Variable Perturbation Size Adaptive P&O MPPT Algorithm for Sudden Changes in Irradiance

By Sathish Kumar Kollimalla, Mahesh Kumar Mishra. IEEE Transactions on Sustainable Energy, 2014

323 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/33ddf233ee711f3dc6bec27bb298db35f3c16274

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. Saad Mekhilef
2. Zainal Salam
3. Jubaer Ahmed
4. Tey Kok Soon

In Electrical and Electronic Engineering

1. Jubaer Ahmed
2. Zainal Salam
3. Saad Mekhilef
4. Tey Kok Soon
5. Yousef A. Mahmoud
6. Ehab F. El-Saadany
7. N. Rajasekar
8. J. Prasanth Ram

In Renewable Energy, Sustainability and the Environment

1. Jubaer Ahmed
2. Zainal Salam
3. Saad Mekhilef
4. Yousef A. Mahmoud
5. Ehab F. El-Saadany
6. N. Rajasekar
7. J. Prasanth Ram
8. Kashif Ishaque

Citations in the corpus

• Simulation and Hardware Implementation of New Maximum Power Point Tracking Technique for Partially Shaded PV System Using Hybrid DEPSO Method (2015, background): “The latter effect diminishes the efficiency of conventional maximum power point tracking (MPPT) methods [3], [4].”
• An Enhanced Adaptive P&O MPPT for Fast and Efficient Tracking Under Varying Environmental Conditions (2018, background): “In [11]–[13], [17], [18], several adaptive versions of the P&O are proposed to reduce the steady state oscillation.”