Open AccessAssess and Predict Automatic Generation Control Performances for Thermal Power Generation Units Based on Modeling Techniques
Author(s) -
Yan Zhao,
Zijiang Yang,
Song Gao,
Liu Jin-biao
Publication year - 2018
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/113/1/012113
Subject(s) - automatic generation control , electricity generation , electric power system , power (physics) , measure (data warehouse) , nonlinear system , computer science , set (abstract data type) , control theory (sociology) , engineering , reliability engineering , control engineering , control (management) , data mining , artificial intelligence , physics , quantum mechanics , programming language