On the Dominant Harmonic Source Identification—Part II: Application and Interpretation of Methods

Safargholi, Farhad; Malekian, Kaveh; Schufft, Wolfgang

doi:10.1109/tpwrd.2017.2751673

Cited by 36 publications

(12 citation statements)

References 19 publications

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“…For the steady-state operation of power grid, in a very short time interval of adjacent sample points, () u n Z is a small value. For the same reason, the background harmonic can be considered as stable and the fluctuation 8 VOLUME XX, 2017…”

Section: A the Objective Function Based On The Minimum Norm Criterionmentioning

confidence: 99%

“…With the widespread use of power electronic devices in power system, harmonic distortions have become one of the main concerns [1]- [5]. Because multi-infeed HVDC terminals, renewable energy converters, and electrical vehicle charging stations, etc., can inject a mass of harmonic into power system, which may cause the waveform distortions of voltage and current in the grid, and harms the stable operation of grid [6]- [8].…”

Section: Introductionmentioning

confidence: 99%

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Study on the Estimation of Utility Harmonic Impedance Based on Minimum Norm of Impedance Difference

Wang

Shu

et al. 2020

IEEE Access

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The existing methods for estimating harmonic impedance usually assume that harmonic impedance is constant in a measurement period. However, for a variety of practical reasons, such as the load change of power grid, utility harmonic impedance may be changed. So a reasonable hypothesis is that utility harmonic impedance is time-varying, but the variation of the impedance is not large at adjacent sampling time. Thus, this paper proposes a novel method to estimate utility harmonic impedance by taking the criterion of minimum norm of impedance differences at adjacent sampling times with a measurement period. According to the proposed criterion, an objective function is built with the norm of the harmonic impedance differences and utility harmonic voltage differences of adjacent moments. And then, the utility harmonic impedance can be obtained by minimizing the objective function. The proposed method has high accuracy even while background harmonic emission level is high and harmonic impedance of customer side is not much larger than that of utility side. The effectiveness is verified by the simulation and field cases. In the simulation, the estimation errors of most cases are within 10% and the maximum error is not exceed 16%.

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Section: A the Objective Function Based On The Minimum Norm Criterionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on the Estimation of Utility Harmonic Impedance Based on Minimum Norm of Impedance Difference

Wang

Shu

et al. 2020

IEEE Access

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show abstract

“…Experiments were carried out to provide a numerical comparison of the errors produced by each method under conditions of inaccurate data, resonance, and voltage unbalance. The analysis of [18, 19] showed that in the case of a dominant source of distortion (i.e. when other HD sources can be neglected), the method of directed active power [3–6] can be appropriate, whereas in the case of multiple HD sources, the method using reactive power [10] and the method based on the voltage–current ratio [14–17] can perform better.…”

Section: Introductionmentioning

confidence: 99%

Revisiting the active power direction method

Shcherbakova

Senderovych

Abramovitz

2021

IET Generation Trans & Dist

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This paper presents a re‐examination of the active power direction method for locating the distortion sources in the power distribution network. The inaccuracies in the earlier analysis challenging the active power direction method are identified, and the claim of the inconsistency of the method is re‐examined. The article shows the derivation of the expression for the complex power, from which the equation for the active power flow through the point of measurement was derived in an explicit and in a normalised form. The derivations allow establishing the consumer dominance range at any harmonic frequency easily. Simulation results decisively support the theoretical findings. It is suggested that the main cause of uncertainty associated with the active power direction method is the stochastic nature of the amplitude and, especially, the phase between the harmonic current components.

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“…For instance, most recent evaluation methods [3–5] have been developed based on the Norton or Thévenin equivalent circuits. In [6, 7], it has been demonstrated that the new methods with such detailed models result in a better evaluation of the harmonic behaviour. The IEC standardisation group ‘TC88 MT21’ has focused on providing technical guidance concerning the wind turbine harmonic models and has contributed greatly to bring the overall concept of the harmonic model closer to the industry [8].…”

Section: Introductionmentioning

confidence: 99%

Harmonic model validation of power generation units

Malekian

Safargholi

Schufft

et al. 2020

IET Renewable Power Generation

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This study addresses the validation of harmonic models for power generation units considering practical aspects associated with test-bench and on-site measurements. A new method is proposed for the harmonic model validation. This method has been developed within the joint research project 'NetzHarmonie,' which deals with the study of harmonic emissions of renewable energy sources in the power system. The main idea for model validation is to compare the harmonic voltagecurrent characteristic of the model with the measured harmonic voltage-current pairs. This idea is implemented in a practical process by considering measurement uncertainties as well as the time variation of harmonics. In the validation process, measurement data should meet the given requirements to verify whether they are suitable for the task of validation. The application of the proposed model validation process to photovoltaic and wind power generation units with different topologies and power classes is thoroughly addressed as well. The application of the proposed process is illustrated in detail for selected harmonic orders from these measurement campaigns. This study aims to provide a scientific foundation for the consideration of the harmonic model validation of power generation units in future standards.

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On the Dominant Harmonic Source Identification—Part II: Application and Interpretation of Methods

Cited by 36 publications

References 19 publications

Study on the Estimation of Utility Harmonic Impedance Based on Minimum Norm of Impedance Difference

Study on the Estimation of Utility Harmonic Impedance Based on Minimum Norm of Impedance Difference

Revisiting the active power direction method

Harmonic model validation of power generation units

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