Maximum power point tracking enhancement for PV in microgrids systems using dual artificial neural networks to estimate solar irradiance and temperature

Maximum power point tracking enhancement for PV in microgrids systems using dual artificial neural networks to estimate solar irradiance and temperature

This paper presents an artificial neural network-based maximum power point tracking (MPPT) method. Where dual ANNs predict solar irradiance and temperature. Next, an adaptive computation block determines the maximum power point (MPP). The proposed MPPT method stabilizes output power at the MPP, unli...

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Bibliographic Details
Main Authors: Ahmad M.A. Malkawi, Zuhour A.B. Alsaqqa, Tareq O. Al-Mosa, Wa'el M. JadAllah, Mohannad M.H. Sadeddin, Ayman Al-Quraan, Mohammad AlMashagbeh
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Results in Engineering
Subjects:
Maximum power point tracking
Photovoltaic
Artificial neural network
Microgrid
Renewable energy sources
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025003603
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