Innovation in Power, Control, and Optimization: Emerging Energy Technologies

Innovation in Power, Control, and Optimization: Emerging Energy Technologies

Pandian Vasant (Universiti Teknologi PETRONAS, Malaysia), Nadar Barsoum (Curtin University, Malaysia) and Jeffrey Webb (Swinburne University of Technology, Malaysia)
Release Date: September, 2011|Copyright: © 2012 |Pages: 396
ISBN13: 9781613501382|ISBN10: 1613501382|EISBN13: 9781613501399|DOI: 10.4018/978-1-61350-138-2


Developing a system that can cope with variations of system or control parameters, measurement uncertainty, and complex, multi-objective optimization criteria is a frequent problem in engineering systems design. The need for a priori knowledge and the inability to learn from past experience make the design of robust, adaptive, and stable systems a difficult task.

Innovation in Power, Control, and Optimization: Emerging Energy Technologies unites research on the development of techniques and methodologies to improve the performance of power systems, energy planning and environments, controllers and robotics, operation research, and modern artificial computational intelligent techniques. Containing research on power engineering, control systems, and methods of optimization, this book is written for professionals who want to improve their understanding of strategic developments in the area of power, control, and optimization.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Electric Distribution Networks
  • Genetic Algorithms
  • Intelligent Operation and Emergency Control of Power Systems
  • Power Grid Analysis and Monitoring
  • Power System Stability
  • Renewable Energy
  • Smart Grid Techniques for Optimized Energy Use
  • Soft Computing and Computational Intelligence
  • Wind Farms

Reviews and Testimonials

This book [...] is a timely volume to be welcomed by the community focused on power control and optimization as well as computational intelligence community and beyond. This book is devoted to the studies of common and related subjects in intensive research fields of emerging technologies. For these reasons, I enthusiastically recommend this book to our scientists and engineers working in the above mentioned fields of research and applications.

– Ivan Zelinka, Czech Republic

I strongly recommend this book. It shows synergy of intelligent method usage in areas of power systems, energy planning and environments, controllers and robotics, operation research, and modern artificial computational intelligent techniques with lot of fresh non-standard solutions.

– Dr. Goran Klepac, Raiffeisenbank Austria Zagreb, Croatia

Table of Contents and List of Contributors

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Many engineering systems and science problems suffer from the issue of developing a system that can cope with variations of system or control parameters, measurements uncertainty, and complex multi-objective optimization criteria. The need for a priori knowledge and the inability to learn from past experience make the design of robust, adaptive, and stable systems a difficult task. Currently, research on energy resources is of great importance for future oil replacements, particularly in vehicles and other transportation. Computational intelligence has been proven to provide successful solution of complex optimization problems by fuzzy logic, neural networks, evolutionary algorithms, and genetic algorithms. They include system identification, parameter estimation, multi-objective optimization, robust solutions, adaptive systems, self-organization, and failure analysis.

This book aims to provide relevant theoretical frameworks and the latest empirical research findings in these areas. It is written for professionals who want to improve their understanding of the strategic role in the area of power, control, and optimization. Each book chapter is written by experts in their particular field of expertise.

Chapter 1 of this text describes coordinated intelligent operation and emergency control of electric power systems.

In Chapter 2 a Hopfield Lagrange network (HLN) is proposed for solving economic load dispatch (ELD) problem. HLN is a combination of Lagrangian function and continuous Hopfield neural network where the Lagrangian function is directly used as the energy function for the continuous Hopfield neural network.

The increased availability of reliable and efficient energy services that stimulates new development alternatives such as solar, wind, et cetera is discussed in Chapter 3. This chapter elaborates on the potential for such integrated systems in the stationary and portable power market in response to the critical need for a cleaner energy technology. Anticipated patterns of future energy use and consequent environmental impacts (acid precipitation, ozone depletion, and the greenhouse effect or global warming) are comprehensively discussed in this chapter.

Chapter 4 describes a dynamic smart Grid concept which enables electricity end-users to be acting on controlling, shifting, or curtailing own demand to avoid peak-demand conditions according to information received about electricity market conditions over the Internet.

The global warming and energy need requires developing emerging energy technologies for the electricity, heat, and transport markets are subject of discussion in Chapter 5. In this chapter are also discussed in great detail the emerging energy technologies that aim at increasing efficiency of energy utilization processes from energy sources and diminish CO2 exhalation. The main aim of the chapter is to exhaustively present soft computing and computational intelligent techniques in the evaluation of emerging energy technologies.

Chapter 6 presents an overview of key issues and technical challenges in a regional electric network, following the integration of a considerable amount of wind power. A brief survey on wind power system, the present status of wind energy worldwide, common dynamic models, and control loops for wind turbines is given.

Modified Lagrangian bounds and a greedy heuristic are proposed and discussed in Chapter 7 for many-to-many assignment problems taking into account capacity limits for tasks and agents. A feasible solution recovered by the heuristic shown to speed up the subgradient technique to solve the modified Lagrangian dual. A numerical study is presented to compare the quality of the bounds and to demonstrate the efficiency of the overall approach.

Energy projects with extended life cycles and initial investments can be unprofitable under discount cash flow methods. Therefore, real options analysis has become relevant as a pricing technique for these types of projects, with private risks and high investment levels. Following this question, the work presented in Chapter 8 analyses different real options approaches to select the most acceptable for investing decisions in the energy sector.

