This book includes original research papers related to renewable energy and power systems in which theoretical or practical issues of symmetry are considered. The book includes contributions on voltage stability analysis in DC networks, optimal dispatch of islanded microgrid systems, reactive power compensation, direct power compensation, optimal location and sizing of photovoltaic sources in DC networks, layout of parabolic trough solar collectors, topologic analysis of high-voltage transmission grids, geometric algebra and power systems, filter design for harmonic current compensation. The contributions included in this book describe the state of the art in this field and shed light on the possibilities that the study of symmetry has in power grids and renewable energy systems.

A comprehensive review of the development, challenges and utilisation of magnetic field measurement Magnetic Field Measurement with Applications to Modern Power Grids offers an authoritative review of the development of magnetic field measurement and the application of the technology to the smart grid. The authors, noted experts in the field, present the challenges to the field of magnetics and explore the use of cutting-edge magnetic technology in the development of the smart grid. In addition, the authors discussed the applications of magnetic field measurements in substations, generations systems, transmission systems and distribution systems. The specialized applications of magnetic field measurements in these venues are explored including the typical sensors used, the field strength levels and spectral frequencies involved and the mathematics that are needed to process data measurements. The book presents the complex topic of electromagnetics in clear and understandable terms. Magnetic Field Measurement with Applications to Modern Power Grids offers researchers in the magnetic community a guide to the progress of the smart grid and helps to inspire innovation of magnetic technologies in the smart grid. The technologies of measurement are a bridge between mathematical models and application oriented practice. The book is a guide to that bridge and: Offers a comprehensive review of the development of magnetic field measurement Shows how magnetic field measurement applies to the smart grid Outlines the challenges, trends and needs for future magnetic measurement systems Includes information on the need for levels of standardisation, smart grid applications and innovative sensors Written for researchers in smart grid, power engineers, power grid companies and professionals in the measurement and test industries, Magnetic Field Measurement with Applications to Modern Power Grids is an authoritative guide that offers a clear understanding of the relationship between the magnetic field measurement and power grids.

Power System Flexibility provides a consolidated foundation in the design, planning, and operation of intermittent highly renewable power systems—integrating core theory, mathematical analysis, and modern international applications in an unusually multidisciplinary approach. Opening with an expansive theoretical grounding in the definition, analysis, and modeling of power systems, the book demonstrates how to apply flexibility theory to critical problems involving intermittency and variability in power system planning and operation. The guide concludes with an international complement of case studies, demonstrating how flexibility theory has been applied to real-world projects of increasing complexity. - Integrates underlying scientific foundations with modern methods in the planning and operation of flexible power systems - Demonstrates how to design, plan, operationalize, and optimize flexible solutions across the full range of power generation, electrical grids, energy demand, and energy storage applications - Includes an international complement of real-world case studies focusing on delivering flexibility in highly renewable electricity systems

This text is an introduction to the use of control in distributed power generation. It shows the reader how reliable control can be achieved so as to realize the potential of small networks of diverse energy sources, either singly or in coordination, for meeting concerns of energy cost, energy security and environmental protection. The book demonstrates how such microgrids, interconnecting groups of generating units and loads within a local area, can be an effective means of balancing electrical supply and demand. It takes advantage of the ability to connect and disconnect microgrids from the main body of the power grid to give flexibility in response to special events, planned or unplanned. In order to capture the main opportunities for expanding the power grid and to present the plethora of associated open problems in control theory Control and Optimization of Distributed Generation Systems is organized to treat three key themes, namely: system architecture and integration; modelling and analysis; and communications and control. Each chapter makes use of examples and simulations and appropriate problems to help the reader study. Tools helpful to the reader in accessing the mathematical analysis presented within the main body of the book are given in an appendix. Control and Optimization of Distributed Generation Systems will enable readers new to the field of distributed power generation and networked control, whether experienced academic migrating from another field or graduate student beginning a research career, to familiarize themselves with the important points of the control and regulation of microgrids. It will also be useful for practising power engineers wishing to keep abreast of changes in power grids necessitated by the diversification of generating methods.

This book gathers the proceedings of the fifteenth International Conference on Management Science and Engineering Management (ICMSEM 2021) held on August 1-4, 2021, at the University of Castilla-La Mancha (UCLM), Toledo, Spain. The proceedings contains theoretical and practical research of decision support systems, complex systems, empirical studies, sustainable development, project management, and operation optimization, showing advanced management concepts and demonstrates substantial interdisciplinary developments in MSEM methods and practical applications. It allows researchers and practitioners in management science and engineering management (MSEM) to share their latest insights and contribution. Meanwhile, it appeals to readers interested in these areas, especially those looking for new ideas and research directions.

This book discusses the current research and concepts in data science and how these can be addressed using different nature-inspired optimization techniques. Focusing on various data science problems, including classification, clustering, forecasting, and deep learning, it explores how researchers are using nature-inspired optimization techniques to find solutions to these problems in domains such as disease analysis and health care, object recognition, vehicular ad-hoc networking, high-dimensional data analysis, gene expression analysis, microgrids, and deep learning. As such it provides insights and inspiration for researchers to wanting to employ nature-inspired optimization techniques in their own endeavors.