Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors
© 2018 IEEE. Cloud movements lead to the variability of the produced power by a photovoltaic (PV) system. However, the overall variability of the power produced by several adjacent PVs, distributed in any locality, reduces with respect to that area's size. This is referred to as the variability...
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/72101 |
| _version_ | 1848762660030513152 |
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| author | Al-Hilfi, H. Shahnia, F. Abu-Siada, Ahmed |
| author_facet | Al-Hilfi, H. Shahnia, F. Abu-Siada, Ahmed |
| author_sort | Al-Hilfi, H. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 IEEE. Cloud movements lead to the variability of the produced power by a photovoltaic (PV) system. However, the overall variability of the power produced by several adjacent PVs, distributed in any locality, reduces with respect to that area's size. This is referred to as the variability reduction index (VRI) and can be used to estimate the overall produced power by several adjacent PVs as it considers correlation models that represent the timescale and the distances between the PVs, the speed, direction and density of the clouds as well as the PV size. This paper compares different VRI models and proposes an enhanced technique which has a better estimation accuracy. The performance of the developed technique is validated by comparing the estimated power with the actual power for 16 adjacent small-scale rooftop PVs distributed over a kilometer square area in Brisbane, Australia. |
| first_indexed | 2025-11-14T10:51:05Z |
| format | Conference Paper |
| id | curtin-20.500.11937-72101 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:51:05Z |
| publishDate | 2018 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-721012018-12-13T09:31:55Z Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors Al-Hilfi, H. Shahnia, F. Abu-Siada, Ahmed © 2018 IEEE. Cloud movements lead to the variability of the produced power by a photovoltaic (PV) system. However, the overall variability of the power produced by several adjacent PVs, distributed in any locality, reduces with respect to that area's size. This is referred to as the variability reduction index (VRI) and can be used to estimate the overall produced power by several adjacent PVs as it considers correlation models that represent the timescale and the distances between the PVs, the speed, direction and density of the clouds as well as the PV size. This paper compares different VRI models and proposes an enhanced technique which has a better estimation accuracy. The performance of the developed technique is validated by comparing the estimated power with the actual power for 16 adjacent small-scale rooftop PVs distributed over a kilometer square area in Brisbane, Australia. 2018 Conference Paper http://hdl.handle.net/20.500.11937/72101 10.1109/ISIE.2018.8433850 restricted |
| spellingShingle | Al-Hilfi, H. Shahnia, F. Abu-Siada, Ahmed Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors |
| title | Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors |
| title_full | Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors |
| title_fullStr | Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors |
| title_full_unstemmed | Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors |
| title_short | Enhancing the Estimation of the Overall Produced Power by Several Adjacent Photovoltaic Systems Using Existing Correlational Factors |
| title_sort | enhancing the estimation of the overall produced power by several adjacent photovoltaic systems using existing correlational factors |
| url | http://hdl.handle.net/20.500.11937/72101 |