A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson
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Nowdeh, Saber Arabi, Moghaddam, Mohammad Jafar Hadidian, Babanezhad, Manoochehr, Davoodkhani, Iraj Faraji, Kalam, Akhtar ORCID: 0000-0002-5933-6380, Ahmadi, Abdollah and Abdelaziz, Almoataz Y (2019) A Novel Maximum Power Point Tracking Method for Photovoltaic Application Using Secant Incremental Gradient Based on Newton Raphson. In: Solar Photovoltaic Power Plants: Advanced Control and Optimization Techniques. Precup, Radu-Emil, Kamal, Tariq and Hassan, Syed Zulqadar, eds. Power Systems . Springer, Singapore, Singapore, pp. 71-96.
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Item type | Book Section |
URI | https://vuir.vu.edu.au/id/eprint/41440 |
DOI | 10.1007/978-981-13-6151-7_4 |
Official URL | https://link.springer.com/chapter/10.1007/978-981-... |
ISBN | 9789811361500 (print) 9789811361517 (online) |
Subjects | Historical > FOR Classification > 0906 Electrical and Electronic Engineering Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | photovoltaic system; SIGBNR; MPPT; particle swarm optimization; Grey Wolf optimizer; algorithm; Newton Raphson |
Citations in Scopus | 4 - View on Scopus |
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