Hybrid Genetic Algorithm Fuzzy-Based Control Schemes for Small Power System with High-Penetration Wind Farms

Faculty Engineering Year: 2018
Type of Publication: ZU Hosted Pages:
Authors:
Amal Farouk Abdelgawad Badaawi
Journal: Applied Sciences MDPI AG ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND Volume: 8
Keywords : Hybrid Genetic Algorithm Fuzzy-Based Control Schemes    
Abstract:
Wind is a clean, abundant, and inexhaustible source of energy. However, wind power is not constant, as windmill output is proportional to the cube of wind speed. As a result, the generated power of wind turbine generators (WTGs) fluctuates
    
     
 
       

Author Related Publications

  • Amal Farouk Abdelgawad Badaawi, "Fault Location in Power Distribution Transmission Lines Utilizing either Curve Fitting or Neural Networks", Cigre'2005, Egypt, 2005 More
  • Amal Farouk Abdelgawad Badaawi, "Experimental Estimation of the Fault Location for the Transmission Line from One End", PSP 2006, Bled, Slovenia, 2006 More
  • Amal Farouk Abdelgawad Badaawi, "Studying the Impact of Different Lighting Loads on both Harmonics and Power Factor", UPEC2007, University of Brighton, UK, 2007 More
  • Amal Farouk Abdelgawad Badaawi, "Fault Type Classification in Power Distribution Feeders Utilizing Statistical Functions and Neural Networks", UPEC2003, Aristotle University, Thessaloniki, Greec, 2003 More
  • Amal Farouk Abdelgawad Badaawi, "Mitigation the Effect of TCSC on the Transmission Lines Protection Devices", UPEC2007, University of Brighton, UK, 2007 More

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