Optimizing Photovoltaic System Efficiency Through a Kalman Filter Driven Approach for MPPT in Partial Shading Conditions-Reference-Cited by-同舟云学术

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Optimizing Photovoltaic System Efficiency Through a Kalman Filter Driven Approach for MPPT in Partial Shading Conditions

Published:2024-05-16 Issue: Volume:8 Page:1-7
ISSN:
Container-title:2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)
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Author:

Hajar Ahessab¹,Ahmed Gaga¹,Youness Hakam¹,Benachir EL Hadadi¹

Affiliation:

1. Sultan Moulay Slimane University (USMS),Research Laboratory of Physics and Engineers Sciences (LRPSI) Research Team in Embedded Systems Engineering, Automation, Signal Telecommunications and Intelligent Materials (ISASTM), Polydisciplinary Faculty (FPBM),Beni Mellal,Morocco

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10548014/10548010/10549347.pdf?arnumber=10549347

Reference21 articles.

1. Kalman filtering state of charge estimation for battery management system based on a stochastic fuzzy neural network battery model

2. Interleaved high gain DC-DC converter for integrating solar PV source to DC bus

3. Renewable Energy and Energy Reductions or Solar Geoengineering for Climate Change Mitigation?

4. Power Electronics, Smart Grid, and Renewable Energy Systems

5. Intelligent MPPT for photovoltaic panels using a novel fuzzy logic and artificial neural networks based on evolutionary algorithms

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