文档介绍：Green Energy and Technology
Lingfeng Wang, Chanan Singh,
and Andrew Kusiak (Eds.)
Wind Power Systems
Applications putational Intelligence
With 256 Figures and 63 Tables
ABC
Editors
Dr. Lingfeng Wang Dr. Andrew Kusiak
Department of Electrical Engineering Mechanical and Industrial
puter Science Engineering Department
University of Toledo University of Iowa
Toledo, OH 43606 3131 Seamans Center
USA Iowa City, IA 52242
E-mail: @ USA
E-mail: andrew-******@
Dr. Chanan Singh
Electrical puter
Engineering Department
Texas A&M University
College Station, TX 77843-3128
USA
E-mail: ******@
ISBN 978-3-642-13249-0 e-ISBN 978-3-642-13250-6
Springer Series in Green Energy and Technology ISSN 1865-3529
Library of Congress Control Number: 2010927161
c 2010 Springer-Verlag Berlin Heidelberg
This work is subject to copyright. All rights are reserved, whether the whole or part of the material is
concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting,
reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication
or parts thereof is permitted only under the provisions of the German Copyright Law of September 9,
1965, in its current version, and permission for use must always be obtained from Springer. Violations
are liable for prosecution under the German Copyright Law.
The use of general descriptive names, registered names, trademarks, etc. in this publication does not
imply, even in the absence of a specific statement, that such names are exempt from the relevant protective
laws and regulations and therefore free for general use.
Cover design: WMXDesign, Heidelberg
Printed on acid-free paper
987654321
Preface
Renewable energy such as wind power has attracted much attention due to its sev-
eral merits such as environmental friendliness and enhancement of nation’s energy
security. In recent years, large capacity of win