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Enhancement Of Grid Connected Photovoltaic Systems Using Artificial Intelligence
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Book Synopsis Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence by : Amal M. Abd El- Hameid
Download or read book Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence written by Amal M. Abd El- Hameid and published by Springer Nature. This book was released on 2023-05-11 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhancement of Grid-Connected Photovoltaic Systems Using Artificial Intelligence presents methods for monitoring transmission systems and enhancing distribution system performance using modern optimization techniques considering different multi-objective functions such as voltage loss sensitivity indexes, reducing total annual cost, and voltage deviation. The authors offer a comprehensive survey of distributed energy resources (DERs), explain the backward/forward sweep (BFS) power flow algorithm, and present simulation results on the optimal integration of photovoltaic-based distributed generators (PV-DG) and distribution static synchronous compensators (DSTATCOM) in different transmission and distribution systems. This book will be a valuable academic and industry resource for electrical engineers, students, and researchers working on optimization techniques, photovoltaic systems, energy engineering, and artificial intelligence.
Book Synopsis Photovoltaic Systems Technology by : Mohammed Aslam Husain
Download or read book Photovoltaic Systems Technology written by Mohammed Aslam Husain and published by John Wiley & Sons. This book was released on 2024-05-23 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: PHOTOVOLTAIC SYSTEMS TECHNOLOGY Discover comprehensive insights into the latest advancements in solar PV technology, including power electronics, maximum power point tracking schemes, and forecasting techniques, with a focus on improving the performance of PV systems. A huge number of research articles and books have been published in the last two decades, covering different issues of PV efficiency, circuits, and systems for power processing and their related control. Books that have been published cover one or more topics but altogether fail to give a complete picture of the different aspects of PV systems. Photovoltaic Systems Technology aims to close the gap by providing a comprehensive review of techniques/practices that are dedicated to improving the performance of PV systems. The book is divided into three parts: the first part is dedicated to advancements in power electronic converters for PV systems; tools and techniques for maximum power point tracking of PV systems will be covered in the second part of the book; and the third part covers advancements in techniques for solar PV forecasting. The overall focus of the book is to highlight the advancements in modeling, design, performance under faulty conditions, forecasting, and application of solar photovoltaic (PV) systems using metaheuristic, evolutionary computation, machine learning, and AI approaches. It is intended for researchers and engineers aspiring to learn about the latest advancements in solar PV technology with emphasis on power electronics involved, maximum power point tracking (MPPT) schemes, and forecasting techniques.
Book Synopsis Artificial Intelligence for Solar Photovoltaic Systems by : Bhavnesh Kumar
Download or read book Artificial Intelligence for Solar Photovoltaic Systems written by Bhavnesh Kumar and published by CRC Press. This book was released on 2022-07-29 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates readers to find new AI-based solutions for these challenges by providing a comprehensive collection of findings on AI techniques. It covers important topics including solar irradiance variability, solar power forecasting, solar irradiance forecasting, maximum power point tracking, hybrid algorithms, swarm optimization, evolutionary optimization, sensor-based sun- tracking systems, single-axis and dual-axis sun-tracking systems, smart metering, frequency regulation using AI, emerging multilevel inverter topologies, and voltage and reactive power control using AI. This book is useful for senior undergraduate students, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and renewable energy.
Book Synopsis Design and Power Quality Improvement of Photovoltaic Power System by : Adel A. Elbaset
Download or read book Design and Power Quality Improvement of Photovoltaic Power System written by Adel A. Elbaset and published by Springer. This book was released on 2016-11-24 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a case study on a new approach for the optimum design of rooftop, grid-connected photovoltaic-system installation. The study includes two scenarios using different brands of commercially available PV modules and inverters. It investigates and compares several different rooftop grid-connected PV-system configurations taking into account PV modules and inverter specifications. The book also discusses the detailed dynamic MATLAB/Simulink model of the proposed rooftop grid-connected PV system, and uses this model to estimate the energy production capabilities, cost of energy (COE), simple payback time (SPBT) and greenhouse gas (GHG) emissions for each configuration. The book then presents a comprehensive small signal MATLAB/Simulink model for the DC-DC converter operated under continuous conduction mode (CCM). First, the buck converter is modeled using state-space average model and dynamic equations, depicting the converter, are derived. Then a detailed MATLAB/Simulink model utilizing SimElectronics® Toolbox is developed. Lastly, the robustness of the converter model is verified against input voltage variations and step load changes.
