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Multilevel inverters for renewable energy systems
Voltage source inverters have become widely used in the last decade primarily due to the fact that the dangers and limitations of relying on fossil fuel based power generation have been seen and the long term effects felt especially with regards to climate change. Policies and targets have been impl...
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2022
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| _version_ | 1867613212425322496 |
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| access_status_str | Open Access |
| author | Chiwaridzo, Pride |
| author2 | Barendse, Paul |
| author_browse | Barendse, Paul Chiwaridzo, Pride |
| author_facet | Barendse, Paul Chiwaridzo, Pride |
| author_sort | Chiwaridzo, Pride |
| collection | Thesis |
| description | Voltage source inverters have become widely used in the last decade primarily due to the fact that the dangers and limitations of relying on fossil fuel based power generation have been seen and the long term effects felt especially with regards to climate change. Policies and targets have been implemented such as from the United Nations climate change conference (COPxx) concerning human activities that contribute to global warming from individual countries. The most effective way of reducing these greenhouse gases is to turn to renewable energy sources such as the solar, wind etc instead of coal. Converters play the crucial role of converting the renewable source dc power to ac single phase or multiphase. The advancement in research in renewable energy sources and energy storage has made it possible to do things more efficiently than ever before. Regular or 2 level inverters are adequate for low power low voltage applications but have drawbacks when being used in high power high voltage applications as switching components have to be rated upwards and also switch between very high potential differences. To lessen the constraints on the switching components and to reduce the filtering requirements, multilevel inverters (MLI's) are preferred over two level voltage source inverters (VSI's). This thesis discusses the implementation of various types of MLI's and compares four different pulse width modulation (pwm) techniques that are often used in MLI under consideration: three, five, seven and nine level inverters. Harmonic content of the output voltage is recorded across a range of modulation indices for each of the three popular topologies in literature. Output from the inverter is filtered using an L only and an LC filter whose design techniques are presented. A generalized prediction algorithm using machine learning techniques to give the value of the expected THD as the modulation index is varied for a specific topology and PWM switching method is proposed in this study. Simulation and experimental results are produced in five level form to verify and validate the proposed algorithm. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/36740 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:33.381Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/36740 Multilevel inverters for renewable energy systems Chiwaridzo, Pride Barendse, Paul Harmonics machine learning multilevel inverter PWM Voltage source inverters have become widely used in the last decade primarily due to the fact that the dangers and limitations of relying on fossil fuel based power generation have been seen and the long term effects felt especially with regards to climate change. Policies and targets have been implemented such as from the United Nations climate change conference (COPxx) concerning human activities that contribute to global warming from individual countries. The most effective way of reducing these greenhouse gases is to turn to renewable energy sources such as the solar, wind etc instead of coal. Converters play the crucial role of converting the renewable source dc power to ac single phase or multiphase. The advancement in research in renewable energy sources and energy storage has made it possible to do things more efficiently than ever before. Regular or 2 level inverters are adequate for low power low voltage applications but have drawbacks when being used in high power high voltage applications as switching components have to be rated upwards and also switch between very high potential differences. To lessen the constraints on the switching components and to reduce the filtering requirements, multilevel inverters (MLI's) are preferred over two level voltage source inverters (VSI's). This thesis discusses the implementation of various types of MLI's and compares four different pulse width modulation (pwm) techniques that are often used in MLI under consideration: three, five, seven and nine level inverters. Harmonic content of the output voltage is recorded across a range of modulation indices for each of the three popular topologies in literature. Output from the inverter is filtered using an L only and an LC filter whose design techniques are presented. A generalized prediction algorithm using machine learning techniques to give the value of the expected THD as the modulation index is varied for a specific topology and PWM switching method is proposed in this study. Simulation and experimental results are produced in five level form to verify and validate the proposed algorithm. 2022-08-30T07:32:01Z 2022-08-30T07:32:01Z 2018 2022-07-14T10:35:18Z Master Thesis Masters MSc http://hdl.handle.net/11427/36740 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment |
| spellingShingle | Harmonics machine learning multilevel inverter PWM Chiwaridzo, Pride Multilevel inverters for renewable energy systems |
| thesis_degree_str | Master's |
| title | Multilevel inverters for renewable energy systems |
| title_full | Multilevel inverters for renewable energy systems |
| title_fullStr | Multilevel inverters for renewable energy systems |
| title_full_unstemmed | Multilevel inverters for renewable energy systems |
| title_short | Multilevel inverters for renewable energy systems |
| title_sort | multilevel inverters for renewable energy systems |
| topic | Harmonics machine learning multilevel inverter PWM |
| url | http://hdl.handle.net/11427/36740 |
| work_keys_str_mv | AT chiwaridzopride multilevelinvertersforrenewableenergysystems |