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Suneetha M.,JNTUCE | Rao R.S.,JNTUCE
Proceedings of 2016 International Conference on Data Mining and Advanced Computing, SAPIENCE 2016 | Year: 2016

Reactive power control is a very essential and necessary strategy to maintain the safe and reliable operation of power systems. There are different methods available for optimization of reactive power. In spite of the advantages of power electronic devices, placement of the capacitors still remains technically viable and an economically affordable option for reactive power control. In this paper we have proposed a method of reactive power control by optimum sizing of capacitor with the help of particle swarm optimization. In this work we have presented a method to reduce the reactive and active power losses by having a coordinated and constrained optimization approach. To validate the proposed approach an IEEE 30 bus, test bus considered. At tool in the form of Graphical User Interface is also presented as part of this work. © 2016 IEEE.

Kumar M.R.,Pvp Siddhartha Institute Of Technology | Satyanarayana S.,Tenali Engineering College | Ganesh V.,JNTUCE
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

This paper presents and validates the balanced radial distribution network (RDN) Matlab/Simulink model. The validation of Simulink model is carried out by comparing node voltages, total active and reactive power loss of balanced RDN with an existing vector distribution load flow (VDLF) method. The Simulink model is very helpful for proper sizing of distributed generation (DG) in RDN in considering DG as negative load. The proposed model is tested for 12, 15, 33 and 69-bus test balanced RDN. The variation in total active power loss (TPL) and total reactive power loss (TQL) for different penetration level of different types of DG are presented. At a given location, an optimal penetration level of DG to minimize total power loss is found by applying the proposed Simulink model for the 12-bus system. © 2016 IEEE.

Digital image compression technology is of special interest for the fast transmission and real-time processing of digital image. However image compression is a trend of research grown for a long time and there are multiple sophisticated approaches which significantly improve the compression rate and down grade computation time, a basic comparison with the aspect of storage on cloud environment is required. This work analyzes about the background of image compression, including when image compression is needed, categories of techniques and their properties. However compression uses many algorithms that store an exact representation or an approximation of the original image in a smaller number of bytes that can be expanded back to its uncompressed form with a corresponding decompression algorithm. This work majorly focuses on analyzing the impact of generic image compression techniques for high data loads on cloud storage services. © 2016 IEEE.

Sreenivasulu U.,Mits | Giriprasad M.N.,JNTUCE
Journal of Theoretical and Applied Information Technology | Year: 2016

The exponential growth observed in the arena of wireless access technologies predominantly in the IEEE 802.16 networks put forth’s a large overhead in the uplink scheduling schemes particularly when rendering real time services. This paper introduces an evolutionary computation based uplink scheduling scheme (ESS) with Quality of Service (QoS) gurantee. A service threshold time is introduced in the ESS scheme to meet the QoS requirements and it determines the adaptive weights assigned to the service. The base station based on the weights ascertains the modulation scheme required to evade QoS violation and constructs the scheduling set. In addition of the adaptive weights the channel interference parameters is also considered to construct the scheduling set. The scheduling set is optimized to achieve the desired QoS parameters utilizing evolutionary computation techniques. The performance of ESS scheduling scheme is evaluated and the results obtained not only prove higher slot success rates, higher system throughput but also prove its QoS provisioning competence and its efficiency over an existing scheduling scheme. © 2005 - 2016 JATIT & LLS. All rights reserved.

Ravikanth M.,CMRTC | Vasumathi D.,JNTUCE
Journal of Theoretical and Applied Information Technology | Year: 2017

Record De-duplication is the important task under merging different database records. We can provide tuning results to the users after implementation of de-duplication operation. Existing approaches are failing under tuning of web databases and removal of duplicate records. All existing approaches are not providing efficient and effective results [1] [2] [3] [4]. In this paper we are designing one new prototype discussion related to effective and enhanced de-duplication. Prototype design starts with fuzzy clustering and genetic algorithm. Its can control more number of duplicate records compare to other approaches. Its saves more storage and time compare to other approaches [12] [13]. In distributed databases the complexity of finding similarity factor is very high. The existing techniques are not accurate to minimize the duplication in the same data base. In the present work a new technique is proposed to improve the accuracy level [24]. In the proposed work a multi-level technical process implemented like tuning. The tuning technique finds all types of duplicated documents in the database. Here all duplicate files are searched with all attributes in sequential order in tree fashion. The results are further improved and reached to an optimized and acceptable range with new data duplication detection method with Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). It further removes unwanted residual files from the database. Bases on the view of previous ranking system problems a new manifold ranking is proposed in the current research work. In the proposed system the ranking is evaluated with new multimodality manifold ranking with sink points. © 2005 – ongoing JATIT & LLS.

Gopal N.R.,BEC | Satyanarayana S.V.,JNTUCE
Desalination | Year: 2011

The single-objective optimization study by Satyanarayana and Bhattacharya (2003) [1] on removal of volatile organics from aqueous solution by single stage pervaporation without recycling has been extended by treating it as a multi-objective optimization problem. The various costs of the process namely-initial capital cost, feed pumping cost, vacuum and condensation cost and membrane replacement cost constitute the objective functions. The present work attempts to explore the pervaporation process economics by employing artificial intelligence method of non-dominated sorting genetic algorithm-II (NSGA-II). The cost of feed pumping offers significant trade-off with the costs of initial capital or vacuum and condensation. Although to a lesser extent, the trade-offs are also available between the costs of initial capital and vacuum and condensation. The results from this study clearly establish that the major costs for removal of volatile organics from water are feed pumping, initial capital, and vacuum and condensation. © 2011 Elsevier B.V.

