Predicting harmonic distortion of multiple converters in a power system
Various uncertainties arise in the operation and management of power systems containing Renewable Energy Sources (RES) that affect the systems power quality. These uncertainties may arise due to system parameter changes or design parameter choice. In this work, the impact of uncertainties on the pre...
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| Format: | Article |
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Hindawi Publishing Corporation
2017
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| Online Access: | https://eprints.nottingham.ac.uk/50174/ |
| _version_ | 1848798175598477312 |
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| author | Ivry, P.M. Oke, O.A. Thomas, D.W.P. Sumner, M. |
| author_facet | Ivry, P.M. Oke, O.A. Thomas, D.W.P. Sumner, M. |
| author_sort | Ivry, P.M. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | Various uncertainties arise in the operation and management of power systems containing Renewable Energy Sources (RES) that affect the systems power quality. These uncertainties may arise due to system parameter changes or design parameter choice. In this work, the impact of uncertainties on the prediction of harmonics in a power system containing multiple Voltage Source Converters (VSCs) is investigated. The study focuses on the prediction of harmonic distortion level in multiple VSCs when some system or design parameters are only known within certain constraints. The Univariate Dimension Reduction (UDR) method was utilized in this study as an efficient predictive tool for the level of harmonic distortion of the VSCs measured at the Point of Common Coupling (PCC) to the grid. Two case studies were considered and the UDR technique was also experimentally validated. The obtained results were compared with that of the Monte Carlo Simulation (MCS) results. |
| first_indexed | 2025-11-14T20:15:36Z |
| format | Article |
| id | nottingham-50174 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:15:36Z |
| publishDate | 2017 |
| publisher | Hindawi Publishing Corporation |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-501742020-05-04T18:48:51Z https://eprints.nottingham.ac.uk/50174/ Predicting harmonic distortion of multiple converters in a power system Ivry, P.M. Oke, O.A. Thomas, D.W.P. Sumner, M. Various uncertainties arise in the operation and management of power systems containing Renewable Energy Sources (RES) that affect the systems power quality. These uncertainties may arise due to system parameter changes or design parameter choice. In this work, the impact of uncertainties on the prediction of harmonics in a power system containing multiple Voltage Source Converters (VSCs) is investigated. The study focuses on the prediction of harmonic distortion level in multiple VSCs when some system or design parameters are only known within certain constraints. The Univariate Dimension Reduction (UDR) method was utilized in this study as an efficient predictive tool for the level of harmonic distortion of the VSCs measured at the Point of Common Coupling (PCC) to the grid. Two case studies were considered and the UDR technique was also experimentally validated. The obtained results were compared with that of the Monte Carlo Simulation (MCS) results. Hindawi Publishing Corporation 2017-06-05 Article PeerReviewed Ivry, P.M., Oke, O.A., Thomas, D.W.P. and Sumner, M. (2017) Predicting harmonic distortion of multiple converters in a power system. Journal of Electrical and Computer Engineering, 2017 . p. 7621413. ISSN 2090-0147 Harmonics Monte Carlo Simulation Power Quality Total Harmonic Distortion Uncertainty Univariate Dimension Reduction Unscented Transform Voltage Source Converters https://www.hindawi.com/journals/jece/2017/7621413/ doi:10.1155/2017/7621413 doi:10.1155/2017/7621413 |
| spellingShingle | Harmonics Monte Carlo Simulation Power Quality Total Harmonic Distortion Uncertainty Univariate Dimension Reduction Unscented Transform Voltage Source Converters Ivry, P.M. Oke, O.A. Thomas, D.W.P. Sumner, M. Predicting harmonic distortion of multiple converters in a power system |
| title | Predicting harmonic distortion of multiple converters in a power system |
| title_full | Predicting harmonic distortion of multiple converters in a power system |
| title_fullStr | Predicting harmonic distortion of multiple converters in a power system |
| title_full_unstemmed | Predicting harmonic distortion of multiple converters in a power system |
| title_short | Predicting harmonic distortion of multiple converters in a power system |
| title_sort | predicting harmonic distortion of multiple converters in a power system |
| topic | Harmonics Monte Carlo Simulation Power Quality Total Harmonic Distortion Uncertainty Univariate Dimension Reduction Unscented Transform Voltage Source Converters |
| url | https://eprints.nottingham.ac.uk/50174/ https://eprints.nottingham.ac.uk/50174/ https://eprints.nottingham.ac.uk/50174/ |