Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

The fast depleting rate of fossil fuels necessitates the need for alternate renewable energy sources to generate electricity. Electricity plays a pivotal role in the country's economic development and has a pre-eminent role to play. One way of converting the incident sunlight into electricity is by using PV cells. This proposed paper focuses on using the power generated from PV cells for supplying single phase AC loads. A boost converter with 0.5 duty cycle was fabricated and tested. The results obtained from hardware and software simulation is shown to have better efficiency. This concept is simulated using PLECS software. The boost converter fabricated has specifications of 24-48V conversion and power rating of 96W. The efficiency was found to be 93%. © 2019 IEEE.

VIT Unitversity

Electrical

School of Electrical Engineering

Chennai Campus

2019 Fifth International Conference on Electrical Energy Systems (ICEES)

Design of boost converter with voltage multiplier cell for single phase AC load applications

2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

Sliding Mode Control based Dual-Port Back to Back Current Source Converter

This article proposes an advanced converter technique that integrates all major ports in that double unidirectional source port, one battery port for (charging and discharging), and a single ideal power consumption port (load port). A new multi-port DC-DC power converter is developed when added to a pair of semi conducting switches and a pair of PN junction diodes to a basic half bridge (HB) converter circuit. Zero voltage conduction (ZVC) is performed on every major switch. This technique is implemented for savings huge number of component count and to reduced losses obtained from renewable energy applications. © Springer Science+Business Media Singapore 2017.

Proceedings of 2nd International Conference on Intelligent Computing and Applications Advances in Intelligent Systems and Computing

ZVC Based Bidirectional DC-DC Converter for Multiport RES Applications

This paper presents a review on the application of back-to-back converters in the field of Permanent Magnet Synchronous Generator (PMSG) based Wind Energy Conversion Systems (WECS). The wide applications of the back-to-back converters are power conditioning devices, micro grid, High Voltage Direct Current (HVDC), Renewable energy systems. The intention is to present an overview about the design considerations taken by various researchers in back-to-back converters in the field of Wind Energy Conversion Systems (WECS) and recent developments on it. Generally the configuration of back-to-back converters used are 12 pulse Voltage Source Converters (VSC), 12 pulse Current Source Converter (CSC), 9 Pulse Voltage Source Converter.

Department of Physics

School of Advanced Sciences

Vellore Campus

Fulltext

Indonesian Journal of Electrical Engineering and Computer Science

A Review on Back-to-Back Converters in Permanent Magnet Synchronous Generator based Wind Energy Conversion System

This proposal proposes a DC/DC Buck Boost converter which has been used as a smooth starter for a DC Permanent Magnet Motor. In the existing system the DC/DC Buck Converter is used which provide the output less than the input Signal. Using buck converter it is difficult to increase the value of the input signal. Hence DC/DC Buck- Boost Converter used from which it is possible to get both the increased and decreased output from the given input. Previously pulse width modulation signals with respective to motor voltage is used. However they produce variations in the voltage and current of the motor. The above problem is overcome by using DC/DC Power converter. The proposed system with reduction in size, reduced ripples and increase in speed makes the system to operate at both low and high power applications. The proposed system results in higher efficiency, reduces the ripple content and the stress. The results are validated through MATLAB/Simulink and real time implementation.

Department of Micro and Nanoelectronics

School of Electronics Engineering

World University root node

Desing and Implementation of a Microcontroller Based Buck Boost Converter as a Smooth Starter for Permanent Magnet Motor

Investigation of Solar Panel Performance Based on Different Wind Velocity Using ANSYS Software

This study determines speed control of BLDC motor using a Bridgeless CukConverter (BCC) which enhance low conduction loss as well as lesser number of heat sink. Ascheme in which controlling voltage at output of BCC the variation in the speed of the drive is attained. Operation of cuk converter is carried out discontinuous inductor current mode at output inductance and continuous mode at input inductance and intermediate capacitors for better power factor and good power quality at AC supply mains for various speeds. On eliminating distorted currents at AC mains using filter technique to a BCC thereby improving PQ over suitable limits by IEC 61000-3-2. In this setup,supply ac mains is given to power converter. Power converter consists of BCC and VSI, voltage is varied from DC link and speed of the motor is regulated accordingly. Diode bridge rectifier(DBR) requirement is eliminated to obtain reduced conduction losses. Finally proposed system is validated in simulation and test results are obtained to get PFC at AC mains as well as operation of drive is smooth developing PQ for various range of speeds. © International Science Press.

International Journal of Control Theory and Applications

Design and implementation of Bridgeless Cuk Converter for controlled BLDC motor

The life expectancy of transformers at various operating conditions is not accurately known. Deterioration of power transformer insulation is a function of time and temperature. Since in power transformer, the temperature distribution is not uniform, the part which is operating at the highest temperature will ordinarily undergo the greatest deterioration. Therefore, it is usual to consider the effects produced by the highest temperature hottest spot. The hottest-spot winding temperature is the principal factor in determining life due to loading. The temperature cannot be measured directly because of the hazards in placing a temperature detector at the proper location because of voltage. In this paper a neural network based regression analysis was done to forecast the nature of power transformer insulation oil and life time of transformer including loading conditions.

International Journal of Chemical Sciences

Forecasting the nature of power transformer insulation oil using chemical properties of dissolved gases

Reliable and continued performance of power Transformer is the key to profitable generation and transmission of electric power. Failure of a large power transformer not only results in the loss of very expensive equipment, but it can cause significant guarantied damage as well. Replacement of that transformer can take up to a year if the failure is not disastrous and can result in tremendous revenue losses and fines. A Power Transformer in operation is subjected to various stresses like thermal stress and electrical stress, resulting in liberation of gases from the hydrocarbon mineral oil which is used as insulant and coolant. Dissolved Gas Analysis is a technique used to assess incipient faults of the transformer by analyzing specific dissolved gas concentrations arising from the deterioration of the transformer. DGA is used not only as a diagnostic tool but also to track apparatus failure. In this research work the dissolved gas values measured in PPM for a 230KV/110KV Power Transformer which are obtained from Electricity Board are used as references to the developed Neural Network. The Neural Network was trained and the gas concentration values for forthcoming years were predicted. Using the interpretation result of Key gas method, Rogers method and IS: 10593 method, the predicted gas concentration values compared and the fault of the Power Transformer were predicted. The trained Neural Network shows the good performance for the prediction of fault in a 230KV / 110KV Power Transformer. © 2012 IEEE.