Power loss reduction is considered as one of the main purposes for a distribution system’s designers and operators especially for recent non-governmental networks. Moreover, the nature of power loss challenges different methods to solve this problem, while various studies indicate effectiveness of reconfiguration and its high portion for this case. Thus, “reconfiguration” can be introduced as an optimization procedure to obtain economical high quality operation by changing the status of sectionalizing switches in these networks. Some major points, such as using different switch types, considering number of switching, and time varying loads which are almost neglected or not applied simultaneously in most pervious essays are discussed in Chapter 9.

In Chapter 10, the power system is considered as a continuum, and the propagated electromechanical waves initiated by faults and other random events are studied to provide a new scheme for stability investigation of a large dimensional system. For this purpose, the measured electrical indices (such as rotor angle and bus voltage) following a fault in different points among the network are used, and the behavior of the propagated waves through the lines, nodes, and buses is analyzed. The impact of weak transmission links on a progressive electromechanical wave using energy function concept is addressed.

In Chapter 11 a solution is proposed to a certain nonlinear programming difficulties related to the presence of uncertain technological coefficients represented by vague numbers. Only vague numbers with modified s-curve membership functions are considered. The proposed methodology consists of novel genetic algorithms and a hybrid genetic algorithm pattern search (Vasant, 2008) for nonlinear programming for solving problems that arise in industrial production planning in uncertain environments. Real life application examples in production planning and their numerical solutions are analyzed in detail. The new method suggested has produced good results in finding globally near-optimal solutions for the objective function under consideration.

Finally, in Chapter 12, analyses and monitoring of the power grid in Pakistan is presented.

The editors of this text want to thank all the contributors to this text for their time, energy and invaluable expertise that we believe will make this book a success and extremely valuable resource in the area of power management, control and optimization of engineering problems.

Dragica Vasileska
Arizona State University

Pandian Vasant, Nadar Barsoum, and Jeffrey Webb

Author(s)/Editor(s) Biography

Dr. Pandian Vasant is a senior lecturer at Department of Fundamental and Applied Sciences, Faculty of Science and Information technology, Universiti Teknologi PETRONAS in Malaysia. He holds PhD in Computational Intelligence, MSc (Engineering Mathematics) and BSc (Hons) in Mathematics. His research interests include Soft Computing, Hybrid Optimization, Holistic Optimization, innovative computing and Applications. He has co-authored research papers and articles in national journals, international journals, conference proceedings, conference paper presentation, and special issues lead guest editor, lead guest editor for book chapters’ project, conference abstracts, edited books , keynote lecture and book chapters (150 publications indexed in SCOPUS). In the year 2009, Dr. Pandian Vasant was awarded top reviewer for the journal Applied Soft Computing (Elsevier) and awarded outstanding reviewer in the year 2015 for ASOCO (Elsevier) journal. He has 25 years of working experience at the various universities from 1989-2016. Currently he is Editor-in-Chief of IJCO, IJSIEC, IEM, IJEOE and Editor of GJTO. H-Index SCOPUS Citations = 33, H-Index Google Scholar = 22.
Nader Barsoum obtained his PhD from University of Newcastle upon Tyne, UK, 1989 in Eclectic Machines and Drives, and his first three degrees from Alexandria University, Egypt in Power Engineering 1976, Applied Mathematics 1979 and Engineering Mathematics 1983. He has academically jointed University Sains Malaysia, University Malaysia Sabah, University of Western Sydney, and Curtin University of Technology in the past 20 years. He obtained School Research and Developments Excellence Award 2010, Highest Research Performance Incentive Award 2010, Best Researcher Award 2009, ANAK Sarawak Award 2009, and University Encouragement Award 1992. He completed several funded projects such as: Implementation of an Optimal Energy Saving System with solar tracker 2010, Development of Smart Drive Build in AC Motors for Optimal Operations 2010, Investigation of Electrical Properties of Palm Oil Using Kerr-effect Technique 2009, Hardware design of body sensor device 2008, Low cost hydrogen fuel cell for hybrid renewable energy system 2006, and Simulation of Micro-Controller for Induction Motor Drive 1995. Besides supervising many Master and PhD degrees, he selected several times as an external examiner and published over 86 papers in both international scientific journals and conferences. He is the President of Malaysian Solar Energy Society since 2010, Editor In Chief of the Global Journal Of Technology and Optimization since 2010, General Chairman of an Annual Global Conference on Power Control and Optimization since 2008, and Guest Editor of the International Journal Of Computers & Mathematics With Applications.
J. F. Webb has a Ph.D. degree in photothermal physics from Strathclyde University, Scotland, U.K. He is now an Associate Professor in the School of Engineering, Computing and Science, Swinburne University of Technology, Sarawak (Malaysia). His research experience is in the areas of optics, electromagnetic waves, ferroelectric materials, and nanoelectronics.


Editorial Board

  • Milorad Bojic, University of Kragujevac, Serbia
  • Gianfranco Rizzo, University of Salerno, Italy
  • Janos Sebestyen Janosy, KFKI Atomic Energy Research Institute, Hungary
  • Ivan Zelinka, Thomas Bata University in Zlin, Czech Republic
  • Davor Skrlec, University of Zagreb, Croatia
  • Nikolai I. Voropai, Energy Systems Institute, Russia
  • Monica Chis, Siemens Program and System Engineering, Romania
  • Cengiz Kahraman, Istanbul Technical University, Turkey
  • Valentina E. Balas, “Aurel Vlaicu” University of Arad, Romania
  • Arturo Suman Bretas, Universidade Federal do Rio Grande do Sul, Brazil
  • Etienne Kerre, Ghent University, Belgium
  • Radu Emil Precup, "Politehnica" University of Timisoara, Romania
  • Gerardo Maximiliano Mendez, Instituto Tecnologico de Nuevo Leon, Mexico