Wind Power Systems Applications of Computational Intelligence /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Wang, Lingfeng. (Editor), Singh, Chanan. (Editor), Kusiak, Andrew. (Editor)
• Format: Electronic
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Series: Green Energy and Technology,
• Subjects: Engineering.; Artificial intelligence.; Engineering mathematics.; Production of electric energy or power.; Renewable energy sources.; Renewable and Green Energy.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Power Electronics, Electrical Machines and Networks.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-13250-6

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 nations energy security. For example, recently more significant amounts of wind power are being integrated into co...

Table of Contents:

• From the Contents: Optimal Allocation of Power-Electronic Interfaced Wind Turbines Using a Genetic Algorithm - Monte Carlo Hybrid Optimization Method
• Optimal Conductor Size Selection in Distribution Systems with Wind Power Generation
• Global optimization of wind farms using evolutive algorithms
• Capacity Benefit Margin Evaluation in Multi-Area Power Systems Including Wind Power Generation Using Particle Swarm Optimization
• Global optimization of wind farms using evolutive algorithms
• Global optimization of wind farms using evolutive algorithms
• Wind Turbine Diagnostics based on Power Curve Using Particle Swarm Optimization
• Optimal controller design of a wind turbine with doubly fed induction generator for small signal stability enhancement.