Icssccet2017035

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International Conference on Systems, Science, Control, Communication, Engineering and Technology

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International Conference on Systems, Science, Control, Communication, Engineering and Technology 2017 [ICSSCCET 2017]

ISBN Website Received Article ID

978-81-933235-0-2 icssccet.org 10 – January – 2017 ICSSCCET035

VOL eMail Accepted eAID

01 icssccet@asdf.res.in 28 - January – 2017 ICSSCCET.2017.035

Unit Commitment with Lagrange Relaxation Using Particle Swarm Optimization 1,4

JBV Subrahmanyam1, Dhasharatha G2, Kranthi Kumar V3, Sankar Babu P4 Professor, 2,3Asst. Professor, Department of EEE, TKR Engineering College Hyderabad, India

Abstract: Unit commitment has been solved with many techniques viz., genetic algorithms evolution ary programming, simulated annealing, optimization and tab along with the combination of dynamic programming. This paper proposes Particle swarm Optimization combined with Lagrange Relaxation method (LR) for solving Unit Commitment (UC). The results from the test samples are compared with those obtained by Particle swarm optimization for solving unit commitment, Genetic algorithm and LR. The shortcoming of branch-and-bound is the exponential growth in the execution time with the size of UC problem. The integer and mixed integer methods adopt linear programming technique to solve and check for an integer solution. These methods have only been applied to small UC problems and have required major assumptions which limit the solution space. Lagrange relaxation for UC problem was superior to dynamic programming due to its faster computational time. However, it suffers from numerical convergence and solution quality problems. Furthermore, solution quality of LR depends on the method to update Lagrange multipliers. This paper proposes a new hybrid method for solving UC problem. The proposed method is developed in such way that a particle swarm optimization technique is applied to update Lagrange multipliers and improves the performance of LR method. To illustrate the effective of the proposed method, it is tested and compared to the conventional LR [69], GA [69], and HPSO [79] on 4 units test system and 10 units test system, respectively.

ISBN Website Received Article ID

978-81-933235-0-2 icssccet.org 10 – January – 2017 ICSSCCET036

VOL eMail Accepted eAID

01 icssccet@asdf.res.in 28 - January – 2017 ICSSCCET.2017.036

Performance Analysis of Multi-walled Carbon Nanotube Bundle Interconnects 1,2,3

Deepthi1, Aravind2, Shivaprasanna3 Department of ECE, TKR Engineering College, Hyderabad, India

Abstract: In this paper frequency and stability responses have been acquired at longer interconnect lengths for multi-walled carbon nanotube bundle (MCB). The performance of MCB interconnect is analysed using driver interconnect load while interconnect length increases stability increased. In order to illustrate the modelling of MCB interconnect to analyse frequency, ABCD matrix has been implemented. Further, it is noticed that the cut-off frequency of MCB interconnects is 20.1GHz for an interconnect length of 2mm. The results are validated with HSPICE simulations.

This paper is prepared exclusively for International Conference on Systems, Science, Control, Communication, Engineering and Technology 2017 [ICSSCCET 2017] which is published by ASDF International, Registered in London, United Kingdom under the directions of the Editor-in-Chief Dr JBV Subrahmanyam and Editors Dr. Daniel James, Dr. Kokula Krishna Hari Kunasekaran and Dr. Saikishore Elangovan. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage, and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honoured. For all other uses, contact the owner/author(s). Copyright Holder can be reached at copy@asdf.international for distribution.

2017 © Reserved by Association of Scientists, Developers and Faculties [www.ASDF.international]


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