the harmonic impacts of multiple harmonic-producing loads , 2011, 2011 IEEE Power and Energy Society General Meeting.

[18]  Johan Rens,et al.  Continuous Event-Based Harmonic Impedance Assessment Using Online Measurements , 2016, IEEE Transactions on Instrumentation and Measurement.

[19]  Paulo F. Ribeiro,et al.  Harmonic emission limits and responsibilities at a point of connection , 2012 .

[20]  V. Suresh Kumar,et al.  Determining true harmonic contributions of sources using neural network , 2016, Neurocomputing.

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

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

[23]  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.

[24]  Pavlos S. Georgilakis,et al.  Evaluation of harmonic contribution to unbalance in power systems under non-stationary conditions using wavelet packet transform , 2020 .

[25]  Ali Dastfan,et al.  K-means clustering and correlation coefficient based methods for detection of flicker sources in non-radial power system , 2014 .

[26]  Dalibor Brnobic,et al.  Indices for Harmonic Distortion Monitoring of Power Distribution Systems , 2009, 2008 IEEE Instrumentation and Measurement Technology Conference.