| dc.description.abstract | This paper presents power flow optimization using UPFC
based on neuro-fuzzy method for multi-machine power system
stability. The controllers of power flow must be able to control
both active and reactive power flow without reducing the
stability of the power system. The recent power flow
technology is the use of a Unified Power Flow Controller
(UPFC). The common transmission line parameters, i.e.
impedance, voltage, and phase angle, can be controlled
simultaneously by the UPFC. UPFC could provide the
different functions when the inserted voltages have different in
magnitudes and phase angles. In the literature, some traditional
techniques used in UPFC are still firmly with logic. These
techniques have difficulties to multi-machine systems which is
very dynamic. Therefore, the method based on neuro-fuzzy is
implemented to the adaptive UPFC for adaptively controlling
the power flow in dynamic multi-machine system in this study.
The three phase fault is done to the multi-machine system. The
adaptive neuro-fuzzy UPFC controller show that the overshoot
occurred during the fault is low. | en_US |
