Optimal SSSC design for damping power systems oscillations via Gravitational Search Algorithm

Faculty Engineering Year: 2016
Type of Publication: ZU Hosted Pages: 161-168
Authors:
Ehab Saliem Ali Mohamed Salamh
Journal: Electrical Power and Energy Systems ScienceDirect - Elsevier Volume:
Keywords : Optimal SSSC design , damping power systems    
Abstract:
In recent years, various heuristic optimization methods have been developed. Many of these methods are inspired by swarm behaviors in nature. In this paper, a new optimization algorithm namely Gravitational Search Algorithm (GSA) based on
    
     
 
       

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  • Ehab Saliem Ali Mohamed Salamh, "Design of Adaptive Power System Stabilizer Using Fuzzy Logic Controller", Sultanet Oman, 2001 More
  • Ehab Saliem Ali Mohamed Salamh, "Unified Power Flow Controller Design for Power System Stability Enhancement via Bacteria Foraging Optimization Algorithm", JEE, 2010 More

Department Related Publications

  • Amal Farouk Abdelgawad Badaawi, "Power Factor Improvement for Pumping Stations using Capacitor Banks", Int. J. Emerg. Electr. Power Syst., 2016 More
  • Hytham Saad Mohamed Ramadan, "Power Factor Improvement for Pumping Stations using Capacitor Banks", Int. J. Emerg. Electr. Power Syst., 2016 More
  • Ahmed Mohamed Othman Abdelmaksoud, "Particle Swarm Optimization and Genetic Algorithm for Convex and Non-convex ED", International Review of Electrical Engineering (IREE), 2014 More
  • Abdellatif Mohamed Abdelattef Elzen, "Incipient electric field determination for bush and streamer stage and dielectric liquid under energy balance condition", Elsevier, 2016 More
  • Ehab Saliem Ali Mohamed Salamh, "Load Frequency Controller Design via Artificial Cuckoo Search Algorithm", Taylor & Francis, 2016 More
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