An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic Models
Estimating parameters for various photovoltaic (PV) models is of great importance in simulating, evaluating, and controlling PV systems. To achieve the effective and accurate parameters of PV models, this paper presents an improved brain storming optimization (IBSO). In IBSO, a new individuals'...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8735689/ |
| _version_ | 1818412614747684864 |
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| author | Zeyuan Yan Chunquan Li Zhenshou Song Liwei Xiong Chaoyang Luo |
| author_facet | Zeyuan Yan Chunquan Li Zhenshou Song Liwei Xiong Chaoyang Luo |
| author_sort | Zeyuan Yan |
| collection | DOAJ |
| description | Estimating parameters for various photovoltaic (PV) models is of great importance in simulating, evaluating, and controlling PV systems. To achieve the effective and accurate parameters of PV models, this paper presents an improved brain storming optimization (IBSO). In IBSO, a new individuals' generation scheme is developed to balance the global and local search capability in the entire iterative process. Furthermore, an improved individual clustering scheme is developed to decrease the computational cost of K-means in the original BSO. In addition, a self-adaptive individuals' update scheme is introduced to further balance the global and local exploration capability. The proposed IBSO is employed to identify the parameters of different PV models, i.e., single diode, double diode, and PV module. The experimental results show that the IBSO can generate an extremely promising performance compared with other state-of-the-art algorithms, especially in terms of accuracy and reliability. |
| first_indexed | 2024-12-14T10:50:07Z |
| format | Article |
| id | doaj.art-328da2a3c7604297822bd1b0b7792ab4 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:50:07Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-328da2a3c7604297822bd1b0b7792ab42022-12-21T23:05:15ZengIEEEIEEE Access2169-35362019-01-017776297764110.1109/ACCESS.2019.29223278735689An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic ModelsZeyuan Yan0Chunquan Li1https://orcid.org/0000-0002-5493-6379Zhenshou Song2Liwei Xiong3Chaoyang Luo4School of Information Engineering, Nanchang University, Nanchang, ChinaSchool of Information Engineering, Nanchang University, Nanchang, ChinaSchool of Information Engineering, Nanchang University, Nanchang, ChinaSchool of Information Engineering, Nanchang University, Nanchang, ChinaSchool of Information Engineering, Nanchang University, Nanchang, ChinaEstimating parameters for various photovoltaic (PV) models is of great importance in simulating, evaluating, and controlling PV systems. To achieve the effective and accurate parameters of PV models, this paper presents an improved brain storming optimization (IBSO). In IBSO, a new individuals' generation scheme is developed to balance the global and local search capability in the entire iterative process. Furthermore, an improved individual clustering scheme is developed to decrease the computational cost of K-means in the original BSO. In addition, a self-adaptive individuals' update scheme is introduced to further balance the global and local exploration capability. The proposed IBSO is employed to identify the parameters of different PV models, i.e., single diode, double diode, and PV module. The experimental results show that the IBSO can generate an extremely promising performance compared with other state-of-the-art algorithms, especially in terms of accuracy and reliability.https://ieeexplore.ieee.org/document/8735689/Photovoltaic (PV)brain storming optimization (BSO)global optimizationpopulation-based stochastic optimization |
| spellingShingle | Zeyuan Yan Chunquan Li Zhenshou Song Liwei Xiong Chaoyang Luo An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic Models IEEE Access Photovoltaic (PV) brain storming optimization (BSO) global optimization population-based stochastic optimization |
| title | An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic Models |
| title_full | An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic Models |
| title_fullStr | An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic Models |
| title_full_unstemmed | An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic Models |
| title_short | An Improved Brain Storming Optimization Algorithm for Estimating Parameters of Photovoltaic Models |
| title_sort | improved brain storming optimization algorithm for estimating parameters of photovoltaic models |
| topic | Photovoltaic (PV) brain storming optimization (BSO) global optimization population-based stochastic optimization |
| url | https://ieeexplore.ieee.org/document/8735689/ |
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