Lecture Notes in Electrical Engineering

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Lecture Notes in Electrical Engineering Lecture Notes in Electrical Engineering Volume 446 Board of Series editors Leopoldo Angrisani, Napoli, Italy Marco Arteaga, Coyoacán, México Samarjit Chakraborty, München, Germany Jiming Chen, Hangzhou, P.R. China Tan Kay Chen, Singapore, Singapore Rüdiger Dillmann, Karlsruhe, Germany Haibin Duan, Beijing, China Gianluigi Ferrari, Parma, Italy Manuel Ferre, Madrid, Spain Sandra Hirche, München, Germany Faryar Jabbari, Irvine, USA Janusz Kacprzyk, Warsaw, Poland Alaa Khamis, New Cairo City, Egypt Torsten Kroeger, Stanford, USA Tan Cher Ming, Singapore, Singapore Wolfgang Minker, Ulm, Germany Pradeep Misra, Dayton, USA Sebastian Möller, Berlin, Germany Subhas Mukhopadyay, Palmerston, New Zealand Cun-Zheng Ning, Tempe, USA Toyoaki Nishida, Sakyo-ku, Japan Bijaya Ketan Panigrahi, New Delhi, India Federica Pascucci, Roma, Italy Tariq Samad, Minneapolis, USA Gan Woon Seng, Nanyang Avenue, Singapore Germano Veiga, Porto, Portugal Haitao Wu, Beijing, China Junjie James Zhang, Charlotte, USA “Lecture Notes in Electrical Engineering (LNEE)” is a book series which reports the latest research and developments in Electrical Engineering, namely: • Communication, Networks, and Information Theory • Computer Engineering • Signal, Image, Speech and Information Processing • Circuits and Systems • Bioengineering LNEE publishes authored monographs and contributed volumes which present cutting edge research information as well as new perspectives on classical fields, while maintaining Springer’s high standards of academic excellence. Also considered for publication are lecture materials, proceedings, and other related materials of exceptionally high quality and interest. The subject matter should be original and timely, reporting the latest research and developments in all areas of electrical engineering. The audience for the books in LNEE consists of advanced level students, researchers, and industry professionals working at the forefront of their fields. Much like Springer’s other Lecture Notes series, LNEE will be distributed through Springer’s print and electronic publishing channels. More information about this series at http://www.springer.com/series/7818 M.C. Bhuvaneswari • Jayashree Saxena Editors Intelligent and Efficient Electrical Systems Selected Proceedings of ICIEES’17 123 Editors M.C. Bhuvaneswari Jayashree Saxena Electrical and Electronics Engineering Anora LLC PSG College of Technology Plano, TX Coimbatore, Tamil Nadu USA India ISSN 1876-1100 ISSN 1876-1119 (electronic) Lecture Notes in Electrical Engineering ISBN 978-981-10-4851-7 ISBN 978-981-10-4852-4 (eBook) https://doi.org/10.1007/978-981-10-4852-4 Library of Congress Control Number: 2017940536 © Springer Nature Singapore Pte Ltd. 2018 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore Preface Intelligent and efficient electrical systems have been the topic of discussion and intense debate among electrical engineering professionals and academics world- wide. This edited volume on “Intelligent and Efficient Electrical Systems” is an outcome of the selected papers presented in the Second International Conference on Intelligent and Efficient Electrical Systems, (ICIEES’17) held on 20–21 January 2017 in Coimbatore, Tamil Nadu, India. This conference organized by the department of Electrical and Electronics Engineering, PSG College of Technology since 2001, occurs every four years. This conference brings together researchers in industry and academia to exchange their ideas, applications and innovative tech- niques in the area of intelligent and efficient electrical systems. This year’s conference had three keynote addresses and six technical paper sessions. The technical paper sessions were on Smart Grid Systems, Power Converters and Drives, Power Systems, Data Communication & Signal Processing, Renewable Energy Systems and Embedded & Control Systems. Chapter “Multi-Objective Optimization of Stand-alone Renewable Energy Hybrid System” focuses on multi-objective optimization algorithm for hybrid systems that uses solar, wind, diesel energy