A Novel Adaptive P&O MPPT Algorithm Considering Sudden Changes in the Irradiance

By Sathish Kumar Kollimalla, Mahesh Kumar Mishra. IEEE transactions on energy conversion, 2014

293 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/64e8ffa9c06f3bb6f4ff37158fd08ff84a651bf0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Yousef A. Mahmoud
2. Jinhu Lu
3. Mohamed A. Abdelwahed
4. Ehab F. El-Saadany
5. Xinghuo Yu
6. Her-Terng Yau

In Electrical and Electronic Engineering

1. Yousef A. Mahmoud
2. Mohamed A. Abdelwahed
3. Ehab F. El-Saadany
4. Xinghuo Yu

In Renewable Energy, Sustainability and the Environment

1. Yousef A. Mahmoud
2. Mohamed A. Abdelwahed
3. Ehab F. El-Saadany

Citations in the corpus

• A High-Performance Adaptive Incremental Conductance MPPT Algorithm for Photovoltaic Systems (2016, methodology): “Furthermore, the operating point of FOV [4] and FSC [5] is not the real MPP, technically.”
• An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System Under Partial Shading (2019, background): “Several strategies in finding this region are documented in [24], [28], and [29], where however the detailed information of each PV panel, such”
• An Enhanced MPPT Method Combining Model-Based and Heuristic Techniques (2016, background): “The voltage step can have an adaptive size to increases the speed of the accurate tracking [35].”