A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations
Microcontroller based maximum power point tracking (MPPT) has been the most popular MPPT approach in photovoltaic systems due to its high flexibility and efficiency in different photovoltaic systems. It is well known that PV systems typically operate under a range of uncertain environmental paramete...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2014/938526 |
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| author | Heng Li Jun Peng Weirong Liu Zhiwu Huang Kuo-Chi Lin |
| author_facet | Heng Li Jun Peng Weirong Liu Zhiwu Huang Kuo-Chi Lin |
| author_sort | Heng Li |
| collection | DOAJ |
| description | Microcontroller based maximum power point tracking (MPPT) has been the most popular MPPT approach in photovoltaic systems due to its high flexibility and efficiency in different photovoltaic systems. It is well known that PV systems typically operate under a range of uncertain environmental parameters and disturbances, which implies that MPPT controllers generally suffer from some unknown stochastic perturbations. To address this issue, a novel Newton-based stochastic extremum seeking MPPT method is proposed. Treating stochastic perturbations as excitation signals, the proposed MPPT controller has a good tolerance of stochastic perturbations in nature. Different from conventional gradient-based extremum seeking MPPT algorithm, the convergence rate of the proposed controller can be totally user-assignable rather than determined by unknown power map. The stability and convergence of the proposed controller are rigorously proved. We further discuss the effects of partial shading and PV module ageing on the proposed controller. Numerical simulations and experiments are conducted to show the effectiveness of the proposed MPPT algorithm. |
| format | Article |
| id | doaj-art-36d2b9be755f469e890c0813a9a7d32f |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-36d2b9be755f469e890c0813a9a7d32f2025-02-03T01:08:53ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2014-01-01201410.1155/2014/938526938526A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic PerturbationsHeng Li0Jun Peng1Weirong Liu2Zhiwu Huang3Kuo-Chi Lin4School of Information Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410075, ChinaSchool of Information Science and Engineering, Central South University, Changsha 410075, ChinaDepartment of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816, USAMicrocontroller based maximum power point tracking (MPPT) has been the most popular MPPT approach in photovoltaic systems due to its high flexibility and efficiency in different photovoltaic systems. It is well known that PV systems typically operate under a range of uncertain environmental parameters and disturbances, which implies that MPPT controllers generally suffer from some unknown stochastic perturbations. To address this issue, a novel Newton-based stochastic extremum seeking MPPT method is proposed. Treating stochastic perturbations as excitation signals, the proposed MPPT controller has a good tolerance of stochastic perturbations in nature. Different from conventional gradient-based extremum seeking MPPT algorithm, the convergence rate of the proposed controller can be totally user-assignable rather than determined by unknown power map. The stability and convergence of the proposed controller are rigorously proved. We further discuss the effects of partial shading and PV module ageing on the proposed controller. Numerical simulations and experiments are conducted to show the effectiveness of the proposed MPPT algorithm.http://dx.doi.org/10.1155/2014/938526 |
| spellingShingle | Heng Li Jun Peng Weirong Liu Zhiwu Huang Kuo-Chi Lin A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations International Journal of Photoenergy |
| title | A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations |
| title_full | A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations |
| title_fullStr | A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations |
| title_full_unstemmed | A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations |
| title_short | A Newton-Based Extremum Seeking MPPT Method for Photovoltaic Systems with Stochastic Perturbations |
| title_sort | newton based extremum seeking mppt method for photovoltaic systems with stochastic perturbations |
| url | http://dx.doi.org/10.1155/2014/938526 |
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