Dr. Vanitha V. joined the Department of Electrical and Electronics Engineering at Amrita School of Engineering, Coimbatore in 2006. She received her Bachelor’s degree in Electrical and Electronics Engineering from Madurai Kamaraj University, Madurai in June 1992. She got her Masters degree in Power Systems from Bharathidasan University in December 1993.

 Dr. Vanitha did her Ph. D. in Government College of Technology, Coimbatore and got her degree from Anna University, Chennai. Her Ph. D. dissertation was on Power Quality Improvement of Grid Connected Wind Electric Generator using Static Synchronous Compensator with Supercapacitor.

She has totally 13 years of teaching experience. She is guiding B. Tech. and M. Tech. projects in the field of wind energy. She has about six publications to her credit. She has participated in a number of workshops and has given invited lectures. Her research interests are in the areas of Power System, Electrical Machines, Renewable Energy Sources and Power Quality.


Publication Type: Conference Paper

Year of Publication Publication Type Title


Conference Paper

P. Sahin, Resmi, R., and Dr. Vanitha V., “PMSG based standalone wind electric conversion system with MPPT”, in Proceedings of IEEE International Conference on Emerging Technological Trends in Computing, Communications and Electrical Engineering, ICETT 2016, 2017.[Abstract]

Today wind energy has emerged as an alternative energy source for power generation. This paper investigates about standalone Permanent Magnet Synchronous Generator (PMSG) based wind energy conversion system (WECS) with Maximum Power Point Tracking (MPPT). The proposed system comprises of Wind turbine (WT), PMSG, boost converter, uncontrolled diode rectifier, battery bank, bidirectional buck boost converter and dc load. Multi pole PMSG is best suited for low speed, wide range variable speed wind energy applications. Wind flow varies with time; as a result power produced also varies. As maximum power has to be tracked for varying wind speeds, perturbation & Observation (P&O) algorithm is implemented for MPPT. Battery storage system is essential to supply the load during low wind speed condition. In this paper, a simulation study of the proposed standalone system is done using SIMULINK in MATLAB. © 2016 IEEE. More »»


Conference Paper

C. V. G. Bharadwaj, Vadana, D. P., and Dr. Vanitha V., “Computation of resonant frequency of electrically thin and thick rectangular patch antenna using emotional back propagation network”, in ICWET 2010 - International Conference and Workshop on Emerging Trends in Technology 2010, Conference Proceedings, Mumbai, Maharashtra, 2010, pp. 834-837.[Abstract]

In this paper an analysis of resonant frequency of electrically thin and thick rectangular patch antenna analysis is done using emotional back propagation network by providing inputs, which are length of the patch, width of the patch, height of the patch and relative permittivity. The analysis can be used in reducing a significant bottleneck like low computational speed in the electromagnetic method of microstrip analysis, with good accuracy. The authors are of the opinion that this method of using emotional BPN would save more time than the methods proposed till now which provide the accuracy of this level. Copyright 2010 ACM. More »»

Publication Type: Conference Proceedings

Year of Publication Publication Type Title


Conference Proceedings

S. Nithin, Dr. Radhika N., and Dr. Vanitha V., “Smart grid test bed based on GSM”, Procedia Engineering, vol. 30. Elsevier Science direct, Coimbatore, pp. 258-265, 2012.[Abstract]

<p>Modern world demands for more and more electric power, but there is a limit for which nature can provide us. In order to meet the growing demand for energy, we need to find new resources and allocate them efficiently. This is where the concept of smart grid comes into picture. Smart grid consists of a power grid with both renewable and non renewable sources of energy like thermal, hydro, wind turbines and nuclear reactors. It is the duty of the smart grid to reduce losses, and thereby meet the demand in a more efficient way. Smart grid will be an automated grid, which can route the power from different generating stations based on the demand schedule. The evolution into the smart grid is not an easy task. It needs innovation in various aspects like real time demand scheduling, fault detection and self healing. Smart grid will have a sophisticated information network, which is separate from the power lines. This paper presents a smart grid test bed based on GSM technology which is capable of load management, fault detection and self healing. The test bed system consists of automated power switches, smart meters, energy sources and load. The communication for the system is achieved through GSM modules. This test bed will allow the implementation of various protocols and methodologies, which could be used for researching the problems in smart grid.</p>

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Faculty Research Interest: 
NIRF 2017