Intelligent Control and Smart Energy Management

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Publisher : Springer Nature
ISBN 13 : 3030844749
Total Pages : 434 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Intelligent Control and Smart Energy Management by : Maude Josée Blondin

Download or read book Intelligent Control and Smart Energy Management written by Maude Josée Blondin and published by Springer Nature. This book was released on 2022-05-28 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.

Urban DC Microgrid

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Publisher : Butterworth-Heinemann
ISBN 13 : 0128037873
Total Pages : 306 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Urban DC Microgrid by : Manuela Sechilariu

Download or read book Urban DC Microgrid written by Manuela Sechilariu and published by Butterworth-Heinemann. This book was released on 2016-05-10 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Urban DC Microgrid: Intelligent Control and Power Flow Optimization focuses on microgrids for urban areas, particularly associated with building-integrated photovoltaic and renewable sources. This book describes the most important problems of DC microgrid application, with grid-connected and off-grid operating modes, aiming to supply DC building distribution networks. The book considers direct current (DC) microgrid to supply DC building distribution networks for positive energy buildings; dynamic interactions with the utility grid based on communication with the smart grid; supervisory control systems; and energy management. The global power system is exposed and the DC microgrid system is presented and analyzed with results and discussion, highlighting both the advantages and limitations of the concept. Coverage at the system level of microgrid control as well as the various technical aspects of the power system components make this a book interesting to academic researchers, industrial energy researchers, electrical power and power system professionals. Provides a strong overview of microgrid modelling Describes the most important problems of DC microgrid application, with grid-connected and off-grid operating modes, aiming to supply DC building distribution networks Offers experimental problem examples and results Includes supervisory control and energy management

Intelligent Control in Energy Systems

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Publisher : MDPI
ISBN 13 : 3039214152
Total Pages : 508 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Intelligent Control in Energy Systems by : Anastasios Dounis

Download or read book Intelligent Control in Energy Systems written by Anastasios Dounis and published by MDPI. This book was released on 2019-08-26 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust μ-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Advanced Technology for Smart Environment and Energy

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Publisher : Springer Nature
ISBN 13 : 303125662X
Total Pages : 314 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advanced Technology for Smart Environment and Energy by : Jamal Mabrouki

Download or read book Advanced Technology for Smart Environment and Energy written by Jamal Mabrouki and published by Springer Nature. This book was released on 2023-03-25 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents smart energy management in the context of energy transition. It presents the motivation, impacts and challenges related to this hot topic. Then, it focuses on the use of techniques and tools based on artificial intelligence (AI) to solve the challenges related to this problem. A global diagram presenting the general principle of these techniques is presented. Then, these techniques are compared according to a set of criteria in order to show their advantages and disadvantages with respect to the conditions and constraints of intelligent energy management applications in the context of energy transition. Several examples are used throughout the white paper to illustrate the concepts and methods presented. An intelligent electrical network (smart grid—SG) includes heterogeneous and distributed electricity production, transmission, distribution and consumption components. It is the next generation of electricity network able to manage electricity demand (consumption/production/distribution) in a sustainable, reliable and economical way taking into account the penetration of renewable energies (solar, wind, etc.). Therefore, a (SG) smart grid also includes an intelligent layer that analyzes the data provided by consumers as well as that collected from the production side in order to optimize consumption and production according to weather conditions, the profile and habits of the consumer. In addition, this system can improve the use of green energy through renewable energy penetration and demand response.

Smart Energy and Electric Power Systems

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Publisher : Elsevier
ISBN 13 : 0323916856
Total Pages : 227 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Smart Energy and Electric Power Systems by : Sanjeevikumar Padmanaban

Download or read book Smart Energy and Electric Power Systems written by Sanjeevikumar Padmanaban and published by Elsevier. This book was released on 2022-09-17 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector. Helps improve the prediction capability of AI algorithms to make evidence-based decisions in the smart supply of electricity, including load shedding Focuses on how to integrate AI and ML into the energy sector in the real-world, with many chapters accompanied by case studies Addresses a number of proven AI and ML- informed techniques in rebalancing supply and demand

Intelligent Control in Energy Systems

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Publisher :
ISBN 13 : 9783039214167
Total Pages : 1 pages
Book Rating : 4.2/5 (141 download)

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Book Synopsis Intelligent Control in Energy Systems by : Anastasios Dounis

