Open Access
| Issue |
E3S Web Conf.
Volume 331, 2021
International Conference on Disaster Mitigation and Management (ICDMM 2021)
|
|
|---|---|---|
| Article Number | 02014 | |
| Number of page(s) | 6 | |
| Section | Enhancing Framework for Disaster Preparedness | |
| DOI | https://doi.org/10.1051/e3sconf/202133102014 | |
| Published online | 13 December 2021 | |
- M. I. Hamid, M Anwari, Single-Phase Photovoltaic-Inverter Operation Characteristic in Distributed Generation System, Distributed Generation, D N Gaonkar, IntechOpen,(2010) [Google Scholar]
- A. R. Jordehi., Maximum power point tracking in photovoltaic (PV) systems: A review of different approaches. Renewable and Sustainable Energy Reviews; 65:1127-1138 (2016) [CrossRef] [Google Scholar]
- S. K. Kollimalla, M. K. Mishra, A novel adaptive P&O MPPT algorithm considering sudden changes in the irradiance. IEEE Transactions on Energy conversion; 29 (3), 602-610 (2014) [CrossRef] [Google Scholar]
- S. Saravanan, N. R. Babu, RBFN based MPPT algorithm for PV system with high step up converter. Energy Conversion and Management; 122:239-251 (2016) [CrossRef] [Google Scholar]
- N. Karami, N. Moubayed, R. Outbib General review and classification of different MPPT Techniques. Renewable and Sustainable Energy Reviews; 68:1-18 (2017) [CrossRef] [Google Scholar]
- J. P. Ram, T. S. Babu, N. A Rajasekar comprehensive review on solar PV maximum power point tracking techniques. Renewable and Sustainable Energy Reviews; 67:826-847 (2017) [CrossRef] [Google Scholar]
- Z. Salam, J. Ahmed J, B. S. Merugu, The application of soft computing methods for MPPT of PV system: A technological and status review. Applied Energy; 107:135-148 (2013) [CrossRef] [Google Scholar]
- A. Khare, S. Rangnekar, A review of particle swarm optimization and its applications in the solar photovoltaic system. Applied Soft Computing; 13 (5):2997-3006 (2013) [CrossRef] [Google Scholar]
- N. Karami, N. Moubayed, R. Outbib, General review and classification of different MPPT Techniques. Renewable and Sustainable Energy Reviews; 68:1-18 (2017) [CrossRef] [Google Scholar]
- Y. Soufi, M. Bechouat, S. Kahla. Fuzzy-PSO controller design for maximum power point tracking in the photovoltaic system. International Journal of Hydrogen Energy; 42(13):8680-8688 (2017) [CrossRef] [Google Scholar]
- R. Arulmurugan, N. Suthanthiravanitha. Model and design of a fuzzy-based Hopfield NN tracking controller for standalone PV applications. Electric Power Systems Research; 120:184-193 (2015) [CrossRef] [Google Scholar]
- L. Suganthi, S. Iniyan, A. A. Samuel, Applications of fuzzy logic in renewable energy systems–a review. Renewable and Sustainable Energy Reviews; 48: 585-607 (2015) [CrossRef] [Google Scholar]
- E. Koutroulis, K. Kalaitzakis, “Development of a Microcontroller-Based Photovoltaic Maximum Power Point Tracking Control System, IEEE Trans. On Power Electronics., 16 (1) (2001) [Google Scholar]
- G. Vachtsevanos and K. Kalaitzakis, “A hybrid photovoltaic simulator for utility-interactive studies,” IEEE Trans. Energy Conv., EC-2, 227–231, (1987) [CrossRef] [Google Scholar]
- M. G. Jaboori, M. M. Saied, and A. A. Hanafy, “A contribution to the simulation and design optimization of photovoltaic systems,” IEEE Trans. Energy Conv., 6, 401–406 (1991) [Google Scholar]
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