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Author: Giovanni Spagnuolo Publisher: MDPI ISBN: 3036505407 Category : Technology & Engineering Languages : en Pages : 106
Book Description
In modern photovoltaic systems, there is an ever-increasing need to improve the system efficiency, to detect internal faults and to guarantee service continuity. The only way to meet these objectives is to utilize and create synergies between diagnostic techniques and control algorithms. Diagnostic methods can be implemented through module-dedicated electronics, by running on real-time embedded systems or by using a huge database on the cloud, profiting from artificial intelligence, machine learning, and classifiers. Model-based diagnostic approaches and data-driven methods are attracting the interest of the scientific community for the automatic detection of phenomena like the occurrence of hot spots, the increase of the ohmic losses, the degradation due to unexpected potentials (PID), switch failures in power electronic converters, and also the reduction of the power production due to soiling or partial shadowing. The detection of malfunctioning or even faults affecting the whole power conversion chain, from the photovoltaic modules to the power conversion stages, allows to perform proper control actions, also in terms of MPPT. Control algorithms, running on an embedded system, are optimized, e.g., through the online adaptation of their own parameters, by suitably processing data coming from the diagnostic algorithms. This book presents recent and original results about the diagnostic approaches to photovoltaic modules and related power electronics and control strategies with the aim to maximize the photovoltaic output power, to increase the whole system efficiency and to guarantee service continuity.
Author: Giovanni Spagnuolo Publisher: MDPI ISBN: 3036505407 Category : Technology & Engineering Languages : en Pages : 106
Book Description
In modern photovoltaic systems, there is an ever-increasing need to improve the system efficiency, to detect internal faults and to guarantee service continuity. The only way to meet these objectives is to utilize and create synergies between diagnostic techniques and control algorithms. Diagnostic methods can be implemented through module-dedicated electronics, by running on real-time embedded systems or by using a huge database on the cloud, profiting from artificial intelligence, machine learning, and classifiers. Model-based diagnostic approaches and data-driven methods are attracting the interest of the scientific community for the automatic detection of phenomena like the occurrence of hot spots, the increase of the ohmic losses, the degradation due to unexpected potentials (PID), switch failures in power electronic converters, and also the reduction of the power production due to soiling or partial shadowing. The detection of malfunctioning or even faults affecting the whole power conversion chain, from the photovoltaic modules to the power conversion stages, allows to perform proper control actions, also in terms of MPPT. Control algorithms, running on an embedded system, are optimized, e.g., through the online adaptation of their own parameters, by suitably processing data coming from the diagnostic algorithms. This book presents recent and original results about the diagnostic approaches to photovoltaic modules and related power electronics and control strategies with the aim to maximize the photovoltaic output power, to increase the whole system efficiency and to guarantee service continuity.
Author: K.Mohana Sundaram Publisher: CRC Press ISBN: 1000545857 Category : Science Languages : en Pages : 151
Book Description
This book provides comprehensive insight into the fault detection techniques implemented for photovoltaic (PV) panels. It includes studies related to predictive maintenance needed to improve the performance of the solar PV systems using Artificial Intelligence (AI) techniques. The readers gain knowledge on the fault identification algorithm and the significance of all such algorithms in real-time power system applications. Gives detailed overview of fundamental concepts of fault diagnosis algorithm for solar PV system Explains AC and DC side of the solar PV system-based electricity generation with real-time examples Covers effective extraction of the energy from solar radiation Illustrates artificial intelligence techniques for detecting the faults occurring in the solar PV system Includes MATLAB® based simulations and results on fault diagnosis including case studies This book is aimed at researchers, professionals and graduate students in electrical engineering, artificial intelligence, control algorithms, energy engineering, photovoltaic systems, industrial electronics.
Author: Wilfried van Sark Publisher: MDPI ISBN: 3039216228 Category : Technology & Engineering Languages : en Pages : 360
Book Description
Photovoltaic solar energy technology (PV) has been developing rapidly in the past decades, leading to a multi-billion-dollar global market. It is of paramount importance that PV systems function properly, which requires the generation of expected energy both for small-scale systems that consist of a few solar modules and for very large-scale systems containing millions of modules. This book increases the understanding of the issues relevant to PV system design and correlated performance; moreover, it contains research from scholars across the globe in the fields of data analysis and data mapping for the optimal performance of PV systems, faults analysis, various causes for energy loss, and design and integration issues. The chapters in this book demonstrate the importance of designing and properly monitoring photovoltaic systems in the field in order to ensure continued good performance.
