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, MJH, 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 https://doi.org/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 Current > 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 0 - View on Scopus
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