Parameter Optimization of Swing Curve by Cuckoo Search

Cuckoo Search algorithm to optimize parameters for a swing curve simulation in a power system
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Actualizado 23 jul 2023

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The program focuses on optimizing four parameters (pm, pm1, pm2, and pm3) for a swing curve simulation that represents the rotor angle during a fault clearance event. The Cuckoo Search algorithm is utilized for its effective exploration capabilities and ability to find the best parameter configuration within the specified bounds. The algorithm iteratively generates new candidate solutions (cuckoo's eggs) using Levy flight steps, evaluates their fitness based on the swing curve performance, and replaces less fit solutions with new ones based on a probability. This process continues over multiple iterations to converge towards an optimal solution that best aligns with the desired target angle and time for the swing curve simulation.

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recent works (2024). Parameter Optimization of Swing Curve by Cuckoo Search (https://www.mathworks.com/matlabcentral/fileexchange/132628-parameter-optimization-of-swing-curve-by-cuckoo-search), MATLAB Central File Exchange. Recuperado .

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Se creó con R2023a
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Versión Publicado Notas de la versión
1.0.0