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Model Predictive Control of Wind Energy Conversion Systems by Bin Wu (English) H

Description: Model Predictive Control of Wind Energy Conversion Systems by Bin Wu, Venkata Yaramasu Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Model Predictive Control of Wind Energy Conversion Systems addresses the predicative control strategy that has emerged as a promising digital control tool within the field of power electronics, variable-speed motor drives, and energy conversion systems. The authors provide a comprehensive analysis on the model predictive control of power converters employed in a wide variety of variable-speed wind energy conversion systems (WECS). The contents of this book includes an overview of wind energy system configurations, power converters for variable-speed WECS, digital control techniques, MPC, modeling of power converters and wind generators for MPC design. Other topics include the mapping of continuous-time models to discrete-time models by various exact, approximate, and quasi-exact discretization methods, modeling and control of wind turbine grid-side two-level and multilevel voltage source converters. The authors also focus on the MPC of several power converter configurations for full variable-speed permanent magnet synchronous generator based WECS, squirrel-cage induction generator based WECS, and semi-variable-speed doubly fed induction generator based WECS. Furthermore, this book: Analyzes a wide variety of practical WECS, illustrating important concepts with case studies, simulations, and experimental resultsProvides a step-by-step design procedure for the development of predictive control schemes for various WECS configurationsDescribes continuous- and discrete-time modeling of wind generators and power converters, weighting factor selection, discretization methods, and extrapolation techniquesPresents useful material for other power electronic applications such as variable-speed motor drives, power quality conditioners, electric vehicles, photovoltaic energy systems, distributed generation, and high-voltage direct current transmission.Explores S-Function Builder programming in MATLAB environment to implement various MPC strategies through the companion website Reflecting the latest technologies in the field, Model Predictive Control of Wind Energy Conversion Systems is a valuable reference for academic researchers, practicing engineers, and other professionals. It can also be used as a textbook for graduate-level and advanced undergraduate courses. Author Biography Venkata Yaramasu is currently working as an Assistant Professor of Electrical Engineering in the School of Informatics, Computing, and Cyber Systems, Northern Arizona University, USA. He has published more than 50 peer-reviewed technical papers including 22 journal papers, and 10 technical reports for the industry. Dr. Yaramasu worked closely with Rockwell Automation, Toronto Hydro, Hydro One, Natural Sciences and Engineering Research Council of Canada, Wind Energy Strategic Network and Connect Canada, and completed 8 industrial projects in Power Electronics, Electric Drives and Renewable Energy. Dr. Yaramasu is recipient of over 15 awards for research and teaching excellence. Bin Wu is currently a Professor in the Department of Electrical and Computer Engineering, Ryerson University, Canada and is the Senior NSERC/Rockwell Automation Industrial Research Chair in Power Electronics and Electric Drives. Dr. Wu has published more than 350 peer-reviewed technical papers, two Wiley-IEEE Press books, and holds more than 30 issued and pending patents in power electronics, adjustable-speed drives and renewable energy systems. He is a Fellow of the Institute of Electrical and Electronic Engineers (IEEE), Engineering Institute of Canada (EIC), and Canadian Academy of Engineering (CAE). Dr. Wu is a Registered Professional Engineer in the Province of Ontario, Canada. Details ISBN 1118988582 ISBN-13 9781118988589 Title Model Predictive Control of Wind Energy Conversion Systems Author Bin Wu, Venkata Yaramasu Format Hardcover Year 2017 Pages 512 Publisher John Wiley & Sons Inc GE_Item_ID:137319887; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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Model Predictive Control of Wind Energy Conversion Systems by Bin Wu (English) H

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781118988589

Book Title: Model Predictive Control of Wind Energy Conversion Systems

Number of Pages: 512 Pages

Language: English

Publication Name: Model Predictive Control of Wind Energy Conversion Systems

Publisher: Wiley & Sons, Incorporated, John

Publication Year: 2016

Item Height: 1.2 in

Subject: Energy, Power Resources / Fossil Fuels, Power Resources / Alternative & Renewable

Item Weight: 35.3 Oz

Type: Textbook

Subject Area: Technology & Engineering, Science

Author: Venkata Yaramasu, Bin Wu

Item Length: 10.1 in

Item Width: 7.5 in

Series: IEEE Press Series on Power and Energy Systems Ser.

Format: Hardcover

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