Wind power optimization using modified memetic algorithm

Priyanka Sinha 1, * and Pritam Roy 2

1 Data Scientist, DTE Energy, Michigan, USA.
2 Lead, Tech Mahindra, India.
 
Research Article
International Journal of Science and Research Archive, 2024, 11(02), 1790–1797.
Article DOI: 10.30574/ijsra.2024.11.2.0612
 
Publication history: 
Received on 29 February 2024; revised on 15 April 2024; accepted on 18 April 2024
 
Abstract: 
This research paper introduces an approach for optimizing the design of wind turbines to enhance their electrical output. To efficiently convert wind energy into electrical energy, a specific turbine design is essential. The study employs a modified shuffled frog-leaping algorithm (MSFLA), an improved variant of the memetic algorithm, to determine the optimal wind power coefficient by adjusting rotor speed at various wind velocities (including rated, cut-in, and cut-out speeds). MSFLA combines global and local search techniques, following divide-and-conquer principles, to achieve better results. By imposing specific turbine constraints, the simulation demonstrates that the wind power coefficient can be increased under optimized conditions.
 
Keywords: 
Memetic algorithm; Frog leaping algorithm; Wind turbine; Power optimization.
 
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