الفهرس 
CHAPTER (1): INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
This thesis presents an efficient and reliable evolutionary-based approach to solve the optimal power flow (OPF) problem. This approach utilizes the global and local exploration capabilities of particle swarm optimization (PSO) to search for optimal setting of (Flexible AC Transmission systems) FACTS incorporated to power systems. The OPF which is formulated as a nonlinear constrained objective optimization problem with both equality and inequality constraints. To illustrate the effectiveness of the proposed algorithm, the obtained results from the PSO are compared with that obtained using other techniques such as non-linear programming method (NLP), evolutionary programming (EP), tabu search (TS), improved evolutionary algorithm (IEP) and GA-Fuzzy system. Different types of FACTS are incorporated with the systems under study to enhance the power system performance. However, three different types of FACTS devices will be presented in this thesis; they are a conventional shunt type such as Static Var Compensator (SVC), an advanced shunt type such as Static Synchronous Compensator (STATCOM) as well as Unified Power Flow Controller (UPFC) as an advanced series-shunt type. These FACTS devices incorporated with the studied systems which are discussed individually. The optimal location of FACTS devices play a key role in achieving the proper functionality of these devices. Application of the proposed PSO has been successfully applied with two different test power systems, the first one is the standard IEEE 30-bus test power system and the second is the standard IEEE 57 bus test power system. Each of the FACTS devices is firstly incorporated with the studied systems to enhance the power systems performance and then the PSO technique is applied to solve the objective functions under certain constraints. Also, the proposed method is used to determine the optimal location of FACTS devices. The simulation results for the studied systems without using FACTS have been compared with these obtained after connecting the FACTS devices at the suitable location.
The results show the effectiveness of the proposed STATCOM with optimal settings at the optimal location compared with SVC in terms of reduced total fuel cost, power loss and voltage deviation. Also, the results show the effectiveness of UPFC with optimal settings over the SVC and the STATCOM under the same operating conditions. Which confirms the success of the proposed approach when applied to the studied power systems.