Download or read book Intelligent Control in Energy Systems written by Anastasios Dounis and published by . This book was released on 2019 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

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Publisher : CRC Press
ISBN 13 : 1000963977
Total Pages : 250 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applications of Big Data and Artificial Intelligence in Smart Energy Systems by : Neelu Nagpal

Download or read book Applications of Big Data and Artificial Intelligence in Smart Energy Systems written by Neelu Nagpal and published by CRC Press. This book was released on 2023-11-23 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, and domestic & industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution automation, energy regulation and control, and energy trading. This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies such as the Internet of Things, blockchain, etc. for smart home solutions, and smart city solutions in depth in the context of the modern power systems. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI business models.

Intelligent Renewable Energy Systems

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Publisher : Springer
ISBN 13 : 3319391569
Total Pages : 542 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Intelligent Renewable Energy Systems by : Gerasimos Rigatos

Download or read book Intelligent Renewable Energy Systems written by Gerasimos Rigatos and published by Springer. This book was released on 2016-08-06 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focused on renewable energy systems and the development of information and communication technologies (ICTs) for their integration in smart grids, this book presents recent advances and methods that help to ensure that power generation from renewable sources remains stable, that power losses are minimized, and that the reliable functioning of these power generation units is maintained. The book highlights key topics and technologies for renewable energy systems including the intelligent control of power generators, power electronics that connect renewable power generation units to the grid, and fault diagnosis for power generators and power electronics. In particular, the following topics are addressed: • Modeling and control of power generators (PMSGs, DFIGs); • Modeling and control of power electronics (converters, inverters); • Modeling and fault diagnosis of the transmission and distribution Grid; and • Modelling and control of distributed power generation units (interconnected synchronous generators or photovoltaic units). Because of the above coverage, members of the wider engineering community will find that the nonlinear control and estimation methods presented provide essential insights into the functioning of renewable energy power systems, while the academic community will find the book a valuable textbook for undergraduate or graduate courses on renewable energy systems.

Applications of Big Data and Artificial Intelligence in Smart Energy Systems

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Publisher : CRC Press
ISBN 13 : 1000963829
Total Pages : 318 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Applications of Big Data and Artificial Intelligence in Smart Energy Systems by : Neelu Nagpal

Download or read book Applications of Big Data and Artificial Intelligence in Smart Energy Systems written by Neelu Nagpal and published by CRC Press. This book was released on 2023-09-29 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of propelling traditional energy systems to evolve towards smart energy systems, including power generation, energy storage systems, and electricity consumption have become more dynamic. The quality and reliability of power supply are impacted by the sporadic and rising use of electric vehicles, domestic loads, and industrial loads. Similarly, with the integration of solid state devices, renewable sources, and distributed generation, power generation processes are evolving in a variety of ways. Several cutting-edge technologies are necessary for the safe and secure operation of power systems in such a dynamic setting, including load distribution, automation, energy regulation & control, and energy trading. This book covers the applications of various big data analytics,artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management. The book delves into the new technologies for modern power systems such as the Internet of Things, Blockchain for smart home and smart city solutions in depth. Technical topics discussed in the book include: • Hybrid smart energy system technologies • Smart meters • Energy demand forecasting • Use of different protocols and communication in smart energy systems • Power quality and allied issues and mitigation using AI • Intelligent transportation • Virtual power plants • AI based smart energy business models • Smart home solutions • Blockchain solutions for smart grids.

Control of Smart Buildings

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Publisher : Springer Nature
ISBN 13 : 9811903751
Total Pages : 277 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Control of Smart Buildings by : Anuradha Tomar

Download or read book Control of Smart Buildings written by Anuradha Tomar and published by Springer Nature. This book was released on 2022-05-09 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of how efficient building energy management can be done, considering the increasing importance of renewable energy integration. It also includes the grid-interactive building, their control, energy management, and optimization techniques to promote better understanding among researchers and business professionals in the utility sector and across industries. This book is written and edited by leading specialists active in concurrent developments in smart building management, renewable energy research, and application-driven R&D. The experiences and research work shared help the readers in enhancing their knowledge in the field of renewable energy, power engineering, building energy management, demand, and supply management and learn the technical analysis of the same in an insightful manner. Additionally, established and emerging applications related to applied areas like smart cities, the Internet of things, machine learning, artificial intelligence, etc., are developed and utilized to demonstrate recent innovations in smart building energy management.

