The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies
Open accessAbstract
The output power–voltage (P–V) curve of a solar photovoltaic (PV) power system shows a single peak under an even irradiation environment, nevertheless, but often exhibits seriously nonlinear multi-peak characteristics under partial shading conditions (PSCs). Then, traditional maximum power point tracking (MPPT) control methods may fail to find the maximum power point (MPP). Many different MPPT control methods have been proposed to adjust the peak power output and improve the generating efficiency of the PV system. In this paper, the main MPPT techniques for PV systems are reviewed and summarized, and divided into three groups according to their control theoretic and optimization principles. Especially, the advantages and disadvantages of the MPPT techniques for PV system under PSCs are compared and analyzed. Finally, possible future research directions for MPPT are discussed.
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Cites
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Particle swarm optimization: An overview
Poli, R., Kennedy, J., & Blackwell, T. (2007) · Swarm Intelligence · doi:10.1007/s11721-007-0002-0 · Cited by 21,101
Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2013.12.007 · Cited by 19,343
Goldberg, D. E., & Shakespeare, W. (2002) · Cited by 16,088
Ant colony system: a cooperative learning approach to the traveling salesman problem
Dorigo, M., & Gambardella, L. M. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585892 · Cited by 8,081
Holland, J. H. (1992) · Scientific American · doi:10.1038/scientificamerican0792-66 · Cited by 5,764
AN IDEA BASED ON HONEY BEE SWARM FOR NUMERICAL OPTIMIZATION
Karaboğa, D. (2005) · Cited by 5,466
Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems
Mirjalili, S., Gandomi, A. H., Mirjalili, S. Z., Saremi, S., Faris, H., & Mirjalili, S. M. (2017) · Advances in Engineering Software · doi:10.1016/j.advengsoft.2017.07.002 · Cited by 5,082
Ant colony optimization for continuous domains
Socha, K., & Dorigo, M. (2008) · European Journal of Operational Research · doi:10.1016/j.ejor.2006.06.046 · Cited by 1,414
Ishaque, K., Salam, Z., Amjad, M., & Mekhilef, S. (2012) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2012.2185713 · Cited by 1,074
Metadata
- Authors
- Mao, M., Cui, L., Zhang, Q., Guo, K., Zhou, L., & Huang, H.
- Venue
- Energy Reports
- Publisher
- Elsevier BV
- Published
- 2020-11
- Volume
- 6
- Pages
- 1312-1327
- ISSN
- 2352-4847 (ISSN-L)
- OpenAlex
- W3026718828
- Cited by
- 325
- References
- 42
- FWCI
- 8.34
- Type
- journal article
- Language
- en
- Open access
- gold
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- Mao, M., Cui, L., Zhang, Q., Guo, K., Zhou, L., & Huang, H. (2020). Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies. Energy Reports. https://doi.org/10.1016/j.egyr.2020.05.013
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