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Author: Mohamed Khallaf
Publisher:
ISBN:
Category : Electric power systems
Languages : en
Pages : 84
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Book Description
"Over the past years, the energy demand has been steadily growing and so methods of how to cope with this staggering increase are being researched and utilized. One method of injecting more energy to the grid is renewable energy, which has become in recent years an integral part of any country’s power generation plan. Thus, it is a necessity to enhance renewable energy resources and maximize their grid utilization, so that these resources can step up and reduce the over dependency of global energy production on depleting energy resources. This thesis focuses on solar power and effective means to enhance its efficiency through the use of different controllers. In this regard, substantial research efforts have been done. However, due to the current market and technological development, more options are made available that are able to boast the efficiency and utilization of renewables in the power mix. In this thesis, an enhanced maximum power point tracking (MPPT) controller has been designed as part of a Photovoltaic (PV) system to generate maximum power to satisfy load demand. The PV system is designed and simulated using MATLAB (consisting of a solar panel array, MPPT controller, boost converter, and a resistive load). The solar panel chosen for the array is Sun Power SPR- 440NE-WHT-D and the array is designed to produce 150 kW of power. The MPPT controller is designed using three different algorithms and the results are compared to identify each controller’s fortes and drawbacks. The three designed controllers used are based on Perturb and Observe (P&O) algorithm, Incremental Conductance (INC) with an Integral Regulator (IR) and Fuzzy Logic Control (FLC). Each controller was tested under two different scenarios; the first is when the panel array is subjected to constant amount of solar irradiance along with a constant atmospheric temperature and the second scenario has varying solar irradiance and atmospheric temperature. The performance of these controllers is analyzed and compared in terms of the output power efficiency, system dynamic response and finally the oscillations behavior. After analyzing the results, it is shown that Fuzzy Logic Controller design performed better compared to the other controllers as it had in most cases the highest mean power efficiency and fastest response."--Abstract.
Author: Mohamed Khallaf
Publisher:
ISBN:
Category : Electric power systems
Languages : en
Pages : 84
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Book Description
"Over the past years, the energy demand has been steadily growing and so methods of how to cope with this staggering increase are being researched and utilized. One method of injecting more energy to the grid is renewable energy, which has become in recent years an integral part of any country’s power generation plan. Thus, it is a necessity to enhance renewable energy resources and maximize their grid utilization, so that these resources can step up and reduce the over dependency of global energy production on depleting energy resources. This thesis focuses on solar power and effective means to enhance its efficiency through the use of different controllers. In this regard, substantial research efforts have been done. However, due to the current market and technological development, more options are made available that are able to boast the efficiency and utilization of renewables in the power mix. In this thesis, an enhanced maximum power point tracking (MPPT) controller has been designed as part of a Photovoltaic (PV) system to generate maximum power to satisfy load demand. The PV system is designed and simulated using MATLAB (consisting of a solar panel array, MPPT controller, boost converter, and a resistive load). The solar panel chosen for the array is Sun Power SPR- 440NE-WHT-D and the array is designed to produce 150 kW of power. The MPPT controller is designed using three different algorithms and the results are compared to identify each controller’s fortes and drawbacks. The three designed controllers used are based on Perturb and Observe (P&O) algorithm, Incremental Conductance (INC) with an Integral Regulator (IR) and Fuzzy Logic Control (FLC). Each controller was tested under two different scenarios; the first is when the panel array is subjected to constant amount of solar irradiance along with a constant atmospheric temperature and the second scenario has varying solar irradiance and atmospheric temperature. The performance of these controllers is analyzed and compared in terms of the output power efficiency, system dynamic response and finally the oscillations behavior. After analyzing the results, it is shown that Fuzzy Logic Controller design performed better compared to the other controllers as it had in most cases the highest mean power efficiency and fastest response."--Abstract.
Author: Sathans Suhag
Publisher: Springer Nature
ISBN: 981167664X
Category : Technology & Engineering
Languages : en
Pages : 484
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Book Description
The book contains select proceedings of the International Conference on Smart Grid Energy Systems and Control (SGESC 2021). The proceedings is divided into 03 volumes, and this volume focuses on adaptive control and intelligent sensors, wide-area measurements, and applications in the smart grid. This book includes papers on topics such as SMART sensors, vision sensors, sensor fusion, wireless sensors, and the internet of things, MEMS, Mechatronics, Remote sensing, telemetry, and its applications in automated vehicle control. This book is a unique collection of chapters from different areas with a common theme and will be immensely useful to academic researchers and practitioners in the industry.
Author: Sajal Kumar Das
Publisher: Springer Nature
ISBN: 9811698562
Category : Technology & Engineering
Languages : en
Pages : 382
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Book Description
To meet the increasing demand of electrical power, the use of renewable energy-based smart grid is attracting significant attention in recent years throughout the world. The high penetration of renewable power in the smart grids is growing its importance due to its non-finishing, reusable, reliable, sustainable, lower cost, and available characteristics. The renewable energy-based smart grid technology may mitigate the increasing energy demands effectively and efficiently without hampering the environment. But the uncertain nature of renewable sources largely affects the operation of the smart grid by un-stabling the voltage and frequency that may introduces power quality and reliability problems, which requires special control techniques. This book investigates the challenges in controlling renewable energy-based smart grids and proposes different control techniques to control the voltage and frequency effectively to improve the power quality and reliability of the power grids. This book is a valuable resource for readers interested in practical solutions in smart grids and renewable energy systems.
