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 , genetic algorithm , scheduling (production processes) , unit (ring theory) , computer science , wind power , environmental science , mathematical optimization , operations research , real time computing , engineering , electrical engineering , operations management , mathematics , physics , electric power system , machine learning , power (physics) , mathematics education , quantum mechanics