Abstract:
A power system is a complex, nonlinear, and dynamic system, with its operating
parameters continuously changing with time. High-voltage transmission power systems are
frequently subject to transient instability problems due to the complexity of large load lines
and faults, which results in power losses and higher voltage deviation. This problem can
lead to catastrophic events such as cascading failure and/or widespread blackouts. Based
on the collected data in 2021 G.C from the EEP office, Ethiopia's high-voltage transmission
power system in the North-West region is a victim of this problem. Due to the growth in
demand for electrical energy, the maximum capacity of the transmission lines should be
increased to ensure a secure and uninterrupted power supply to consumers. This can be
achieved by means of the installation of flexible AC transmission system (FACTs) devices.
To address the problem, this thesis uses ANFIS-based UPFC for high-voltage transmission
lines. Preference was given to this device for its fast-acting reactive power compensation
on high-voltage transmission networks. The PSO algorithm was used to locate the optimal
placement of the UPFC. Voltage error and rate of change of voltage error, which are
extracted from PI-based UPFCs, are the inputs to the ANFIS controller. Of the extracted
data, 70% is used for ANFIS training, and 30% is used for ANFIS testing. Different
disturbances, such as three-phase with ground fault and single-phase with ground fault, are
used to demonstrate the performance of the suggested controller. For instance, when a
three-phase with ground fault occurs at the midpoint of the Beles to Bahir Dar transmission
line, the settling time of rotor angle deviation, rotor speed, rotor speed deviation, and output
active power of synchronous generators using ANFIS-based UPFC is reduced by 70.58 %,
37.75 %, 37.75 %, and 43.75 %, respectively, compared to a system without UPFC. The
active power loss reduced by PI-based UPFC and ANFIS-based UPFC on the Beles to
Bahir Dar transmission line at peak load is 51.25 % and 71.50 %, respectively, compared
to a system without UPFC. On the other hand, the active power loss reduced by PI-based
UPFC and ANFIS-based UPFC on the Bahir Dar to D/Markos transmission line at peak
load is 20 % and 47.9 %, respectively, compared to a system without UPFC. ANFIS-based
UPFC provides a better result than PI-based UPFC for transient stability enhancement in
terms of percentage overshoot and settling time.
Keywords: FACTs, UPFC, PI Controller, ANFIS, power system, PSO