Overview
- Contains the latest research in the area of wind power systems with computational intelligence applied
- Written by experts in the field
- Up-to-date resource discussing many typical applications of computational intelligence in wind power systems
Part of the book series: Green Energy and Technology (GREEN)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
Keywords
About this book
Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a nation’s energy security. For example, recently more significant amounts of wind power are being integrated into conventional power grids. Therefore, it is necessary to address various important and challenging issues related to wind power systems, which are significantly different from the traditional generation systems. This book is a resource for engineers, practitioners, and decision-makers interested in studying or using the power of computational intelligence based algorithms in handling various important problems in wind power systems at the levels of power generation, transmission, and distribution.
Researchers have been developing biologically-inspired algorithms in a wide variety of complex large-scale engineering domains. Distinguished from the traditional analytical methods,the new methods usually accomplish the task through their computationally efficient mechanisms. Computational intelligence methods such as evolutionary computation, neural networks, and fuzzy systems have attracted much attention in electric power systems. Meanwhile, modern electric power systems are becoming more and more complex in order to meet the growing electricity market. In particular, the grid complexity is continuously enhanced by the integration of intermittent wind power as well as the current restructuring efforts in electricity industry. Quite often, the traditional analytical methods become less efficient or even unable to handle this increased complexity. As a result, it is natural to apply computational intelligence as a powerful tool to deal with various important and pressing problems in the current wind power systems. This book presents the state-of-the-art development in the field of computational intelligence applied to wind power systems by reviewing the most up-to-date work and representative practical problems collecting contributions from leading experts in electrical engineering, system engineering, and other disciplines.
Editors and Affiliations
Bibliographic Information
Book Title: Wind Power Systems
Book Subtitle: Applications of Computational Intelligence
Editors: Lingfeng Wang, Chanan Singh, Andrew Kusiak
Series Title: Green Energy and Technology
DOI: https://doi.org/10.1007/978-3-642-13250-6
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-13249-0Published: 09 June 2010
Softcover ISBN: 978-3-642-26363-7Published: 05 September 2012
eBook ISBN: 978-3-642-13250-6Published: 15 September 2010
Series ISSN: 1865-3529
Series E-ISSN: 1865-3537
Edition Number: 1
Number of Pages: X, 440
Topics: Renewable and Green Energy, Mathematical and Computational Engineering, Artificial Intelligence, Power Electronics, Electrical Machines and Networks, Renewable and Green Energy