S
Sanjeevikumar Padmanaban
Researcher at Aarhus University
Publications - 431
Citations - 9689
Sanjeevikumar Padmanaban is an academic researcher from Aarhus University. The author has contributed to research in topics: Photovoltaic system & Computer science. The author has an hindex of 34, co-authored 367 publications receiving 5244 citations. Previous affiliations of Sanjeevikumar Padmanaban include Sathyabama University & National Institute of Technology, Puducherry.
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Harmonic mitigation and power quality improvement in utility grid with solar energy penetration using distribution static compensator
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Analysis and implementation of power management and control strategy for six-phase multilevel ac drive system in fault condition
Sanjeevikumar Padmanaban,Gabriele Grandi,Frede Blaabjerg,Patrick Wheeler,Joseph Olorunfemi Ojo,Joseph Olorunfemi Ojo +5 more
TL;DR: In this article, a simplified level-shifted pulsewidth modulation (PWM) algorithm is developed to modulate each couple of three-phase VSI as 3-level output voltage generators in normal operation.
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Optimal instantaneous prediction of voltage instability due to transient faults in power networks taking into account the dynamic effect of generators
Mohsen Khalili,Mohammad Ali Dashtaki,Morteza Azimi Nasab,Hamid Reza Hanif,Sanjeevikumar Padmanaban,Baseem Khan +5 more
TL;DR: In this article , an index based on the changes of two indices of frequency deviation and frequency response of inertia is presented, which has the ability to detect the occurrence of instability and at the same time high speed timely estimation of voltage instability in the power system.
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Novel Wavelet-Fuzzy Based Indirect Field Oriented Control of Induction Motor Drives
TL;DR: In this paper, a wavelet-fuzzy based controller for indirect field oriented control of three-phase induction motor drives is presented, which decomposes the error between the actual speed and the command speed of the induction motor drive into different frequency components.
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Metaheuristic-based Near-Optimal Fractional Order PI Controller for On-grid Fuel Cell Dynamic Performance Enhancement
TL;DR: In this paper , three metaheuristic optimizers are used for the optimal gain scheduling of the FOPI controller parameters while minimizing the absolute value of the error as the cost function.