New and improved hybrid MPPT algorithm for partial shading conditions
Renewable energy, particularly solar, can be used to mitigate greenhouse gas emissions by reducing the need for fossil fuels for energy generation. However, power output from a photovoltaic (PV) system is not fixed. For a given system design and irradiance, power output varies with voltage and requi...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/176746 |
| _version_ | 1826120458393616384 |
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| author | Chia, Nick Erwin Zhiyang |
| author2 | Tang Yi |
| author_facet | Tang Yi Chia, Nick Erwin Zhiyang |
| author_sort | Chia, Nick Erwin Zhiyang |
| collection | NTU |
| description | Renewable energy, particularly solar, can be used to mitigate greenhouse gas emissions by reducing the need for fossil fuels for energy generation. However, power output from a photovoltaic (PV) system is not fixed. For a given system design and irradiance, power output varies with voltage and requires a Maximum Power Point Tracking (MPPT) algorithm to operate the PV system at its global maximum power point (GMPP). By investigating the working principles of the PV cell and various MPPT algorithms, it is shown that conventional MPPT algorithms (those used most widely in industry) often falter when faced with the dynamic environmental factors that PV systems can encounter in practice, such as partial shading conditions (PSC) and rapidly changing irradiance levels. A new and improved Hybrid MPPT algorithm is thus introduced to maximize performance of a PV system under these conditions. The Hybrid Algorithm merges segmentation search methods with an enhanced Perturb and Observe (P&O) algorithm, aiming to accurately approximate and subsequently pinpoint the GMPP. By comparing the Hybrid Algorithm to the Conventional P&O algorithm, this paper demonstrates the Hybrid Algorithm’s superior accuracy and speed in tracking the GMPP, even in PSC or rapidly changing irradiance levels. |
| first_indexed | 2024-10-01T05:16:47Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/176746 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T05:16:47Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1767462024-05-24T15:51:34Z New and improved hybrid MPPT algorithm for partial shading conditions Chia, Nick Erwin Zhiyang Tang Yi School of Electrical and Electronic Engineering yitang@ntu.edu.sg Engineering PV MPPT Solar Renewable energy, particularly solar, can be used to mitigate greenhouse gas emissions by reducing the need for fossil fuels for energy generation. However, power output from a photovoltaic (PV) system is not fixed. For a given system design and irradiance, power output varies with voltage and requires a Maximum Power Point Tracking (MPPT) algorithm to operate the PV system at its global maximum power point (GMPP). By investigating the working principles of the PV cell and various MPPT algorithms, it is shown that conventional MPPT algorithms (those used most widely in industry) often falter when faced with the dynamic environmental factors that PV systems can encounter in practice, such as partial shading conditions (PSC) and rapidly changing irradiance levels. A new and improved Hybrid MPPT algorithm is thus introduced to maximize performance of a PV system under these conditions. The Hybrid Algorithm merges segmentation search methods with an enhanced Perturb and Observe (P&O) algorithm, aiming to accurately approximate and subsequently pinpoint the GMPP. By comparing the Hybrid Algorithm to the Conventional P&O algorithm, this paper demonstrates the Hybrid Algorithm’s superior accuracy and speed in tracking the GMPP, even in PSC or rapidly changing irradiance levels. Bachelor's degree 2024-05-20T04:27:50Z 2024-05-20T04:27:50Z 2024 Final Year Project (FYP) Chia, N. E. Z. (2024). New and improved hybrid MPPT algorithm for partial shading conditions. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176746 https://hdl.handle.net/10356/176746 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering PV MPPT Solar Chia, Nick Erwin Zhiyang New and improved hybrid MPPT algorithm for partial shading conditions |
| title | New and improved hybrid MPPT algorithm for partial shading conditions |
| title_full | New and improved hybrid MPPT algorithm for partial shading conditions |
| title_fullStr | New and improved hybrid MPPT algorithm for partial shading conditions |
| title_full_unstemmed | New and improved hybrid MPPT algorithm for partial shading conditions |
| title_short | New and improved hybrid MPPT algorithm for partial shading conditions |
| title_sort | new and improved hybrid mppt algorithm for partial shading conditions |
| topic | Engineering PV MPPT Solar |
| url | https://hdl.handle.net/10356/176746 |
| work_keys_str_mv | AT chianickerwinzhiyang newandimprovedhybridmpptalgorithmforpartialshadingconditions |