Method for determining customer contribution to harmonic variations in a large power network

Kandev, N. P.; Chénard, Sylvain

doi:10.1109/ichqp.2010.5625415

Cited by 5 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Utilizing a statistical vision, Yin et al [19] explored statistics tools that provide a solution for identifying sources of harmonic distortions in electric networks with multiple nonlinear loads. Methods with multiple linear regression and partial correlation analysis were proposed.…”

Section: Related Workmentioning

confidence: 99%

Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids

Monteiro

Tostes

et al. 2019

Energies

View full text Add to dashboard Cite

Currently, for analyzing harmonic impacts on voltage at a point of interest, due to multiple nonlinear loads, the literature recommends carrying out simultaneous and synchronized measurement campaigns in all suspicious points with the use of high cost energy quality analyzers that are usually not available at the customers’ facilities and very often also not at the electric utilities. To overcome this drawback this paper proposes a method of assessing the harmonic impact due to multiple nonlinear loads on the total voltage harmonic distortion using only the load current true RMS values which are already available in all customers’ installations. The proposed methodology is based on Regression Tree technique using the Permutation Importance indicator which is validated in two case studies using two different electrical systems. The first case study is to ratify the use of Permutation Importance to measure the impact factor of each nonlinear load in a controlled scenario, the IEEE-13 bus test system, using ATP simulation (Alternative Transient Program). The second is to apply the methodology to a real system, an Advanced Measurement Infrastructure System (AMI) implanted on a campus of a Brazilian University, using low cost meters with only true RMS current measurements. The results achieved demonstrated the feasibility of applying the proposed methodology in real electric systems without the need for additional investments in high-cost energy quality analyzers.

show abstract

Section: Related Workmentioning

confidence: 99%

Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids

Monteiro

Tostes

et al. 2019

Energies

View full text Add to dashboard Cite

show abstract

“…Different from the previous approaches that consider the PCC as the point of interest, the second approach to treat this problem, found in references [17][18][19][20][21], developed data-based methodologies to determine the harmonic distortion contribution of multiple individual loads at a specific location in the electrical grid, not necessary the PCC. In [18,19], the impact estimate over the harmonic voltage distortion due to a specific harmonic load current is obtained from a linear regression model, supposing that, during the period of analysis, only one load current is varying while the other harmonic load currents, defined as background harmonic sources, are considered constant.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Harmonic Distortions on Grid Voltages Due to Multiple Nonlinear Loads Using Artificial Neural Networks

et al. 2018

View full text Add to dashboard Cite

This paper presents a procedure to estimate the impacts on voltage harmonic distortion at a point of interest due to multiple nonlinear loads in the electrical network. Despite artificial neural networks (ANN) being a widely used technique for the solution of a large amount and variety of issues in electric power systems, including harmonics modeling, its utilization to establish relationships among the harmonic voltage at a point of interest in the electric grid and the corresponding harmonic currents generated by nonlinear loads was not found in the literature, thus this innovative procedure is considered in this article. A simultaneous measurement campaign must be carried out in all nonlinear loads and at the point of interest for data acquisition to train and test the ANN model. A sensitivity analysis is proposed to establish the percent contribution of load currents on the observed voltage distortion, which constitutes an original definition presented in this paper. Initially, alternative transient program (ATP) simulations are used to calculate harmonic voltages at points of interest in an industrial test system due to nonlinear loads whose harmonic currents are known. The resulting impacts on voltage harmonic distortions obtained by the ATP simulations are taken as reference values to compare with those obtained by using the proposed procedure based on ANN. By comparing ATP results with those obtained by the ANN model, it is observed that the proposed methodology is able to classify correctly the impact degree of nonlinear load currents on voltage harmonic distortions at points of interest, as proposed in this paper.

show abstract

“…Under certain condition, the harmonic voltage and current all fluctuate simultaneously. The methods above cannot reflect the variation of harmonic voltage and current while the influence of utility harmonic voltage fluctuation is considered in [19][20][21]. In the previous study of the authors, an adaptive assessment approach [19] for harmonic responsibility under utility harmonic voltage variation was proposed.…”

Section: Introductionmentioning

confidence: 99%

A Piecewise Bound Constrained Optimization for Harmonic Responsibilities Assessment under Utility Harmonic Impedance Changes

Zang

Wang

et al. 2017

Energies

View full text Add to dashboard Cite

Considering the effect of the utility harmonic impedance variations on harmonic responsibility, a method based on piecewise bound constrained optimization is proposed in this paper to evaluate the load harmonic responsibilities. The wavelet packet transform is employed to determine the change times of the utility harmonic impedances. The harmonic monitoring data is divided into several segments where the utility harmonic impedances are considered as constants. Then, the problem of harmonic responsibility assessment under utility harmonic impedance changes are settled by the piecewise bound constrained optimization model. Furthermore, the interior point, the sequential quadratic programming and the active set algorithm are respectively adopted to calculate all the instantaneous harmonic responsibilities of harmonic loads. Finally, the weighted summation is used to calculate the total harmonic responsibility. To demonstrate the validity, simulation tests are carried out on an experimental circuit and the IEEE 13-bus distribution system.

show abstract

Method for determining customer contribution to harmonic variations in a large power network

Cited by 5 publications

References 3 publications

Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids

Using True RMS Current Measurements to Estimate Harmonic Impacts of Multiple Nonlinear Loads in Electric Distribution Grids

Evaluating Harmonic Distortions on Grid Voltages Due to Multiple Nonlinear Loads Using Artificial Neural Networks

A Piecewise Bound Constrained Optimization for Harmonic Responsibilities Assessment under Utility Harmonic Impedance Changes

Contact Info

Product

Resources

About