Automatic generation control optimization for power system resilience under real world load variations using genetic algorithm.

Ayaz M, Baig DE, Hur Rizvi SM, Alharbi SS, Iqbal S, Shafiullah M

DOI: 10.1038/s41598-025-03608-1
Published: 2025 Jul 1
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-025-03608-1,
  title = {Automatic generation control optimization for power system resilience under real world load variations using genetic algorithm.},
  author = {Ayaz M and Baig DE and Hur Rizvi SM and Alharbi SS and Iqbal S and Shafiullah M},
  year = {2025},
  journal = {Scientific reports},
  doi = {10.1038/s41598-025-03608-1},
  url = {https://doi.org/10.1038/s41598-025-03608-1}
}

RIS

TY  - JOUR
TI  - Automatic generation control optimization for power system resilience under real world load variations using genetic algorithm.
AU  - Ayaz M
AU  - Baig DE
AU  - Hur Rizvi SM
AU  - Alharbi SS
AU  - Iqbal S
AU  - Shafiullah M
PY  - 2025
JO  - Scientific reports
DO  - 10.1038/s41598-025-03608-1
UR  - https://doi.org/10.1038/s41598-025-03608-1
ER  -

APA

M, A., DE, B., SM, H. R., SS, A., S, I., & M, S. (2025). Automatic generation control optimization for power system resilience under real world load variations using genetic algorithm.. Scientific reports. https://doi.org/10.1038/s41598-025-03608-1

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pubmed · retrieved 2026-11-10T11:34:13.348Z