systems along with battery and inverter. Chapter “Wind Farm Power Prediction Based on Wind Speed and Power Curve Models” deals with a combined power prediction models of nonlinear auto regressive wind speed model together with the wind turbine power curve model for very short-term forecasting of wind power. Chapter “Integration of Wind Power Generators for the Enhancement of Profit by Optimal Allocation of SVC” presents an optimal allocation of static VAR compensator (SVC) for wind power generators with IEEE 6 bus system, and a Grey Wolf Optimizer (GWO) algorithm is used to solve optimal power flow (OPF) problem. Chapter “Block-Random Access Memory-Based Digital Pulse Modulator Architecture for DC–DC Converters” deals with digital pulse mode architecture using FPGA to control the DC–DC converters with high degree of resolution to provide accurate output voltage. v vi Preface Chapter “Fractional-Order Controller Design and Analysis for SEPIC Converter” focuses on the optimized genetic algorithm-based fractional-order PI (FOPI) con- troller for a single-ended primary inductance converter (SEPIC) to get better transient performance. Chapter “Advanced Energy Management of a Micro-grid Using Arduino and Multi-agent System” presents the optimization of distributed energy management of solar micro-grid system with a multi-agent system approach using Java Agent Development Environment. Chapter “Sustain the Critical Load in Blackout Using Virtual Instrumentation” deals with blackout power system restoration process to handle critical loads using LabVIEW. Chapter “Optimal Single and Multiple DG Installation in Radial Distribution Network Using SLPSO Algorithm” deals with an efficient social learning particle swarm optimization (SLPSO) algorithm for sizing and location of distributed generation (DG) units in radial distribution network. Chapter “Dynamic Modeling and Control of Utility Interactive Microgrid Using Fuzzy Logic Controller” deals with the application of fuzzy logic-based PQ control technique for micro-grid system consisting of photovoltaic (PV) and solid oxide fuel cell (SOFC). Chapter “A Novel Method of Power Quality Improvement in BLDC Motor Using Cascaded H-Bridge MLI Topology” presents a modelling and simulation of BLDC motor using cascaded H-bridge multi-level inverter (MLI). Chapter “Tuning of Fractional Order Proportional Integral Derivative Controller for Speed Control of Sensorless BLDC Motor using Artificial Bee Colony Optimization Technique” deals with a GA and a novel Artificial Bee Colony (ABC)-based tuning methods of fractional-order proportional integral derivative (FOPID) controller for BLDC motor. Chapter “Torque Ripple Minimization of a FOC-Fed PMSM with MRAS Using Popov’s Hyper-Stability Criterion” presents a Popov’s hyper-stability criterion-based model reference adaptive control system (MRAS) for torque and flux ripples reduction technique in PMSM. Chapter “Effectual Particle Swarm Optimization Algorithm for the Solution of Non-convex Economic Load Dispatch Problem” deals with effectual particle swarm optimization EPSO to solve the convex and non-convex economic load dispatch (ELD) problems. Chapter “Differential Evolution with Parameter Adaptation Strategy to Economic Dispatch Incorporating Wind” presents an efficient, reliable and pow- erful population-based real parameter optimization algorithm for economic load dispatch of wind forms. Chapter “Application of Cuckoo Search Algorithm in Deregulated Economic Load Dispatch” deals with the economic load dispatch problems in deregulated power system network using meta-heuristic and stochastic search methods. Chapter “An Investigation of Small-Signal Stability of IEEE 14 Bus System with AVR, PSS and Performance Comparison with FACTS Devices” focuses to improve transient stability margin, increased power transfer capability, real and reactive power Preface vii compensation and good power oscillation damping using FACTS devices like SVC and UPFC. Chapter “Investigation on the Properties of Natural Esters Blended with Mineral Oil and Pyrolysis Oil as Liquid Insulation for High Voltage Transformers”
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