The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Photovoltaic Model Identification Using Particle Swarm Optimization With Inverse Barrier Constraint
Abstract
The photovoltaic (PV) model is used in simulation studies to validate system design such as the maximum power point tracking algorithm and microgrid system. It is often difficult to simulate a PV module characteristic under different environmental conditions due to the limited information provided by the manufacturers. In this paper, a new approach using particle swarm optimization (PSO) with inverse barrier constraint is proposed to determine the unknown PV model parameters. The proposed method has been validated with three different PV technologies and the results show that the maximum mean modeling error at maximum power point is less than 0.02% for Pmpand 0.3% for Vmp.
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Cites
Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays
Villalva, M. G., Gazoli, J. R., & Filho, E. R. (2009) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2009.2013862 · Cited by 4,390
Improvement and validation of a model for photovoltaic array performance
De Soto, W., Klein, S. A., & Beckman, W. A. (2006) · Solar Energy · doi:10.1016/j.solener.2005.06.010 · Cited by 2,206
High-Performance Adaptive Perturb and Observe MPPT Technique for Photovoltaic-Based Microgrids
Abdelsalam, A. K., Massoud, A. M., Ahmed, S., & Enjeti, P. N. (2011) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2011.2106221 · Cited by 879
Evaluating MPPT Converter Topologies Using a Matlab PV Model
Walker, G. R. (2001) · QUT ePrints (Queensland University of Technology) · Cited by 871
Alajmi, B. N., Ahmed, K. H., Finney, S. J., & Williams, B. W. (2011) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2010.2090903 · Cited by 635
Çelik, A. N., & Acikgoz, N. (2006) · Applied Energy · doi:10.1016/j.apenergy.2006.04.007 · Cited by 523
Neural-Network-Based MPPT Control of a Stand-Alone Hybrid Power Generation System
Lin, W.-M., Hong, C.-M., & Chen, C.-H. (2011) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2011.2161775 · Cited by 347
Brunton, S. L., Rowley, C. W., Kulkarni, S. R., & Clarkson, C. (2010) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2010.2049747 · Cited by 328
Model of Photovoltaic Cell Circuits under Partial Shading
Kajihara, A., & Harakawa, T. (2006) · IEEE International Conference on Industrial Technology (ICIT) · doi:10.1109/icit.2005.1600757 · Cited by 138
Nguyen, T. H. A., Guo, H., & Low, K. (2011) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2011.2135030 · Cited by 74
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Cited by
Parameter extraction of solar cell models using repaired adaptive differential evolution
Gong, W., & Cai, Z. (2013) · Solar Energy · doi:10.1016/j.solener.2013.05.007 · Cited by 362
Biswas, P. P., Suganthan, P. N., Wu, G., & Amaratunga, G. A. J. (2019) · Renewable Energy · doi:10.1016/j.renene.2018.07.152 · Cited by 190
A Photovoltaic Model Based Method to Monitor Solar Array Degradation On-Board a Microsatellite
Soon, J. J., Chia, J. W., Aung, H., Lew, J. M., Goh, S. T., & Low, K.-S. (2018) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2018.2822081 · Cited by 20
Metadata
- Authors
- Soon, J. J., & Low, K.-S.
- Venue
- IEEE Transactions on Power Electronics
- Published
- 2012-09
- Volume
- 27
- Issue
- 9
- Pages
- 3975-3983
- ISSN
- 0885-8993 (ISSN-L)
- 1941-0107
- OpenAlex
- W1970832389
- Cited by
- 276
- References
- 10
- FWCI
- 7.17
- Type
- journal article
- Language
- en
- Open access
- closed
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- Soon, J. J., & Low, K.-S. (2012). Photovoltaic Model Identification Using Particle Swarm Optimization With Inverse Barrier Constraint. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2012.2188818
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