Book Synopsis Real-Time Simulation and Hardware-in-the-Loop Testing Using Typhoon HIL by : Saurabh Mani Tripathi
Download or read book Real-Time Simulation and Hardware-in-the-Loop Testing Using Typhoon HIL written by Saurabh Mani Tripathi and published by Springer Nature. This book was released on 2023 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an edited collection that explores the fundamental concepts of real-time simulation/hardware-in-the-loop testing using Typhoon HIL for complex electrical systems. Typhoon HIL has recently emerged as a powerful tool in the rapidly growing field of ultra-high-fidelity controller-hardware-in-the-loop (C-HIL) simulations for power electronics, microgrids, and distribution networks. The book integrates the coverage of underlying theory and acclaimed methodological approaches and high-value applications of real-time simulation and hardware-in-the-loop testingall from the perspectives of eminent researchers around the globe utilizing Typhoon HIL. This book serves as a valuable resource for engineers, academicians, researchers, experienced professionals, and research scholars engaged in /becoming familiarized with the real-time simulation of complex electrical systems using Typhoon HIL with a specific focus on hardware-in-the-loop testing.
Book Synopsis Artificial Intelligence in the Operation and Control of Digitalized Power Systems by : Sasan Azad
Download or read book Artificial Intelligence in the Operation and Control of Digitalized Power Systems written by Sasan Azad and published by Springer Nature. This book was released on with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles by : Angalaeswari, S.
Download or read book Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles written by Angalaeswari, S. and published by IGI Global. This book was released on 2023-02-10 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s modern society, to reduce the carbon dioxide gas emission from motor vehicles and to save mother nature, electric vehicles are becoming more practical. As more people begin to see the benefits of this technology, further study on the challenges and best practices is required. Artificial Intelligence Applications in Battery Management Systems and Routing Problems in Electric Vehicles focuses on the integration of renewable energy sources with the existing grid, introduces a power exchange scenario in the prevailing power market, considers the use of the electric vehicle market for creating cleaner and transformative energy, and optimizes the control variables with artificial intelligence techniques. Covering key topics such as artificial intelligence, smart grids, and sustainable development, this premier reference source is ideal for government officials, industry professionals, policymakers, researchers, scholars, practitioners, academicians, instructors, and students.
Book Synopsis Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance by : Ahteshamul Haque
Download or read book Fault Analysis and its Impact on Grid-connected Photovoltaic Systems Performance written by Ahteshamul Haque and published by John Wiley & Sons. This book was released on 2022-12-20 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: A thorough and authoritative discussion of how to use fault analysis to prevent grid failures In Fault Analysis and its Impact on Grid-Connected Photovoltaic Systems Performance, a team of distinguished engineers delivers an insightful and concise analysis of how engineers can use fault analysis to estimate and ensure reliability in grid-connected photovoltaic systems. The editors explore how failure data can be used to identify how power electronics-based power systems operate and how they can help to perform risk analysis and reduce the likelihood and frequency of failure. The book explains how to apply different fault detection techniques—including signal and image processing, fault tolerant approaches—and explores the impact of faults in grid-connected photovoltaic systems. It offers contributions from noted experts in the field and is fully updated to include the latest technologies and approaches. Readers will also find: A failure mode effect classification approach for distributed generation systems and their components Explanations of advanced machine learning approaches with significant market potential and real-world relevance A consideration of the issues pertaining to the integration of power electronics converters with distributed generation systems in grid-connected environments Treatments of IoT-based monitoring, ageing detection for capacitors, image and signal processing approaches, and standards for failure modes and criticality analyses Perfect for manufacturers and engineers working in the power electronics-based power system and smart grid sectors, Fault Analysis and its Impact on Grid-Connected Photovoltaic Systems Performance will also earn a place in the libraries of distributed generation companies facing issues in operation and maintenance.
