Qualification: 
Ph.D
t_sindhu@cb.amrita.edu

Dr. Sindhu Thampatty joined Amrita in the year 1996 as faculty in the Department of Electrical and Electronics Engineering and was undertaking teaching and projects for B. Tech. and M. Tech. students. She did her B. Tech. in Electrical & Electronics Engineering and M. Tech. in Energetics from NIT Calicut formerly known as Regional Engineering College, Calicut. Her M. Tech. thesis was on Environmentally Constrained Optimum Economic Dispatch.

Dr. Sindhu did her Ph. D. in Power Systems from National Institute of Technology, Calicut in 2011. Her dissertation was on A TCSC Based Adaptive SSR Damping Controller Using Real Time Recurrent Learning Algorithm. She has guided several B. Tech. and M. Tech. research projects.

She has served as reviewer for research papers in IET Generation, Transmission and Distribution and Electric Power Components and Systems, Taylor and Francis since 2010. She has also served as technical committee member and reviewer for many conferences.

Publications

Publication Type: Journal Article

Year of Publication Publication Type Title

2017

Journal Article

Dr. Kavitha D., Dr. Sindhu Thampatty K.C., and Nambiar, T. N. P., “Impact of permittivity and concentration of filler nanoparticles on dielectric properties of polymer nanocomposites”, IET Science, Measurement and Technology, vol. 11, pp. 179-185, 2017.[Abstract]


Electrical properties of polymeric insulators can be improved by adding high-permittivity nanofillers. In this work, the aim is to analyse the effect of filler permittivity, its size, shape, concentration and the interparticle distance on the electrical properties of the nanocomposites. Nanocomposites are fabricated with four types of fillers and with various concentrations and the effect of various filler parameters on permittivity, breakdown strength and loss tangent of the nanocomposites are analysed. Simulation of electric field is used to demonstrate the increase in the volume of enhanced electric field region which affects the short-time breakdown strength. The effect of filler parameters on the electrical properties of the composite is demonstrated through experimental and theoretical analysis. © The Institution of Engineering and Technology.

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2015

Journal Article

Aa Rajiv, Nathan, Va, Ashwanth, Aa, Rajan, Sa, and Dr. Sindhu Thampatty K.C., “Modelling and analysis of rotor bearing fault in a three phase squirrel cage induction motor using ANSYS® Maxwell 2D”, International Journal of Applied Engineering Research, vol. 10, pp. 3612-3616, 2015.[Abstract]


Industries of all kinds use electrical machines and they also form the integral part of any engineering system. Induction motors are widely used in industrial and domestic applications. There are various faults that occur in an induction motor, like stator inter-turn fault, bearing fault and eccentricity fault. Out of these faults, the rotor bearing fault is very specific in squirrel cage induction machines. This paper presents the design and modelling of a three phase squirrel cage induction motor using the CAD package called “ANSYS® Maxwell 2D” and its analysis under two states of operation: healthy mode of operation and motor operation under the presence of a bearing fault. © Research India Publications.

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2015

Journal Article

R. Mahalakshmi and Dr. Sindhu Thampatty K.C., “ Grid Connected Multilevel Inverter for Renewable Energy Applications”, Procedia Technology, vol. 21, pp. 636 - 642, 2015.[Abstract]


Electrical energy generation from renewable energy sources such as sun, wind etc., are widely adopted due to the increase in electricity consumption. The integration of renewable energy sources with the grid plays an important role in energy utilization. It is difficult to utilize electricity from renewable energy sources directly for the injection of power into the grid. Hence the system needs power electronic converters as an interface between renewable energy sources and grid/load. This paper discusses about the integration of three phase six level voltage source inverter into the grid. Three phase 2000 VA inverter is designed by using three, single phase eight switch six level inverters (in quarter cycle) and each single phase inverter uses three DC voltage sources which can be derived from renewable energy sources such as solar, wind and fuel cell. The pure sinusoidal 415V three phase voltage is obtained from inverter to inject the power into grid and to the three phase resistive load. The proposed three phase Multi Level Inverter (MLI) is compared with the conventional three phase inverter and the observed THD of the conventional MLI is 31%. THD of the proposed MLI output voltage is analyzed which is 0.13% and found to be very less compared to six and 12 pulse conventional converter topologies. The simulation on the proposed inverter topology is done in MATLAB/Simulink and the results are verified. More »»

Publication Type: Conference Paper

Year of Publication Publication Type Title

2017

Conference Paper

Dr. Sindhu Thampatty K.C. and Raj, P. C. R., “Design and Implementation of RTRL Based Adaptive Controller for TCSC to enhance power system stability”, in IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2017, pp. 812-817.[Abstract]


The power system complexity is increasing day by day and the requirement of stable, secure and high quality electrical power is mandatory in present scenario. Flexible AC Transmission System (FACTS) devices such as Thyristor Controlled Series Capacitor (TCSC) are commonly used nowadays to improve the power system performance. This paper presents the design and Implementation of non-linear, Adaptive Real Time Recurrent Learning Algorithm (RTRL) based controller for TCSC to damp power system oscillations and enhance the stability of the system. This control scheme requires two sets of neural networks. The first set is a neuro-identifier and the second set is a neuro-controller which generate the required control signals for the thyristors. © 2016 IEEE.

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2017

Conference Paper

R. Mahalakshmi and Dr. Sindhu Thampatty K.C., “Sub-Synchronous Resonance analysis on DFIG based windfarm”, in IEEE Region 10 Annual International Conference, Proceedings/TENCON, 2017, pp. 930-935.[Abstract]


The rapidly growing level of wind energy injection into the grid is insisting the modifications in power system. In order to improve power transfer capability, series capacitive compensation in the transmission line is adopted which leads to Sub Synchronous Resonance (SSR) oscillations. The main objective of this paper is to develop a dynamic model of Doubly Fed Induction Generator (DFIG) based wind farm connected into grid through series compensated transmission line for SSR studies. The small signal stability studies are carried out through Eigen value approach. State space representation of the whole system is developed. Different modes of the systems are identified for different wind speeds and for various series compensation levels.

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2015

Conference Paper

Dr. Sindhu Thampatty K.C. and Raj, P. CbReghu, “Adaptive RTRL based hybrid controller for series connected FACTS devices for damping power system oscillations”, in Proceedings of IEEE International Conference on Technological Advancements in Power and Energy, TAP Energy 2015, 2015, pp. 51-56.[Abstract]


This paper presents a novel design of a co-ordinated controller for series connected FACTS devices like Thyristor Controlled Series Capacitor(TCSC) and Thyristor controlled Power Angle Regulator (TCPAR). The scheme can be used for non-linear system control, in which the exact linearized mathematical model of the system is not required, can be used to control many FACTS devices with a single controller. The basis of the proposed design is the Real Time Recurrent Learning (RTRL) algorithm in which the Neural Network (NN) is trained in real time. This requires two sets of neural networks. The first set is a fully connected Recurrent Neural Network (RNN) which acts as a neuro-identifier that provides the dynamic model of the system. The second set of neural network is the neuro-controller, used to generate the required control signals for the thyristors. Simulations results of the system using MATLAB/SIMULINK show that the performance of the system with the proposed controller is better than the conventional PI controllers and GA-based PI controllers. © 2015 IEEE.

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