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Using PSO and BA to design Optimal Speed Parameters of Wind Turbine Generators The document discusses using Particle Swarm Optimization (PSO) and Bees Algorithm (BA) to optimize the cut-in, rated, and cut-off speeds of wind turbines to maximize energy generation and capacity factor. Mathematical models are presented to calculate normalized power and capacity factor based on speed parameters. Case studies applying PSO and BA to identify optimal speed parameters for wind farms in Egypt are discussed to maximi

Author

Samir2020

Language

EN