Smart Microgrid Control

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Publisher : Gerro Prinsloo
ISBN 13 : 0620686650
Total Pages : 120 pages
Book Rating : 4.6/5 (26 download)

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Book Synopsis Smart Microgrid Control by : Gerro J Prinsloo

Download or read book Smart Microgrid Control written by Gerro J Prinsloo and published by Gerro Prinsloo. This book was released on 2016-01-12 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: In a smart microgrid context, transactive energy is one of the more exciting developments in energy management. The concept of Transactive Energy Management (TEM) was introduced by the GridWise Architecture Council (GWAC) and has become a very important ingredient in modern smart microgrid control. Transactive control (TC) generally includes economic intelligence that use pricing signals to coordinate devices throughout the microgrid system on an economic bargaining or price bargaining principles. In this way, the smart microgrid controller can actually make decisions on energy generation and energy consumption based on time-varying pricing signals. Transactive smart microgrid Control (TsmC) use mathematical algorithms than can respond to dynamic pricing and microgrid energy demand, creating a type of interactive bargaining platform for energy users and appliances to bargain for energy purchases and usage within the microgrid. It can be viewed as a two-way transaction system in which energy can be generated, supplied and directed to where energy required. This book takes an in depth look at intelligent and smart control in a microgrid context. It deals with topics such as stochastic microgrid modelling and control optimization, smart microgrid and supply side modelling, smart microgrid demand side management and control optimization in both autonomous or islanded smart microgrids as well as grid connected microgrids.

Smart Energy Management for Smart Grids

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Publisher : MDPI
ISBN 13 : 3039281429
Total Pages : 350 pages
Book Rating : 4.0/5 (392 download)

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Book Synopsis Smart Energy Management for Smart Grids by : Khmaies Ouahada

Download or read book Smart Energy Management for Smart Grids written by Khmaies Ouahada and published by MDPI. This book was released on 2020-03-16 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a contribution from the authors, to share solutions for a better and sustainable power grid. Renewable energy, smart grid security and smart energy management are the main topics discussed in this book.

Artificial Intelligence-Based Energy Management Systems for Smart Microgrids

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Publisher : CRC Press
ISBN 13 : 1000589250
Total Pages : 350 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Artificial Intelligence-Based Energy Management Systems for Smart Microgrids by : Baseem Khan

Download or read book Artificial Intelligence-Based Energy Management Systems for Smart Microgrids written by Baseem Khan and published by CRC Press. This book was released on 2022-06-07 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modeling and optimization of energy management systems for micro- and mini-grids play an important role in the fields of energy generation dispatch, system operation, protection coordination, power quality issues, and peak demand conflict with grid security. This comprehensive reference text provides an in-depth insight into these topics. This text discusses the use of meta-heuristic and artificial intelligence algorithms for developing energy management systems with energy use prediction for mini- and microgrid systems. It covers important concepts including modeling of microgrid and energy management systems, optimal protection coordination-based microgrid energy management, optimal energy dispatch with energy management systems, and peak demand management with energy management systems. Key Features: Presents a comprehensive discussion of mini- and microgrid concepts Discusses AC and DC microgrid modeling in detail Covers optimization of mini- and microgrid systems using AI and meta-heuristic techniques Provides MATLAB®-based simulations on a mini- and microgrid Comprehensively discussing concepts of microgrids with the help of software-based simulations, this text will be useful as a reference text for graduate students and professionals in the fields of electrical engineering, electronics and communication engineering, renewable energy, and clean technology.

Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid

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Publisher : Springer
ISBN 13 : 9811042500
Total Pages : 140 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid by : Ran Wang

Download or read book Intelligent Microgrid Management and EV Control Under Uncertainties in Smart Grid written by Ran Wang and published by Springer. This book was released on 2017-11-20 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, discusses the latest research on the intelligent control of two important components in smart grids, namely microgrids (MGs) and electric vehicles (EVs). It focuses on developing theoretical frameworks and proposing corresponding algorithms, to optimally schedule virtualized elements under different uncertainties so that the total cost of operating the microgrid or the EV charging system can be minimized and the systems maintain stabilized. With random factors in the problem formulation and corresponding designed algorithms, it provides insights into how to handle uncertainties and develop rational strategies in the operation of smart grid systems. Written by leading experts, it is a valuable resource for researchers, scientists and engineers in the field of intelligent management of future power grids.

