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Goel K.,Thapar University | Goel I.,Sun Eee Inc.
Proceedings of the International Conference on Inventive Computation Technologies, ICICT 2016 | Year: 2017

In Today's era the role of information technology has seen a great influence on the upcoming or existing inventions. The need of storage and computational power has all always been an issue until cloud computing came into emergence. Due to emergence of big data it has been difficult to manage data so for this purposes cloud computing is a great technique. In this paper the advantages and various service models of cloud are discussed. This paper highlights the need of cloud computing in today's world. This paper shows the importance of cloud computing in the field of social media applications which can be used by advertising companies to share huge data. Also paper puts forward the proposed model that can deal with data redundancy with the help of cloud computing in connecting social media sites with advertising companies.


Suresh Kumar L.V.,Sun Eee Inc. | Nagesh Kumar G.V.,Gandhi Institute of Technology and Management
International Journal of Energy Research | Year: 2017

Grid-connected photo voltaic (PV) systems are being developed very fast and systems from a few kW to tenths of a MW are now in operation. As an important source of distributed generation (DS) the PV systems need to comply with a series of standard requirements in order to ensure the safety and the seamless transfer of the electrical energy to the grid. Multilevel voltage source converters (VSC) is a heart of the PV system and are emerging as an important power converter options for low, medium, and high-power applications. These VSCs have bought numerous advantages, especially in renewable energy systems such as PV and wind energy systems. In this article, several topologies of VSCs, which brings together some concepts from traditional converters and multi-level converters, are presented. Also, several control strategies for controlling current, voltage, active power and reactive power have also been reviewed. Various topologies with their technical aspects have been reviewed and the best suitable topology and control scheme for grid connected PV and wind energy systems has been suggested. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd.


Prasad E.S.,Sun Eee Inc. | Ram B.V.S.,Sun Eee Inc.
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

This paper mainly proposes a speed and current control strategy to minimize torque ripple in Switched Reluctance Motor (SRM). The dynamic behavior of the SRM is analyzed in terms of the parameters such as the speed, current, inductance and torque. Based on the parameters, the motor speed is controlled and minimized the torque ripples. After that, the control signal is generated for controlling the speed of the SRM. Hence, this paper proposed an enhanced speed and current control with PWM mode to minimize the torque ripples. A recent optimization approach based current and torque control technique is proposed for regulating the speed of the SRM. Here, Ant-Lion Optimizer (ALO) algorithm based Fractional Order PID (FOPID) controller is utilized to analyze the speed and torque of SRM. To get the optimal results of FOPID controller, the gain parameters are optimized. The ALO algorithm is utilized to achieve the optimal gain parameter of the FOPID controller. Finally, the proposed technique is implemented in the Matlab/Simulink platform. The performance analysis of the proposed method is demonstrated and contrasted with the existing techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm techniques. © 2016 IEEE.


Devi Atluri M.,Sun Eee Inc. | Kumar B.R.,Sun Eee Inc. | Reddy U.V.,Sun Eee Inc.
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

Most of the domestic, industrial and agricultural loads are inductive in nature which results in lagging power factor further corresponding to power losses at substation level to consumer level. To avoid this, capacitor banks at large scale are installed at the substation (near to the source). As every boon comes with a bane, capacitor banks too causes high frequency and high current transients during switching of the capacitor banks. This paper deals with the comparison of various methods which use a passive element like resistor in various configurations to control the peak value of transient currents in a 11KV distribution system. © 2016 IEEE.


maramreddy H.V.R.,GPREC andhra pradesh India e mail maramreddyharsha@gmail.com | Teegala B.R.,Sun Eee Inc. | bumanapalli R.R.,JNTUH College of Engineering | munagala S.,JNTUH College of Engineering
IEEE Transactions on Industrial Electronics | Year: 2017

To improve the quality of output voltage in dual inverter fed open end winding induction motor drive, the DC voltages should be maintained in the ratio of 2:1. In such configuration with continuous modulating signal based PWM (CPWM) technique, overcharging of DC-link capacitor of inverter with low input DC voltage is observed (ratio of 2:1 is not maintained). Hence wide range of speed control is not possible with CPWM technique. The existing decoupled PWM methods and nested rectifier configuration may generate output voltage with poor quality and also increases the cost of the drive system. IEEE


