Bio-Inspired Algorithms in PID Controller Optimization: 1st Edition (Hardback) book cover

Bio-Inspired Algorithms in PID Controller Optimization

1st Edition

By Jagatheesan Kallannan, Anand Baskaran, Nilanjan Dey, Amira S. Ashour

CRC Press

76 pages | 27 B/W Illus.

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pub: 2018-06-01
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Description

This book discusses in-depth role of optimization to optimize the controller parameters with reference to bio-inspired algorithms. Comparative studies to evaluate the performance of different optimization techniques in terms of the settling time, overshoot and undershoot responses of the frequency deviations, tie-line power flow deviations, and the area control error are included, supported by examples. The book also includes different scenarios of the load frequency controller for single area as well as multi-area thermal power generating unit considering different algorithms.

Key Features:

Highlights the importance of tuning the power system controller parameters with emphasis on bio-inspiration algorithms

Provides some applied applications/examples of the thermal power system

Focusses on power system applications based on the optimization algorithms with different single area and multi-area thermal power systems

Reports different cases on the interconnected power systems with providing optimal performance by optimizing the controller’s parameters

Table of Contents

CHAPTER 1: Introduction

    1. Load Frequency control and Automatic Generation Control
    2. Bio-inspired Optimization Algorithms
    3. Literature Survey

CHAPTER 2: Load Frequency Control of Single Area Thermal Power System with Biogeography Based Optimization Technique

2.1 Investigated Thermal Power System

2.2 Controller Design and objective function

2.3 Biogeography Based Optimization technique

2.4 Results and Analysis

2.5 Conclusion

CHAPTER 3: Automatic Generation Control of Multi-Area Interconnected Thermal Power System with SMES Unit and ACO- PID Controller

3.1 Thermal power system under study

3.2 Superconducting Magnetic Energy Storage (SMES) unit

3.3 PID controller design

3.4 Ant Colony Optimization

3.5 Simulation Results and Discussions

3.6 Conclusion

CHAPTER 4: FPA Optimized PID Controller for Performance Improvement of Multi-Area Interconnected Thermal Power System with Non-Linearities

4.1 Investigated multi-area interconnected power system

4.2 Controller design and Objective function

4.3 Flower Pollination Algorithm (FPA)

4.4 Simulation Result and Analysis

4.5 Conclusion

CHAPTER 5: Challenges and future perspectives

About the Authors

K. Jagatheesan, PhD. is currently associated with Department of Electrical and Electronics Engineering, Paavai Engineering College, Namakkal, India. He received his B.E degree in electrical and electronics engineering in 2009 from Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India, and his M.E. degree in Applied Electronics in 2012 from Paavai College of Engineering, Namakkal, Tamil Nadu, India. He completed his Ph.D. degree in faculty of Information & Communication Engineering in 2017 from Anna University Chennai, India. His research interests include Optimization techniques, Advanced Control System, Electrical Machines and Power system modelling and control. He published more than 35 papers in National/International journals and conferences and more than 5 book chapters in reputed books. He is an Associate Member of UACEE, Member of SCIEI, IACSIT, IAENG, ISRD and Graduate Student Member of IEEE.

B. Anand, PhD. received his BE in Electrical and Electronics Engineering in 2001 from Government College of Engineering, Tirunelveli and ME in Power Systems Engineering from Annamalai University in 2002 and PhD in Electrical Engineering from Anna University, Chennai in 2011. Since 2003, he has been with the Department of Electrical and Electronics Engineering, Hindusthan College of Engineering and Technology, Coimbatore, Tamilnadu, India, where he is currently working as an Associate Professor. His research interests are comprises power system control, optimisation, and application of computational intelligence to power system problems and he has published more than 85 papers in national/international journals and conferences. He is an IEEE member, SSI and ISTE.

Nilanjan Dey, PhD. is currently associated with Department of Information Technology, TechnoIndia College of Technology, Kolkata, W.B., India. He holds an honorary position of Visiting Scientistat Global Biomedical Technologies Inc., CA, USA and Research Scientist of Laboratory of AppliedMathematical Modeling in Human Physiology, Territorial Organization of- Scientific and EngineeringUnions, BULGARIA. He is an Associate Researcher of Laboratoire RIADI, University of Manouba, TUNISIA. He is the Associated Member of Wearable Computing Research lab, University of Reading,London, UK.

His research topic is Medical Imaging, Soft computing, Data mining, Machine learning, Rough sets,Computer Aided Diagnosis, Atherosclerosis. He has 25 books and 300 international conferences andjournal papers. He is the Editor-in-Chief of International Journal of Ambient Computing andIntelligence (IGI Global), US (Scopus, ESCI, ACM dl and DBLP listed), International Journal of RoughSets and Data Analysis (IGI Global), US. Co-Editor-in-chief of International Journal of SyntheticEmotions (IJSE), IGI Global, US, and International Journal of Natural Computing Research (IGI Global), US. Series Editor of Advances in Geospatial Technologies (AGT) Book Series, (IGI Global), US, SeriesEditor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier. Executive Editor of International Journal of Image Mining (IJIM), Inderscience, and Associated Editor of IEEE Access journal and the International Journal of Service Science, Management, Engineeringand Technology, IGI Global. He is a life member of IE, UACEE, ISOC. He is associated with manyInternational Conferences as a Chair (ITITS 2017-China, WS4 2017-London, INDIA 2017-Vietnam etc.).

Amira S. Ashour, PhD. is an Assistant Professor and Head of Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. She received her Master degree in Electrical Engineering in 2001 and the Ph.D. in smart antenna in 2005 from the Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. She was the Vice Chair of Computer Science Department, Computers and Information Technology College, Taif University, KSA from 2009 till 2015. She was the Vice Chair of Computer Engineering Department, Computers and Information Technology College, Taif University, KSA for one year in 2015. Her research topics of interest include are smart antenna, direction of arrival estimation, targets tracking, image processing, medical imaging, machine learning, soft computing, and image analysis. She has 7 books and 105 international conferences and journal papers. Amira Ashour is an Editor-in-Chief for the International Journal of Synthetic Emotions (IJSE), IGI Global, US. She is Co-editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier (Book Series). She is an Associate Editor for the International Journal of Rough Sets and Data Analysis, IGI Global, US as well as the International Journal of Ambient Computing and Intelligence, IGI Global, US. She is an Editorial Board Member of the International Journal of Image Mining (IJIM), Inderscience.

About the Series

Intelligent Signal Processing and Data Analysis

In the current era of huge amount of data types and measurement in all sectors and applications, the same requires automated capturing, data analysis and evaluation methods. Consequently, sophisticated intelligent approaches become essential as flexible and powerful tools based on different signal processing algorithms for multiple applications. Intelligent signal processing (ISP) methods are progressively swapping the conventional analog signal processing techniques in several domains, such as speech analysis and processing, biomedical signal analysis radar and sonar signal processing, and processing, telecommunications, and geophysical signal processing. The main focus is this book series is to find out the new trends and techniques in the intelligent signal processing and data analysis leading to scientific breakthroughs in applied applications. Artificial fuzzy logic, deep learning, optimization algorithms, and neural networks are presented for signal processing applications. The series main emphasis is to offer both extensiveness diversity of selected intelligent signal processing and depth in the selected state-of-the-art data analysis techniques for solving real world problems.

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Subject Categories

BISAC Subject Codes/Headings:
MAT004000
MATHEMATICS / Arithmetic
TEC007000
TECHNOLOGY & ENGINEERING / Electrical
TEC031020
TECHNOLOGY & ENGINEERING / Power Resources / Electrical