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Intelligent Electrical Protection in Traditional Networks and Smart Grids
The main objective of this book is to enlighten readers on the automatic protection, control, and monitoring of power systems. The focus is on the development of intelligent protective algorithms to combat ferroresonance and Sub-Synchronous Resonance (SSR) in both traditional networks and smart grids. Initially, the book covers the theoretical aspects of ferroresonance, SSR, and protective relays. It then discusses the occurrence of ferroresonance and SSR in the grid, and the impact of these phenomena on the operation of electrical components and a variety of protective relays. Intelligent algorithms are designed and tested for various types of protective relays. The book also introduces a power automation system known as the Universal Protection, Control, and Power Energy Management Centre (UPCPEMC). This SCADA-based centre includes hardware components and new software for simulation, analysis, protection, control, and power system component design. Additionally, it includes power and energy management programs that are suitable for use in both traditional networks and smart grids.
Signal Analysis in Power Systems
The analysis of power systems under various conditions represents one of the most important and complex tasks in electrical power engineering. Studies in this area are necessary to ensure that the reliability, efficiency, and stability of the power system is not adversely affected. This issue is devoted to reviews and applications of modern methods of signal processing used to analyze the operation of a power system and evaluate the performance of the system in all aspects. Smart grids as an emerging research field of the current decade is the focus of this issue. Monitoring capability with data integration, advanced analysis of support system control, enhanced power security and effective communication to meet the power demand, efficient energy consumption and minimum costs, and intelligent interaction between power-generating and -consuming devices depends on the selection and implementation of advanced signal analysis and processing techniques.
Advanced Approaches, Business Models, and Novel Techniques for Management and Control of Smart Grids
The current power system should be renovated to fulfill social and industrial requests and economic advances. Hence, providing economic, green, and sustainable energy are key goals of advanced societies. In order to meet these goals, recent features of smart grid technologies need to have the potential to improve reliability, flexibility, efficiency, and resiliency. This book aims to address the mentioned challenges by introducing advanced approaches, business models, and novel techniques for the management and control of future smart grids.
Technological Innovation for Industry and Service Systems
This book constitutes the refereed proceedings of the 10th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019, held in Costa de Caparica, Portugal, in May 2019. The 36 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for industry and serivce systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative systems, collaboration and resilient systems, decision and optimization systems, assistive systems, smart environments, smart manufacturing, water monitoring systems, communication systems, and energy systems.
IoT and Analytics in Renewable Energy Systems (Volume 1)
Smart grid technologies include sensing and measurement technologies, advanced components aided with communications and control methods along with improved interfaces and decision support systems. Smart grid techniques support the extensive inclusion of clean renewable generation in power systems. Smart grid use also promotes energy saving in power systems. Cyber security objectives for the smart grid are availability, integrity and confidentiality. Five salient features of this book are as follows: AI and IoT in improving resilience of smart energy infrastructure IoT, smart grids and renewable energy: an economic approach AI and ML towards sustainable solar energy Electrical vehicles and smart grid Intelligent condition monitoring for solar and wind energy systems
Technological Innovation for Resilient Systems
This book constitutes the refereed proceedings of the 9th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2018, held in Costa de Caparica, Portugal, in May 2018. The 30 revised full papers presented were carefully reviewed and selected from 74 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for resilient systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative systems, decision support systems, supervision systems, energy management, smart grids, sensing systems, electrical systems, simulation and analysis, monitoring systems, and energy distribution systems.
GeoVadis
This book contains a prolific compilation of research on geotechnical engineering presented at the First Geotech Asia International Conference (GAIC 2025). The papers reflect dynamic engagement of researchers, engineers, and professionals from all over Asia to offer insights into ongoing developments and applied problem-solving. This publication brings together contributions across 19 technical themes, including cold region geotechnics, deep excavations, earthquake engineering, foundation systems, and underground construction. It also delves into artificial intelligence and machine learning applications, environmental and transportation geotechnics, site characterisation, slope stability, embankments and dams, and ground improvement techniques. It is intended for academics, practising engineers, consultants, contractors, industry professionals, government authorities, and students involved in geotechnical research, education, and design and implementation. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.
Advanced Signal Processing Techniques Applied to Power Systems Control and Analysis
The work published in this book is related to the application of advanced signal processing in smart grids, including power quality, data management, stability and economic management in presence of renewable energy sources, energy storage systems, and electric vehicles. The distinct architecture of smart grids has prompted investigations into the use of advanced algorithms combined with signal processing methods to provide optimal results. The presented applications are focused on data management with cloud computing, power quality assessment, photovoltaic power plant control, and electrical vehicle charge stations, all supported by modern AI-based optimization methods.
