A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement
A Novel Intelligent control of a Unified Power Quality Conditioner (UPQC) coupled with Photovoltaic (PV) system is proposed in this work. The utilization of a Re-lift Luo converter in conjunction with a Cascaded Artificial Neural Network (ANN) Maximum Power Point Tracking (MPPT) method facilitates t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Polish Academy of Sciences
2023-09-01
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| Series: | International Journal of Electronics and Telecommunications |
| Subjects: | |
| Online Access: | https://journals.pan.pl/Content/128303/PDF/27-28-3867-Rudraram-sk.pdf |
| _version_ | 1797729148179841024 |
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| author | Ramesh Rudraram Sasi Chinnathambi Manikandan Mani |
| author_facet | Ramesh Rudraram Sasi Chinnathambi Manikandan Mani |
| author_sort | Ramesh Rudraram |
| collection | DOAJ |
| description | A Novel Intelligent control of a Unified Power Quality Conditioner (UPQC) coupled with Photovoltaic (PV) system is proposed in this work. The utilization of a Re-lift Luo converter in conjunction with a Cascaded Artificial Neural Network (ANN) Maximum Power Point Tracking (MPPT) method facilitates the optimization of power extraction from PV sources. UPQC is made up of a series and shunt Active Power Filter (APF), where the former compensates source side voltage quality issues and the latter compensates the load side current quality issues. The PV along with a series and shunt APFs of the UPQC are linked to a common dc-bus and for regulating a dc-bus voltage a fuzzy tuned Adaptive PI controller is employed. Moreover, a harmonics free reference current is generated with the aid of CNN assisted dq theory in case of the shunt APF. The results obtained from MATLAB simulation. |
| first_indexed | 2024-03-12T11:25:50Z |
| format | Article |
| id | doaj.art-18de2bbac4d649dbbb147c5fa8360843 |
| institution | Directory Open Access Journal |
| issn | 2081-8491 2300-1933 |
| language | English |
| last_indexed | 2024-03-12T11:25:50Z |
| publishDate | 2023-09-01 |
| publisher | Polish Academy of Sciences |
| record_format | Article |
| series | International Journal of Electronics and Telecommunications |
| spelling | doaj.art-18de2bbac4d649dbbb147c5fa83608432023-09-01T08:56:54ZengPolish Academy of SciencesInternational Journal of Electronics and Telecommunications2081-84912300-19332023-09-01vol. 69No 3605613https://doi.org/10.24425/ijet.2023.146514A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality EnhancementRamesh Rudraram0Sasi Chinnathambi1Manikandan Mani2Electrical Engineering Department, Annamalai University, Annamalainagar, IndiaElectrical Engineering Department, Annamalai University, Annamalainagar, IndiaElectrical and Electronics Engineering Department, Jyothishmathi Institute of Technology and Science, Karimnagr, Telangana, IndiaA Novel Intelligent control of a Unified Power Quality Conditioner (UPQC) coupled with Photovoltaic (PV) system is proposed in this work. The utilization of a Re-lift Luo converter in conjunction with a Cascaded Artificial Neural Network (ANN) Maximum Power Point Tracking (MPPT) method facilitates the optimization of power extraction from PV sources. UPQC is made up of a series and shunt Active Power Filter (APF), where the former compensates source side voltage quality issues and the latter compensates the load side current quality issues. The PV along with a series and shunt APFs of the UPQC are linked to a common dc-bus and for regulating a dc-bus voltage a fuzzy tuned Adaptive PI controller is employed. Moreover, a harmonics free reference current is generated with the aid of CNN assisted dq theory in case of the shunt APF. The results obtained from MATLAB simulation.https://journals.pan.pl/Content/128303/PDF/27-28-3867-Rudraram-sk.pdfpv systemre-lift luo dc-dc convertercascaded ann mpptadaptive pi controllercnn assisted dq theory |
| spellingShingle | Ramesh Rudraram Sasi Chinnathambi Manikandan Mani A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement International Journal of Electronics and Telecommunications pv system re-lift luo dc-dc converter cascaded ann mppt adaptive pi controller cnn assisted dq theory |
| title | A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement |
| title_full | A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement |
| title_fullStr | A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement |
| title_full_unstemmed | A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement |
| title_short | A Novel Intelligent Neural Network Techniques of UPQC with Integrated Solar PV System for Power Quality Enhancement |
| title_sort | novel intelligent neural network techniques of upqc with integrated solar pv system for power quality enhancement |
| topic | pv system re-lift luo dc-dc converter cascaded ann mppt adaptive pi controller cnn assisted dq theory |
| url | https://journals.pan.pl/Content/128303/PDF/27-28-3867-Rudraram-sk.pdf |
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