Book Synopsis Proceedings of International Joint Conference on Advances in Computational Intelligence by : Mohammad Shorif Uddin
Download or read book Proceedings of International Joint Conference on Advances in Computational Intelligence written by Mohammad Shorif Uddin and published by Springer Nature. This book was released on 2022-05-18 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers outstanding research papers presented at the 5th International Joint Conference on Advances in Computational Intelligence (IJCACI 2021), held online during October 23–24, 2021. IJCACI 2021 is jointly organized by Jahangirnagar University (JU), Bangladesh, and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
Book Synopsis Ethical Artificial Intelligence in Power Electronics by : Tarandeep Kaur Bhatia
Download or read book Ethical Artificial Intelligence in Power Electronics written by Tarandeep Kaur Bhatia and published by CRC Press. This book was released on 2024-08-01 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the techniques of artificial intelligence that are mainly used in the power electronics field for the optimization of lost vehicle power. With the intention of optimizing the powerful energy of the vehicles and producing reliable energy, the most efficient methods, algorithms, and strategies of ethical artificial intelligence (AI) are being applied. By employing machine learning methods, the optimization of power energy in vehicles can be quickly recovered and managed efficiently. In today’s bustling world, power energy is indispensable for progress, yet in congested Vehicular Ad-hoc Networks (VANETs), vehicles often face power depletion and decreased efficiency. This book explores these challenges, encompassing not only power but also other critical power electronics within vehicles. We aim to introduce innovative approaches, leveraging ethical AI methods, to optimize energy performance in the face of these difficulties. Through this exploration, we seek to provide practical insights into navigating congested VANET environments while upholding ethical principles in technological advancements. Our book will discuss the current power energy concerns faced by vehicles and also contribute a novel strategy to overcome those concerns. The employment of ethical AI in vehicular power energy will undoubtedly improve the effectiveness and production of vehicles.
Book Synopsis Artificial Intelligence and Sustainable Computing by : Manjaree Pandit
Download or read book Artificial Intelligence and Sustainable Computing written by Manjaree Pandit and published by Springer Nature. This book was released on 2023-10-25 with total page 737 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality research papers presented at 4th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering and Technology (ICSISCET 2022) held at Madhav Institute of Technology & Science (MITS), Gwalior, India, from November 19 to 20, 2022. The book extensively covers recent research in artificial intelligence (AI) that knit together nature-inspired algorithms, evolutionary computing, fuzzy systems, computational intelligence, machine learning, deep learning, etc., which is very useful while dealing with real problems due to their model-free structure, learning ability, and flexible approach. These techniques mimic human thinking and decision-making abilities to produce systems that are intelligent, efficient, cost-effective, and fast. The book provides a friendly and informative treatment of the topics which makes this book an ideal reference for both beginners and experienced researchers.
Book Synopsis Modeling and Control of Static Converters for Hybrid Storage Systems by : Fekik, Arezki
Download or read book Modeling and Control of Static Converters for Hybrid Storage Systems written by Fekik, Arezki and published by IGI Global. This book was released on 2021-09-17 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: The energy transition initiated in recent years has enabled the growing integration of renewable production into the energy mix. Microgrids make it possible to maximize the efficiency of energy transmission from source to consumer by bringing the latter together geographically and by reducing losses linked to transport. However, the lack of inertia and the micro-grid support system makes it weak, and energy storage is necessary to ensure its proper functioning. Current storage technologies do not make it possible to provide both a large capacity of energy and power at the same time. Hybrid storage is a solution that combines the advantages of several technologies and reduces their disadvantages. Modeling and Control of Static Converters for Hybrid Storage Systems covers the modeling, control theorems, and optimization techniques that solve many scientific problems for researchers in the field of power converter control for renewable energy hybrid storage and places particular emphasis on the modeling and control of static converters for hybrid storage systems. Covering topics ranging from energy storage to power generation, this book is ideal for automation engineers, electrical engineers, mechanical engineers, professionals, scientists, academicians, master's and doctoral students, and researchers in the disciplines of electrical and mechanical engineering.
