Call for Book Chapters

Photovoltaic Systems

Solar Photovoltaic Power Plants: Advanced Control and Optimization Techniques

Introduction

As a kind of clean power source, photovoltaic systems have gained a prodigious popularity in power industry. There has been a significant progress in the development of solar Photovoltaic (PV) modules. However, photovoltaic systems suffer from three main concerns: low conversion efficiency particularly during high weather variations, high fabrication cost and the nonlinearity between the PV array output power and current. To overcome these problems, different power electronic converters have been introduced by many manufacturers in the market for processing the electric power generated by PV systems. The scientific literature dealing PV applications has been highly populated in the past decade. Various modelling, optimization and control approaches for PV systems have been appeared in hundreds of papers, conference proceedings as well as in many textbooks. However, many authors used classical control techniques, based on linearized models and purely continuous (or discrete) models inadequate. The utilization of more efficient control and optimization strategies would not only enhance the performance of the PV systems, but would also decrease the cost per kilowatt-hour generated. This book is devoted to control and optimization techniques in the broadest sense, covering new theoretical results and the applications of new developed methods to PV systems. The main goal of this book is to encourage both researchers and practitioners to share and exchange their recent advanced studies related to PV systems.

Target Audience

This book will attract graduate students, researchers, academicians, and professionals that are interested in exploring and implementing advanced optimization and control techniques related to PV systems.

Recommended Topics

For the book chapters, we seek original work that has not been published or considered for publication of topics such as, but not limited to:

Type-I and Type-II fuzzy control

Fuzzy sliding control

Fuzzy coupled hopfield neural network

Adaptive fuzzy sliding control

Double-integral sliding-mode control

Second-order sliding-mode control

Direct and indirect adaptive neuro-fuzzy control

Adaptive hybrid methods

Model predictive neuro-fuzzy control

Partial feedback linearization approach

Neuro-fuzzy based feedback linearization control

Adaptive backstepping control

Adaptive backstepping sliding mode control

Swarm optimization (particle swarm optimization, ant colony optimization) based neuro-fuzzy control

Optimization via extremum seeking control

Genetic algorithms optimized fuzzy logic control

Optimization using Newton–Raphson

Bacterial foraging optimization method

Simulated annealing

Linear programming

Hybrid optimization methods

Game theory

Other (Any modified and an improved optimization method and/or control dealing PV)

Foundations and ideas book chapter is also welcome covering the above topics.

Submission Procedure

Researchers and practitioners are invited to submit on or March 12, 2018, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns incl. methodology of his or her proposed chapter. There is no template for the proposals. However, they should clearly describe the topic of the chapter, and list the tentative sections alongside a rough estimate of their lengths. We strongly recommend that all chapter authors (corresponding authors, co-authors, contributing authors) include their affiliation and email address in their manuscript. Their email addresses (also published in the chapters) will be used by Springer to provide authors with a personal MySpringer account where they can download a free copy of the eBook.

Authors will be notified on or before March 31, 2018 about the status of their proposals. Full chapters are expected to be submitted by May 31, 2018. Notification of full chapter acceptance is expected on or before June 15, 2018. Manuscript guidelines can be found in the link. Power systems book series follow the Reference Style Basic, Citation Style Numbered and Numbering Style ContentOnly. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. This publication is anticipated to be released in 2018. In addition, you must obtain permission from the previous publisher for any copyrighted material you want to reuse. Copyrighted material can include figures, charts, tables, illustrations, photographs, and text excerpts. Consent-to-publish and permission request forms can be found here. You need to submit your proposal using easychair (Click Here).

Note: There are NO submission or acceptance fees for manuscripts submitted to this book publication. All manuscripts are accepted based on a double-blind peer review editorial process. Authors of accepted chapters will get a free e-book after publication.

Publisher

Springer Science + Business Media or Springer, Berlin, Germany, part of Springer Nature since 2015, is a global publishing company that publishes books, e-books and peer-reviewed journals in science, technical and medical publishing. For additional information regarding the publisher, please visit http://www.springer.com/gp/.

Editors

Prof. Dr.Ing. Dipl.Math. Radu-Emil Precup

Senior Member, IEEE

Politehnica University of Timisoara

Faculty of Automation and Computers, Department of Automation and Applied Informatics

Bd. V. Parvan 2, 300223 Timisoara, Romania

Email: radu.precup@aut.upt.ro


Tariq Kamal

University of Queensland, Brisbane, QLD 4072, Australia.

Sakarya University, Turkey.

