Open AccessExploiting advanced genetic algorithm technique in optimal scheduling of pumped storage hydropower plant and wind farms in unit commitment program
Author(s) -
Naidoo et al.
Publication year - 2019
Publication title -
annals of electrical and electronic engineering
Language(s) - English
Resource type - Journals
eISSN - 2616-9061
pISSN - 2616-9053
DOI - 10.21833/aeee.2019.02.002
Subject(s) - power system simulation , hydropower , scheduling (production processes) , wind power , unit (ring theory) , computer science , genetic algorithm , mathematical optimization , algorithm , operations research , engineering , electrical engineering , mathematics , electric power system , machine learning , physics , power (physics) , mathematics education , quantum mechanics
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