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Decision and Control in Hybrid Wind Farms

Decision and Control in Hybrid Wind Farms
Author: Harsh S. Dhiman
Publisher: Springer Nature
Total Pages: 140
Release: 2019-09-28
Genre: Technology & Engineering
ISBN: 9811502757

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This book focuses on two of the most important aspects of wind farm operation: decisions and control. The first part of the book deals with decision-making processes, and explains that hybrid wind farm operation is governed by a set of alternatives that the wind farm operator must choose from in order to achieve optimal delivery of wind power to the utility grid. This decision-making is accompanied by accurate forecasts of wind speed, which must be known beforehand. Errors in wind forecasting can be compensated for by pumping power from a reserve capacity to the grid using a battery energy storage system (BESS). Alternatives based on penalty cost are assessed using certain criteria, and MCDM methods are used to evaluate the best choice. Further, considering the randomness in the dynamic phenomenon in wind farms, a fuzzy MCDM approach is applied during the decision-making process to evaluate the best alternative for hybrid wind farm operation. Case studies from wind farms in the USA are presented, together with numerical solutions to the problem. In turn, the second part deals with the control aspect, and especially with yaw angle control, which facilitates power maximization at wind farms. A novel transfer function-based methodology is presented that controls the wake center of the upstream turbine(s); lidar-based numerical simulation is carried out for wind farm layouts; and an adaptive control strategy is implemented to achieve the desired yaw angle for upstream turbines. The proposed methodology is tested for two wind farm layouts. Wake management is also implemented for hybrid wind farms where BESS life enhancement is studied. The effect of yaw angle on the operational cost of BESS is assessed, and case studies for wind farm datasets from the USA and Denmark are discussed. Overall, the book provides a comprehensive guide to decision and control aspects for hybrid wind farms, which are particularly important from an industrial standpoint.


Modeling, Simulation and Optimization of Wind Farms and Hybrid Systems

Modeling, Simulation and Optimization of Wind Farms and Hybrid Systems
Author: Karam Maalawi
Publisher: BoD – Books on Demand
Total Pages: 264
Release: 2020-03-25
Genre: Technology & Engineering
ISBN: 1789856116

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The reduction of greenhouse gas emissions is a major governmental goal worldwide. The main target, hopefully by 2050, is to move away from fossil fuels in the electricity sector and then switch to clean power to fuel transportation, buildings and industry. This book discusses important issues in the expanding field of wind farm modeling and simulation as well as the optimization of hybrid and micro-grid systems. Section I deals with modeling and simulation of wind farms for efficient, reliable and cost-effective optimal solutions. Section II tackles the optimization of hybrid wind/PV and renewable energy-based smart micro-grid systems.


Future of wind

Future of wind
Author: International Renewable Energy Agency IRENA
Publisher: International Renewable Energy Agency (IRENA)
Total Pages: 161
Release: 2019-10-01
Genre: Technology & Engineering
ISBN: 9292601970

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This study presents options to speed up the deployment of wind power, both onshore and offshore, until 2050. It builds on IRENA’s global roadmap to scale up renewables and meet climate goals.


Control of Large Wind Energy Systems

Control of Large Wind Energy Systems
Author: Adrian Gambier
Publisher: Springer Nature
Total Pages: 301
Release: 2022-01-12
Genre: Technology & Engineering
ISBN: 3030848957

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Wind energy systems are central contributors to renewable energy generation, and their technology is continuously improved and updated. Without losing sight of theory, Control of Large Wind Energy Systems demonstrates how to implement concrete control systems for modern wind turbines, explaining the reasons behind choices and decisions. This book provides an extended treatment of different control topics divided into three thematic parts including modelling, control and implementation. Solutions for real-life difficulties such as multi-parameter tuning of several controllers, curve fitting of nonlinear power curves, and filter design for concrete signals are also undertaken. Examples and a case study are included to illustrate the parametrization of models, the control systems design with problems and possible solutions. Advice for the selection of control laws, calculation of specific parameters, which are necessary for the control laws, as the sensitivity functions, is given, as well as an evaluation of control performance based on indices and load calculation. Control of Large Wind Energy Systems covers methodologies which are not usually found in literature on this topic, including fractional order PID and nonlinear PID for pitch control, peak shaving control and extremum seeking control for the generator control, yaw control and shutdown control. This makes it an ideal book for postgraduate students, researchers and industrial engineers in the field of wind turbine control. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.


Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction

Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction
Author: Harsh S. Dhiman
Publisher: Academic Press
Total Pages: 216
Release: 2020-01-20
Genre: Machine learning
ISBN: 0128213531

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Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction provides an up-to- date overview on the broad area of wind generation and forecasting, with a focus on the role and need of Machine Learning in this emerging field of knowledge. Various regression models and signal decomposition techniques are presented and analyzed, including least-square, twin support and random forest regression, all with supervised Machine Learning. The specific topics of ramp event prediction and wake interactions are addressed in this book, along with forecasted performance. Wind speed forecasting has become an essential component to ensure power system security, reliability and safe operation, making this reference useful for all researchers and professionals researching renewable energy, wind energy forecasting and generation. Features various supervised machine learning based regression models Offers global case studies for turbine wind farm layouts Includes state-of-the-art models and methodologies in wind forecasting