Book Synopsis Artificial Intelligence and Internet of Things for Renewable Energy Systems by : Neeraj Priyadarshi
Download or read book Artificial Intelligence and Internet of Things for Renewable Energy Systems written by Neeraj Priyadarshi and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-11-22 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Applications of AI and IOT in Renewable Energy by : Rabindra Nath Shaw
Download or read book Applications of AI and IOT in Renewable Energy written by Rabindra Nath Shaw and published by Academic Press. This book was released on 2022-02-09 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applications of AI and IOT in Renewable Energy provides a future vision of unexplored areas and applications for Artificial Intelligence and Internet of Things in sustainable energy systems. The ideas presented in this book are backed up by original, unpublished technical research results covering topics like smart solar energy systems, intelligent dc motors and energy efficiency study of electric vehicles. In all these areas and more, applications of artificial intelligence methods, including artificial neural networks, genetic algorithms, fuzzy logic and a combination of the above in hybrid systems are included. This book is designed to assist with developing low cost, smart and efficient solutions for renewable energy systems and is intended for researchers, academics and industrial communities engaged in the study and performance prediction of renewable energy systems. - Includes future applications of AI and IOT in renewable energy - Based on case studies to give each chapter real-life context - Provides advances in renewable energy using AI and IOT with technical detail and data
Book Synopsis Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities by : Mustapha Hatti
Download or read book Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities written by Mustapha Hatti and published by Springer Nature. This book was released on 2021-11-24 with total page 927 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book emphasizes the role of micro-grid systems and connected networks for the strategic storage of energy through the use of information and communication techniques, big data, the cloud, and meta-heuristics to support the greed for artificial intelligence techniques in data and the implementation of global strategies to meet the challenges of the city in the broad sense. The intelligent management of renewable energy in the context of the energy transition requires the use of techniques and tools based on artificial intelligence (AI) to overcome the challenges of the intermittence of resources and the cost of energy. The advent of the smart city makes an increased call for the integration of artificial intelligence and heuristics to meet the challenge of the increasing migration of populations to the city, in order to ensure food, energy, and environmental security of the citizen of the city and his well-being. This book is intended for policymakers, academics, practitioners, and students. Several real cases are exposed throughout the book to illustrate the concepts and methods of the networks and systems presented. This book proposes the development of new technological innovations—mainly ICT—the concept of “Smart City” appears as a means of achieving more efficient and sustainable cities. The overall goal of the book is to develop a comprehensive framework to help public and private stakeholders make informed decisions on smart city investment strategies and develop skills for assessment and prioritization, including resolution of difficulties with deployment and reproducibility.
Book Synopsis Artificial Intelligence for Robotics and Autonomous Systems Applications by : Ahmad Taher Azar
Download or read book Artificial Intelligence for Robotics and Autonomous Systems Applications written by Ahmad Taher Azar and published by Springer Nature. This book was released on 2023-05-15 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics.
Book Synopsis Intelligent Circuits and Systems by : Rajesh Singh
Download or read book Intelligent Circuits and Systems written by Rajesh Singh and published by CRC Press. This book was released on 2021-08-01 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICICS-2020 is the third conference initiated by the School of Electronics and Electrical Engineering at Lovely Professional University that explored recent innovations of researchers working for the development of smart and green technologies in the fields of Energy, Electronics, Communications, Computers, and Control. ICICS provides innovators to identify new opportunities for the social and economic benefits of society. This conference bridges the gap between academics and R&D institutions, social visionaries, and experts from all strata of society to present their ongoing research activities and foster research relations between them. It provides opportunities for the exchange of new ideas, applications, and experiences in the field of smart technologies and finding global partners for future collaboration. The ICICS-2020 was conducted in two broad categories, Intelligent Circuits & Intelligent Systems and Emerging Technologies in Electrical Engineering.
