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Wind Power Electric Systems: Modeling, Simulation and Control Softcover reprint of the original 1st ed. 2014 [Mīkstie vāki]

  • Formāts: Paperback / softback, 202 pages, height x width: 235x155 mm, weight: 454 g, 219 Illustrations, black and white; XX, 202 p. 219 illus., 1 Paperback / softback
  • Sērija : Green Energy and Technology
  • Izdošanas datums: 30-Apr-2017
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 144717237X
  • ISBN-13: 9781447172376
  • Mīkstie vāki
  • Cena: 91,53 €*
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  • Standarta cena: 107,69 €
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  • Formāts: Paperback / softback, 202 pages, height x width: 235x155 mm, weight: 454 g, 219 Illustrations, black and white; XX, 202 p. 219 illus., 1 Paperback / softback
  • Sērija : Green Energy and Technology
  • Izdošanas datums: 30-Apr-2017
  • Izdevniecība: Springer London Ltd
  • ISBN-10: 144717237X
  • ISBN-13: 9781447172376
The book helps readers understand key concepts in standalone and grid connected wind energy systems and features analysis into the modeling and optimization of commonly used configurations through the implementation of different control strategies.

Utilizing several electrical machinery control approaches, such as vector control and direct torque control 'Wind Power Electric Systems' equips readers with the means to understand, assess and develop their own wind energy systems and to evaluate the performance of such systems.

Mathematical models are provided for each system and a corresponding MATLAB/SIMULINK example is included at the end of each section in order to demonstrate key processes and methods.
1.- Wind applications overview 2.- Wind energy conversion and power electronics modeling 3.- Optimized wind systems 4.- Modeling of storage systems 5.- Control of wind turbine systems 6.- Hybrid wind systems 7.- Applications of wind systems 8.- Examples of wind systems.
Dr. Ziani Djamila Rekioua is a Phd holder in Electrical Engineering. Her interest areas include the control of different electrical machines (Permanent Magnet Synchronous and Induction Machines). She supervises Masters and Phd level students in wind, photovoltaic and hybrid applications, such as pumping and rural electrification.