Computational Intelligence Applications In Smart Grids
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Computational Intelligence Applications in Smart Grids
Author | : Ahmed F Zobaa,Alfredo Vaccaro |
Publsiher | : World Scientific |
Total Pages | : 264 |
Release | : 2014-12-23 |
Genre | : Computers |
ISBN | : 9781783265909 |
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This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids. From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options to customers and improved levels of security. Smart grid technologies include advanced sensing systems, two-way high-speed communications, monitoring and enterprise analysis software, and related services used to obtain location-specific and real-time actionable data for the provision of enhanced services for both system operators (i.e. distribution automation, asset management, advanced metering infrastructure) and end-users (i.e. demand side management, demand response). In this context, a crucial issue is how to support the evolution of existing electrical grids from static hierarchal systems to self-organizing, highly scalable and pervasive networks. Modern trends are oriented toward the employment of computational intelligence techniques for deploying advanced control, protection and monitoring architectures that move away from the older centralized paradigm to systems distributed across the field with an increasing pervasion of intelligence devices. The large-scale deployment of computational intelligence technologies in smart grids could lead to a more efficient tasks distribution amongst energy resources and, consequently, to a sensible improvement of the electrical grid flexibility. Contents: Wide-Area Monitoring, Protection and Control Needs, Applications, and Benefits (Vahid Madani, Damir Novosel and Roger King)A MINLP Approach for Network Reconfiguration and Dispatch in Distribution Systems (Sergio Bruno and Massimo La Scala)Multi-Objective Optimization Methods for Solving the Economic Emission Dispatch Problem (Balusu Srinivasa Rao and Kanchapogu Vaisakh)Voltage Security Assessment and Optimal Load Shedding Using the CBR Approach (Narayan Prasad Patidar)A Novel State Estimation Paradigm Based on Artificial Dynamic Models (Francesco Torelli and Alfredo Vaccaro)Improving Voltage Regulation in Smart Grids through Adaptive Fuzzy Agents (Giovanni Acampora and Autilia Vitiello)Smart Metering (Daniele Gallo, Carmine Landi, Marco Landi and Mario Luiso) Readership: Graduate students and researchers interested in smart grids and advanced power networks. Key Features:This book will address many relevant topics ranging from methods for balancing resources to various control and security aspects. It not only focuses on technological breakthroughs and roadmaps in implementing the technology, but also presents the much-needed sharing of best practicesIt will integrate scientific contributions developed by highly qualified international experts very active in the fields of power systems management and computational intelligenceIt will present and discuss various case studies aimed at assessing the benefits deriving from the application of the proposed methodologies on real power systemsKeywords:Smart Grids;Power Systems;Renewable Power Generation;Computational Intelligence
Computational Intelligence Applications in Smart Grids
Author | : Ahmed F. Zobaa,Alfredo Vaccaro |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2015 |
Genre | : COMPUTERS |
ISBN | : 1783265892 |
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Artificial Intelligence and Internet of Things for Renewable Energy Systems
Author | : Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Kamal Kant Hiran,Jens Bo Holm-Nielson,Ramesh C. Bansal |
Publsiher | : Walter de Gruyter GmbH & Co KG |
Total Pages | : 318 |
Release | : 2021-11-22 |
Genre | : Computers |
ISBN | : 9783110714043 |
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This book explains the application of Artificial Intelligence and Internet of Things on green energy systems. The design of smart grids and intelligent networks enhances energy efficiency, while the collection of environmental data through sensors and their prediction through machine learning models improve the reliability of green energy systems.
Intelligent Renewable Energy Systems
Author | : Neeraj Priyadarshi,Akash Kumar Bhoi,Sanjeevikumar Padmanaban,S. Balamurugan,Jens Bo Holm-Nielsen |
Publsiher | : John Wiley & Sons |
Total Pages | : 484 |
Release | : 2022-01-19 |
Genre | : Computers |
ISBN | : 9781119786276 |
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INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.
2013 IEEE Computational Intelligence Applications in Smart Grid CIASG
Author | : IEEE Electrical Insulation Society Staff |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2013-04-15 |
Genre | : Technology & Engineering |
ISBN | : 1467360015 |
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2011 IEEE Symposium on Computational Intelligence Applications in Smart Grid
Author | : IEEE Staff,Institute of Electrical and Electronics Engineers,IEEE Computational Intelligence Society |
Publsiher | : Unknown |
Total Pages | : 135 |
Release | : 2011-05 |
Genre | : Computational grids (Computer systems) |
ISBN | : 1424498937 |
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Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection
Author | : Almoataz Y. Abdelaziz,Shady Hossam Eldeen Abdel Aleem,Anamika Yadav |
Publsiher | : CRC Press |
Total Pages | : 512 |
Release | : 2021-10-22 |
Genre | : Computers |
ISBN | : 9781000454598 |
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Artificial intelligence (AI) can successfully help in solving real-world problems in power transmission and distribution systems because AI-based schemes are fast, adaptive, and robust and are applicable without any knowledge of the system parameters. This book considers the application of AI methods for the protection of different types and topologies of transmission and distribution lines. It explains the latest pattern-recognition-based methods as applicable to detection, classification, and location of a fault in the transmission and distribution lines, and to manage smart power systems including all the pertinent aspects. FEATURES Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction, and estimation, exclusive to power system protection issues Presents an introduction to enhanced electricity system analysis using decision-making tools Covers AI applications in different protective relaying functions Discusses issues and challenges in the protection of transmission and distribution systems Includes a dedicated chapter on case studies and applications This book is aimed at graduate students, researchers, and professionals in electrical power system protection, stability, and smart grids.
Applications of Big Data and Artificial Intelligence in Smart Energy Systems
Author | : Neelu Nagpal,Hassan Haes Alhelou,Pierluigi Siano,Sanjeevikumar Padmanaban,D. Lakshmi |
Publsiher | : CRC Press |
Total Pages | : 318 |
Release | : 2023-09-29 |
Genre | : Science |
ISBN | : 9781000963823 |
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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.