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Stabilizing control of power system using fuzzy control
Author(s) -
Iskandar Marzan Aziz,
Mizutani Yoshibumi,
Suzuki Akio,
Ishizeki Mitsuo
Publication year - 1994
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.4391140304
Subject(s) - control theory (sociology) , controller (irrigation) , fuzzy control system , signal (programming language) , acceleration , fuzzy logic , control system , power (physics) , computer science , control engineering , engineering , control (management) , artificial intelligence , physics , electrical engineering , classical mechanics , quantum mechanics , agronomy , biology , programming language
This paper presents an application of fuzzy control to enhance power system stability. The proposed control consists of the controller for large disturbance (FU 1), the fuzzy controller for small disturbance (FU 2), and the fuzzy judgment mechanism (FU 3). FU 1 is determined based on the fuzzy controller [FU 1( F )] is determined according to the control rules and its input signals, i.e., speed deviation and acceleration at every sampling time of the machine. FU 2 consists of two controllers, namely, FU 2‐ω and FU 2‐ P; FU 2‐ω has the same mechanism as FU 1, while the output signal of FU 2‐ P is determined according to the rules together with the change of error of electrical power and terminal voltage. To obtain the optimal desired control signal during both the large and the small disturbances, the operations of FU 1 and FU 2 are judged by FU 3, where the magnitude of speed deviation is chosen as its input signal. The determined control signal is fed to AVR of the machine. The implementation of the proposed control is simple due to the small amount of calculations and required data. The effectiveness of the proposed control is demonstrated by the one‐machine infinite‐bus system model and very good system performance is obtained throughout all the simulations.