Author: Sunil Rao Publisher: Springer Nature ISBN: 3031025059 Category : Technology & Engineering Languages : en Pages : 81
Book Description
The efficiency of solar energy farms requires detailed analytics and information on each panel regarding voltage, current, temperature, and irradiance. Monitoring utility-scale solar arrays was shown to minimize the cost of maintenance and help optimize the performance of the photo-voltaic arrays under various conditions. We describe a project that includes development of machine learning and signal processing algorithms along with a solar array testbed for the purpose of PV monitoring and control. The 18kW PV array testbed consists of 104 panels fitted with smart monitoring devices. Each of these devices embeds sensors, wireless transceivers, and relays that enable continuous monitoring, fault detection, and real-time connection topology changes. The facility enables networked data exchanges via the use of wireless data sharing with servers, fusion and control centers, and mobile devices. We develop machine learning and neural network algorithms for fault classification. In addition, we use weather camera data for cloud movement prediction using kernel regression techniques which serves as the input that guides topology reconfiguration. Camera and satellite sensing of skyline features as well as parameter sensing at each panel provides information for fault detection and power output optimization using topology reconfiguration achieved using programmable actuators (relays) in the SMDs. More specifically, a custom neural network algorithm guides the selection among four standardized topologies. Accuracy in fault detection is demonstrate at the level of 90+% and topology optimization provides increase in power by as much as 16% under shading.
Author: Adel Mellit Publisher: Academic Press ISBN: 012820642X Category : Technology & Engineering Languages : en Pages : 376
Book Description
Handbook of Artificial Intelligence Techniques in Photovoltaic Systems: Modelling, Control, Optimization, Forecasting and Fault Diagnosis provides readers with a comprehensive and detailed overview of the role of artificial intelligence in PV systems. Covering up-to-date research and methods on how, when and why to use and apply AI techniques in solving most photovoltaic problems, this book will serve as a complete reference in applying intelligent techniques and algorithms to increase PV system efficiency. Sections cover problem-solving data for challenges, including optimization, advanced control, output power forecasting, fault detection identification and localization, and more. Supported by the use of MATLAB and Simulink examples, this comprehensive illustration of AI-techniques and their applications in photovoltaic systems will provide valuable guidance for scientists and researchers working in this area. Includes intelligent methods in real-time using reconfigurable circuits FPGAs, DSPs and MCs Discusses the newest trends in AI forecasting, optimization and control applications Features MATLAB and Simulink examples highlighted throughout
Author: Publisher: Springer Nature ISBN: 9464634960 Category : Languages : en Pages : 415
Author: Sanjiv K. Bhatia Publisher: Springer ISBN: 981130341X Category : Technology & Engineering Languages : en Pages : 420
Book Description
The book includes the insights that reflect ‘Advances in Computer and Computational Sciences’ from upcoming researchers and leading academicians across the globe. It contains the high-quality peer-reviewed papers of ‘International Conference on Computer, Communication and Computational Sciences (IC4S 2017), held during 11–12 October, 2017 in Thailand. These papers are arranged in the form of chapters. The content of this book is divided into two volumes that cover variety of topics such as intelligent hardware and software design, advanced communications, intelligent computing techniques, intelligent image processing, and web and informatics. This book helps the perspective readers’ from computer industry and academia to derive the advances of next generation computer and communication technology and shape them into real life applications.
Author: Ahteshamul Haque Publisher: CRC Press ISBN: 1000857530 Category : Technology & Engineering Languages : en Pages : 344
Book Description
The current model for electricity generation and distribution is dominated by centralized power plants which are typically associated with combustion (coal, oil, and natural gas) or nuclear generation units. These power models require distribution from the center to outlying consumers and have many disadvantages concerning the electric utilities, transmission and distribution, and greenhouse gas emissions. This resulted in the modelling and development of cleaner renewable power generation with alternative sources such as photovoltaic (PV), wind, and other sources. Further, due to matured PV technology, constant drop-in installation cost, greenhouse emissions reductions, energy efficiency, reduced transmission and distribution investments, minimization of electric losses, and network support, the development of PV systems is proliferating. In view of this development, this book provides an idea for setting up the PV plant from initial study of the site to plan sizing. Once the first planning is covered, the book focuses on the modeling aspects of power electronics converter and control elements associated with it keeping the operating standards specified for the development of distributed generation systems in check. This book will be useful for industrial professionals and researchers who are working toward modeling of PV plants, and their control in grid connected operation. All the necessary information related to these fields is available in the book.
Author: Sally Lin Publisher: Springer ISBN: 3642217834 Category : Computers Languages : en Pages : 480
Book Description
This two-volume set (CCIS 175 and CCIS 176) constitutes the refereed proceedings of the International Conference on Computer Education, Simulation and Modeling, CSEM 2011, held in Wuhan, China, in June 2011. The 148 revised full papers presented in both volumes were carefully reviewed and selected from a large number of submissions. The papers cover issues such as multimedia and its application, robotization and automation, mechatronics, computer education, modern education research, control systems, data mining, knowledge management, image processing, communication software, database technology, artificial intelligence, computational intelligence, simulation and modeling, agent based simulation, biomedical visualization, device simulation & modeling, object-oriented simulation, Web and security visualization, vision and visualization, coupling dynamic modeling theory, discretization method , and modeling method research.
Author: Giovanni Spagnuolo
Author: Giovanni Spagnuolo
Author: K.Mohana Sundaram
Author: Wilfried van Sark
Author: Sunil Rao
Author: Adel Mellit
Author: 
Author: 
Author: Sanjiv K. Bhatia
Author: Ahteshamul Haque
Author: Sally Lin