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| 2. |
- de Oliveira, Roger Alves, et al.
(författare)
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Analysing Waveform Distortion in Wind Power Plants by a Deep Learning-Based Graphical Tool
- 2022
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Ingår i: 2022 20th International Conference on Harmonics & Quality of Power (ICHQP) Proceedings. - : IEEE.
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Konferensbidrag (refereegranskat)abstract
- This work shows an application of a deep learning-based graphical tool for analyzing waveform distortion in wind power plants. The tool consists of a deep autoencoder followed by a clustering algorithm. Previous applications of such a tool have covered harmonic emission which follows daily patterns. The challenge of measurements in wind power plants is the intermittence of the power production, which can vary in a time frame of minutes and hours. To this point, this work proposes a modification of a DL method presented in the literature to address measurements from wind power plants. The method can automatically obtain the number of clusters. The method is applied to harmonic measurements from H2 to H50 and active power in a Brazilian wind power plant. The graphical results allowed obtaining the correlation between patterns of odd and even current harmonic with the active power generated by a wind power plant.
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| 4. |
- De Souza Salles, Rafael, et al.
(författare)
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Classification of Scalogram Signatures for Power Quality Disturbances Using Transfer Learning
- 2022
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Ingår i: 2022 20th International Conference on Harmonics & Quality of Power (ICHQP) Proceedings. - : IEEE. - 9781665416399
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Konferensbidrag (refereegranskat)abstract
- The electrical power systems have gone through a process of transformations that will remain characterized by a wide penetration of renewable sources, electronic devices, and computerization. In this context, Power Quality (PQ) is associated with several challenges for the sector, presenting new issues and new scenarios for old problems. Signal processing (SP) plays an essential role in PQ applications as a tool that helps measure, characterize, and visualize electrical grid disturbances. At the same time, artificial intelligence (AI) is becomming more and more useful to classification tasks regarding PQ disturbances . This work aims to employ a transfer learning methodology for PQ disturbances classification. Wavelet scalograms of the signal are created using CWT for feature extraction of time-frequency signatures. The 2-D images of this representation are used to train and test pre-trained CNN models’ performance. The work aims to contribute to PQ disturbances classification through innovative methods and assess the performance of different CNNs models that have a significant role in image classification. The performance of four network models is assessed: ResNet-18, VGG-19, Inception-v3, and ResNet-101. Discussion and consideration about the results provide evaluation of the methodology.
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| 5. |
- De Souza Salles, Rafael, et al.
(författare)
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Interharmonic Analysis for Static Frequency Converter Station Supplying a Swedish Catenary System
- 2022
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Ingår i: 2022 20th International Conference on Harmonics & Quality of Power (ICHQP) Proceedings. - : IEEE.
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Konferensbidrag (refereegranskat)abstract
- The paper aims to present a waveform distortion analysis focused on interharmonics in measurements from a 70 kV busbar feeding a traction supply substation with four static frequency converters (SFC). The substation supplies a Swedish catenary system from 50 Hz public grid to 15 kV 16 ⅔ Hz. The paper assesses the interharmonics for different scenarios regarding the point of a connection configuration between the traction substation and the upstream grid, as well as a change in the number of SFCs connected in the substation. The IEC 61000-4-7 grouping method and spectrograms were used to illustrate the issue. The significant presence of interharmonics calls attention to the subject in railway application. The total indexes help to evaluate the broad picture of the phenomena. The work contributes to the waveform distortion and interharmonics in railway systems studies.
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| 6. |
- De Souza Salles, Rafael, et al.
(författare)
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Waveform Distortion Emission Assessment on Pantograph Measurements from Low-Frequency Railway Electrification
- 2022
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Ingår i: 2022 20th International Conference on Harmonics & Quality of Power (ICHQP) Proceedings. - : IEEE.
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Konferensbidrag (refereegranskat)abstract
- The paper aims to provide a waveform distortion assessment on pantograph current measurements. The data analyzed is regarding a 15 kV 16.7 Hz catenary system from Switzerland. The paper provides a characterization of the rolling stock emission content for different operation modes during a commercial utilization of the vehicle, approaching traditional harmonics, interharmonic and supraharmonic phenomena. In addition, the work provides an adaptation on the interharmonic processing proposed by the IEC 61000-4-7 regarding the 16.7 Hz fundamental frequency. The results contribute to the waveform distortion emission on pantograph measurements subject and railway systems investigation in general.
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| 7. |
- Ribeiro, Paulo Fernando, et al.
(författare)
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Introduction
- 2022
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Ingår i: Interdisciplinary and Social Nature of Engineering Practices. - Cham : Springer. ; , s. 3-19
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Bokkapitel (övrigt vetenskapligt/konstnärligt)
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| 8. |
- Salles, Rafael De Souza, et al.
(författare)
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Review of Waveform Distortion Interactions Assessment in Railway Power Systems
- 2023
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Ingår i: Energies. - : MDPI. - 1996-1073. ; 16:14
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Forskningsöversikt (refereegranskat)abstract
- This work aims to cover the measurement, modeling, and analysis of waveform distortions in railway power systems. It is focused on waveform distortion as a phenomenon that includes harmonic distortion, interharmonic distortion, and supraharmonics. A comprehensive view of the interactions of waveform distortions in railway systems is needed, together with a grid perspective of power quality incorporating all aspects, sources, propagation, requirements, and effects. It is understood that the communities interested or involved in the subject of railway power systems would benefit from an integrated overview of the literature on the complex problem of waveform distortion. The literature review is divided into four categories: characterization and measurements, modeling, the application of artificial intelligence, and specific issues. For each category of work, the contributions are highlighted, and a discussion on opportunities, gaps, and critical observations is provided. The work successfully builds a framework for the subject with two main characteristics; the review is informative and propositional, providing a road map of opportunities for future works. Some aspects and recommendations can be highlighted. Suggestions for future works and research practices on waveform distortion in electrical transportation are offered.
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