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Cooperative Fuzzy Control of AVR and GOV Based on Sliding Mode to Improve Transient Stability of Power Systems
Author(s) -
Senjyu Tomonobu,
Gibo Naoki,
Uezato Katsumi
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.4391150208
Subject(s) - control theory (sociology) , fuzzy logic , robustness (evolution) , transient (computer programming) , fuzzy control system , sliding mode control , electric power system , control engineering , controller (irrigation) , engineering , control system , computer science , power (physics) , nonlinear system , control (management) , artificial intelligence , agronomy , biochemistry , chemistry , physics , electrical engineering , quantum mechanics , biology , gene , operating system
This paper proposes the cooperative fuzzy control of AVR and GOV to improve the transient stability of power systems. The fuzzy rules to stabilize the power systems are selected from general ideas based on the sliding mode controller. Both the AVR and GOV inputs are determined to satisfy system stability from the values of state variables, acceleration power and magnitude of their products. Moreover, these control laws reduce the chattering effect due to discontinuity of the control laws. Therefore, the fuzzy controller acts to improve the transient stability of power systems. By introducing the ideas of sliding mode control, the fuzzy rules and composition of membership functions can be constructed easily. The validity and usefulness of the proposed fuzzy controller are tested on a single‐machine infinite‐bus system. It is shown that the proposed controller has robustness against parameter errors in the synchronous machine and that the transient stability of power systems is improved by cooperative AVR and GOV control.