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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.

Papers
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Performance of DVR Using Optimized PI Controller Based Gradient Adaptive Variable Step LMS Control Algorithm

TL;DR: In this article, a custom power device known as dynamic voltage restorer (DVR) has been investigated to operate a distribution system at its desired performance, which has been controlled using optimized proportional and integral (PI) gains integrated with gradient adaptive variable learning rate least mean square control algorithm.
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Design and Analysis of Heavily Doped n+ Pocket Asymmetrical Junction-Less Double Gate MOSFET for Biomedical Applications

TL;DR: In this article, a steep subthreshold heavily doped n+ pocket asymmetrical junctionless MOSFET is designed for biomedical applications by introducing a nanogap cavity region at the gate-oxide interface.
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Development of Sliding Mode Controller for a Modified Boost Cuk Converter Configuration

TL;DR: In this paper, a sliding mode control (SMC)-based equivalent control method is proposed to improve the efficiency and output gain of a high output gain Cuk converter with an additional inductor and capacitor.
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A novel 2L-Y DC-DC converter topologies for high conversion ratio renewable application

TL;DR: Due to higher conversion ratio capability of the proposed 2L-Y converter, it provides a workable solution for photovoltaic and electrical drive applications and is derived, discussed and analyzed in this paper.
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Simultaneous Long-Term Planning of Flexible Electric Vehicle Photovoltaic Charging Stations in Terms of Load Response and Technical and Economic Indicators

TL;DR: The modeling results in terms of uncertainties in the system indicate that the use of load management along with PVCS design and flexible electric vehicle charge control strategies improves power quality parameters and optimizes system cost over a period of 10 years.