Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems
This research paper introduces the Generalized Continuous Mixed P-Norm Sub-Band Adaptive Filtering (GCMPNSAF) algorithm, designed for efficient online control of Superconducting Magnetic Energy Storage Devices (SMESDs) in Wind Energy Systems (WESs). The primary objective of this algorithm is for min...
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| مؤلفون آخرون: | , , , , , |
| التنسيق: | article |
| منشور في: |
2023
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://dx.doi.org/10.1016/j.asej.2023.102343 https://www.sciencedirect.com/science/article/pii/S2090447923002320 http://hdl.handle.net/10576/62108 |
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| _version_ | 1857415084465192960 |
|---|---|
| author | Rania A., Turky |
| author2 | Abdelsalam, Tarek S. Hasanien, Hany M. Alharbi, Mohammed Ullah, Zia Muyeen, S.M. Abdeen, Amr M. |
| author2_role | author author author author author author |
| author_facet | Rania A., Turky Abdelsalam, Tarek S. Hasanien, Hany M. Alharbi, Mohammed Ullah, Zia Muyeen, S.M. Abdeen, Amr M. |
| author_role | author |
| dc.creator.none.fl_str_mv | Rania A., Turky Abdelsalam, Tarek S. Hasanien, Hany M. Alharbi, Mohammed Ullah, Zia Muyeen, S.M. Abdeen, Amr M. |
| dc.date.none.fl_str_mv | 2023-06-24 2025-01-12T08:31:38Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.asej.2023.102343 Turky, R. A., Abdelsalam, T. S., Hasanien, H. M., Alharbi, M., Ullah, Z., Muyeen, S. M., & Abdeen, A. M. (2023). Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems. Ain Shams Engineering Journal, 14(7), 102343. 2090-4479 https://www.sciencedirect.com/science/article/pii/S2090447923002320 http://hdl.handle.net/10576/62108 7 14 2090-4495 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Adaptive control Power systems SMESD Wind energy systems |
| dc.title.none.fl_str_mv | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | This research paper introduces the Generalized Continuous Mixed P-Norm Sub-Band Adaptive Filtering (GCMPNSAF) algorithm, designed for efficient online control of Superconducting Magnetic Energy Storage Devices (SMESDs) in Wind Energy Systems (WESs). The primary objective of this algorithm is for minimizing power ripples in WESs. The Wind Energy System (WES) under consideration is tied to the IEEE 39 bus system, with the Superconducting Magnetic Energy Storage Device (SMESD) integrated at the point of common coupling. The GCMPNSAF algorithm is applied to update or adapt proportional-integral (PI) controller gains of SMESD interface circuits. The proposed algorithm is an enhanced version of the CMPN by adding the sub-band filtering algorithm effect. It depends mainly on the actuating error signal, and it has a variable step size of the CMPN. The detailed modeling of the whole system is presented, including measured wind speed data, detailed switching techniques, a drive train model of the turbine, and real SMESD. The efficacy of the proposed SMESD has been validated through a comparative analysis with the Least Mean Square-SMESD approach, under conditions of varying and unpredictable wind speeds. The simulation results produced by the PSCAD software are used to evaluate the study's validity. The utilization of controlled SMESDs has the potential to significantly enhance the power quality of WESs. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_016f76a82b38d780b31a0dec9e891549 |
| identifier_str_mv | Turky, R. A., Abdelsalam, T. S., Hasanien, H. M., Alharbi, M., Ullah, Z., Muyeen, S. M., & Abdeen, A. M. (2023). Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems. Ain Shams Engineering Journal, 14(7), 102343. 2090-4479 7 14 2090-4495 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/62108 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| spelling | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systemsRania A., TurkyAbdelsalam, Tarek S.Hasanien, Hany M.Alharbi, MohammedUllah, ZiaMuyeen, S.M.Abdeen, Amr M.Adaptive controlPower systemsSMESDWind energy systemsThis research paper introduces the Generalized Continuous Mixed P-Norm Sub-Band Adaptive Filtering (GCMPNSAF) algorithm, designed for efficient online control of Superconducting Magnetic Energy Storage Devices (SMESDs) in Wind Energy Systems (WESs). The primary objective of this algorithm is for minimizing power ripples in WESs. The Wind Energy System (WES) under consideration is tied to the IEEE 39 bus system, with the Superconducting Magnetic Energy Storage Device (SMESD) integrated at the point of common coupling. The GCMPNSAF algorithm is applied to update or adapt proportional-integral (PI) controller gains of SMESD interface circuits. The proposed algorithm is an enhanced version of the CMPN by adding the sub-band filtering algorithm effect. It depends mainly on the actuating error signal, and it has a variable step size of the CMPN. The detailed modeling of the whole system is presented, including measured wind speed data, detailed switching techniques, a drive train model of the turbine, and real SMESD. The efficacy of the proposed SMESD has been validated through a comparative analysis with the Least Mean Square-SMESD approach, under conditions of varying and unpredictable wind speeds. The simulation results produced by the PSCAD software are used to evaluate the study's validity. The utilization of controlled SMESDs has the potential to significantly enhance the power quality of WESs.This work was supported by the Researchers Supporting Project number ( RSP2023R467 ), King Saud University, Riyadh, Saudi Arabia.Elsevier2025-01-12T08:31:38Z2023-06-24Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.asej.2023.102343Turky, R. A., Abdelsalam, T. S., Hasanien, H. M., Alharbi, M., Ullah, Z., Muyeen, S. M., & Abdeen, A. M. (2023). Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems. Ain Shams Engineering Journal, 14(7), 102343.2090-4479https://www.sciencedirect.com/science/article/pii/S2090447923002320http://hdl.handle.net/10576/621087142090-4495enhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/621082025-01-12T19:05:14Z |
| spellingShingle | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems Rania A., Turky Adaptive control Power systems SMESD Wind energy systems |
| status_str | publishedVersion |
| title | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems |
| title_full | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems |
| title_fullStr | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems |
| title_full_unstemmed | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems |
| title_short | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems |
| title_sort | Adaptive controlled superconducting magnetic energy storage devices for performance enhancement of wind energy systems |
| topic | Adaptive control Power systems SMESD Wind energy systems |
| url | http://dx.doi.org/10.1016/j.asej.2023.102343 https://www.sciencedirect.com/science/article/pii/S2090447923002320 http://hdl.handle.net/10576/62108 |