Flexible AC Transmission System (FACTS) devices are used in to improve stability and loadability of
transmission networks as well as minimise losses . Types of FACTS that are normally used are Thyristor
Controller Series Compensator (TCSC) and Unified Power Flow Controller (UPFC) which is to control
power flow and stability of the power system at a certain location. The TCSC is suitable because it can
be installed in a long transmission line system while UPFC can solve any reactive power problems.
The objective of this study is to minimise total power losses and to improve the voltage profile by using
FACTS devices in the transmission system. This paper proposes a static voltage stability index (SVSI)
to determine the size and placement of TCSC and the Evolutionary Programming (EP) technique. The
results of the transmission line losses and voltage profile using TCSC and UPFC are compared in order
to demonstrate which FACTS device can produce better results. The IEEE 14 bus system is used in this
study to validate the findings.
This paper presents adaptive particle swarm optimization for solving non-convex economic dispatch problems. In this study, a new technique was developed known as adaptive particle swarm optimization (APSO), to alleviate the problems experienced in the traditional particle swarm optimisation (PSO). The traditional PSO was reported that this technique always stuck at local minima. In APSO, economic dispatch problem are considered with valve point effects. The search efficiency was improved when a new parameter was inserted into the velocity term. This has achieved local minima. In order to show the effectiveness of the proposed technique, this study examined two case studies, with and without contingency.