Pandu Ranga Reddy G.,G.P.C.E.T | Vijaya Kumar M.,J.N.T.U.C.E
Journal of Electrical Engineering | Year: 2015

Renewable energy is catching people's attention with increasing global energy consumption and noticeable environmental pollution across the globe. Wind energy is the one of the most available and exploitable forms of renewable energy. Winds blow from a region of higher atmospheric pressure to one of lower atmospheric pressure. In variablespeed wind turbines grid synchronization is possible at any operational speed. For this, it is necessary to operate the converter station with effective modulation technique. This paper presents the analysis of variable speed wind energy conversion system employing double fed induction generator with SPWM and SVPWM type converters. The MATLAB/SIMULINK software is used for simulating the models.

Kumar K.S.,JNTUCE | Satyanarayana S.V.,JNTUCE
Asia-Pacific Journal of Chemical Engineering | Year: 2011

Pervaporation processes are being increasingly adopted for environmental applications, and also for developments in many industrial reactions and their reactor systems. This study is related to pervaporation-facilitated esterification. A parametric study was carried out in order to provide a fundamental understanding of the reactor behaviour. A batch reactor integrated with a pervaporation unit was selected as the model system. The model validity was confirmed by comparison with literature data. Simulations demonstrated that conversions exceeding equilibrium limits can be achieved by using pervaporation to remove water from the reaction mixtures, and that complete conversion of one reactant is possible when the other reactant is present in excess. Simulations also showed that conversion was less effected by the presence of water, which can be either in the reaction medium or as an impurity of the reacting reagent. The influence of several process parameters on reaction performance is discussed; for example membrane permeability, membrane area, volume of the reaction mixtures, temperature, excess reactant versus conversion, and water concentration in the reactor. Copyright © 2010 Curtin University of Technology and John Wiley & Sons, Ltd.

Ramana T.,HP Global Soft Ltd | Ganesh V.,JNTUCE | Sivanagaraju S.,JNTUCE
International Journal on Electrical Engineering and Informatics | Year: 2013

The proposal of this paper is on a simple and fast distribution load flow solution algorithm. The proposed method fully exploits the radial structure of the network and solves the distribution load flow directly using the single dimension vectors. An effective data structure is proposed to identify lines and number of lines available beyond the particular line. Using this concept, power summations are calculated to obtain the distribution load flow solution. Unlike other traditional methods, the proposed method consider the effective convergence approach which is not only simple and fast but also is efficient from time perspective and needs very less memory for any size of the distribution system compared with the existing methods. The proposed concept was tested on standard distribution system and results are promising and have great potential for applications in the distribution automation.

Kusagur A.,Jawaharlal Nehru Technological University | Kodad S.F.,Krishnamurthy Institute of Technology and Engg | Sankar Ram B.V.,JNTUCE
Journal of Electrical Systems | Year: 2010

This paper presents a novel design of a Takagi-Sugeno fuzzy logic control scheme for controlling some of the parameters, such as speed, torque, flux, voltage, current, etc. of the induction motor. Induction motors are characterized by highly non-linear, complex and time-varying dynamics and inaccessibility of some of the states and outputs for measurements and hence it can be considered as a challenging engineering problem. The development of advanced control techniques has partially solved some of the induction motor's speed control problems; because they were sensitive to drive parameter variations and the performance may deteriorate if conventional controllers are used. Fuzzy logic based controllers are considered as potential candidates for such an application. Further, the Takagi-Sugeno control strategy coupled with fuzzy logic rule based approach when employed to the induction motor yields excellent results compared to the other methods as this becomes a hybrid & integrated method of approach. Such a mixed implementation leads to a more effective control design with improved system performance, cost-effectiveness, efficiency, dynamism, reliability & robustness. Due to the usage of the TS-FLC concept in closed loop with the plant, the dynamic characteristics of the AC drives increases as the developed strategy does not require the mathematical model of the controller unlike that of the conventional electrical drive controller, which uses the mathematical model, which is the highlight of the paper. The sudden fluctuation or change in speed & its effect on the various parameters of the dynamic system is also considered in this paper. The designed controller not only takes care of the sudden perturbations in load torque & speed, but also brings back the parameters to the reference or the set value in fraction of seconds, thus exhibiting the robustness behavior. In other sense, the designed controller is robust to parametric variations. The closed loop speed control of the induction motor using the above technique thus provides a reasonable degree of accuracy which can be observed from the simulation results depicted at the end. Simulink based block model of induction motor drive was developed & used for the simulation purposes. Further, its performance is thereby evaluated for the control of various parameters. The method presented in this paper provides robustness of the induction machine towards the parametric variations compared to the conventional speed control of induction motor drives & has got a faster response time or settling times. The simulation results presented in this paper show the effectiveness of the method developed & have got a wide number of advantages in the industrial sector & can be converted into a real time application using some interfacing cards. © JES 2010.

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