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GA Paper Milo by rb.20ee1101 is a document available to read on EtoBox.

This paper proposes a Genetic Algorithm-based method for the optimal placement and sizing of passive power filters to reduce harmonics in radial distribution systems. The approach formulates the problem as a nonlinear multi-objective optimization task, aiming to minimize harmonic distortion, investment costs, and power losses, while ensuring compliance with IEEE standards. Results demonstrate that the Genetic Algorithm provides effective and high-quality solutions compared to other optimization techniques.

Author

rb.20ee1101

Language

EN