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A study of generator operating point regulation based on fuzzy control
Author(s) -
Guo Bin,
Tanaka Eiichi,
Hasegawa Jun
Publication year - 1995
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/eej.4391150505
Subject(s) - control theory (sociology) , operating point , generator (circuit theory) , control engineering , controller (irrigation) , fuzzy control system , range (aeronautics) , fuzzy logic , observer (physics) , computer science , point (geometry) , power (physics) , engineering , control (management) , mathematics , electronic engineering , agronomy , physics , geometry , quantum mechanics , artificial intelligence , aerospace engineering , biology
As the load in a power system continually changes, it is important to regulate the generator operating point. In this paper, assuming a suitable operating range for the generator the regulations for typical generator operating points within this range are selected and then fuzzy controllers are designed accordingly. To investigate the adaptation of each controller, many simulations are carried out for the various operating point changes. By quantitative investigation of the control performance of the adaptive controllers, a design method for fuzzy controllers for generator operating point regulation is proposed. Furthermore, a comparative estimation of the fuzzy control formula and optimal control formula with an observer is made using a common quantitative criterion. In addition, a one‐machine infinite‐bus system (including limits on the AVR and governor) is used as the control object model.