A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor
In this paper, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine an appropriate scaling factor accordingly to...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/15/5214 |
| _version_ | 1797561009004609536 |
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| author | Man-Tsai Chuang Yi-Hua Liu Song-Pei Ye |
| author_facet | Man-Tsai Chuang Yi-Hua Liu Song-Pei Ye |
| author_sort | Man-Tsai Chuang |
| collection | DOAJ |
| description | In this paper, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine an appropriate scaling factor accordingly to enhance the capability of maximum power point tracking (MPPT). The fast and accurate tracking can be achieved by the presented method without the need for extra irradiance and temperature sensors. Only the voltage-and-current sets of any two operating points on the characteristic curve are needed to estimate the irradiance level. By choosing a proper scaling factor, the performance of the conventional VSS INC method can be improved. To validate the studied algorithm, a 600 W prototyping circuit is constructed and the performances are demonstrated experimentally. Compared to conventional VSS INC methods under the tested conditions, the tracking time is shortened by 31.8%. The tracking accuracy is also improved by 2.1% and 3.5%, respectively. Besides, tracking energy loss is reduced by 43.9% and 29.9%, respectively. |
| first_indexed | 2024-03-10T18:08:19Z |
| format | Article |
| id | doaj.art-9bafd7741d1947609ac85050087433b6 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T18:08:19Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-9bafd7741d1947609ac85050087433b62023-11-20T08:18:30ZengMDPI AGApplied Sciences2076-34172020-07-011015521410.3390/app10155214A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling FactorMan-Tsai Chuang0Yi-Hua Liu1Song-Pei Ye2Department of Electrical Engineering, National Taiwan University of Science and Technology, Da’an District, Taipei 10607, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Da’an District, Taipei 10607, TaiwanDepartment of Electrical Engineering, National Taiwan University of Science and Technology, Da’an District, Taipei 10607, TaiwanIn this paper, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine an appropriate scaling factor accordingly to enhance the capability of maximum power point tracking (MPPT). The fast and accurate tracking can be achieved by the presented method without the need for extra irradiance and temperature sensors. Only the voltage-and-current sets of any two operating points on the characteristic curve are needed to estimate the irradiance level. By choosing a proper scaling factor, the performance of the conventional VSS INC method can be improved. To validate the studied algorithm, a 600 W prototyping circuit is constructed and the performances are demonstrated experimentally. Compared to conventional VSS INC methods under the tested conditions, the tracking time is shortened by 31.8%. The tracking accuracy is also improved by 2.1% and 3.5%, respectively. Besides, tracking energy loss is reduced by 43.9% and 29.9%, respectively.https://www.mdpi.com/2076-3417/10/15/5214variable step size MPPT algorithmmaximum power point (MPP) tracking (MPPT)modified incremental conductance method |
| spellingShingle | Man-Tsai Chuang Yi-Hua Liu Song-Pei Ye A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor Applied Sciences variable step size MPPT algorithm maximum power point (MPP) tracking (MPPT) modified incremental conductance method |
| title | A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor |
| title_full | A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor |
| title_fullStr | A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor |
| title_full_unstemmed | A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor |
| title_short | A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor |
| title_sort | novel variable step size incremental conductance method with an adaptive scaling factor |
| topic | variable step size MPPT algorithm maximum power point (MPP) tracking (MPPT) modified incremental conductance method |
| url | https://www.mdpi.com/2076-3417/10/15/5214 |
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