Mahmoud mossa (24 Ergebnisse)

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 207 pages. 6.14x0.48x9.21 inches. In Stock.

Paperback. Zustand: Brand New. 188 pages. 9.18x6.12x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Master's Thesis from the year 2013 in the subject Engineering - Power Engineering, grade: none, , course: Electrical engineering (Renewable energy), language: English, abstract: Wind electrical power systems are recently getting lot of attention, becausethey are cost competitive, environmental clean and safe renewable powersource, as compared with fossil fuel and nuclear power generation. A specialtype of induction generator, called a doubly fed induction generator (DFIG),is used extensively for high-power wind applications. They are used moreand more in wind turbine applications due to ease controllability, highenergy efficiency and improved power quality.This thesis aims to develop a method of a field orientation scheme forcontrol both the active and reactive powers of a DFIG driven by a windturbine.The proposed control system consists of a wind turbine that drives aDFIG connected to the utility grid through AC-DC-AC link. The maincontrol objective is to regulate the dc link voltage for operation at maximumavailable wind power.This is achieved by controlling the and axescomponents of voltages and currents for both rotor side and line sideconverters using PI controllers. The complete dynamic model of theproposed system is described in detail. Computer simulations have beencarried out in order to validate the effectiveness of the proposed systemduring the variation of wind speed. The results prove that , better overallperformances are achieved, quick recover from wind speed disturbances inaddition to good tracking ability.Generally, any abnormalities associated with grid asymmetrical faults aregoing to affect the system performance considerably. During grid faults,unbalanced currents cause negative effects like overheating problems andmechanical stress due to high torque pulsations that can damage the rotor shaft, gearbox or blade assembly. Therefore, the dynamic model of theDFIG, driven by a wind turbine during grid faults has been analyzed anddeveloped using the method of symmetrical components. The dynamicperformance of the DFIG during unbalanced grid conditions is analyzed anddescribed in detail using digital simulations.A novel fault ride-through (FRT) capability is proposed (i.e. the ability ofthe power system to remain connected to the grid during faults) with suitablecontrol strategy in this thesis. In this scheme, the input mechanical energy ofthe wind turbine during grid faults is stored and utilized at the moment offault clearance, instead of being dissipated in the resistors of the crowbarcircuit as in the existing FRT schemes. [.].…

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

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Taschenbuch. Zustand: Neu. Neuware - This book addresses and disseminates state-of-the-art research and development in the applications of soft computing techniques for renewable energy systems. It covers topics such as solar energy, wind energy, and solar concentrator technologies, as well as building systems and power generation systems. In all these areas, applications of soft computing methods such as artificial neural networks, genetic algorithms, particle swarm optimization, cuckoo search, fuzzy logic, and a combination of these, called hybrid systems, are included. This book is a source for students interested in the fields of renewable energy and the application of the soft computing. In addition, our book can be considered as a reference for researchers and academics since it will include applications of soft computing in different renewable energy systems.…

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New.

Zustand: New. In English.

Hardcover. Zustand: Brand New. 256 pages. 9.19x6.13x9.21 inches. In Stock.

Taschenbuch. Zustand: Neu. Energy Conversion Systems-Based Artificial Intelligence | Applications and Tools | Mahmoud A. Mossa (u. a.) | Taschenbuch | Energy Systems in Electrical Engineering | xv | Englisch | 2026 | Springer | EAN 9789819626670 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Hardcover. Zustand: Brand New. 288 pages. 9.19x6.13x0.62 inches. In Stock.

Hardcover. Zustand: Brand New. 238 pages. 9.25x6.10x9.49 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to propose advanced solutions based on artificial intelligence techniques for ECS in order to increase energy efficiency, ensure the safety of the ECS, and to improve the quality of the energy supplied to the grid. The efficiency and quality of the electrical energy produced depends mainly on the structure and efficiency of the control technology developed for the Energy Conversion System (ECS). To improve the performance of ECSs, it is interesting to design control systems that emulate some functions performed by the human brain. Among these interesting functions are self-adaptation, learning, flexibility of operation and planning in the presence of large uncertainties and with minimal information. Based on these aspects, artificial intelligence (AI) techniques can be developed and applied to solve the different control problems of ECSs.For academics, professionals, practitioners, and graduate students interested in the most recent research on the application of AI in ECS, it is the ideal reference source.…

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book aims to propose advanced solutions based on artificial intelligence techniques for ECS in order to increase energy efficiency, ensure the safety of the ECS, and to improve the quality of the energy supplied to the grid. The efficiency and quality of the electrical energy produced depends mainly on the structure and efficiency of the control technology developed for the Energy Conversion System (ECS). To improve the performance of ECSs, it is interesting to design control systems that emulate some functions performed by the human brain. Among these interesting functions are self-adaptation, learning, flexibility of operation and planning in the presence of large uncertainties and with minimal information. Based on these aspects, artificial intelligence (AI) techniques can be developed and applied to solve the different control problems of ECSs.For academics, professionals, practitioners, and graduate students interested in the most recent research on the application of AI in ECS, it is the ideal reference source.…