|1||Utilization Of Dstatcom In Matlab To Improvement Of Power Quality By Voltage Control||1 Mr.Ashenafi Selama, 2 Mr.Hagos Desta||
This paper proposes another topology by Distribution Static Compensator utilizing Mat lab. This proposed strategy for control quality change accomplishes UPF which isn't conceivable in past strategies. Most extreme UPF is kept up, while managing voltage at the heap terminal, amid variance of load. Dstatcom illuminates Power quality issues by accomplishing PF rectification, consonant end, stack adjusting, and voltage control in light of the heap prerequisite.
|2||An Active Power Filter Implemented With A Four-Leg Voltage Source Inverter Using A Predictive Control Scheme For RES||1.M. Veena Shree,2.Dr.V.Tamilselvan||
The main aim of paper is to reduce the power quality problems in distribution system by using active filter. In this project PV Connected active type power filter is implemented. An active power filter consists of dc link capacitor, grid interfacing voltage source inverter, and filter. The dc voltage is supplied by photovoltaic system which is stored in capacitor. In this project we are using four leg voltage source inverter which converts DC to AC voltage. And the harmonics are eliminated by filter. Predictive controlling scheme use to operate or control the switches of voltage source inverter.All of these functions may be accomplished either individually or simultaneously. And we observed the simulation results by using MATLAB/SIMULINK
|3||Integrated Inverter Or Converter Circuit For Motor Drives With Dualmode Control For Hybrid Electric Vehicle Applications||1.M Upender Reddy,2.P Pramada Kumari||
In recent years, renewable energy sources such as photovoltaic (PV), wind, fuel cell, etc gain importance due to the limitations of conventional energy sources. Renewable energy sources play an important role in rural areas where the power transmission from conventional energy sources is difficult. Other advantages of renewable energy sources are clean, light and does not pollute atmosphere. In order to meet the required load demand, it is better to integrate the renewable energy sources with the load. Hybrid electric vehicles (HEVs) powered by electric machines and an internal combustion engine (ICE) are a promising mean of reducing emissions and fuel consumption without compromising vehicle functionality and driving performances. The proposed integrated circuit allows the permanent magnet synchronous motor to operate in motor mode or acts as boost inductors of the boost converter, and thereby boosting the output torque coupled to the same transmission system or dc-link voltage of the inverter connected to the output of the integrated circuit. Electric Motors, those are used for EV propulsion must have high efficiency for maximum utilization of the energy from batteries and/or fuel cells. Motor control algorithm for a dual power split system is proposed for hybrid electric vehicles (HEV). A new control technique for the proposed integrated circuit under boost converter mode is proposed to increase the efficiency. Since the light load performance is in recent focus of interest, appropriate algorithms to improve light load efficiency were implemented. The proposed control technique is to use interleaved control to significantly reduce the current ripple and thereby reducing the losses and thermal stress under heavy-load condition. In order to evaluate performance of the control algorithm, HEV simulator is developed using MATLAB/ Simulink. Finally PV fed converter model is connected to induction motor and check the speed torque characteristics of IM. Matlab/Simulink model is developed and simulation results are presented.
|4||Deep Forgery Detector||1.A.DURGA GOWRI SANKAR,2. N.NEERAJA PRIYA,3. S.VAMSI PRASANTH,4. V.MANI KUMAR||
Signature validation is an important biometric technique that aims to detect whether a given signature is forged or genuine. It is essential in preventing falsification of documents in numerous financial, legal, and other commercial settings. The human resources required to process and verify the innumerable transactions that occur on a daily basis is no longer an option. The automation of signature validation is not just to verify but to detect fraud. Automated Signature validation is a solution for efficient and fast validation of the signature that is a must to offer the best. There are multiple ways to automate the process of signature validation. The performance of traditional ways like Fuzzy models, Hidden Markov models are still far from optimal when we test the systems against skilled forgeries - signature forgeries that target a particular individual. Moreover it is a time and effort consuming process since the features need to be extracted after processing an image. The current best approach is to use Deep Learning. Our work aims to automate the process of signature validation by using Deep Convolutional Neural Networks. This reduces the need of feature extraction and once a modal is trained, we can supply the raw signatures as input which helps in obtaining fast and effective results.
|5||Identification Of Faulted Distributed Line In An Ungrounded System For Symmetrical Faults||1.P Srinivas, 2.G Sandya Rani||
Occurrence of symmetrical fault causes very low fault current, which causes difficulty in identifying the faulted line in an ungrounded system. Due to the complexity of distribution network, there is every necessity to clear the fault in very short span of time otherwise complete system will be affected. In order to overcome this difficulty, an ungrounded system is temporarily converted as a grounded system using thyristor based grounding. Due to this the magnitude of fault current will be increased, which helps in identifying the faulted line in distribution system. In this paper the methodology of identification of faulted line is presented using thyristor grounding method. The effectiveness of this method is verified by theoretical analysis and simulation results. This method is also applicable for resonant grounded and high resistance grounded systems.