Archive Browsing VOLUME 7 ISSUE 04 NOVEMBER 2018

A Novel Approach of DG Allocation using Grey Wolf Optimization and Particle Swarm Optimization
Abstract: Distributed generations (DGs) connected to distribution networks are becoming more and more popular. They can be used as a means to reduce the environmental impacts of energy production. However, despite the many advantages the DG brings to the network, poor planning and malfunctioning can lead to negative effects on distribution networks. An increase in power losses, a problem of voltage stability and poor functioning of the control equipment are three of the main impacts that a poor integration of a DG can bring to the network. To compensate for these negative effects, this paper presents an approach to find the optimal location and sizing of the integration of new DGs into the network while reducing power losses and improving the voltage profile. In addition, coordinated voltage control is presented to find the optimal setting of the active and reactive powers of the DG. This paper proposes a framework for DG allocation unit using Grey Wolf Optimization and Particle Swarm Optimization to minimize the active power loss. IEEE-33 bus test system is used for Type-I, Type-II and Type-IV DG allocation

Authors: Disha Sharma, Shoyab Ali

File Name: Disha_70400-18-101.pdf
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Fingerprint Recognition using Neural Network based Hybrid Approach
Abstract: This paper presents a neural network (NN) architecture for a system of recognition of people through the biometric measurement of the fingerprint. In this system, a database of the fingerprint image is processed by means of morphological operations. The inputs to the neural network architecture are the processed fingerprint images and the output is the number of the person identified. This work proposes the hybridization of DWT (Discrete Wavelet Transform) and LBP (Local Binary Pattern) features of the images to train the neural network. The classification accuracy obtained with the hybrid approach on the images is 85% with a 60:40 ratio of training and testing respectively.

Authors: Mayur Nagin Dongre

File Name: Mayur_70400-18-102.pdf
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Firefly Algorithm based Optimization of Cluster Head Election

Authors: Nikhil Garewal, Deepak Pancholi

File Name: Nikhil_70400-18-104.pdf
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