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Wind Energy Systems: Solutions For Power Quality & Stabilization at Meripustak

Wind Energy Systems: Solutions For Power Quality & Stabilization by Ali H , Taylor and Francis

Books from same Author: Ali H

Books from same Publisher: Taylor and Francis

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  • General Information  
    Author(s)Ali H
    PublisherTaylor and Francis
    ISBN9781439856147
    Pages287
    BindingHardcover
    LanguageEnglish
    Publish YearMarch 2012

    Description

    Taylor and Francis Wind Energy Systems: Solutions For Power Quality & Stabilization by Ali H

    Unlike conventional power plants, wind plants emit no air pollutants or greenhouse gases―and wind energy is a free, renewable resource. However, the induction machines commonly used as wind generators have stability problems similar to the transient stability of synchronous machines. To minimize power, frequency, and voltage fluctuations caused by network faults or random wind speed variations, control mechanisms are necessary. Wind Energy Systems: Solutions for Power Quality and Stabilization clearly explains how to solve stability and power quality issues of wind generator systems. Covering fundamental concepts of wind energy conversion systems, the book discusses several means to enhance the transient stability of wind generator systems. It also explains the methodologies for minimizing fluctuations of power, frequency, and voltage. This accessible book helps researchers and engineers understand the relative effectiveness of each method and select a suitable tool for wind generator stabilization. It also offers students an introduction to wind energy conversion systems, providing insights into important grid integration and stability issues.


    Key Features:-

    • An overview of wind energy and wind energy conversion systems
    • Fundamentals of electric machines and power electronics
    • Types of wind generator systems
    • Challenges in integrating wind power into electricity grids
    • Solutions for power quality problems
    • Methods for improving transient stability during network faults


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