Wind Energy Explained

Wind Energy Explained
Author: James F. Manwell
Publisher: John Wiley & Sons
Total Pages: 704
Release: 2010-09-14
Genre: Technology & Engineering
ISBN: 9780470686287

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Wind energy’s bestselling textbook- fully revised. This must-have second edition includes up-to-date data, diagrams, illustrations and thorough new material on: the fundamentals of wind turbine aerodynamics; wind turbine testing and modelling; wind turbine design standards; offshore wind energy; special purpose applications, such as energy storage and fuel production. Fifty additional homework problems and a new appendix on data processing make this comprehensive edition perfect for engineering students. This book offers a complete examination of one of the most promising sources of renewable energy and is a great introduction to this cross-disciplinary field for practising engineers. “provides a wealth of information and is an excellent reference book for people interested in the subject of wind energy.” (IEEE Power & Energy Magazine, November/December 2003) “deserves a place in the library of every university and college where renewable energy is taught.” (The International Journal of Electrical Engineering Education, Vol.41, No.2 April 2004) “a very comprehensive and well-organized treatment of the current status of wind power.” (Choice, Vol. 40, No. 4, December 2002)


Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems

Modeling and Simulation of Smart Grid Integrated with Hybrid Renewable Energy Systems
Author: Mohamed Abdelaziz Mohamed
Publisher: Springer
Total Pages: 75
Release: 2017-08-03
Genre: Technology & Engineering
ISBN: 3319647954

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This book presents a comprehensive definition of smart grids and their benefits, and compares smart and traditional grids. It also introduces a design methodology for stand-alone hybrid renewable energy system with and without applying the smart grid concepts for comparison purposes. It discusses using renewable energy power plants to feed loads in remote areas as well as in central power plants connected to electric utilities. Smart grid concepts used in the design of the hybrid renewable power systems can reduce the size of components, which can be translated to a reduction in the cost of generated energy. The proposed hybrid renewable energy system includes wind, photovoltaic, battery, and diesel, and is used initially to feed certain loads, covering the load required completely. The book introduces a novel methodology taking the smart grid concept into account by dividing the loads into high and low priority parts. The high priority part should be supplied at any generated conditions. However, the low priority loads can be shifted to the time when the generated energy from renewable energy sources is greater than the high priority loads requirements. The results show that the use of this smart grid concept reduces the component size and the cost of generated energy compared to that without dividing the loads. The book also describes the use of smart optimization techniques like particle swarm optimization (PSO) and genetic algorithm (GA) to optimally design the hybrid renewable energy system. This book provides an excellent background to renewable energy sources, optimal sizing and locating of hybrid renewable energy sources, the best optimization methodologies for sizing and designing the components of hybrid renewable energy systems, and offers insights into using smart grid concepts in the system’s design and sizing. It also helps readers understand the dispatch methodology and how to connect the system’s different components, their modeling, and the cost analysis of the system.


Wind and Solar Power Systems

Wind and Solar Power Systems
Author: Mukund R. Patel
Publisher: CRC Press
Total Pages: 372
Release: 1999-03-30
Genre: Technology & Engineering
ISBN: 9780849316050

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Wind and solar energy are pollution-free sources of abundant power. With renewable power generation expected to become more and more profitable with open access to transmission lines and rapid growth around the world, the design, operation, and control of alternative energy resources becomes an essential field of study. Wind and Solar Power Systems provides a comprehensive treatment of this rapidly growing segment of the power industry. It provides the fundamentals of wind and solar power generation, energy conversion and storage, and the operational aspects of power electronics and the quality of power. It covers in detail the design, operation, and control methods applicable to stand-alone as well as grid-connected power systems and discusses the present status of and the on-going research in renewable power around the world. Wind and Solar Power Systems stands as the most modern, complete book available on renewable energy. Electrical, environmental and mechanical engineering professionals along with policy-makers evaluating the renewable energy potential of their regions will find in it the background and the details they need for decision making.


Hybrid Renewable Energy Systems and Microgrids

Hybrid Renewable Energy Systems and Microgrids
Author: Ersan Kabalci
Publisher: Academic Press
Total Pages: 529
Release: 2020-11-21
Genre: Technology & Engineering
ISBN: 012823248X

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Hybrid Renewable Energy Systems and Microgrids covers the modeling and analysis for each type of integrated and operational hybrid energy system. Looking at the fundamentals for conventional energy systems, decentralized generation systems, RES technologies and hybrid integration of RES power plants, the most important contribution this book makes is combining emerging energy systems that improve micro and smart grid systems and their components. Sections cover traditional system characteristics, features, challenges and benefits of hybrid energy systems over the conventional power grid, the deployment of emerging power electronic technologies, and up-to-date electronic devices and systems, including AC and DC waveforms. Conventional, emerging and hierarchical control methods and technologies applied in microgrid operations are covered to give researchers and practitioners the information needed to ensure reliability, resilience and flexibility of implemented hybrid energy systems. Presents detailed contents on emerging power networks provided by decentralized and distributed generation approaches Covers driving factors, photovoltaic based power plant modeling and planning studies Introduces hierarchical control methods and technologies applied in microgrid operations to ensure reliability, resilience and flexibility of hybrid energy systems