Corona loss optimization by Genetic Algorithm

corona loss can focus on minimizing corona discharge effects in high-voltage transmission and distribution
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Updated 7 Nov 2024

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The primary goal is to reduce the energy losses caused by corona discharge, improve the efficiency of transmission lines, and avoid issues like electromagnetic interference (EMI) and audible noise. This can be achieved by optimizing various design parameters of the transmission lines, such as conductor spacing, diameter, voltage levels, and environmental conditions.

Cite As

praveen kumar (2026). Corona loss optimization by Genetic Algorithm (https://uk.mathworks.com/matlabcentral/fileexchange/175155-corona-loss-optimization-by-genetic-algorithm), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2024b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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corona loss optim

Version Published Release Notes
1.0.0