Employing instantaneous positive sequence symmetrical components for voltage sag source relative location

Mohammadi, Younes; Moradi, Mohammad H.; Leborgne, Roberto Chouhy

doi:10.1016/j.epsr.2017.05.030

Cited by 17 publications

(5 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Fortescue transform is also widely used to analyze unbalanced power systems. It has been used for the characterization of voltage sags [7,33,34], and for determining the relative location of voltage sag origins [35,36]. But, to the best of our knowledge, it has not been applied for the classification of the causes of voltage sags.…”

Section: Problem Statement and Related Workmentioning

confidence: 99%

Classification of voltage sags causes in industrial power networks using multivariate time‐series

Veizaga

Delpha

Diallo

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

Voltage sags are the most frequent and impactful disturbances in industrial power grids, leading to high financial losses for industrial clients. The identification of the cause and its relative location is crucial for the contractual relation between the energy provider and the industrial customers. This paper proposes a methodology to identify the origins of voltage sags based on instantaneous symmetrical components and dynamic time warping. Short-Time Fourier and Fortescue transform are implemented in the pre-processing step using the voltage and current waveforms. Then, a distance-based classification strategy to identify the sources of voltage sags is used. It relies on a four-dimension time-series signature used as features. Moreover, a confidence index associated with the classification output is provided. The proposal offers an easy implementation in industrial applications with no previous recorded data. It has the benefit of using a reduced-size reference database entirely composed of synthetic data. The main advantages of the proposed method are its generalization capabilities and the possibility of raising an alert based on the confidence index. The obtained classification accuracy on synthetic data with seven causes is 100%. The method reaches a classification F1-score higher than 99% with field measurements representing five classes obtained from three different industrial sites.

show abstract

Section: Problem Statement and Related Workmentioning

confidence: 99%

Classification of voltage sags causes in industrial power networks using multivariate time‐series

Veizaga

Delpha

Diallo

et al. 2023

IET Generation Trans & Dist

View full text Add to dashboard Cite

show abstract

“…32 These generalizations improved the accuracy of relative location of sag sources. Then, Mohammadi et al generalized methods 7,16,17,21,24 to the new methods 33 based on instantaneous positive sequence components. They also presented a comprehensive survey of existing methods 34 method using a machine learning approach and a support vector machine tool that included the advantages of previous methods and had the highest accuracy.…”

Section: Previous and Related Workmentioning

confidence: 99%

Relative location of voltage sags source at the point of common coupling of constant power loads in distribution systems

Mohammadi

Leborgne

2020

Int Trans Electr Energ Syst

Self Cite

View full text Add to dashboard Cite

Summary Constant power (Scte) loads such as large induction motors or power converters in customer facilities of distribution systems have a significant effect on the fault currents and thus on the relative location of voltage sag sources. This paper evaluates the methods for determining the relative location of voltage sag sources at the point of common coupling (PCC) of Scte loads. The results of simulating 800 voltage sag events on IEEE 13 bus unbalance system (modelled by ATP) show that many of the methods fail at classifying upstream (US) faults at the PCC of Scte loads. Therefore, a new method is introduced using the ratio of current magnitudes and changes of power angle in positive sequence components, during and before the voltage sag, with a determined threshold for the currents and a specified tolerance for the power angle obtained from voltage sags generated by different fault types. The results obtained in the proposed index for similar simulation cases show that the method applied to monitors installed at the PCC of the Scte loads is very accurate. Also, the proposed index is effective for higher resistance faults and changes in the short circuit capacity (SCC) of the main grid.

show abstract

“…However, when a short-circuit fault occurs in the power system, it causes power quality issues, such as voltage sag and short interruption (Nagata et al, 2018;Wang et al, 2019;Ye et al, 2019), which affect the normal operation of EMR. Voltage sag even causes the malfunction and damage of EMR in severe cases (Wu and Fan, 2015;Jianbo and Qi, 2018), then leading to the failure of the whole industrial process and resulting in the huge economic losses (Mohammadi et al, 2017;De Santis et al, 2018;Gambôa et al, 2019). For example, (Bollen, 2000) records that the tripping of EMR under one voltage sag event "cause the shutdown of a large chemical plant, leading to perhaps $100,000 in lost production."…”

Section: Introductionmentioning

confidence: 99%

Tolerance of Electromagnetic Relay to Voltage Sags and Short Interruptions

2021

View full text Add to dashboard Cite

This paper studies the tolerance of electromagnetic relay (EMR) under voltage sag and short interruptions on the basis of response mechanism analysis and the extensive tests. First, it introduces the structure of EMR and proposes response mechanism of EMR under voltage sag. Then, a detailed test plan is presented, including the information of test platform, testing condition, EMRs used in test, list of test, test procedure, and the measured waveforms. Magnitude and duration of the sags are not only the characteristics to be considered to investigate EMR’s tolerance. The other factors, which may have significance influence on tolerance of EMR, are considered here, including point-on-wave (POW), phase angle jump (PAJ), harmonic, magnitude variation in pre- and post-sag segments, two-stage sag, and slow recovery sag. Extensive tests results are presented in the form of voltage-tolerance curves (VTCs). Besides magnitude and duration, POW, PAJ, and two-stage sag have a significant influence on the tolerance of EMR. Other factors only have a tiny impact on the tolerance of EMR. The results show that the magnitude tolerance of EMR is 48–74% of Unom, and duration tolerance is 5–28 ms; they are useful for the technical assessment of EMR’s tolerance to voltage sags and short interruptions, and for the economic assessment of the industry process trip due to its disengagement. Test results also benefit for choosing proper EMR and mitigation device in the complicated operating environment.

show abstract

Employing instantaneous positive sequence symmetrical components for voltage sag source relative location

Cited by 17 publications

References 28 publications

Classification of voltage sags causes in industrial power networks using multivariate time‐series

Classification of voltage sags causes in industrial power networks using multivariate time‐series

Relative location of voltage sags source at the point of common coupling of constant power loads in distribution systems

Tolerance of Electromagnetic Relay to Voltage Sags and Short Interruptions

Contact Info

Product

Resources

About