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Optimization of Photovoltaic Power Systems

Author: Djamila Rekioua

Publisher: Springer Science & Business Media

Published: 2012-01-03

Total Pages: 287

ISBN-13: 1447124030

Photovoltaic generation is one of the cleanest forms of energy conversion available. One of the advantages offered by solar energy is its potential to provide sustainable electricity in areas not served by the conventional power grid. Optimisation of Photovoltaic Power Systems details explicit modelling, control and optimisation of the most popular stand-alone applications such as pumping, power supply, and desalination. Each section is concluded by an example using the MATLAB® and Simulink® packages to help the reader understand and evaluate the performance of different photovoltaic systems. Optimisation of Photovoltaic Power Systems provides engineers, graduate and postgraduate students with the means to understand, assess and develop their own photovoltaic systems. As such, it is an essential tool for all those wishing to specialise in stand-alone photovoltaic systems. Optimisation of Photovoltaic Power Systems aims to enable all researchers in the field of electrical engineering to thoroughly understand the concepts of photovoltaic systems; find solutions to their problems; and choose the appropriate mathematical model for optimising photovoltaic energy.

Solar Photovoltaic Power Optimization

Author: Michael Ginsberg

Publisher: Routledge

Published: 2019-10-08

Total Pages: 148

ISBN-13: 1351172034

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This book focuses on the rapidly maturing solar photovoltaic (PV) industry, which is achieving an ever-increasing share of U.S. and global power production. There is a growing need for all stakeholders – owners, maintenance technicians, utilities, and installers – to fully understand the operations and maintenance of PV systems, and how to monitor and diagnose systems post installation. Recognizing this need, this book covers monitoring and diagnostic techniques and technologies, including how to identify the causes of poor performance, and measure and verify power production. Drawing on global case studies, it details how to achieve optimal PV power output in the field through an overview of basic electrical, the solar PV module and Balance of System, and processes and software for monitoring, measurement, and verification. It also provides an overview of the North American Board of Certified Energy Practitioner’s (NABCEP) new PV System Inspector credential, which will be outlined in the final chapter. Equipping the reader with the knowledge and confidence required to maximize the output of solar PV installations, Solar Photovoltaics Power Optimization will be an essential resource for PV practitioners and students.

Solar Photovoltaic Power Plants

Author: Radu-Emil Precup

Publisher: Springer

Published: 2019-02-07

Total Pages: 250

ISBN-13: 9811361517

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This book discusses control and optimization techniques in the broadest sense, covering new theoretical results and the applications of newly developed methods for PV systems. Going beyond classical control techniques, it promotes the use of more efficient control and optimization strategies based on linearized models and purely continuous (or discrete) models. These new strategies not only enhance the performance of the PV systems, but also decrease the cost per kilowatt-hour generated.

Optimization in Renewable Energy Systems

Author: Ozan Erdinc

Publisher: Butterworth-Heinemann

Published: 2017-02-25

Total Pages: 327

ISBN-13: 0081012098

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Optimization in Renewable Energy Systems: Recent Perspectives covers all major areas where optimization techniques have been applied to reduce uncertainty or improve results in renewable energy systems (RES). Production of power with RES is highly variable and unpredictable, leading to the need for optimization-based planning and operation in order to maximize economies while sustaining performance. This self-contained book begins with an introduction to optimization, then covers a wide range of applications in both large and small scale operations, including optimum operation of electric power systems with large penetration of RES, power forecasting, transmission system planning, and DG sizing and siting for distribution and end-user premises. This book is an excellent choice for energy engineers, researchers, system operators, system regulators, and graduate students. Provides chapters written by experts in the field Goes beyond forecasting to apply optimization techniques to a wide variety of renewable energy system issues, from large scale to relatively small scale systems Provides accompanying computer code for related chapters

Solar Photovoltaic Power Generation

Author: Jinhuan Yang

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2020-08-10

Total Pages: 531

ISBN-13: 3110525429

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This book illustrates theories in photovoltaic power generation, and focuses on the application of photovoltaic system, such as on-grid and off-grid system optimization design. The principle of the solar cell and manufacturing processes, the design and installation of PV system are extensively discussed in the book, making it an essential reference for graduate students in photovoltaic field and industrial engineers.

Intelligent Renewable Energy Systems

Author: Neeraj Priyadarshi

Publisher: John Wiley & Sons

Published: 2022-01-19

Total Pages: 484

ISBN-13: 1119786274

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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.

Practical Examples of Energy Optimization Models

Author: Samsul Ariffin Abdul Karim

Publisher: Springer Nature

Published: 2020-01-02

Total Pages: 96

ISBN-13: 9811521999

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This book highlights state-of-the-art research on renewable energy integration technology and suitable and efficient power generation, discussing smart grids, renewable energy grid integration, prediction control models, and econometric models for predicting the global solar radiation and factors that affect solar radiation, performance evaluation of photovoltaic systems, and improved energy consumption prediction models. It discusses several methods, algorithms, environmental data-based performance analyses, and experimental results to help readers gain a detailed understanding of the pros and cons of technologies in this rapidly growing area. Accordingly, it offers a valuable resource for students and researchers working on renewable energy optimization models.

Machine Learning for Solar Array Monitoring, Optimization, and Control

Author: Sunil Rao

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 81

ISBN-13: 3031025059

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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.

Advances in Solar Photovoltaic Power Plants

Author: Md. Rabiul Islam

Publisher: Springer

Published: 2016-06-15

Total Pages: 351

ISBN-13: 3662505215

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This book focuses on the latest research and developments in photovoltaic (PV) power plants, and provides extensive coverage of fundamental theories, current research and developmental activities, and new approaches intended to overcome a number of critical limitations in today’s grid integration technologies. The design and implementation process for large-scale solar PV power plants is introduced. The content provided will actively support the development of future renewable power plants and smart grid applications. The book will be of interest to researchers, professionals and graduate students in electrical and electronics fields seeking to understand the related technologies involved in PV power plants.

Photovoltaic Water Pumping Systems

Author: Tamer Khatib

Publisher: Academic Press

Published: 2020-10-29

Total Pages: 312

ISBN-13: 0128227400

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Photovoltaic Water Pumping Systems: Concept, Design and Methods of Optimization looks at the potential of effectively designed PVPS and how they can be commercially efficient and economically competitive to grid connected or diesel generator (DG) based pumping systems. The low energy conversion efficiency of PV modules, nonlinearity of PV module/array I-V characteristics and the unique maximum power operation point are major challenges of this technology, this book provides readers with design and optimization methods, codes and critical analysis of the recent developments in PV pumping systems. Focusing on system feasibility and suitable applications with design procedures, this reference presents a critical analysis of PVPS field performance, modeling and control strategies using artificial intelligence techniques. A suitable text for researchers, engineers and graduate students who are working in the field of photovoltaics and pumping and systems. Uses open source Matlab codes for PV pumping system optimization Provides global cases studies and design examples for comparison Includes a data source sheet for proposed systems for successful implementation methods