Improved particle swarm optimization for global maximum power point tracking of partially shaded PV array

Faculty Engineering Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Ahmed Ibrahiem Mohamed ebrahiem
Journal: zagazig university Springer Volume:
Keywords : Improved particle swarm optimization for global maximum    
Abstract:
This paper presents an improved particle swarm optimization (PSO) algorithm for determining the global maximum power point tracking (GMPP) of photovoltaic (PV) array under partially shaded conditions (PSC). Under PSC, the power–voltage ch
    
     
 
       

Author Related Publications

  • Ahmed Ibrahiem Mohamed ebrahiem, "Improved particle swarm optimization for global maximum power point tracking of partially shaded PV array", Springer, 2019 More
  • Ahmed Ibrahiem Mohamed ebrahiem, "Short Term Load Forecasting Using BP Neural Network Optimized by Particle Swarm Optimization", Italy, 2013 More

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  • Ehab Saliem Ali Mohamed Salamh, "Load Frequency Controller Design via Artificial Cuckoo Search Algorithm", Taylor & Francis, 2016 More
  • Ehab Saliem Ali Mohamed Salamh, "Speed control of SRM supplied by photovoltaic system via ant colony optimization algorithm", Springer, 2017 More
  • Sahar Mohamed Abdelaziem Ahmed Eldeeb, "Speed control of SRM supplied by photovoltaic system via ant colony optimization algorithm", Springer, 2017 More
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