الفهرس 
IntroductionOnly 14 pages are availabe for public view
 |  | from | 137 |  |  |
| | | from | 137 | | |
Abstract
Optimal Power Flow (OPF) problem in electrical power systems is considered as a static non-linear, optimization problem. As the power industrial companies have been moving into a more competitive environment, OPF has been used as a tool to define the level of the inter-utility power exchange.
This thesis provides a new approach to solve the OPF problem considering critical objective functions for utility/industrial companies, while satisfying a set of system operating constraints. An efficient software package is developed with MATLAB based on the Particle Swarm Optimization (PSO) technique as a one of the powerful methods in the area of solving optimization problems using Artificial Intelligence techniques. The IEEE-30 bus system is used throughout this work to test the proposed algorithm.
A comparison between results of different objective functions is discussed. Further objective functions and constraints can be easily added to the developed software package in order to study the overall performance of such modifications.
The effects of applying different FACTS devices in the IEEE-30 bus system are investigated. The applied FACTS controllers are; Static Var Controllers (SVC) and Thyristor Controlled Series Capacitor (TCSC)
The proposed algorithm decides the optimal location and size of the specified FACTS devices to achieve the required objective function while satisfying system constraints.