Email: tariq.kamal.pk@ieee.org

Syed Zulqadar Hassan

Chongqing University, China

Email: zulqadar@cqu.edu.cn


Wind System

Advanced Control and Optimization Paradigms for Wind Energy Systems

Introduction

The rapid growth of control and optimization paradigms have a high influence on all areas of the control discipline. New controllers, new computational approaches, new applications, new algorithms…, new obstacles. Much of such advanced work published in hundreds of papers, industrial reports as well as in many textbooks. The book provides an opportunity for researchers, academicians, and professionals to present an extended version of such new work in all aspects of optimization and control for wind energy systems. Wind energy has received a substantial attention worldwide as a cost-effective, pollution free to energy storage, and it is currently the fastest-growing (about 30% annually) energy source in the world as compared to other renewable energy sources. However, the main concern regarding wind energy systems is the major difference between the highly intermittent nature of the primary source (wind speed) and the desired demands concerning the electrical energy quality and system stability. Therefore, wind energy conversion within the standard parameters imposed by the energy market and power industry is unachievable without the essential involvement of optimization and control.

Objective

The main aim of this book is to encourage both researchers and practitioners to share and exchange their recent advanced studies such as, conversion efficiency, mechanical reliability, quality of power related to wind energy systems.

Target Audience

This book will attract graduate students, researchers, academicians, and professionals that are interested in exploring and implementing advanced optimization and control techniques related to wind energy systems.

Recommended Topics

For the book chapters, we seek original work that has not been published or considered for publication of topics such as, but not limited to:

Advanced fuzzy control

Fuzzy sliding control

Fuzzy coupled hopfield neural network

Adaptive fuzzy sliding control

Double-integral sliding-mode control

Second-order sliding-mode control

Direct and indirect adaptive neuro-fuzzy control

Adaptive hybrid methods

Model predictive neuro-fuzzy control

Partial feedback linearization approach

Neuro-fuzzy based feedback linearization control

Adaptive backstepping control

Adaptive backstepping sliding mode control

Robust control

Swarm optimization (particle swarm optimization, ant colony optimization) based neuro-fuzzy control

Optimization via extremum seeking control

Genetic algorithms optimized fuzzy logic control

Optimization using Newton–Raphson

Bacterial foraging optimization method

Simulated annealing

Linear programming

Hybrid optimization methods

Game theory

Other (Any modified and an improved optimization method and/or control dealing Wind System)

Note: Foundations and ideas book chapter is also welcome covering the above topics.

Submission Procedure

Researchers and practitioners are invited to submit on or March 12, 2018, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns incl. methodology of his or her proposed chapter. There is no template for the proposals. However, they should clearly describe the topic of the chapter, and list the tentative sections alongside a rough estimate of their lengths. We strongly recommend that all chapter authors (corresponding authors, co-authors, contributing authors) include their affiliation and email address in their manuscript. Their email addresses (also published in the chapters) will be used by Springer to provide authors with a personal MySpringer account where they can download a free copy of the eBook.

Authors will be notified on or before March 31, 2018 about the status of their proposals. Full chapters are expected to be submitted by May 31, 2018. Notification of full chapter acceptance is expected on or before June 15, 2018. Manuscript guidelines can be found in the link. Power systems book series follow the Reference Style Basic, Citation Style Numbered and Numbering Style ContentOnly. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. This publication is anticipated to be released in 2018. In addition, you must obtain permission from the previous publisher for any copyrighted material you want to reuse. Copyrighted material can include figures, charts, tables, illustrations, photographs, and text excerpts. Consent-to-publish and permission request forms can be found here. You need to submit your proposal using easychair (Click Here).

Note: There are NO submission or acceptance fees for manuscripts submitted to this book publication. All manuscripts are accepted based on a double-blind peer review editorial process. Authors of accepted chapters will get a free e-book after publication.

Publisher

Springer Science + Business Media or Springer, Berlin, Germany, part of Springer Nature since 2015, is a global publishing company that publishes books, e-books and peer-reviewed journals in science, technical and medical publishing. For additional information regarding the publisher, please visit http://www.springer.com/gp/.

Editors

Prof. Dr.Ing. Dipl.Math. Radu-Emil Precup

Senior Member, IEEE

Politehnica University of Timisoara

Faculty of Automation and Computers, Department of Automation and Applied Informatics

Bd. V. Parvan 2, 300223 Timisoara, Romania

Email: radu.precup@aut.upt.ro


Tariq Kamal

University of Queensland, Brisbane, QLD 4072, Australia.

Sakarya University, Turkey.

Email: tariq.kamal.pk@ieee.org

Syed Zulqadar Hassan

Chongqing University, China

Email: zulqadar@cqu.edu.cn