Author: Saad Motahhir
Publisher: Elsevier
ISBN: 044313393X
Category : Technology & Engineering
Languages : en
Pages : 454
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Book Description
Performance Enhancement and Control of Photovoltaic Systems brings together the latest advances in photovoltaic control and integration, with various embedded technologies applied to stand alone and grid connected systems, in normal and abnormal operating conditions, with new approaches intended to overcome a number of critical limitations in using PV technology. The book begins by introducing modern photovoltaic (PV) systems, system integration, materials, and thermodynamic analysis for improved performance, before examining applications in industrial processes, artificial neural network technology, and economic analysis of PV systems. In-depth chapters then demonstrate the use of advanced control and optimization techniques, covering the use of new embedded technologies, through different applications such as MPPT controllers, solar trackers, cleaning systems, cooling systems, and monitoring systems. Applications of photovoltaic energy systems in distributed generation, microgrid, and smart grid systems will be considered. This book is of interest to all those with an interest in photovoltaics, control, embedded systems, and renewable energy, including researchers, scientists, advanced students, engineers, R&D professionals, and other industry personnel. - Presents the latest materials and thermodynamic analysis techniques for improved PV performance - Provides detailed descriptions and analyses of embedded systems and digital technologies - Explores industrial applications that are supported by case studies and practical examples
Author: Yunfei Yin
Publisher: Springer Nature
ISBN: 3031531884
Category :
Languages : en
Pages : 219
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Book Description
Author: Sabyasachi SenGupta
Publisher: Springer
ISBN: 9811042861
Category : Technology & Engineering
Languages : en
Pages : 707
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Book Description
This volume comprises select proceedings of ETAEERE-2016. The volume offers state-of-the-art chapters on energy management systems (EMS), renewable energy resources, micro-generation, green communications architectures and frameworks, green computing and education as well as energy-aware process optimization. The contents covers a wide variety of topics and aspects including management of renewable energy systems and environmental challenges. The contents of this volume will be useful to researchers and practicing engineers working in the areas of smart grids and renewable energy generation, distribution, and management.
Author: Neeraj Priyadarshi
Publisher: John Wiley & Sons
ISBN: 1119786274
Category : Computers
Languages : en
Pages : 484
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Book Description
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.
Author: Chandra Babu P
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Performance improvement of maximum power point tracking (MPPT) controllers focuses on enhancing the effectiveness, accuracy, and efficiency of MPPT algorithms and techniques used in photovoltaic (PV) systems. The primary goal is to optimize power extraction from PV panels by continuously tracking and maintaining the system's operation at the maximum power point (MPP) under varying environmental conditions. The performance improvement of MPPT controllers involves several aspects, including algorithm design, control strategies, and system optimization. Researchers and engineers work on developing advanced MPPT algorithms that offer better tracking accuracy, faster response time, and improved stability compared to traditional techniques. One area of focus is algorithm design, where novel MPPT algorithms are developed or existing algorithms are enhanced to overcome limitations and improve performance. These algorithms utilize sensor measurements, such as PV panel voltage, current, and irradiance, to dynamically adjust the operating point of the PV system for maximum power extraction. Advanced techniques, such as adaptive algorithms, fuzzy logic, neural networks, and machine learning, may be employed to optimize the tracking efficiency and adaptability of the MPPT controllers. Another aspect is control strategy improvement, where the control parameters and feedback loops of the MPPT controllers are optimized. This involves carefully tuning the control parameters to ensure stable and efficient operation of the MPPT system. The feedback loops are designed to accurately measure and adjust the system's operating conditions, compensating for variations in solar irradiance, temperature, and load changes. Robust control techniques are implemented to handle uncertainties and disturbances, improving the overall performance of the MPPT controller. System optimization is also crucial for performance improvement. This includes considering factors such as PV panel characteristics, converter topologies, sensor placement, and communication interfaces. Optimizing these system parameters ensures compatibility and efficient operation of the MPPT controllers, leading to improved power extraction and higher energy yield from the PV system. To evaluate the performance improvement of MPPT controllers, simulations and experimental tests are conducted. Various operating conditions, such as different solar irradiance levels, temperature variations, shading effects, and load profiles, are considered to assess the controllers' effectiveness under real-world scenarios. Performance metrics, such as tracking accuracy, convergence speed, energy yield, and power losses, are analyzed to quantify the improvement achieved by the enhanced MPPT controllers. Overall, the performance improvement of MPPT controllers aims to enhance the energy conversion efficiency, increase power output, and maximize the utilization of solar energy in PV systems. It contributes to the advancement of renewable energy technologies, making PV systems more efficient, reliable, and economically viable for a wide range of applications.
Author: Recioui, Abdelmadjid
Publisher: IGI Global
ISBN: 179984028X
Category : Technology & Engineering
Languages : en
Pages : 400
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Book Description
Smart grid (SG), also called intelligent grid, is a modern improvement of the traditional power grid that will revolutionize the way electricity is produced, delivered, and consumed. Studying key concepts such as advanced metering infrastructure, distribution management systems, and energy management systems will support the design of a cost-effective, reliable, and efficient supply system, and will create a real-time bidirectional communication means and information exchange between the consumer and the grid operator of electric power. Optimizing and Measuring Smart Grid Operation and Control is a critical reference source that presents recent research on the operation, control, and optimization of smart grids. Covering topics that include phase measurement units, smart metering, and synchrophasor technologies, this book examines all aspects of modern smart grid measurement and control. It is designed for engineers, researchers, academicians, and students.
Author: Muhammad Faizan Tahir
Publisher: Frontiers Media SA
ISBN: 2832526543
Category : Technology & Engineering
Languages : en
Pages : 155
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Book Description