Krishna D.S.G.,Sun Eee Inc. | Patra M.,Sun Eee Inc.
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

ADC microgrid system made up of the utility grid, solar PV, electric double layer capacitor (EDLC), and loads is proposed and a three pole DC distribution line is adopted. A novel, two-phase interleaved boost converter having reduced size of filter (capacitor), with a compensator for better voltage regulation is introduced. This is better suitable for a DC microgrid to coalesce solar photovoltaic (PV) output into DC distribution. Also a bidirectional two-phase interleaved boost converter is used as EDLC converter. This system deals with 340V DC power supply which can supply high quality power with three wire (+170V line, neutral line and -170V line) DC distribution line. A voltage balancer is introduced for balancing positive and negative voltage. The performance of two-phase boost converter within a DC microgrid environment is demonstrated through simulation using the software MATLAB/SIMULINK. © 2016 IEEE.


Krishna D.S.G.,Sun Eee Inc. | Ravali M.,Sun Eee Inc.
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

The concept of PV panel characteristics under partially shaded conditions, individual PV panel Maximum Power Point Tracking (MPPT) for better utilization of power output of each panel and artificial neural networks (ANN) controller for tracking actual MPP under partially shaded conditions are presented in this paper. By this setup we extract maximum obtainable solar power from a PV module and use the energy for a DC application. Proposed work presents a two-stage maximum power point tracking (MPPT) controller for a photovoltaic (PV) source using Artificial Neural Network (ANN), under varying weather conditions of solar intensity, solar irradiation and module temperature. At the first-stage, the Artificial Neural Network controller is trained with the data of voltage, irradiance, intensity and temperature of a solar panel which gives the range of duty ratio as an input to the MPPT controller. In the second stage, a simple MPPT controller searches for MPP in the range given by the ANN controller thus quickens the response of the system and by changing the duty cycle of a DC-DC boost converter accordingly tracks the MPP. The MPP of each individual pv panel are tracked and cascaded at the end through a dc link. In this method, experimental data collection of a solar panel is used for development of the ANN architecture which is developed in Weka-3.9 and MATLAB. The whole system is simulated in MATLAB Simulink. © 2016 IEEE.


Liu S.,Sun Eee Inc. | Zhang J.,SCE | Miao C.,SCE | Theng Y.-L.,Nanyang Technological University | Kot A.C.,Sun Eee Inc.
10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011 | Year: 2011

The problem of unfair testimonies has to be addressed effectively to improve the robustness of reputation systems. We propose an integrated CLUstering-Based approach called iCLUB to filter unfair testimonies for reputation systems using multi-nominal testimonies, in multiagent-based electronic commerce. It adopts clustering and considers buying agents' local and global knowledge about selling agents. Experimental evaluation demonstrates promising results of our approach in filtering various types of unfair testimonies. Copyright © 2011, International Foundation for Autonomous Agents and Multiagent Systems (www.ifaamas.org). All rights reserved.


Kalaivani L.,Sun Eee Inc. | Subburaj P.,Sun Eee Inc.
2011 1st International Conference on Electrical Energy Systems, ICEES 2011 | Year: 2011

A fuzzy control scheme and adaptive neuro fuzzy inference system for torque-ripple minimization of switched reluctance machines is presented. The fuzzy parameters are initially chosen randomly and then adjusted to optimize the control. The controller produces smooth torque up to the motor base speed. The torque is generated over the maximum positive torque-producing region of a phase. This increases the torque density and avoids high current peaks. The controller is robust toward errors in the rotor position information, which means inexpensive crude position sensors can be used. This paper presents a novel method of controlling the motor currents to minimise the torque ripple based on a fuzzy logic current compensator. In the proposed controller, a compensating signal is added to the output in a current-regulated speed control-loop. The compensating signal is learned prior to normal operation, in a self-commissioning run, but the neuro-fuzzy methodology is also suitable for on-line self-learning implementation, for continuous improvement of the compensating signal presented. The controller shows good response in both cases. Performance of the proposed strategy is verified by simulation using MATLAB. © 2011 IEEE.


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