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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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://nl.mathworks.com/matlabcentral/fileexchange/175155-corona-loss-optimization-by-genetic-algorithm), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0 (1.53 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0 |
