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.
Papers
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Journal ArticleDOI
Improved Perturb and Observation Maximum Power Point Tracking Technique for Solar Photovoltaic Power Generation Systems
Premkumar Manoharan,Umashankar Subramaniam,Thanikanti Sudhakar Babu,Sanjeevikumar Padmanaban,Jens Bo Holm-Nielsen,Massimo Mitolo,Sowmya Ravichandran +6 more
TL;DR: The result proves that the proposed P&O MPPT technique can track the MPP accurately under various operating conditions and is enhanced by including the change in current, in addition to the changes in output voltage and output power of the PV module.
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An original transformer and switched-capacitor (T & SC)-based extension for DC-DC boost converter for high-voltage/low-current renewable energy applications: Hardware implementation of a new T & SC boost converter
Sanjeevikumar Padmanaban,Mahajan Sagar Bhaskar,Pandav Kiran Maroti,Frede Blaabjerg,Viliam Fedak +4 more
TL;DR: In this article, a new transformer and switched capacitor-based Boost Converter (T & SC-BC) is proposed for highvoltage/low-current renewable energy applications.
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LSTM Recurrent Neural Network Classifier for High Impedance Fault Detection in Solar PV Integrated Power System
Veerapandiyan Veerasamy,Noor Izzri Abdul Wahab,Mohammad Lutfi Othman,Sanjeevikumar Padmanaban,Kavaskar Sekar,Rajeswari Ramachandran,Hashim Hizam,Arangarajan Vinayagam,Mohammad Zohrul Islam +8 more
TL;DR: In this paper, a recurrent neural network-based Long Short-Term Memory (LSTM) approach was proposed to detect high impedance fault (HIF) in solar photovoltaic (PV) integrated power system.
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Design and Hardware Implementation Considerations of Modified Multilevel Cascaded H-Bridge Inverter for Photovoltaic System
Shuvangkar Shuvo,Eklas Hossain,Tanveerul Islam,Abir A. Akib,Sanjeevikumar Padmanaban,Md. Ziaur Rahman Khan +5 more
TL;DR: An optimal number of levels and the optimal switching frequency for such inverters are investigated, and a five-level architecture is chosen considering the trade-offs, and the effectiveness of the proposed design is substantiated.
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Maximum Power Point Tracking for Brushless DC Motor-Driven Photovoltaic Pumping Systems Using a Hybrid ANFIS-FLOWER Pollination Optimization Algorithm
TL;DR: A hybrid Artificial Neural Network (ANN)-Fuzzy Logic Control (FLC) tuned Flower Pollination Algorithm as a Maximum Power Point Tracker (MPPT) is employed to amend root mean square error of photovoltaic modeling.