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Ambāla, India

Kanthwal A.,Chandigarh University | Ganesh A.,MMEC
International Journal of Applied Engineering Research

This paper presents the simulation of a hybrid Wind-Diesel power plant. Combining two or more generating technologies such as wind and diesel creates a hybrid power system. For remote locations, far from public power grid, the hybrid system forms a self sufficient power supply. This paper presents the modelling and simulation of an isolated Wind/Diesel system. High-penetration, no-storage wind diesel (HPNSWD) system requires a fast-acting dump load controller to maintain the system frequency stability and quality. Individual system components i.e Diesel Set and Wind Set are simulated and discussed in detail. The impact of penetrative variations wiz variations of wind speed, distance between Wind turbine and Diesel generator and fault analysis is effectively demonstrated by simulation results. © Research India Publications. Source

Ahuja A.,MMEC | Narayan S.,PEC University of Technology | Kumar J.,PEC University of Technology
Proceedings of 6th IEEE Power India International Conference, PIICON 2014

In this paper, design of Fractional order proportional-integral-derivative (FOPID) controller is designed for load frequency control (LFC) of power system. The performance of FOPID controller is compared with proportional-integral-derivative (PID) and proportional-integral (PI) controllers. The comparison is made based on various time domain performance indices such as Integral of absolute error (IAE), Integral of square error (ISE), Integral of time absolute error (ITAE), Integral of time square error (ITSE) and integral of square time square error. When load frequency control of power system is to design for open communication network, delay occur in area control error (ACE) signal. Delay issues in damping frequency oscillation w.r.t. change in load variation are also discussed. Particle Swarm Optimization (PSO) technique is being used to tune the parameters of the controllers. It is shown that FOPID controller has better dynamic performance than other controllers. © 2014 IEEE. Source

Garg A.K.,MMEC
International Journal of Software Engineering and its Applications

Optical Burst Switching (OBS) is one of the most important switching technologies for future IP over wavelength division multiplexing (WDM) networks. In OBS Network, the burst assembly technique is one of the challenging issues in the implementation of the system. It has the influence on the burst characteristic, which gives an impact on the network performance. In this paper, an efficient hybrid burst assembly approach based on approximate queueing network model has been proposed. An approximate queueing network model has been used to reduce the time complexity in comparison to exact model. Throughput performance is investigated taking into account both burst loss probability and the time complexity of the proposed approach. Simulation results indicate that the hybrid approach based on variable burst length threshold and fixed maximum time limitation provides the lowest loss probability and assembly delay time as compared to conventional techniques. Estimation results show that burst buffering delay is reduced and needless bandwidth reservation is prevented. The hybrid approach utilizes Latest Available and First Fit Unused Channel with Void Filling (LA-FFVF) scheduling algorithm for resource reservation. Results represent a good trade-off between burst blocking performance and scheduling time. Source

Gupta R.R.,MMEC
International Journal of Computational Methods in Engineering Science and Mechanics

The main objective of the present paper is to study the propagation of waves in the viscoelastic transversely isotropic medium in the context of thermoelasticity with GN theory of type II and III. With the help of boundary conditions on displacements, stresses, and temperature distribution, wave equations have been solved. Numerically simulated results have been plotted graphically with respect to frequency to evince the effect of anisotropy. © 2013 Copyright Taylor and Francis Group, LLC. Source

Kaur B.,ECE | Garg A.,MMEC
ICECT 2011 - 2011 3rd International Conference on Electronics Computer Technology

Edge detection is a terminology in image processing and computer vision particularly in the areas of feature detection and extraction to refer to the algorithms which aims at identifying points in a digital image at which the image brightness changes sharply or more formally has discontinuities. The need of edge detection is to find the discontinuities in depth, discontinuities in surface orientation, changes in material properties and variations in scene illumination. Remote sensing images are generally corrupted from noise. Mathematical morphology is a new technique for edge detection. It is a theory and technique for analysis and processing of geometrical structures, based on set theory. Mathematical morphology was originally developed for binary images, and later extends to grey scale functions and images. Basically the noise can be easily suppressed by mathematical morphology. So by using mathematical morphology the image can be enhanced and the edges can be detected. The result of edge detection using mathematical morphology will be compared with Sobel edge detector, Prewitt edge detector, laplacian of gaussian edge detector and Canny edge detector. © 2011 IEEE. Source

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