Smart Energy Grid Engineering

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Publisher : Academic Press
ISBN 13 : 0128092327
Total Pages : 568 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Smart Energy Grid Engineering by : Hossam Gabbar

Download or read book Smart Energy Grid Engineering written by Hossam Gabbar and published by Academic Press. This book was released on 2016-10-12 with total page 568 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Energy Grid Engineering provides in-depth detail on the various important engineering challenges of smart energy grid design and operation by focusing on advanced methods and practices for designing different components and their integration within the grid. Governments around the world are investing heavily in smart energy grids to ensure optimum energy use and supply, enable better planning for outage responses and recovery, and facilitate the integration of heterogeneous technologies such as renewable energy systems, electrical vehicle networks, and smart homes around the grid. By looking at case studies and best practices that illustrate how to implement smart energy grid infrastructures and analyze the technical details involved in tackling emerging challenges, this valuable reference considers the important engineering aspects of design and implementation, energy generation, utilization and energy conservation, intelligent control and monitoring data analysis security, and asset integrity. Includes detailed support to integrate systems for smart grid infrastructures Features global case studies outlining design components and their integration within the grid Provides examples and best practices from industry that will assist in the migration to smart grids

Intelligent Learning Approaches for Renewable and Sustainable Energy

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Publisher : Elsevier
ISBN 13 : 044315807X
Total Pages : 315 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Intelligent Learning Approaches for Renewable and Sustainable Energy by : Josep M. Guerrero

Download or read book Intelligent Learning Approaches for Renewable and Sustainable Energy written by Josep M. Guerrero and published by Elsevier. This book was released on 2024-02-21 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent Learning Approaches for Renewable and Sustainable Energy provides a practical, systematic overview of the application of advanced intelligent control techniques, adaptive techniques, machine learning algorithms, and predictive control in renewable and sustainable energy.The book begins by introducing the intelligent learning approaches, and the roles of artificial intelligence and machine learning in terms of energy and sustainability, grid transformation, large-scale integration of renewable energy, and variability and flexibility of renewable sources. The second section of the book provides detailed coverage of intelligent learning techniques as applied to key areas of renewable and sustainable energy, including forecasting, supply and demand, integration, energy management, and optimization, supported by case studies, figures, schematics, and references.This is a useful resource for researchers, scientists, advanced students, energy engineers, R&D professionals, and other industrial personnel with an interest in sustainable energy and integration of renewable energy sources, energy systems, energy engineering, machine learning, and artificial intelligence. Explores cutting-edge intelligent techniques and their implications for future energy systems development Opens the door to a range of applications across forecasting, supply and demand, energy management, optimization, and more Includes a range of case studies that provide insights into the challenges and solutions in real-world applications

Dynamic Vulnerability Assessment and Intelligent Control

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Publisher : John Wiley & Sons
ISBN 13 : 1119214971
Total Pages : 448 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Dynamic Vulnerability Assessment and Intelligent Control by : José Luis Rueda-Torres

Download or read book Dynamic Vulnerability Assessment and Intelligent Control written by José Luis Rueda-Torres and published by John Wiley & Sons. This book was released on 2018-01-25 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identifying, assessing, and mitigating electric power grid vulnerabilities is a growing focus in short-term operational planning of power systems. Through illustrated application, this important guide surveys state-of-the-art methodologies for the assessment and enhancement of power system security in short term operational planning and real-time operation. The methodologies employ advanced methods from probabilistic theory, data mining, artificial intelligence, and optimization, to provide knowledge-based support for monitoring, control (preventive and corrective), and decision making tasks. Key features: Introduces behavioural recognition in wide-area monitoring and security constrained optimal power flow for intelligent control and protection and optimal grid management. Provides in-depth understanding of risk-based reliability and security assessment, dynamic vulnerability assessment methods, supported by the underpinning mathematics. Develops expertise in mitigation techniques using intelligent protection and control, controlled islanding, model predictive control, multi-agent and distributed control systems Illustrates implementation in smart grid and self-healing applications with examples and real-world experience from the WAMPAC (Wide Area Monitoring Protection and Control) scheme. Dynamic Vulnerability Assessment and Intelligent Control for Power Systems is a valuable reference for postgraduate students and researchers in power system stability as well as practicing engineers working in power system dynamics, control, and network operation and planning.