V. Vigneshkumar
National Institute of Technology, Tiruchirappalli
5 Papers
3 Citations
V. Vigneshkumar is an academic researcher from National Institute of Technology, Tiruchirappalli. The author has contributed to research in topics: Maximum power point tracking & Buck converter. The author has an hindex of 3, co-authored 5 publications.
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Papers
Development of an Improved P&O Algorithm Assisted Through a Colony of Foraging Ants for MPPT in PV System
Kinattingal Sundareswaran,V. Vigneshkumar,P. Sankar,Sishaj P. Simon,P. Srinivasa Rao Nayak,Sankaran Palani +5 more
TL;DR: This paper proposes ant-colony-based search in the initial stages of tracking followed by P&O method, and a theoretical analysis of the static and dynamic convergence behavior of the proposed algorithm is presented.
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Gravitational search algorithm combined with P&O method for MPPT in PV systems
Kinattingal Sundareswaran,V. Vigneshkumar,Sishaj P. Simon,P. Srinivasa Rao Nayak +3 more
- 01 Dec 2016
TL;DR: In this article, a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) power generation systems under non-uniform illumination is proposed, which is composed of GSA and traditional perturb and observe (P&O) method.
10
Output Voltage Control and Power Management of a Dual Input Buck – Boost Converter Employing P&O Algorithm
Kinattingal Sundareswaran,Kiran Kuruvinashetti,Ippili Gangadhar,P. Sankar,Panugothu Srinivasa Rao Nayak,V. Vigneshkumar +5 more
TL;DR: In this article, the dual objective of output voltage control and power management in a doubly fed DC-DC converter is addressed, where the first input is taken from a photovoltaic system and second input comes from a stiff source such as battery.
Optimization of Dual Input Buck Converter Control through Genetic Algorithm
Kinattingal Sundareswaran,Kiran Kuruvinashetti,B Hariprasad,P. Sankar,Panugothu Srinivasa Rao Nayak,V. Vigneshkumar +5 more
TL;DR: In this article, an evolutionary process for the output voltage regulation of dual input buck type dc-dc converter is proposed, where the voltage regulation against a step change in reference signal is formulated as an optimization model and the optimum controller structure is identified using GA.
Development of a hybrid genetic algorithm/perturb and observe algorithm for maximum power point tracking in photovoltaic systems under non-uniform insolation
TL;DR: In this paper, a hybrid optimisation algorithm incorporating genetic algorithm (GA) in the initial stages of tracking followed by traditional perturb and observe (P&O) algorithm is proposed.